{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.insert(0, \"../\")\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xalpha as xa\n",
    "xa.set_backend(backend=\"csv\", path=\"../data\", precached=\"20170103\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from lof.predict import estimate_table , analyse_all, estimate_table_with_pos\n",
    "from lof.holdings import holdings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 南方原油"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "nfyy = \\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F501018\": 100}), (\"est\", holdings[\"501018\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.13174461054574946 \n",
      "标准差偏离：  0.1932435798187427\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.684 \n",
      "5% 分位:  -0.288 \n",
      "25% 分位:  -0.089 \n",
      "50% 分位:  0.001 \n",
      "75% 分位:  0.083 \n",
      "95% 分位:  0.292 \n",
      "99% 分位:  0.389\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.34 \n",
      "预测涨的比实际多:  0.22 \n",
      "预测跌的比实际多:  0.17 \n",
      "预测跌的比实际少:  0.28\n"
     ]
    }
   ],
   "source": [
    "analyse_all(nfyy, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
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width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1221e5400>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.distplot(list(nfyy[\"diff_real_est\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "20190814 95.56542205334783\n",
      "20190815 95.4689973624791\n",
      "20190816 94.37564982805695\n",
      "20190819 94.37473776832783\n",
      "20190820 92.57042893710461\n",
      "20190821 93.92451406638433\n",
      "20190822 94.1518889901149\n",
      "20190823 93.54810925839877\n",
      "20190826 92.3462625679791\n",
      "20190827 96.1781884803884\n",
      "20190828 94.29082369861767\n",
      "20190829 92.0820053904515\n",
      "20190830 96.73283452097574\n",
      "20190902 95.84689202758707\n",
      "20190903 96.6585506750083\n",
      "20190904 94.53016196357505\n",
      "20190905 95.06086545976878\n",
      "20190906 95.63934716699639\n",
      "20190909 93.9185564684255\n",
      "20190910 91.33369685645081\n",
      "20190911 92.04587774349261\n",
      "20190912 92.29873488458942\n",
      "20190916 89.8062935972953\n",
      "20190917 92.84202798415694\n",
      "20190918 92.43462942072114\n",
      "20190919 92.65539111715827\n",
      "20190920 92.0030470546091\n",
      "20190923 91.99574275659674\n",
      "20190924 91.30980344265903\n",
      "20190925 90.31933336019264\n",
      "20190926 91.6965813233175\n",
      "20190927 93.77747478219858\n",
      "20190930 93.93861267813871\n",
      "20191008 95.05851983054474\n",
      "20191009 95.55991963262576\n",
      "20191010 94.70424775458869\n",
      "20191011 94.6969707103485\n",
      "20191014 94.29658193425988\n",
      "20191015 96.6062426617909\n",
      "20191016 94.43332767890877\n",
      "20191017 97.1792516244434\n",
      "20191018 98.12971030563334\n",
      "20191021 97.23484104484713\n",
      "20191022 95.78929298734353\n",
      "20191023 93.06633431698712\n",
      "20191024 95.55803640601529\n",
      "20191025 96.11727742428688\n",
      "20191028 96.97345160533871\n",
      "20191029 95.1065951667566\n",
      "20191030 97.77365492700207\n",
      "20191031 98.90704936769589\n",
      "20191101 96.7042475431054\n",
      "20191104 96.69010848130661\n",
      "20191105 97.29105955270792\n",
      "20191106 97.42871187856204\n",
      "20191107 96.14174595525786\n",
      "20191108 96.31767336729915\n",
      "20191111 95.23706242329341\n",
      "20191112 94.14125511324706\n",
      "20191113 91.31230590034812\n",
      "20191114 92.7772778901933\n",
      "20191115 96.32989503776075\n",
      "20191118 95.53071837954214\n",
      "20191119 93.94249844826365\n",
      "20191120 95.897485484709\n",
      "20191121 96.7880822033708\n",
      "20191122 97.30504310982323\n",
      "20191125 96.52198605165165\n",
      "20191126 97.21906783717331\n",
      "20191127 98.74032174508467\n",
      "20191128 95.64329361518152\n",
      "20191129 98.84223338520515\n",
      "20191202 98.70002215364413\n",
      "20191203 96.23953650463594\n",
      "20191204 98.56818493020346\n",
      "20191205 99.89892000006923\n",
      "20191206 100.0\n",
      "20191209 96.4295523744025\n",
      "20191210 96.6857211169727\n",
      "20191211 97.05476895234965\n",
      "20191212 96.13421830760592\n",
      "20191213 95.83913594233506\n",
      "20191216 96.14701380033414\n",
      "20191217 95.92273916839407\n",
      "20191218 95.66556386285724\n",
      "20191219 95.29111164999073\n",
      "20191220 95.81072254375701\n",
      "20191223 96.07298677177356\n",
      "20191224 96.60003896437877\n",
      "20191225 97.5819208138721\n",
      "20191226 97.84674157882897\n",
      "20191227 95.25260494493743\n",
      "20191230 95.04374116451405\n",
      "20191231 93.39947491687953\n",
      "20200102 95.9293452802388\n",
      "20200103 95.42913983761969\n",
      "20200106 95.19868841266171\n",
      "20200107 94.45171419684551\n",
      "20200108 95.21723086463876\n",
      "20200109 94.69168571149305\n",
      "20200110 94.01272653305185\n",
      "20200113 93.22840730938807\n",
      "20200114 91.91960191526093\n",
      "20200115 91.09947833666325\n",
      "20200116 90.5875588334005\n",
      "20200117 90.2306879696269\n",
      "20200120 91.84029226085877\n",
      "20200121 92.78298381270122\n",
      "20200122 93.40135790797162\n",
      "20200123 95.40129389475801\n",
      "20200203 94.90541443824806\n",
      "20200204 92.91172553278456\n",
      "20200205 92.99172599134864\n",
      "20200206 91.9742058693125\n",
      "20200207 89.38378390276563\n",
      "20200210 88.38204421968352\n",
      "20200211 86.33783563050063\n",
      "20200212 86.21365976322114\n",
      "20200213 83.63014517928202\n",
      "20200214 81.94941288202585\n",
      "20200217 81.10958478007417\n",
      "20200218 81.43897868407669\n",
      "20200219 81.72217402800237\n",
      "20200220 83.80321465736029\n",
      "20200221 84.86542458438068\n",
      "20200224 83.56560513230932\n",
      "20200225 85.24253120634647\n",
      "20200226 84.2307250076849\n",
      "20200227 85.68627678672918\n",
      "20200228 88.06714633732634\n",
      "20200302 87.10920353481362\n",
      "20200303 87.19342918748322\n",
      "20200304 87.34939717091778\n",
      "20200305 86.30072845206428\n"
     ]
    }
   ],
   "source": [
    "nfyy = \\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F501018\": 100}), (\"est\", holdings[\"501018\"]),\n",
    "               float_holdings=True, window=4, decay=0.65, smooth=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.1311503341239221 \n",
      "标准差偏离：  0.19041538962622517\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.614 \n",
      "5% 分位:  -0.331 \n",
      "25% 分位:  -0.086 \n",
      "50% 分位:  -0.001 \n",
      "75% 分位:  0.081 \n",
      "95% 分位:  0.292 \n",
      "99% 分位:  0.408\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.29 \n",
      "预测涨的比实际多:  0.26 \n",
      "预测跌的比实际多:  0.2 \n",
      "预测跌的比实际少:  0.25\n"
     ]
    }
   ],
   "source": [
    "analyse_all(nfyy, \"diff_real_est\") ## 略改善"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "nfyy = \\\n",
    "estimate_table_with_pos(\"20190101\", \"20200305\", (\"real\", {\"F501018\": 100}), (\"est\", holdings[\"501018\"]),\n",
    "              )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.13673210395925103 \n",
      "标准差偏离：  0.19784112535689902\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.717 \n",
      "5% 分位:  -0.305 \n",
      "25% 分位:  -0.098 \n",
      "50% 分位:  -0.005 \n",
      "75% 分位:  0.09 \n",
      "95% 分位:  0.325 \n",
      "99% 分位:  0.463\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.31 \n",
      "预测涨的比实际多:  0.24 \n",
      "预测跌的比实际多:  0.17 \n",
      "预测跌的比实际少:  0.28\n"
     ]
    }
   ],
   "source": [
    "analyse_all(nfyy, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 华宝油气"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "hbyq = \\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F162411\": 100}), (\"est\", holdings[\"162411\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.11067137837382375 \n",
      "标准差偏离：  0.1466540526054426\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.351 \n",
      "5% 分位:  -0.235 \n",
      "25% 分位:  -0.092 \n",
      "50% 分位:  -0.005 \n",
      "75% 分位:  0.083 \n",
      "95% 分位:  0.183 \n",
      "99% 分位:  0.487\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.27 \n",
      "预测涨的比实际多:  0.25 \n",
      "预测跌的比实际多:  0.22 \n",
      "预测跌的比实际少:  0.27\n"
     ]
    }
   ],
   "source": [
    "analyse_all(hbyq, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10b541b38>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.distplot(list(hbyq[\"diff_real_est\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/shixin/Documents/newwork/quant finance/xalpha/xalpha/universal.py:111: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[k] = df[k].apply(_float)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190103 91.02316508226221\n",
      "20190104 91.18736806909216\n",
      "20190107 91.42294464302962\n",
      "20190108 91.31293026490012\n",
      "20190109 91.47956245149223\n",
      "20190110 91.64779927110968\n",
      "20190111 91.4480866568967\n",
      "20190114 92.88908979944209\n",
      "20190115 93.26315381766078\n",
      "20190116 90.5099246529659\n",
      "20190117 89.30486689245382\n",
      "20190118 92.15168621763824\n",
      "20190121 92.99372549848364\n",
      "20190122 92.79668932563207\n",
      "20190123 92.6756540910683\n",
      "20190124 94.42684208140221\n",
      "20190125 93.09450736383893\n",
      "20190128 92.63988656220975\n",
      "20190129 92.77584558263577\n",
      "20190130 92.97451594230357\n",
      "20190131 92.26914844087126\n",
      "20190201 91.50933803903732\n",
      "20190211 92.90278673414241\n",
      "20190212 92.65209222168077\n",
      "20190213 91.92977284123937\n",
      "20190214 92.48416332566121\n",
      "20190215 92.4832972441177\n",
      "20190218 92.48329724411768\n",
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      "../lof/predict.py:108: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ratio = realf / estf\n"
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      "20200305 84.9428088672791\n"
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   ],
   "source": [
    "hbyq = \\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F162411\": 100}), (\"est\", holdings[\"162411\"]),\n",
    "               float_holdings=True, window=4, decay=0.65, smooth=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.09761915454118616 \n",
      "标准差偏离：  0.12635002727389924\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.308 \n",
      "5% 分位:  -0.196 \n",
      "25% 分位:  -0.073 \n",
      "50% 分位:  0.003 \n",
      "75% 分位:  0.085 \n",
      "95% 分位:  0.197 \n",
      "99% 分位:  0.332\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.27 \n",
      "预测涨的比实际多:  0.24 \n",
      "预测跌的比实际多:  0.25 \n",
      "预测跌的比实际少:  0.24\n"
     ]
    }
   ],
   "source": [
    "analyse_all(hbyq, \"diff_real_est\") # 存在改善！"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/shixin/Documents/newwork/quant finance/xalpha/xalpha/universal.py:138: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[k] = df[k].apply(_float)\n"
     ]
    }
   ],
   "source": [
    "hbyq = \\\n",
    "estimate_table_with_pos(\"20190101\", \"20200305\", (\"real\", {\"F162411\": 100}), (\"est\", holdings[\"162411\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.0889651321145134 \n",
      "标准差偏离：  0.11984714572662096\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.321 \n",
      "5% 分位:  -0.219 \n",
      "25% 分位:  -0.068 \n",
      "50% 分位:  0.002 \n",
      "75% 分位:  0.078 \n",
      "95% 分位:  0.161 \n",
      "99% 分位:  0.247\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.27 \n",
      "预测涨的比实际多:  0.24 \n",
      "预测跌的比实际多:  0.24 \n",
      "预测跌的比实际少:  0.25\n"
     ]
    }
   ],
   "source": [
    "analyse_all(hbyq, \"diff_real_est\") # 继续改善"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
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       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1187550b8>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hbyq.plot(x=\"date\", y=[\"estpos\", \"estposld\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 易方达原油"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "yfd = \\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F161129\": 100}), (\"est\", holdings[\"161129\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.14551683914747404 \n",
      "标准差偏离：  0.7442584240573993\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.868 \n",
      "5% 分位:  -0.187 \n",
      "25% 分位:  -0.035 \n",
      "50% 分位:  -0.006 \n",
      "75% 分位:  0.019 \n",
      "95% 分位:  0.182 \n",
      "99% 分位:  0.867\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.31 \n",
      "预测涨的比实际多:  0.27 \n",
      "预测跌的比实际多:  0.13 \n",
      "预测跌的比实际少:  0.29\n"
     ]
    }
   ],
   "source": [
    "analyse_all(yfd, \"diff_real_est\") # 预测性超级差。。。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190103 94.35909958505378\n",
      "20190104 94.29885283914926\n",
      "20190107 94.10632834706732\n",
      "20190108 93.89849682024727\n",
      "20190109 94.15037825949103\n",
      "20190110 93.00084911973276\n",
      "20190111 92.80688500803618\n",
      "20190114 91.89251253268004\n",
      "20190115 90.7209254541996\n",
      "20190116 93.85015008877576\n",
      "20190117 93.30485137355123\n",
      "20190118 93.0799361926993\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../lof/predict.py:108: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ratio = realf / estf\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190122 92.41406480317406\n",
      "20190123 93.05723899047692\n",
      "20190124 92.48351232237006\n",
      "20190125 91.63841277969334\n",
      "20190128 93.5172298621616\n",
      "20190129 94.05332730641469\n",
      "20190130 93.25565046779455\n",
      "20190131 94.32575521391422\n",
      "20190201 95.34466257496861\n",
      "20190211 95.6196933962445\n",
      "20190212 96.55421127268163\n",
      "20190213 95.249406326432\n",
      "20190214 95.32618006003132\n",
      "20190215 95.51157085462339\n",
      "20190218 95.5115708546234\n",
      "20190219 96.33954801413765\n",
      "20190220 96.31725936088765\n",
      "20190221 97.8374073501235\n",
      "20190222 99.86387197067124\n",
      "20190225 98.54989786651848\n",
      "20190226 99.99999999999999\n",
      "20190227 100.00000000000001\n",
      "20190228 98.15642549634896\n",
      "20190301 99.10152029623447\n",
      "20190304 97.20169470469563\n",
      "20190305 96.22849433865704\n",
      "20190306 98.14563572782856\n",
      "20190307 97.45710954771694\n",
      "20190308 95.14178881113892\n",
      "20190311 96.47669566742192\n",
      "20190312 96.86401749678036\n",
      "20190313 96.28949704252715\n",
      "20190314 95.042075350783\n",
      "20190315 94.61042753395493\n",
      "20190318 94.73237563959655\n",
      "20190319 93.73461731412577\n",
      "20190320 95.03048711287062\n",
      "20190321 95.89286265462322\n",
      "20190322 96.37743411169903\n",
      "20190325 95.8203300047816\n",
      "20190326 96.80177782429293\n",
      "20190327 97.30953806778044\n",
      "20190328 97.77804720699457\n",
      "20190329 96.43607096549842\n",
      "20190401 96.94866313730589\n",
      "20190402 96.32083417523646\n",
      "20190403 96.34280476591738\n",
      "20190404 95.84543373988521\n",
      "20190408 95.69950798285743\n",
      "20190409 95.61370390373065\n",
      "20190410 96.43941615016551\n",
      "20190411 96.37673977430387\n",
      "20190412 96.87893669514985\n",
      "20190415 95.85852778255014\n",
      "20190416 96.12931581177668\n",
      "20190417 96.00455619854735\n",
      "20190418 95.85258995695013\n",
      "20190419 95.85258995695011\n",
      "20190423 95.89176907256666\n",
      "20190424 95.74638958039057\n",
      "20190425 97.10102943372249\n",
      "20190426 97.76110288580934\n",
      "20190429 94.74679969089537\n",
      "20190430 95.79928803916243\n",
      "20190507 96.92430580427585\n",
      "20190508 97.10644077360833\n",
      "20190509 97.44583521878847\n",
      "20190510 98.85795542204264\n",
      "20190513 97.17126744328736\n",
      "20190514 97.40781012699068\n",
      "20190515 97.48073964903145\n",
      "20190516 97.34338046843965\n",
      "20190517 96.88095305914\n",
      "20190520 96.60736733660401\n",
      "20190521 96.12732710876901\n",
      "20190522 95.6870435825128\n",
      "20190523 96.18672340649447\n",
      "20190524 96.07005486549615\n",
      "20190527 96.07005486549613\n",
      "20190528 95.18110550114392\n",
      "20190529 94.72237322738344\n",
      "20190530 94.34449963138448\n",
      "20190531 93.31944473161617\n",
      "20190603 94.84403646145948\n",
      "20190604 94.61896579330052\n",
      "20190605 94.27761484209582\n",
      "20190606 94.28442416708002\n",
      "20190610 94.60628196965233\n",
      "20190611 94.33155212157145\n",
      "20190612 93.97898232329172\n",
      "20190613 93.75044037405998\n",
      "20190614 93.81138741057767\n",
      "20190617 93.9381569108144\n",
      "20190618 93.8117594124685\n",
      "20190619 93.42417056005314\n",
      "20190620 93.77148632004061\n",
      "20190621 93.20682106226752\n",
      "20190624 92.43735135236844\n",
      "20190625 93.40793733502444\n",
      "20190626 93.20479176195798\n",
      "20190627 93.37429953460345\n",
      "20190628 93.56174450369166\n",
      "20190701 93.22816147572496\n",
      "20190702 93.15500688166445\n",
      "20190705 94.29822092873485\n",
      "20190708 94.40109561441739\n",
      "20190709 95.21853794024501\n",
      "20190710 96.12931493552033\n",
      "20190711 94.43638978318181\n",
      "20190712 95.3181012082776\n",
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      "20190716 96.34479473672125\n",
      "20190717 97.0930440807886\n",
      "20190718 98.51289398464245\n",
      "20190719 98.83301947063522\n",
      "20190722 96.86555794978257\n",
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      "20190724 97.43897820329185\n",
      "20190725 96.95146807725\n",
      "20190726 96.72226427660938\n",
      "20190729 97.29184188167902\n",
      "20190730 97.1452440997865\n",
      "20190731 96.84685551678687\n",
      "20190801 96.24545569887198\n",
      "20190802 95.89416288292281\n",
      "20190805 95.57089162340272\n",
      "20190806 95.88251159746797\n",
      "20190807 95.27411995301162\n",
      "20190808 96.09977762820212\n",
      "20190809 96.07525878877263\n",
      "20190812 96.07525878877263\n",
      "20190813 95.75938374244843\n",
      "20190814 96.05652654800512\n",
      "20190815 96.48877821148811\n",
      "20190816 96.86989110662671\n",
      "20190819 96.24703842938631\n",
      "20190820 95.74343927199885\n",
      "20190821 95.88833926258054\n",
      "20190822 95.76260303083676\n",
      "20190823 95.25093358180679\n",
      "20190826 95.25093358180678\n",
      "20190827 94.76445879207867\n",
      "20190828 94.39804272166569\n",
      "20190829 93.60009664493104\n",
      "20190830 92.04883123175058\n",
      "20190902 92.0488312317506\n",
      "20190903 95.15738548588136\n",
      "20190904 95.45374605728765\n",
      "20190905 95.60509300113304\n",
      "20190906 96.4555808861729\n",
      "20190909 95.94133604690643\n",
      "20190910 96.4184396951337\n",
      "20190911 97.89104744898653\n",
      "20190912 96.45789640593146\n",
      "20190916 96.45789640593144\n",
      "20190917 96.47737990684418\n",
      "20190918 96.90875257307941\n",
      "20190919 97.25341433460801\n",
      "20190920 96.95611520097317\n",
      "20190924 97.45357728941094\n",
      "20190925 97.66423250459536\n",
      "20190926 97.62652741605363\n",
      "20190927 97.66502840951415\n",
      "20190930 97.14721419342193\n",
      "20191008 96.78433371784277\n",
      "20191009 97.34096975146996\n",
      "20191010 96.86083664624007\n",
      "20191011 96.29631275972383\n",
      "20191014 96.03394510236447\n",
      "20191015 95.8944451977319\n",
      "20191016 95.65605542696386\n",
      "20191017 95.90502045358218\n",
      "20191018 96.47199725606039\n",
      "20191021 97.40570228583067\n",
      "20191022 98.29775422436394\n",
      "20191023 99.76010008006654\n",
      "20191024 97.92495776254424\n",
      "20191025 97.78337661508776\n",
      "20191028 97.90196962854534\n",
      "20191029 97.7126513969212\n",
      "20191030 97.65930436689601\n",
      "20191031 97.9191286569897\n",
      "20191101 97.34406535311541\n",
      "20191104 97.79078185626517\n",
      "20191105 97.45084507710575\n",
      "20191106 97.44875003920454\n",
      "20191107 97.30418686298403\n",
      "20191108 97.12808091153606\n",
      "20191111 98.52144629173199\n",
      "20191112 98.11728707553648\n",
      "20191113 95.65583648133916\n",
      "20191114 96.59209762703016\n",
      "20191115 96.32651750312677\n",
      "20191118 97.49231188424119\n",
      "20191119 96.54443436282175\n",
      "20191120 97.20342455079131\n",
      "20191121 97.25952552216869\n",
      "20191122 98.03313391555562\n",
      "20191125 98.5927175430088\n",
      "20191126 99.46659472029906\n",
      "20191127 99.99999999999999\n",
      "20191128 98.58133823047515\n",
      "20191129 98.41807289499026\n",
      "20191202 98.38302413074949\n",
      "20191203 97.7949389127\n",
      "20191204 96.10660689310619\n",
      "20191205 94.31110435302892\n",
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      "20191210 94.53951335553364\n",
      "20191211 94.72441280016075\n",
      "20191212 95.00528507296845\n",
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      "20191216 94.73999726282348\n",
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      "20191224 95.7304844825557\n",
      "20191225 95.76860686145623\n",
      "20191226 96.59062343660524\n",
      "20191227 93.56498838575334\n",
      "20191230 92.86972299258287\n",
      "20191231 94.77148877641264\n",
      "20200102 95.12771238386411\n",
      "20200103 94.42455847606539\n",
      "20200106 94.04425148204508\n",
      "20200107 94.75308318851387\n",
      "20200108 94.8060046038879\n",
      "20200109 94.53046659413491\n",
      "20200110 94.68362225865964\n",
      "20200113 94.72964490781683\n",
      "20200114 94.6701582996827\n",
      "20200115 94.84085363638393\n",
      "20200116 94.74885934096335\n",
      "20200117 94.51897180003246\n",
      "20200120 94.60047161414033\n",
      "20200121 94.86655359716906\n",
      "20200122 95.03328182529155\n",
      "20200123 96.33323217595849\n",
      "20200203 94.88895387307295\n",
      "20200204 95.55097367578851\n",
      "20200205 96.02642103118973\n",
      "20200206 95.9538501948689\n",
      "20200207 95.87891175431673\n",
      "20200210 93.34168332861374\n",
      "20200211 91.80150986545213\n",
      "20200212 93.24071644708069\n",
      "20200213 93.11811494614359\n",
      "20200214 92.27895110072691\n",
      "20200217 91.22883572242804\n",
      "20200218 90.63122091946846\n",
      "20200219 90.63458670651661\n",
      "20200220 89.8378833362987\n",
      "20200221 92.0480330667887\n",
      "20200224 90.99647356183755\n",
      "20200225 91.27361223203862\n",
      "20200226 91.55897733230482\n",
      "20200227 91.99314687410877\n",
      "20200228 91.36881685171706\n",
      "20200302 91.10239704904794\n",
      "20200303 90.25495471096008\n",
      "20200304 90.25495471096006\n",
      "20200305 89.26949937351488\n"
     ]
    }
   ],
   "source": [
    "yfd = \\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F161129\": 100}), (\"est\", holdings[\"161129\"]), \n",
    "               float_holdings=True, window=4, decay=0.65, smooth=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.14552664698264714 \n",
      "标准差偏离：  0.7525197347974537\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.852 \n",
      "5% 分位:  -0.2 \n",
      "25% 分位:  -0.037 \n",
      "50% 分位:  -0.007 \n",
      "75% 分位:  0.015 \n",
      "95% 分位:  0.186 \n",
      "99% 分位:  0.876\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.24 \n",
      "预测涨的比实际多:  0.34 \n",
      "预测跌的比实际多:  0.17 \n",
      "预测跌的比实际少:  0.25\n"
     ]
    }
   ],
   "source": [
    "analyse_all(yfd, \"diff_real_est\") # 无明显变化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "yfd = \\\n",
    "estimate_table_with_pos(\"20190101\", \"20200305\", (\"real\", {\"F161129\": 100}), (\"est\", holdings[\"161129\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.15115824932756056 \n",
      "标准差偏离：  0.7545173942148973\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.871 \n",
      "5% 分位:  -0.22 \n",
      "25% 分位:  -0.039 \n",
      "50% 分位:  -0.011 \n",
      "75% 分位:  0.019 \n",
      "95% 分位:  0.183 \n",
      "99% 分位:  0.867\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.26 \n",
      "预测涨的比实际多:  0.32 \n",
      "预测跌的比实际多:  0.12 \n",
      "预测跌的比实际少:  0.3\n"
     ]
    }
   ],
   "source": [
    "analyse_all(yfd, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20200303 93.67356452261032\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../lof/predict.py:119: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ratio = realf / estf\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20200305 92.67795478801658\n",
      "20200306 91.28124775416539\n",
      "20200309 89.02570039922193\n",
      "20200310 88.61025671965129\n",
      "20200311 86.77313584841382\n",
      "20200312 83.4295867629937\n",
      "20200313 78.83150991223815\n",
      "20200316 79.50797422018019\n",
      "20200317 80.31698721386726\n",
      "20200318 80.72404430865531\n",
      "20200319 80.18286853978816\n"
     ]
    }
   ],
   "source": [
    "yfd = \\\n",
    "estimate_table(\"20200301\", \"20200319\", (\"real\", {\"F161129\": 100}), (\"est\", holdings[\"161129\"]),\n",
    "              float_holdings=True, window=4, decay=0.65, smooth=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.7886797773559008 \n",
      "标准差偏离：  1.0781728431273583\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -2.325 \n",
      "5% 分位:  -2.237 \n",
      "25% 分位:  -0.427 \n",
      "50% 分位:  -0.059 \n",
      "75% 分位:  0.476 \n",
      "95% 分位:  1.039 \n",
      "99% 分位:  1.123\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.0 \n",
      "预测涨的比实际多:  0.31 \n",
      "预测跌的比实际多:  0.46 \n",
      "预测跌的比实际少:  0.23\n"
     ]
    }
   ],
   "source": [
    "analyse_all(yfd, \"diff_real_est\") # 无明显变化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 嘉实原油"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "jsyy=\\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F160723\": 100}), (\"est\", holdings[\"160723\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.09408298326797263 \n",
      "标准差偏离：  0.14917499656769317\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.456 \n",
      "5% 分位:  -0.213 \n",
      "25% 分位:  -0.064 \n",
      "50% 分位:  -0.012 \n",
      "75% 分位:  0.044 \n",
      "95% 分位:  0.215 \n",
      "99% 分位:  0.53\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.17 \n",
      "预测涨的比实际多:  0.37 \n",
      "预测跌的比实际多:  0.25 \n",
      "预测跌的比实际少:  0.22\n"
     ]
    }
   ],
   "source": [
    "analyse_all(jsyy, \"diff_real_est\") # 原油基金中，预测性出奇的好！"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190103 99.29822206419422\n",
      "20190104 99.55141988127797\n",
      "20190107 99.91715215427388\n",
      "20190108 100.0\n",
      "20190109 97.04302618289408\n",
      "20190110 97.01306569271324\n",
      "20190111 97.42733639604523\n",
      "20190114 97.31777302131505\n",
      "20190115 96.18560083382205\n",
      "20190116 97.37304524645579\n",
      "20190117 97.42899994466062\n",
      "20190118 97.17151600200435\n",
      "20190121 96.60258546561575\n",
      "20190122 96.89622685352987\n",
      "20190123 97.48382711824088\n",
      "20190124 97.7158223583916\n",
      "20190125 97.91814704297691\n",
      "20190128 98.91134407088727\n",
      "20190129 97.56537108756571\n",
      "20190130 98.75953232487856\n",
      "20190131 97.99707843647612\n",
      "20190201 97.94145473010512\n",
      "20190211 98.06772184145757\n",
      "20190212 99.1147382314877\n",
      "20190213 98.31819463430388\n",
      "20190214 98.16233428359024\n",
      "20190215 97.9456955014084\n",
      "20190218 98.47354745038493\n",
      "20190219 97.68249289374225\n",
      "20190220 96.13891186443742\n",
      "20190221 95.6777939971009\n",
      "20190222 95.3225788116609\n",
      "20190225 97.52902887402169\n",
      "20190226 96.89526679764079\n",
      "20190227 96.63591880698213\n",
      "20190228 96.14939796309372\n",
      "20190301 96.10610153546028\n",
      "20190304 96.3429849359328\n",
      "20190305 95.12982365228417\n",
      "20190306 95.3217691072385\n",
      "20190307 94.47219739359564\n",
      "20190308 93.58853761126181\n",
      "20190311 95.49106687117538\n",
      "20190312 95.5744632070197\n",
      "20190313 95.19613699385104\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../lof/predict.py:108: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ratio = realf / estf\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190314 95.19613699385104\n",
      "20190315 95.18827485157277\n",
      "20190318 95.61157032652739\n",
      "20190319 95.22867173457877\n",
      "20190320 94.71961657964133\n",
      "20190321 94.78118433445081\n",
      "20190322 94.25725292239981\n",
      "20190325 95.40630461750901\n",
      "20190326 95.41281910498653\n",
      "20190327 95.47507865724744\n",
      "20190328 95.69359766771962\n",
      "20190329 96.7119258056437\n",
      "20190401 96.65426854958397\n",
      "20190402 97.82774113301839\n",
      "20190403 97.52144720415048\n",
      "20190404 98.74753157300331\n",
      "20190408 100.00000000000003\n",
      "20190409 99.99999999999996\n",
      "20190410 98.19327132100236\n",
      "20190411 97.63001463753244\n",
      "20190412 97.55377492417888\n",
      "20190415 97.70854685306479\n",
      "20190416 98.14385388550076\n",
      "20190417 96.50886340613107\n",
      "20190418 96.73555384199035\n",
      "20190419 95.94343687627003\n",
      "20190422 94.01396360368217\n",
      "20190423 96.97130889595313\n",
      "20190424 97.45384717956773\n",
      "20190425 97.99683903635812\n",
      "20190426 97.15247139724033\n",
      "20190429 99.7487869746339\n",
      "20190430 97.22759983873404\n",
      "20190506 97.37395800139527\n",
      "20190507 97.73376060478941\n",
      "20190508 98.55141388554233\n",
      "20190509 98.5817331205865\n",
      "20190510 97.681583993134\n",
      "20190513 98.64749371462385\n",
      "20190514 98.72956581501182\n",
      "20190515 99.17373727716145\n",
      "20190516 100.0\n",
      "20190517 97.43967945611652\n",
      "20190520 96.94338453749727\n",
      "20190521 96.84476284504541\n",
      "20190522 96.24793881263668\n",
      "20190523 97.584554731748\n",
      "20190524 96.59003648882724\n",
      "20190527 97.25867694766724\n",
      "20190528 96.909906612747\n",
      "20190529 97.21294644895089\n",
      "20190530 97.36800831849857\n",
      "20190531 95.04079963524836\n",
      "20190603 95.62076309986318\n",
      "20190604 95.86137642452107\n",
      "20190605 95.30264649377428\n",
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      "20190611 94.03894174325923\n",
      "20190612 93.49898054491793\n",
      "20190613 92.1535010700763\n",
      "20190614 93.4379103909606\n",
      "20190617 93.69353279125795\n",
      "20190618 93.26515871023017\n",
      "20190619 92.00249455347556\n",
      "20190620 92.22691878921194\n",
      "20190621 91.18789028015455\n",
      "20190624 88.43224289784386\n",
      "20190625 90.47170504024238\n",
      "20190626 89.04011830387248\n",
      "20190627 86.74948903728196\n",
      "20190628 87.58934989025475\n",
      "20190701 89.26468727046739\n",
      "20190702 87.88155886030543\n",
      "20190703 91.6912518598451\n",
      "20190704 91.67273871098428\n",
      "20190705 90.77700533906638\n",
      "20190708 90.21948814189479\n",
      "20190709 91.95485842392085\n",
      "20190710 92.95570222001206\n",
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      "20190712 94.42084541907037\n",
      "20190715 93.6135478210084\n",
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      "20190717 95.90134004210788\n",
      "20190718 96.59643875739657\n",
      "20190719 95.7998756567572\n",
      "20190722 95.01113243624813\n",
      "20190723 94.87244259108111\n",
      "20190724 94.88800299260956\n",
      "20190725 96.45767865530125\n",
      "20190726 98.21587909991936\n",
      "20190729 100.0\n",
      "20190730 99.84611571457685\n",
      "20190731 100.00000000000003\n",
      "20190801 98.76121864283179\n",
      "20190802 97.9344001354589\n",
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      "20190807 93.64315363252084\n",
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      "20190812 95.76247765454666\n",
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      "20190815 97.4956756958637\n",
      "20190816 95.45939915279043\n",
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      "20190820 95.75944205620505\n",
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      "20190827 96.72617129304749\n",
      "20190828 94.4708593380956\n",
      "20190829 91.87407686011711\n",
      "20190830 96.38957527593094\n",
      "20190902 95.81570433485635\n",
      "20190903 96.03968178951631\n",
      "20190904 94.38474039271559\n",
      "20190905 95.12296399603117\n",
      "20190906 95.17389496679598\n",
      "20190909 93.28083489082819\n",
      "20190911 91.86558928764978\n",
      "20190912 92.6290937841457\n",
      "20190916 94.75626736899683\n",
      "20190917 94.5457286159569\n",
      "20190918 94.34504636859322\n",
      "20190919 95.02985355096953\n",
      "20190920 95.56826044289417\n",
      "20190923 95.7137730914727\n",
      "20190924 95.80632959206658\n",
      "20190925 96.2080787172079\n",
      "20190926 96.23549105073639\n",
      "20190927 95.88915356164459\n",
      "20190930 95.46602755230614\n",
      "20191008 95.74600109910973\n",
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      "20191016 95.4073357508953\n",
      "20191017 97.3059561729405\n",
      "20191018 99.37117912954177\n",
      "20191021 98.28033096356008\n",
      "20191022 98.66896162246776\n",
      "20191023 96.84247656171596\n",
      "20191024 96.36121556446489\n",
      "20191025 97.0958338705519\n",
      "20191028 98.19458826458491\n",
      "20191029 97.5771792059499\n",
      "20191030 99.04291503375107\n",
      "20191031 100.0\n",
      "20191101 99.7730437665297\n",
      "20191104 97.9964276525329\n",
      "20191105 98.83490615052247\n",
      "20191106 99.02443807899579\n",
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      "20191108 97.86860796506772\n",
      "20191111 96.92633603410039\n",
      "20191112 95.1823450212678\n",
      "20191113 93.1435388648091\n",
      "20191114 94.73994280215756\n",
      "20191115 92.70576372077427\n",
      "20191118 95.08118076555392\n",
      "20191119 94.07291003989175\n",
      "20191120 94.63107063687617\n",
      "20191121 94.61049212616904\n",
      "20191122 95.74937114493505\n",
      "20191125 94.34886123334579\n",
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      "20191127 94.44703750735773\n",
      "20191128 92.60812388124386\n",
      "20191129 96.28594515404579\n",
      "20191202 94.76280667266508\n",
      "20191203 91.45402660114289\n",
      "20191204 94.85459861878124\n",
      "20191205 95.64920203121768\n",
      "20191206 96.54057302500418\n",
      "20191209 93.93163123125068\n",
      "20191210 94.5511572902784\n",
      "20191211 94.92208771181933\n",
      "20191212 94.68952345472042\n",
      "20191213 94.67389174224688\n",
      "20191216 95.1700782410705\n",
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      "20191219 94.22641800742534\n",
      "20191220 95.44218778468057\n",
      "20191223 96.16231899175959\n",
      "20191224 96.65539001971531\n",
      "20191225 97.49445414473801\n",
      "20191226 97.69367962375458\n",
      "20191227 95.00528737016681\n",
      "20191230 94.6204105963189\n",
      "20191231 93.21734056561081\n",
      "20200102 95.71367937813825\n",
      "20200103 94.71917515571782\n",
      "20200106 93.7973431529509\n",
      "20200107 92.45527814859472\n",
      "20200108 94.4102351227919\n",
      "20200109 93.24927662450345\n",
      "20200110 93.05013592864526\n",
      "20200113 92.90711569686977\n",
      "20200114 92.80757561173147\n",
      "20200115 92.77220059994936\n",
      "20200116 92.49469177957532\n",
      "20200117 92.27006145496026\n",
      "20200120 93.96748841396068\n",
      "20200121 95.11583424828166\n",
      "20200122 96.55657990107169\n",
      "20200123 97.12961761204274\n",
      "20200203 96.2359771183458\n",
      "20200204 95.0439002206545\n",
      "20200205 95.3598337304895\n",
      "20200206 94.02477209581278\n",
      "20200207 92.34799736275346\n",
      "20200210 91.13334226617478\n",
      "20200211 89.11715048591475\n",
      "20200212 90.04743341675153\n",
      "20200213 88.25984690673168\n",
      "20200214 86.5095048297471\n",
      "20200217 85.499639091913\n",
      "20200218 85.60056361265934\n",
      "20200219 84.67021178885287\n",
      "20200220 84.2716552242511\n",
      "20200221 87.76481573456985\n",
      "20200224 85.97910536286238\n",
      "20200225 86.41065489870658\n",
      "20200226 85.78068120264076\n",
      "20200227 87.06884015479594\n",
      "20200228 85.3628315650881\n",
      "20200302 85.11765894886592\n",
      "20200303 85.33101018270851\n",
      "20200304 86.28343937131608\n",
      "20200305 87.4194588190247\n"
     ]
    }
   ],
   "source": [
    "jsyy=\\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F160723\": 100}), (\"est\", holdings[\"160723\"]), float_holdings=True,\n",
    "              window=4, decay=0.65, smooth=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.09025478055273216 \n",
      "标准差偏离：  0.1357400830918445\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.403 \n",
      "5% 分位:  -0.215 \n",
      "25% 分位:  -0.078 \n",
      "50% 分位:  -0.011 \n",
      "75% 分位:  0.041 \n",
      "95% 分位:  0.183 \n",
      "99% 分位:  0.353\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.25 \n",
      "预测涨的比实际多:  0.29 \n",
      "预测跌的比实际多:  0.19 \n",
      "预测跌的比实际少:  0.27\n"
     ]
    }
   ],
   "source": [
    "analyse_all(jsyy, \"diff_real_est\") # 在本来就准的基础上，又略微改善"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 国泰商品"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "gtsp=\\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F160216\": 100}), (\"est\", holdings[\"160216\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.09892164040568546 \n",
      "标准差偏离：  0.13543481510543717\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.345 \n",
      "5% 分位:  -0.191 \n",
      "25% 分位:  -0.089 \n",
      "50% 分位:  -0.012 \n",
      "75% 分位:  0.061 \n",
      "95% 分位:  0.175 \n",
      "99% 分位:  0.382\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.24 \n",
      "预测涨的比实际多:  0.34 \n",
      "预测跌的比实际多:  0.21 \n",
      "预测跌的比实际少:  0.21\n"
     ]
    }
   ],
   "source": [
    "analyse_all(gtsp, \"diff_real_est\") # 可预测性也极好"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190103 80.2702944117856\n",
      "20190104 79.83495975133566\n",
      "20190107 79.22576396208636\n",
      "20190108 78.47724534301975\n",
      "20190109 78.74360294698806\n",
      "20190110 78.74360294698808\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../lof/predict.py:108: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ratio = realf / estf\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "20191101 79.93258892522122\n",
      "20191104 80.30602048708603\n",
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      "20200103 84.19920473182287\n",
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      "20200210 77.87679753549111\n",
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      "20200219 80.06978760866834\n",
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      "20200221 79.31350597920746\n",
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      "20200302 77.59581129448863\n",
      "20200303 77.82259313878247\n",
      "20200304 77.20900230953139\n",
      "20200305 77.00213275551326\n"
     ]
    }
   ],
   "source": [
    "gtsp=\\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F160216\": 100}), (\"est\", holdings[\"160216\"]), \n",
    "               float_holdings=True, window=4, decay=0.65, smooth=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.10633261782727876 \n",
      "标准差偏离：  0.14924600716283906\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.366 \n",
      "5% 分位:  -0.216 \n",
      "25% 分位:  -0.085 \n",
      "50% 分位:  -0.02 \n",
      "75% 分位:  0.069 \n",
      "95% 分位:  0.21 \n",
      "99% 分位:  0.442\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.23 \n",
      "预测涨的比实际多:  0.35 \n",
      "预测跌的比实际多:  0.19 \n",
      "预测跌的比实际少:  0.23\n"
     ]
    }
   ],
   "source": [
    "analyse_all(gtsp, \"diff_real_est\") # 略微变差，几乎持平"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 广发道琼斯石油"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "gfdqs=\\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F162719\": 100}), (\"est\", holdings[\"162719\"]),\n",
    "              (\"est_bc\", {\"954528\": 95}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.0611781800347652 \n",
      "标准差偏离：  0.09176119165721837\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.315 \n",
      "5% 分位:  -0.135 \n",
      "25% 分位:  -0.044 \n",
      "50% 分位:  -0.003 \n",
      "75% 分位:  0.038 \n",
      "95% 分位:  0.122 \n",
      "99% 分位:  0.231\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.3 \n",
      "预测涨的比实际多:  0.2 \n",
      "预测跌的比实际多:  0.18 \n",
      "预测跌的比实际少:  0.31\n"
     ]
    }
   ],
   "source": [
    "analyse_all(gfdqs, \"diff_real_est\") #跟踪不错"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.08768082694014524 \n",
      "标准差偏离：  0.13186120013259217\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.305 \n",
      "5% 分位:  -0.224 \n",
      "25% 分位:  -0.051 \n",
      "50% 分位:  -0.006 \n",
      "75% 分位:  0.058 \n",
      "95% 分位:  0.186 \n",
      "99% 分位:  0.397\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.11 \n",
      "预测涨的比实际多:  0.4 \n",
      "预测跌的比实际多:  0.36 \n",
      "预测跌的比实际少:  0.13\n"
     ]
    }
   ],
   "source": [
    "analyse_all(gfdqs, \"diff_real_est_bc\") #还是实际持仓预测更稳定"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190103 88.91600918473242\n",
      "20190104 89.10591367122217\n",
      "20190107 89.39180478855486\n",
      "20190108 89.84499077145038\n",
      "20190109 89.99938079562716\n",
      "20190110 89.1623409970855\n",
      "20190111 88.75216784917028\n",
      "20190114 88.20007600624996\n",
      "20190115 86.789746987543\n",
      "20190116 90.2418729185157\n",
      "20190117 90.60441265288051\n",
      "20190118 90.36783466611232\n",
      "20190122 91.39648283317071\n",
      "20190123 90.67407102999461\n",
      "20190124 91.04481522165392\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../lof/predict.py:108: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ratio = realf / estf\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190125 91.03140681188775\n",
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      "20200214 88.57739438284605\n",
      "20200217 87.11146130268466\n",
      "20200218 87.18061838827916\n",
      "20200219 89.97892017150454\n",
      "20200220 91.53454692672123\n",
      "20200221 90.2704073717158\n",
      "20200224 91.25763638944586\n",
      "20200225 93.45787928113134\n",
      "20200226 91.81971335066996\n",
      "20200227 91.95321355764929\n",
      "20200228 92.29377732340454\n",
      "20200302 92.48341583791715\n",
      "20200303 92.31435120318643\n",
      "20200304 91.81523098055037\n",
      "20200305 92.56189553445614\n"
     ]
    }
   ],
   "source": [
    "gfdqs=\\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F162719\": 100}), (\"est\", holdings[\"162719\"]),\n",
    "              float_holdings=True, window=4, decay=0.65, smooth=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.06163217662538718 \n",
      "标准差偏离：  0.09118138464047547\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.243 \n",
      "5% 分位:  -0.129 \n",
      "25% 分位:  -0.042 \n",
      "50% 分位:  -0.0 \n",
      "75% 分位:  0.036 \n",
      "95% 分位:  0.139 \n",
      "99% 分位:  0.262\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.25 \n",
      "预测涨的比实际多:  0.25 \n",
      "预测跌的比实际多:  0.24 \n",
      "预测跌的比实际少:  0.25\n"
     ]
    }
   ],
   "source": [
    "analyse_all(gfdqs, \"diff_real_est\") #  好多了"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 华安德国"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "warning: this fund has no data for rate\n"
     ]
    }
   ],
   "source": [
    "dax = \\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F513030\": 100}), (\"est\", holdings[\"513030\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.041622922621231295 \n",
      "标准差偏离：  0.052359059264518816\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.144 \n",
      "5% 分位:  -0.094 \n",
      "25% 分位:  -0.039 \n",
      "50% 分位:  -0.009 \n",
      "75% 分位:  0.028 \n",
      "95% 分位:  0.076 \n",
      "99% 分位:  0.117\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.34 \n",
      "预测涨的比实际多:  0.22 \n",
      "预测跌的比实际多:  0.09 \n",
      "预测跌的比实际少:  0.36\n"
     ]
    }
   ],
   "source": [
    "analyse_all(dax, \"diff_real_est\") ## 精度也算逆天"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "warning: this fund has no data for rate\n",
      "20190103 94.78009282166988\n",
      "20190104 94.77859353435717\n",
      "20190107 95.48728734367326\n",
      "20190108 96.084298394594\n",
      "20190109 96.84278698858081\n",
      "20190110 98.02883134656308\n",
      "20190111 96.02064481323588\n",
      "20190114 95.56067965358507\n",
      "20190115 96.94461095834129\n",
      "20190116 97.93568747908293\n",
      "20190117 98.74830105252403\n",
      "20190118 99.99999999999999\n",
      "20190121 100.00000000000001\n",
      "20190122 99.25520602010282\n",
      "20190123 98.73132983442622\n",
      "20190124 99.73164289331211\n",
      "20190125 99.12014703094799\n",
      "20190128 100.0\n",
      "20190129 98.71870959891163\n",
      "20190130 99.52890964478524\n",
      "20190131 100.0\n",
      "20190201 100.0\n",
      "20190211 98.30647204233175\n",
      "20190212 100.0\n",
      "20190213 98.72454801419771\n",
      "20190214 98.82092282185205\n",
      "20190215 98.15301855832794\n",
      "20190218 98.15301855832791\n",
      "20190219 97.45060380952742\n",
      "20190220 97.9621628773251\n",
      "20190221 98.59695113126624\n",
      "20190222 97.63908298554\n",
      "20190225 97.43449712852494\n",
      "20190226"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../lof/predict.py:108: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ratio = realf / estf\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 97.61444132671564\n",
      "20190227 95.55117793146698\n",
      "20190228 97.81686830716028\n",
      "20190301 96.22838535384197\n",
      "20190304 95.72622149925418\n",
      "20190305 94.49782930223165\n",
      "20190306 96.53710522409419\n",
      "20190307 96.99365467700743\n",
      "20190308 95.08092605744481\n",
      "20190311 96.9464084770509\n",
      "20190312 96.94640847705092\n",
      "20190313 97.75713782571884\n",
      "20190314 96.77678180012111\n",
      "20190315 96.23683986280824\n",
      "20190318 96.16314053264566\n",
      "20190319 95.7980434260631\n",
      "20190320 96.1256476787763\n",
      "20190321 96.18723713026354\n",
      "20190322 97.00970798049883\n",
      "20190325 97.20544406038857\n",
      "20190326 97.3645937215426\n",
      "20190327 96.92755410946017\n",
      "20190328 96.9275541094602\n",
      "20190329 97.62900351730342\n",
      "20190401 97.2347286786578\n",
      "20190402 96.42409778601245\n",
      "20190403 96.88954221601738\n",
      "20190404 95.58475225028378\n",
      "20190408 95.23491426861764\n",
      "20190409 96.87464209449004\n",
      "20190410 96.38905700412252\n",
      "20190411 96.97890657841288\n",
      "20190412 94.94709334833033\n",
      "20190415 95.72652412908437\n",
      "20190416 96.89188161976895\n",
      "20190417 96.46007981274032\n",
      "20190418 96.17123061573854\n",
      "20190419 95.82234314320978\n",
      "20190423 96.42530807111596\n",
      "20190424 94.52559089757902\n",
      "20190425 96.14081938767062\n",
      "20190426 97.01273705636288\n",
      "20190429 95.49506978157983\n",
      "20190430 94.88345726628387\n",
      "20190506 95.60284047886027\n",
      "20190507 93.74273005395062\n",
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      "20190611 99.99999999999999\n",
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      "20190724 97.5147679600899\n",
      "20190725 100.00000000000001\n",
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      "20190731 97.95777809762602\n",
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      "20190805 99.40802877026103\n",
      "20190806 100.00000000000001\n",
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      "20190822 97.6673356924443\n",
      "20190823 97.87892887793656\n",
      "20190826 97.59922343199653\n",
      "20190827 97.56818822525014\n",
      "20190828 96.76578478548782\n",
      "20190829 97.31078004297198\n",
      "20190830 98.33899649651026\n",
      "20190902 98.1764783187476\n",
      "20190903 97.08107610004548\n",
      "20190904 96.87804734998274\n",
      "20190905 97.52274661532353\n",
      "20190906 97.72466349943717\n",
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      "20190911 97.38079209936629\n",
      "20190912 97.67816685395242\n",
      "20190916 98.49713814255246\n",
      "20190917 99.09371035756645\n",
      "20190918 100.00000000000001\n",
      "20190919 100.0\n",
      "20190920 97.42774397842598\n",
      "20190923 98.1366210035222\n",
      "20190924 97.78510887626724\n",
      "20190925 97.8986319502209\n",
      "20190926 97.80354895298906\n",
      "20190927 97.4312182434616\n",
      "20190930 96.0508757356511\n",
      "20191008 95.82845571578265\n",
      "20191009 97.27031399811861\n",
      "20191010 95.80139869793611\n",
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      "20191014 97.39914609270993\n",
      "20191015 97.84854065621168\n",
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      "20191018 98.37291184593006\n",
      "20191021 98.25836789656437\n",
      "20191023 99.17162692349322\n",
      "20191024 100.0\n",
      "20191025 98.20076273600039\n",
      "20191028 99.62136074505635\n",
      "20191029 100.0\n",
      "20191030 100.0\n",
      "20191031 97.7558805867726\n",
      "20191101 99.2927745077816\n",
      "20191104 97.50543514495799\n",
      "20191105 100.0\n",
      "20191106 96.69669686243236\n",
      "20191107 97.08510940364464\n",
      "20191108 96.62622205227818\n",
      "20191111 98.18918658488974\n",
      "20191112 97.41599456184576\n",
      "20191113 98.01720995591468\n",
      "20191114 98.62335810929515\n",
      "20191115 98.48910837075441\n",
      "20191118 99.43873061785857\n",
      "20191119 100.00000000000001\n",
      "20191120 100.0\n",
      "20191121 99.99999999999997\n",
      "20191122 100.0\n",
      "20191125 99.0588574187791\n",
      "20191126 99.05881445972238\n",
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      "20191128 99.99946376943188\n",
      "20191202 100.0\n",
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      "20191204 98.76421693887414\n",
      "20191205 99.23460304182362\n",
      "20191206 99.54458599736638\n",
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      "20191210 99.62315244277823\n",
      "20191211 99.3841362313074\n",
      "20191212 98.92256309074216\n",
      "20191213 97.90537946707694\n",
      "20191216 97.90537946707697\n",
      "20191217 99.2257224282727\n",
      "20191218 98.79775313581116\n",
      "20191219 99.24196356204646\n",
      "20191220 98.9515931660646\n",
      "20191223 99.57637017021028\n",
      "20191224 100.0\n",
      "20191225 100.0\n",
      "20191226 100.0\n",
      "20191227 100.0\n",
      "20191230 100.0\n",
      "20191231 97.90631297989685\n",
      "20200102 98.91706688015068\n",
      "20200103 100.0\n",
      "20200106 96.97382110844018\n",
      "20200107 97.20802025510278\n",
      "20200109 98.169547143952\n",
      "20200110 98.95559969206595\n",
      "20200113 97.99768146972252\n",
      "20200114 98.72622708497684\n",
      "20200115 99.2099079004798\n",
      "20200116 98.19184315828225\n",
      "20200117 98.08960230417706\n",
      "20200120 100.0\n",
      "20200121 99.99999999999997\n",
      "20200122 100.0\n",
      "20200123 98.18746275388047\n",
      "20200203 100.00000000000001\n",
      "20200204 100.0\n",
      "20200205 97.56785869079555\n",
      "20200206 97.08449256147311\n",
      "20200207 97.63128860142466\n",
      "20200210 97.69459177344295\n",
      "20200211 96.74728047336077\n",
      "20200212 97.92858256775992\n",
      "20200213 98.21629862935094\n",
      "20200214 98.48035465657686\n",
      "20200217 97.85603392810339\n",
      "20200218 98.24191984942075\n",
      "20200219 98.50439477638129\n",
      "20200220 96.71011423502081\n",
      "20200221 98.31466749743984\n",
      "20200224 99.01661692886306\n",
      "20200225 98.82089530177683\n",
      "20200226 98.82089530177686\n",
      "20200227 97.81369460736299\n",
      "20200228 98.70494922555493\n",
      "20200302 99.55684722987077\n",
      "20200303 99.69041916536989\n",
      "20200304 99.99999999999999\n",
      "20200305 100.00000000000001\n"
     ]
    }
   ],
   "source": [
    "dax = \\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F513030\": 100}), (\"est\", holdings[\"513030\"]), \n",
    "               float_holdings=True, window=4, decay=0.65, smooth=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.03750258301849859 \n",
      "标准差偏离：  0.0454188130802292\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.104 \n",
      "5% 分位:  -0.081 \n",
      "25% 分位:  -0.04 \n",
      "50% 分位:  -0.011 \n",
      "75% 分位:  0.027 \n",
      "95% 分位:  0.063 \n",
      "99% 分位:  0.085\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.25 \n",
      "预测涨的比实际多:  0.3 \n",
      "预测跌的比实际多:  0.17 \n",
      "预测跌的比实际少:  0.28\n"
     ]
    }
   ],
   "source": [
    "analyse_all(dax, \"diff_real_est\") # 在本来就准的基础上，进一步改善"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "warning: this fund has no data for rate\n"
     ]
    }
   ],
   "source": [
    "dax = \\\n",
    "estimate_table_with_pos(\"20190101\", \"20200305\", (\"real\", {\"F513030\": 100}), (\"est\", holdings[\"513030\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.040043320409176374 \n",
      "标准差偏离：  0.05096457858857964\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.122 \n",
      "5% 分位:  -0.092 \n",
      "25% 分位:  -0.039 \n",
      "50% 分位:  -0.012 \n",
      "75% 分位:  0.027 \n",
      "95% 分位:  0.068 \n",
      "99% 分位:  0.094\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.29 \n",
      "预测涨的比实际多:  0.27 \n",
      "预测跌的比实际多:  0.13 \n",
      "预测跌的比实际少:  0.31\n"
     ]
    }
   ],
   "source": [
    "analyse_all(dax, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11eae6080>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dax.plot(x=\"date\", y=\"estpos\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 国泰纳斯达克"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "gt = estimate_table(\"20190301\", \"20200310\", (\"real\", {\"F513100\": 100}), (\"est\", {\"20\": 99}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.02232150761113922 \n",
      "标准差偏离：  0.03331837141011317\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.136 \n",
      "5% 分位:  -0.046 \n",
      "25% 分位:  -0.016 \n",
      "50% 分位:  -0.001 \n",
      "75% 分位:  0.016 \n",
      "95% 分位:  0.04 \n",
      "99% 分位:  0.062\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.32 \n",
      "预测涨的比实际多:  0.27 \n",
      "预测跌的比实际多:  0.17 \n",
      "预测跌的比实际少:  0.24\n"
     ]
    }
   ],
   "source": [
    "analyse_all(gt, \"diff_real_est\") ##sota 0.025 0.035 98"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 博时标普"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "warning: this fund has no data for rate\n"
     ]
    }
   ],
   "source": [
    "sp500 = \\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F513500\": 100}), (\"est\", holdings[\"513500\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.04710265681733935 \n",
      "标准差偏离：  0.06961432146964162\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.189 \n",
      "5% 分位:  -0.119 \n",
      "25% 分位:  -0.019 \n",
      "50% 分位:  0.01 \n",
      "75% 分位:  0.044 \n",
      "95% 分位:  0.094 \n",
      "99% 分位:  0.197\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.52 \n",
      "预测涨的比实际多:  0.07 \n",
      "预测跌的比实际多:  0.07 \n",
      "预测跌的比实际少:  0.35\n"
     ]
    }
   ],
   "source": [
    "analyse_all(sp500, \"diff_real_est\") # 仓位设定有问题，导致预测总是实际少"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "sp500 = \\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F513500\": 100}), (\"est\", {\"166\": 99.5}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.017746793204680103 \n",
      "标准差偏离：  0.040475675508421405\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.123 \n",
      "5% 分位:  -0.026 \n",
      "25% 分位:  -0.005 \n",
      "50% 分位:  0.002 \n",
      "75% 分位:  0.011 \n",
      "95% 分位:  0.033 \n",
      "99% 分位:  0.116\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.38 \n",
      "预测涨的比实际多:  0.21 \n",
      "预测跌的比实际多:  0.2 \n",
      "预测跌的比实际少:  0.21\n"
     ]
    }
   ],
   "source": [
    "analyse_all(sp500, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 纳斯达克"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "nsdq = \\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F161130\": 100}), (\"est\", {\"20\": 94}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.12216182410912323 \n",
      "标准差偏离：  0.1833932579608965\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.522 \n",
      "5% 分位:  -0.301 \n",
      "25% 分位:  -0.073 \n",
      "50% 分位:  0.002 \n",
      "75% 分位:  0.086 \n",
      "95% 分位:  0.243 \n",
      "99% 分位:  0.599\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.36 \n",
      "预测涨的比实际多:  0.24 \n",
      "预测跌的比实际多:  0.16 \n",
      "预测跌的比实际少:  0.25\n"
     ]
    }
   ],
   "source": [
    "analyse_all(nsdq, \"diff_real_est\") # 跟踪的很一般"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190111 94.98915406894054\n",
      "20190114 96.18608890311174\n",
      "20190123 94.94949306632245\n",
      "20190214 96.1975188414544\n",
      "20190219 97.75149945255046\n",
      "20190220 98.30207512761253\n",
      "20190221 98.69959941828886\n",
      "20190225 96.81241407707077\n",
      "20190228 95.67668864004108\n",
      "20190318 94.29177804471698\n",
      "20190528 95.43999862226586\n",
      "20190529 96.63121411967879\n",
      "20190530 97.76632699876653\n",
      "20190531 98.64625233615371\n",
      "20190619 97.12878286893026\n",
      "20190705 95.4811363698285\n",
      "20190708 94.32921056786233\n",
      "20190709 93.30115834909205\n",
      "20190710 92.3482717770836\n",
      "20190711 93.48083076088028\n",
      "20190730 94.51678844585928\n",
      "20190816 95.5504028193633\n",
      "20190830 96.63244544044227\n",
      "20191111 97.48645432229227\n",
      "20191120 95.66089703264777\n",
      "20191121 93.27526312650791\n",
      "20191122 91.87241207960061\n",
      "20191127 93.11839958565166\n",
      "20191128 94.50536520402375\n",
      "20191129 95.91147884041469\n",
      "20191227 94.75852521267205\n",
      "20191230 93.90114316430976\n",
      "20191231 92.80383861833349\n",
      "20200102 91.99205840992055\n",
      "20200113 93.52936836733129\n",
      "20200121 94.94180228458376\n",
      "20200122 95.93597723699204\n",
      "20200123 96.98619116621487\n",
      "20200203 98.57885257476376\n",
      "20200204 99.5066540094461\n",
      "20200205 100.0\n",
      "20200207 98.6085249834941\n",
      "20200210 96.98733298425819\n",
      "20200211 94.35890684912344\n",
      "20200212 92.51632750637836\n",
      "20200213 90.94041114511042\n",
      "20200214 88.92634498871585\n",
      "20200218 87.55549093681263\n",
      "20200219 86.53506818214238\n",
      "20200224 88.63790765153645\n",
      "20200225 91.15118876541946\n",
      "20200227 92.21369570502361\n",
      "20200305 93.27145154353816\n"
     ]
    }
   ],
   "source": [
    "nsdq = \\\n",
    "estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F161130\": 100}), (\"est\", {\"20\": 94}), float_holdings=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.028541250402246907 \n",
      "标准差偏离：  0.058683335315467273\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.211 \n",
      "5% 分位:  -0.087 \n",
      "25% 分位:  -0.014 \n",
      "50% 分位:  -0.004 \n",
      "75% 分位:  0.009 \n",
      "95% 分位:  0.055 \n",
      "99% 分位:  0.127\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.23 \n",
      "预测涨的比实际多:  0.37 \n",
      "预测跌的比实际多:  0.16 \n",
      "预测跌的比实际少:  0.24\n"
     ]
    }
   ],
   "source": [
    "analyse_all(nsdq, \"diff_real_est\") ## 考虑仓位调节后，跟踪效果明显加强！！！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 日经225"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "rj = estimate_table(\"20191001\", \"20200305\", (\"real\", {\"F513880\": 100}), (\"est\", {\"178\": 95}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.06843507292208129 \n",
      "标准差偏离：  0.10318900780357843\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.312 \n",
      "5% 分位:  -0.161 \n",
      "25% 分位:  -0.052 \n",
      "50% 分位:  -0.002 \n",
      "75% 分位:  0.037 \n",
      "95% 分位:  0.129 \n",
      "99% 分位:  0.329\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.28 \n",
      "预测涨的比实际多:  0.24 \n",
      "预测跌的比实际多:  0.21 \n",
      "预测跌的比实际少:  0.27\n"
     ]
    }
   ],
   "source": [
    "analyse_all(rj, \"diff_real_est\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "warning: this fund has no data for rate\n",
      "20191009 96.19034492306771\n",
      "20191015 95.15794452830187\n",
      "20191023 96.23357657135672\n",
      "20191024 94.80183359605346\n",
      "20191025 92.98009826635071\n",
      "20191028 91.40047248386391\n",
      "20191104 91.70338822259805\n",
      "20191105 92.7274733259754\n",
      "20191106 95.73506377472368\n",
      "20191112 94.575907008482\n",
      "20191122 91.47366194430906\n",
      "20191125 89.50988330484543\n",
      "20191128 91.92576397505816\n",
      "20191203 92.6450548611614\n",
      "20191205 93.85054364222272\n",
      "20191206 95.9948744769812\n",
      "20191211 97.34371580286457\n",
      "20191212 99.08426593617219\n",
      "20191213 100.0\n",
      "20191216 100.0\n",
      "20191218 98.23294822910302\n",
      "20191219 96.84840584847062\n",
      "20200106 98.6814957750291\n",
      "20200107 99.99894362852034\n",
      "20200110 97.54109915292014\n",
      "20200113 96.13031552214173\n",
      "20200115 96.91828338975952\n",
      "20200116 97.69304602000149\n",
      "20200122 98.36412010674104\n",
      "20200123 99.02219811688835\n",
      "20200204 96.86275714501069\n",
      "20200205 96.18319493470636\n",
      "20200207 96.92614378846483\n",
      "20200212 96.10176675892353\n",
      "20200213 96.54561333099599\n",
      "20200214 96.85080241275031\n",
      "20200218 97.44347834076076\n",
      "20200219 96.01104431565676\n",
      "20200302 97.07505224553589\n"
     ]
    }
   ],
   "source": [
    "rj = estimate_table(\"20191001\", \"20200305\", (\"real\", {\"F513880\": 100}), (\"est\", {\"178\": 95}), float_holdings=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.07166306068302974 \n",
      "标准差偏离：  0.10592680450275156\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.31 \n",
      "5% 分位:  -0.17 \n",
      "25% 分位:  -0.051 \n",
      "50% 分位:  0.0 \n",
      "75% 分位:  0.038 \n",
      "95% 分位:  0.146 \n",
      "99% 分位:  0.33\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.28 \n",
      "预测涨的比实际多:  0.24 \n",
      "预测跌的比实际多:  0.22 \n",
      "预测跌的比实际少:  0.26\n"
     ]
    }
   ],
   "source": [
    "analyse_all(rj, \"diff_real_est\")  #  几乎持平"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 中国互联"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "zghl = estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F164906\": 100}), (\"est\",  {\"954018\": 95}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.1386085271800198 \n",
      "标准差偏离：  0.7894710041910674\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.327 \n",
      "5% 分位:  -0.146 \n",
      "25% 分位:  -0.054 \n",
      "50% 分位:  0.007 \n",
      "75% 分位:  0.06 \n",
      "95% 分位:  0.162 \n",
      "99% 分位:  0.274\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.31 \n",
      "预测涨的比实际多:  0.23 \n",
      "预测跌的比实际多:  0.22 \n",
      "预测跌的比实际少:  0.24\n"
     ]
    }
   ],
   "source": [
    "analyse_all(zghl, \"diff_real_est\") # 貌似就是这个指数，但是不太准=="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190103 94.84754425577417\n",
      "20190104 94.67983249363367\n",
      "20190107 94.46259787435622\n",
      "20190108 94.46259787435623\n",
      "20190109 94.13354068565776\n",
      "20190110 94.36642591768546\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../lof/predict.py:108: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ratio = realf / estf\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190111 94.49147061954886\n",
      "20190114 94.43346170513458\n",
      "20190115 94.27916358446538\n",
      "20190116 94.68314956298144\n",
      "20190117 94.32139439695084\n",
      "20190118 94.16376316019192\n",
      "20190121 94.36988883177338\n",
      "20190122 94.47504929030637\n",
      "20190123 95.69500017859473\n",
      "20190124 96.33377286569768\n",
      "20190125 95.77119626476872\n",
      "20190128 96.1943401664517\n",
      "20190129 97.18363260369748\n",
      "20190130 96.843732981561\n",
      "20190131 97.21686384364345\n",
      "20190201 97.39964711079051\n",
      "20190211 96.52547279870105\n",
      "20190212 96.00833936817388\n",
      "20190213 96.00833936817385\n",
      "20190214 95.5543665466728\n",
      "20190215 96.19384781379462\n",
      "20190218 96.50962244694742\n",
      "20190219 96.61182296429517\n",
      "20190220 96.03360501869197\n",
      "20190221 96.05645498220845\n",
      "20190222 95.994210994571\n",
      "20190225 95.07402763683615\n",
      "20190226 95.55019133335887\n",
      "20190227 96.39992738337689\n",
      "20190228 96.39992738337686\n",
      "20190301 97.53340693614994\n",
      "20190304 99.45632134144516\n",
      "20190305 100.0\n",
      "20190306 98.89287144488618\n",
      "20190307 98.1740385819862\n",
      "20190308 98.19902942907048\n",
      "20190311 97.95468811750216\n",
      "20190312 97.94782817701412\n",
      "20190313 97.70646648379014\n",
      "20190314 98.43186313021552\n",
      "20190315 98.55805266962257\n",
      "20190318 97.99996880131931\n",
      "20190319 97.7432406167195\n",
      "20190320 98.77285217952438\n",
      "20190321 99.31665688797463\n",
      "20190322 99.42529879922218\n",
      "20190325 99.14103754924527\n",
      "20190326 100.00000000000001\n",
      "20190327 98.31431528906835\n",
      "20190328 98.24301378945742\n",
      "20190329 97.83063334005878\n",
      "20190401 97.3718863745563\n",
      "20190402 98.01971760471659\n",
      "20190403 97.96835700947709\n",
      "20190404 97.17783924874571\n",
      "20190408 97.56264545816497\n",
      "20190409 96.65287579963467\n",
      "20190410 96.19777225932644\n",
      "20190411 97.28204608735467\n",
      "20190412 98.31453435286353\n",
      "20190415 96.56067896301957\n",
      "20190416 97.57492259224465\n",
      "20190417 97.45915964360728\n",
      "20190418 97.96728727124504\n",
      "20190419 97.99811940847259\n",
      "20190422 97.99811940847256\n",
      "20190423 99.3410650449284\n",
      "20190424 100.00000000000001\n",
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      "20200220 99.62610682924152\n",
      "20200221 100.0\n",
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      "20200225 99.2816893249074\n",
      "20200226 97.25082447333125\n",
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      "20200228 96.28196790517794\n",
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      "20200304 97.40280856916091\n",
      "20200305 97.29953483072296\n"
     ]
    }
   ],
   "source": [
    "zghl = estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F164906\": 100}), (\"est\",  {\"954018\": 95}),\n",
    "                      float_holdings=True, window=4, decay=0.65, smooth=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.134815673182512 \n",
      "标准差偏离：  0.7368848108187612\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.313 \n",
      "5% 分位:  -0.158 \n",
      "25% 分位:  -0.045 \n",
      "50% 分位:  0.007 \n",
      "75% 分位:  0.06 \n",
      "95% 分位:  0.163 \n",
      "99% 分位:  0.283\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.31 \n",
      "预测涨的比实际多:  0.23 \n",
      "预测跌的比实际多:  0.22 \n",
      "预测跌的比实际少:  0.24\n"
     ]
    }
   ],
   "source": [
    "analyse_all(zghl, \"diff_real_est\") # 几乎一致，稍有一丝丝改善"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 鹏华互联"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "from lof.holdings import holdings_160644_19hy, holdings_160644_19s4\n",
    "from lof.utils import scale_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cutoff(hdict, threhold=1):\n",
    "    d = {}\n",
    "    aim = 0\n",
    "    for k, v in hdict.items():\n",
    "        if v>threhold:\n",
    "            d[k] = v\n",
    "        aim += v\n",
    "    return scale_dict(d.copy(), aim=aim)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "d=cutoff(holdings_160644_19hy, threhold=2.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "hl = estimate_table(\"20200101\", \"20200325\", (\"real\", {\"F160644\": 100}), (\"est\", d))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.4123143196570495 \n",
      "标准差偏离：  0.553320687236681\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -1.143 \n",
      "5% 分位:  -0.896 \n",
      "25% 分位:  -0.105 \n",
      "50% 分位:  0.106 \n",
      "75% 分位:  0.327 \n",
      "95% 分位:  1.062 \n",
      "99% 分位:  1.248\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.4 \n",
      "预测涨的比实际多:  0.11 \n",
      "预测跌的比实际多:  0.28 \n",
      "预测跌的比实际少:  0.21\n"
     ]
    }
   ],
   "source": [
    "analyse_all(hl, \"diff_real_est\") ## full 190101 200305 0.31 0.429"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/shixin/Documents/newwork/quant finance/xalpha/xalpha/universal.py:146: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[k] = df[k].apply(_float)\n"
     ]
    }
   ],
   "source": [
    "hl = estimate_table(\"20200101\", \"20200325\", (\"real\", {\"F160644\": 100}), (\"est\", holdings_160644_19s4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.46212656420615356 \n",
      "标准差偏离：  0.61200792219348\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -1.432 \n",
      "5% 分位:  -0.797 \n",
      "25% 分位:  -0.282 \n",
      "50% 分位:  0.046 \n",
      "75% 分位:  0.42 \n",
      "95% 分位:  1.018 \n",
      "99% 分位:  1.482\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.32 \n",
      "预测涨的比实际多:  0.19 \n",
      "预测跌的比实际多:  0.23 \n",
      "预测跌的比实际少:  0.26\n"
     ]
    }
   ],
   "source": [
    "analyse_all(hl, \"diff_real_est\") ## 预测效果拙计"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "hl = estimate_table_with_pos(\"20200101\", \"20200325\", (\"real\", {\"F160644\": 100}), (\"est\", holdings_160644_19s4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>real</th>\n",
       "      <th>est</th>\n",
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       "      <th>estposld</th>\n",
       "      <th>diff_real_est</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-03</td>\n",
       "      <td>-0.490913</td>\n",
       "      <td>-0.437436</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>-0.053477</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-06</td>\n",
       "      <td>0.409363</td>\n",
       "      <td>0.463410</td>\n",
       "      <td>0.958486</td>\n",
       "      <td>0.982353</td>\n",
       "      <td>-0.054047</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-01-07</td>\n",
       "      <td>0.710851</td>\n",
       "      <td>0.724081</td>\n",
       "      <td>0.950877</td>\n",
       "      <td>0.912900</td>\n",
       "      <td>-0.013230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-01-08</td>\n",
       "      <td>-0.539755</td>\n",
       "      <td>-0.903040</td>\n",
       "      <td>0.946768</td>\n",
       "      <td>0.933502</td>\n",
       "      <td>0.363285</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-09</td>\n",
       "      <td>2.003757</td>\n",
       "      <td>1.670934</td>\n",
       "      <td>0.850957</td>\n",
       "      <td>0.650991</td>\n",
       "      <td>0.332823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2020-01-10</td>\n",
       "      <td>0.296706</td>\n",
       "      <td>0.666257</td>\n",
       "      <td>0.858318</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.369552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2020-01-13</td>\n",
       "      <td>1.978986</td>\n",
       "      <td>1.623447</td>\n",
       "      <td>0.811265</td>\n",
       "      <td>0.825773</td>\n",
       "      <td>0.355539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2020-01-14</td>\n",
       "      <td>-1.510453</td>\n",
       "      <td>-1.376872</td>\n",
       "      <td>0.939974</td>\n",
       "      <td>0.988934</td>\n",
       "      <td>-0.133581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2020-01-15</td>\n",
       "      <td>0.375787</td>\n",
       "      <td>1.022930</td>\n",
       "      <td>0.924968</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.647143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2020-01-16</td>\n",
       "      <td>0.637458</td>\n",
       "      <td>0.740169</td>\n",
       "      <td>0.936513</td>\n",
       "      <td>0.775245</td>\n",
       "      <td>-0.102711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2020-01-17</td>\n",
       "      <td>1.588578</td>\n",
       "      <td>1.295950</td>\n",
       "      <td>0.875570</td>\n",
       "      <td>0.806556</td>\n",
       "      <td>0.292628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2020-01-20</td>\n",
       "      <td>-0.504751</td>\n",
       "      <td>-0.618700</td>\n",
       "      <td>0.844463</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.113950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2020-01-21</td>\n",
       "      <td>-2.317716</td>\n",
       "      <td>-2.038051</td>\n",
       "      <td>0.865450</td>\n",
       "      <td>0.789285</td>\n",
       "      <td>-0.279665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>2.036660</td>\n",
       "      <td>1.043652</td>\n",
       "      <td>0.926771</td>\n",
       "      <td>0.984209</td>\n",
       "      <td>0.993008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2020-01-23</td>\n",
       "      <td>-1.906188</td>\n",
       "      <td>-1.640071</td>\n",
       "      <td>0.908464</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.266117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2020-02-03</td>\n",
       "      <td>-2.085665</td>\n",
       "      <td>-2.137443</td>\n",
       "      <td>0.993528</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.051778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2020-02-04</td>\n",
       "      <td>4.280964</td>\n",
       "      <td>4.281700</td>\n",
       "      <td>0.991990</td>\n",
       "      <td>0.969460</td>\n",
       "      <td>-0.000735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2020-02-05</td>\n",
       "      <td>-0.338780</td>\n",
       "      <td>-0.292782</td>\n",
       "      <td>0.987841</td>\n",
       "      <td>0.991819</td>\n",
       "      <td>-0.045998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2020-02-06</td>\n",
       "      <td>1.949610</td>\n",
       "      <td>1.596505</td>\n",
       "      <td>0.983586</td>\n",
       "      <td>0.995367</td>\n",
       "      <td>0.353105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2020-02-07</td>\n",
       "      <td>0.245170</td>\n",
       "      <td>0.178653</td>\n",
       "      <td>0.995128</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.066517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2020-02-10</td>\n",
       "      <td>0.821757</td>\n",
       "      <td>-0.197446</td>\n",
       "      <td>0.998101</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.019203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2020-02-11</td>\n",
       "      <td>-0.349311</td>\n",
       "      <td>0.486369</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.835680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>0.817916</td>\n",
       "      <td>1.643115</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.825199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2020-02-13</td>\n",
       "      <td>0.347692</td>\n",
       "      <td>-0.482726</td>\n",
       "      <td>0.910295</td>\n",
       "      <td>0.657998</td>\n",
       "      <td>0.830417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2020-02-14</td>\n",
       "      <td>0.163619</td>\n",
       "      <td>0.209932</td>\n",
       "      <td>0.798163</td>\n",
       "      <td>0.657998</td>\n",
       "      <td>-0.046313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2020-02-17</td>\n",
       "      <td>0.884020</td>\n",
       "      <td>0.126587</td>\n",
       "      <td>0.655037</td>\n",
       "      <td>0.646709</td>\n",
       "      <td>0.757434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2020-02-18</td>\n",
       "      <td>-0.152395</td>\n",
       "      <td>0.354121</td>\n",
       "      <td>0.744002</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.506517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2020-02-19</td>\n",
       "      <td>1.077936</td>\n",
       "      <td>0.931968</td>\n",
       "      <td>0.855209</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.145967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2020-02-20</td>\n",
       "      <td>-0.670064</td>\n",
       "      <td>-0.663001</td>\n",
       "      <td>0.997155</td>\n",
       "      <td>0.989154</td>\n",
       "      <td>-0.007063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2020-02-21</td>\n",
       "      <td>-1.729216</td>\n",
       "      <td>-1.651593</td>\n",
       "      <td>0.996444</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.077623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>-1.691966</td>\n",
       "      <td>-3.385880</td>\n",
       "      <td>0.995555</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.693914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2020-02-25</td>\n",
       "      <td>-0.816286</td>\n",
       "      <td>-0.194344</td>\n",
       "      <td>0.910234</td>\n",
       "      <td>0.657766</td>\n",
       "      <td>-0.621942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2020-02-26</td>\n",
       "      <td>-0.039663</td>\n",
       "      <td>-0.466847</td>\n",
       "      <td>0.887792</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.427184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2020-02-27</td>\n",
       "      <td>-2.390636</td>\n",
       "      <td>-1.154110</td>\n",
       "      <td>0.805378</td>\n",
       "      <td>0.792746</td>\n",
       "      <td>-1.236526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2020-02-28</td>\n",
       "      <td>-0.934959</td>\n",
       "      <td>-0.687504</td>\n",
       "      <td>0.932048</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.247455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>2.810833</td>\n",
       "      <td>1.930919</td>\n",
       "      <td>0.915060</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.879914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2020-03-03</td>\n",
       "      <td>-2.015566</td>\n",
       "      <td>-1.356485</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.659081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2020-03-04</td>\n",
       "      <td>2.158859</td>\n",
       "      <td>1.774747</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.384113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2020-03-05</td>\n",
       "      <td>-0.328947</td>\n",
       "      <td>-0.523462</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.194515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2020-03-06</td>\n",
       "      <td>-1.840184</td>\n",
       "      <td>-2.591814</td>\n",
       "      <td>0.958617</td>\n",
       "      <td>0.842229</td>\n",
       "      <td>0.751630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2020-03-09</td>\n",
       "      <td>-4.758023</td>\n",
       "      <td>-4.730108</td>\n",
       "      <td>0.864499</td>\n",
       "      <td>0.680617</td>\n",
       "      <td>-0.027916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2020-03-10</td>\n",
       "      <td>3.230638</td>\n",
       "      <td>3.458935</td>\n",
       "      <td>0.796421</td>\n",
       "      <td>0.869601</td>\n",
       "      <td>-0.228297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>-1.025907</td>\n",
       "      <td>-2.372034</td>\n",
       "      <td>0.759166</td>\n",
       "      <td>0.743855</td>\n",
       "      <td>1.346127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2020-03-12</td>\n",
       "      <td>-5.570097</td>\n",
       "      <td>-5.043342</td>\n",
       "      <td>0.734738</td>\n",
       "      <td>0.512619</td>\n",
       "      <td>-0.526755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2020-03-13</td>\n",
       "      <td>4.778800</td>\n",
       "      <td>3.829034</td>\n",
       "      <td>0.685777</td>\n",
       "      <td>0.811478</td>\n",
       "      <td>0.949766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>-8.275132</td>\n",
       "      <td>-7.262540</td>\n",
       "      <td>0.700641</td>\n",
       "      <td>0.855880</td>\n",
       "      <td>-1.012593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2020-03-17</td>\n",
       "      <td>2.676511</td>\n",
       "      <td>2.971950</td>\n",
       "      <td>0.822587</td>\n",
       "      <td>0.798329</td>\n",
       "      <td>-0.295439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2020-03-18</td>\n",
       "      <td>-3.955056</td>\n",
       "      <td>-3.986173</td>\n",
       "      <td>0.806830</td>\n",
       "      <td>0.740815</td>\n",
       "      <td>0.031117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2020-03-19</td>\n",
       "      <td>1.263453</td>\n",
       "      <td>1.095271</td>\n",
       "      <td>0.780050</td>\n",
       "      <td>0.800531</td>\n",
       "      <td>0.168182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2020-03-20</td>\n",
       "      <td>1.270795</td>\n",
       "      <td>2.773797</td>\n",
       "      <td>0.802103</td>\n",
       "      <td>0.899829</td>\n",
       "      <td>-1.503002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2020-03-23</td>\n",
       "      <td>-1.220625</td>\n",
       "      <td>-1.159887</td>\n",
       "      <td>0.766969</td>\n",
       "      <td>0.548452</td>\n",
       "      <td>-0.060738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2020-03-24</td>\n",
       "      <td>5.901374</td>\n",
       "      <td>4.866121</td>\n",
       "      <td>0.760309</td>\n",
       "      <td>0.807132</td>\n",
       "      <td>1.035253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2020-03-25</td>\n",
       "      <td>1.930207</td>\n",
       "      <td>1.363523</td>\n",
       "      <td>0.731261</td>\n",
       "      <td>0.922063</td>\n",
       "      <td>0.566684</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date      real       est    estpos  estposld  diff_real_est\n",
       "0  2020-01-03 -0.490913 -0.437436  0.950000  0.950000      -0.053477\n",
       "1  2020-01-06  0.409363  0.463410  0.958486  0.982353      -0.054047\n",
       "2  2020-01-07  0.710851  0.724081  0.950877  0.912900      -0.013230\n",
       "3  2020-01-08 -0.539755 -0.903040  0.946768  0.933502       0.363285\n",
       "4  2020-01-09  2.003757  1.670934  0.850957  0.650991       0.332823\n",
       "5  2020-01-10  0.296706  0.666257  0.858318  1.000000      -0.369552\n",
       "6  2020-01-13  1.978986  1.623447  0.811265  0.825773       0.355539\n",
       "7  2020-01-14 -1.510453 -1.376872  0.939974  0.988934      -0.133581\n",
       "8  2020-01-15  0.375787  1.022930  0.924968  1.000000      -0.647143\n",
       "9  2020-01-16  0.637458  0.740169  0.936513  0.775245      -0.102711\n",
       "10 2020-01-17  1.588578  1.295950  0.875570  0.806556       0.292628\n",
       "11 2020-01-20 -0.504751 -0.618700  0.844463  1.000000       0.113950\n",
       "12 2020-01-21 -2.317716 -2.038051  0.865450  0.789285      -0.279665\n",
       "13 2020-01-22  2.036660  1.043652  0.926771  0.984209       0.993008\n",
       "14 2020-01-23 -1.906188 -1.640071  0.908464  1.000000      -0.266117\n",
       "15 2020-02-03 -2.085665 -2.137443  0.993528  1.000000       0.051778\n",
       "16 2020-02-04  4.280964  4.281700  0.991990  0.969460      -0.000735\n",
       "17 2020-02-05 -0.338780 -0.292782  0.987841  0.991819      -0.045998\n",
       "18 2020-02-06  1.949610  1.596505  0.983586  0.995367       0.353105\n",
       "19 2020-02-07  0.245170  0.178653  0.995128  1.000000       0.066517\n",
       "20 2020-02-10  0.821757 -0.197446  0.998101  1.000000       1.019203\n",
       "21 2020-02-11 -0.349311  0.486369  1.000000  1.000000      -0.835680\n",
       "22 2020-02-12  0.817916  1.643115  1.000000  1.000000      -0.825199\n",
       "23 2020-02-13  0.347692 -0.482726  0.910295  0.657998       0.830417\n",
       "24 2020-02-14  0.163619  0.209932  0.798163  0.657998      -0.046313\n",
       "25 2020-02-17  0.884020  0.126587  0.655037  0.646709       0.757434\n",
       "26 2020-02-18 -0.152395  0.354121  0.744002  1.000000      -0.506517\n",
       "27 2020-02-19  1.077936  0.931968  0.855209  1.000000       0.145967\n",
       "28 2020-02-20 -0.670064 -0.663001  0.997155  0.989154      -0.007063\n",
       "29 2020-02-21 -1.729216 -1.651593  0.996444  1.000000      -0.077623\n",
       "30 2020-02-24 -1.691966 -3.385880  0.995555  1.000000       1.693914\n",
       "31 2020-02-25 -0.816286 -0.194344  0.910234  0.657766      -0.621942\n",
       "32 2020-02-26 -0.039663 -0.466847  0.887792  1.000000       0.427184\n",
       "33 2020-02-27 -2.390636 -1.154110  0.805378  0.792746      -1.236526\n",
       "34 2020-02-28 -0.934959 -0.687504  0.932048  1.000000      -0.247455\n",
       "35 2020-03-02  2.810833  1.930919  0.915060  1.000000       0.879914\n",
       "36 2020-03-03 -2.015566 -1.356485  1.000000  1.000000      -0.659081\n",
       "37 2020-03-04  2.158859  1.774747  1.000000  1.000000       0.384113\n",
       "38 2020-03-05 -0.328947 -0.523462  1.000000  1.000000       0.194515\n",
       "39 2020-03-06 -1.840184 -2.591814  0.958617  0.842229       0.751630\n",
       "40 2020-03-09 -4.758023 -4.730108  0.864499  0.680617      -0.027916\n",
       "41 2020-03-10  3.230638  3.458935  0.796421  0.869601      -0.228297\n",
       "42 2020-03-11 -1.025907 -2.372034  0.759166  0.743855       1.346127\n",
       "43 2020-03-12 -5.570097 -5.043342  0.734738  0.512619      -0.526755\n",
       "44 2020-03-13  4.778800  3.829034  0.685777  0.811478       0.949766\n",
       "45 2020-03-16 -8.275132 -7.262540  0.700641  0.855880      -1.012593\n",
       "46 2020-03-17  2.676511  2.971950  0.822587  0.798329      -0.295439\n",
       "47 2020-03-18 -3.955056 -3.986173  0.806830  0.740815       0.031117\n",
       "48 2020-03-19  1.263453  1.095271  0.780050  0.800531       0.168182\n",
       "49 2020-03-20  1.270795  2.773797  0.802103  0.899829      -1.503002\n",
       "50 2020-03-23 -1.220625 -1.159887  0.766969  0.548452      -0.060738\n",
       "51 2020-03-24  5.901374  4.866121  0.760309  0.807132       1.035253\n",
       "52 2020-03-25  1.930207  1.363523  0.731261  0.922063       0.566684"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hl ## 放弃预测了，调仓估计太猛。。。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 中概互联"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "warning: this fund has no data for rate\n"
     ]
    }
   ],
   "source": [
    "zghl = estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F513050\": 100}), (\"est\",  {\"954018\": 95}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.38391103684749234 \n",
      "标准差偏离：  0.9363378102198336\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -1.363 \n",
      "5% 分位:  -0.55 \n",
      "25% 分位:  -0.248 \n",
      "50% 分位:  0.022 \n",
      "75% 分位:  0.231 \n",
      "95% 分位:  0.721 \n",
      "99% 分位:  1.143\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.27 \n",
      "预测涨的比实际多:  0.27 \n",
      "预测跌的比实际多:  0.25 \n",
      "预测跌的比实际少:  0.22\n"
     ]
    }
   ],
   "source": [
    "analyse_all(zghl, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190103 95.05977782839773\n",
      "20190104 95.03628642204424\n",
      "20190107 95.00674155857332\n",
      "20190108 95.74219561435346\n",
      "20190109 95.99842755198297\n",
      "20190110 97.59106099525168\n",
      "20190111 99.07877969071899\n",
      "20190114 97.36853792766284\n",
      "20190115 98.1092696894567\n",
      "20190116"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../lof/predict.py:108: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ratio = realf / estf\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 95.72285254006678\n",
      "20190117 96.21383510605598\n",
      "20190118 95.65858077897346\n",
      "20190122 93.07816445028465\n",
      "20190123 90.86363614676328\n",
      "20190124 92.77878339063216\n",
      "20190125 92.13739014461872\n",
      "20190128 89.6284660878274\n",
      "20190129 89.69693797830962\n",
      "20190130 92.5857542878532\n",
      "20190131 91.45092672149805\n",
      "20190201 91.94124335324895\n",
      "20190211 92.0371018674194\n",
      "20190212 89.29870915293931\n",
      "20190213 89.47447717491525\n",
      "20190214 87.99165812818995\n",
      "20190215 87.61597855139316\n",
      "20190219 87.66600627505248\n",
      "20190220 86.0400337947778\n",
      "20190221 88.46601958527867\n",
      "20190222 86.99926383760953\n",
      "20190225 82.53457675462604\n",
      "20190226 82.50080243747061\n",
      "20190227 83.4558185113491\n",
      "20190228 84.01686586110883\n",
      "20190301 82.7695693068644\n",
      "20190304 82.2555247690458\n",
      "20190305 82.52205048273954\n",
      "20190306 81.04372756885743\n",
      "20190307 84.26530257624395\n",
      "20190308 82.39627797270798\n",
      "20190311 80.30663490728003\n",
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      "20190313 83.91033681139061\n",
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      "20190318 82.4316760655865\n",
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      "20190320 82.31263549050176\n",
      "20190321 83.23522741325728\n",
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      "20190329 81.85614624228347\n",
      "20190401 81.11533688446337\n",
      "20190402 80.13839097027254\n",
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      "20190404 78.5762152717624\n",
      "20190408 77.95023925708234\n",
      "20190409 79.25487131491676\n",
      "20190410 77.44729572082234\n",
      "20190411 80.7380961740686\n",
      "20190412 79.1156950818252\n",
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      "20190416 81.32145571705229\n",
      "20190417 83.01422199807415\n",
      "20190418 83.83926728334508\n",
      "20190419 83.8392672833451\n",
      "20190423 84.77557385087225\n",
      "20190424 84.95338868537081\n",
      "20190425 87.68400537896785\n",
      "20190426 86.87936649112278\n",
      "20190429 86.47117356320503\n",
      "20190430 85.40868764846614\n",
      "20190506 86.25827074462002\n",
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      "20190527 89.72389352611614\n",
      "20190528 89.95655323669412\n",
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      "20190530 85.67472730646605\n",
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      "20190606 81.63231951903772\n",
      "20190610 84.29228216107211\n",
      "20190611 82.6379109666697\n",
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      "20190614 84.69581295701308\n",
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      "20190618 81.94669722485759\n",
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      "20190624 87.72242591927711\n",
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      "20190626 86.27633478077298\n",
      "20190627 88.1646790049758\n",
      "20190628 86.6007207864921\n",
      "20190701 86.60072078649212\n",
      "20190702 87.73386854682403\n",
      "20190703 88.19288746896059\n",
      "20190704 88.1928874689606\n",
      "20190705 89.60391359719156\n",
      "20190708 87.0628978537872\n",
      "20190709 82.75233172231209\n",
      "20190710 82.89701532378739\n",
      "20190711 84.34191154131364\n",
      "20190712 79.12272758451569\n",
      "20190715 79.4599621815806\n",
      "20190716 82.16834650203162\n",
      "20190717 83.20441573929641\n",
      "20190718 83.09904695021525\n",
      "20190719 82.63463365340928\n",
      "20190722 83.95279586096935\n",
      "20190723 85.05339053245558\n",
      "20190724 83.1604572884211\n",
      "20190725 80.52588030638508\n",
      "20190726 82.57118631425129\n",
      "20190729 81.99159152912002\n",
      "20190730 77.50935623268927\n",
      "20190731 78.65113772816018\n",
      "20190801 82.57842769657731\n",
      "20190802 83.55934010716457\n",
      "20190805 83.5413751670636\n",
      "20190806 85.09216983475291\n",
      "20190807 87.61240922912542\n",
      "20190808 87.25452448472119\n",
      "20190809 88.83559960616782\n",
      "20190812 88.30061157599431\n",
      "20190813 86.35899675851911\n",
      "20190814 85.17945687534454\n",
      "20190815 81.23764855246921\n",
      "20190816 81.43461019409226\n",
      "20190819 79.15653443562118\n",
      "20190820 80.12315656818971\n",
      "20190821 81.81807567656645\n",
      "20190822 82.5837564693431\n",
      "20190823 83.21941870076944\n",
      "20190826 81.59684853720502\n",
      "20190827 83.19065603220115\n",
      "20190828 83.4071884900209\n",
      "20190829 81.38751764622646\n",
      "20190830 85.70689921886952\n",
      "20190903 84.2237548903551\n",
      "20190904 85.54898130359554\n",
      "20190905 85.10752664525786\n",
      "20190906 84.03763605596718\n",
      "20190909 86.01121196784845\n",
      "20190910 84.21416030435095\n",
      "20190911 84.06183285446481\n",
      "20190912 84.02323464629706\n",
      "20190916 88.18405764125166\n",
      "20190917 86.57928551027044\n",
      "20190918 90.68333265218045\n",
      "20190919 92.09776310736503\n",
      "20190920 93.7685003378053\n",
      "20190923 94.03147815048935\n",
      "20190924 94.68003715568472\n",
      "20190925 92.95186518263074\n",
      "20190926 93.5117003821691\n",
      "20190927 91.17453869647476\n",
      "20190930 92.82733062548884\n",
      "20191008 94.78621183177842\n",
      "20191009 95.2611871531049\n",
      "20191010 95.23063348382243\n",
      "20191011 94.56647848241398\n",
      "20191014 90.84401561913043\n",
      "20191015 92.31438670731299\n",
      "20191016 94.44120431894956\n",
      "20191017 90.52155480326587\n",
      "20191018 93.19529800875279\n",
      "20191021 94.11204014846302\n",
      "20191022 92.83610005210578\n",
      "20191023 92.49834121782595\n",
      "20191024 90.27770586936087\n",
      "20191025 91.73138605308976\n",
      "20191028 91.86072994053984\n",
      "20191029 87.23274149642879\n",
      "20191030 87.73508189206181\n",
      "20191031 89.48310445306934\n",
      "20191101 87.22031285479783\n",
      "20191104 83.97955006033162\n",
      "20191105 81.91636631847358\n",
      "20191106 82.40192542548476\n",
      "20191107 82.68389451085935\n",
      "20191108 81.05230141493745\n",
      "20191111 79.43594305037148\n",
      "20191112 83.23859491378978\n",
      "20191113 86.13029516039168\n",
      "20191114 84.41695963228024\n",
      "20191115 84.93768651112092\n",
      "20191118 85.11978613042177\n",
      "20191119 83.85799050312228\n",
      "20191120 84.08470499537617\n",
      "20191121 82.93320865350027\n",
      "20191122 81.65201004711952\n",
      "20191125 79.4794826782809\n",
      "20191126 80.41844874835475\n",
      "20191127 83.5789005432717\n",
      "20191128 83.81911528061168\n",
      "20191129 85.32161937649389\n",
      "20191202 86.38147095792378\n",
      "20191203 87.14354501109791\n",
      "20191204 88.95208624052184\n",
      "20191205 89.23854398015004\n",
      "20191206 88.46205761887528\n",
      "20191209 88.2586953645105\n",
      "20191210 91.94731348751833\n",
      "20191211 91.62090641732\n",
      "20191212 91.95315904839013\n",
      "20191213 93.68637751040286\n",
      "20191216 96.72634513321702\n",
      "20191217 96.44815953383288\n",
      "20191218 96.76184771717477\n",
      "20191219 95.95011516281228\n",
      "20191220 99.69631171706749\n",
      "20191223 98.94366978075793\n",
      "20191224 96.4219682906778\n",
      "20191225 96.73416318052396\n",
      "20191226 99.80538672013364\n",
      "20191227 97.65238642313246\n",
      "20191230 97.16957215410612\n",
      "20191231 95.41032789064424\n",
      "20200102 99.59368237733851\n",
      "20200103 100.0\n",
      "20200106 99.64779759183081\n",
      "20200107 97.9027972082973\n",
      "20200108 100.0\n",
      "20200109 99.1296815397325\n",
      "20200110 99.99999999999999\n",
      "20200113 99.98800685455286\n",
      "20200114 99.99999999999999\n",
      "20200115 100.00000000000001\n",
      "20200116 98.15149913014469\n",
      "20200117 100.00000000000001\n",
      "20200120 100.0\n",
      "20200121 97.48352578780965\n",
      "20200122 100.00000000000001\n",
      "20200123 99.45845909147945\n",
      "20200203 96.02921468808881\n",
      "20200204 95.99412870695689\n",
      "20200205 95.92786898081465\n",
      "20200206 93.55927431696175\n",
      "20200207 94.08673253577456\n",
      "20200210 92.75119658566639\n",
      "20200211 92.7137832225167\n",
      "20200212 94.16679639869157\n",
      "20200213 93.70070316127686\n",
      "20200214 92.78063375730268\n",
      "20200217 90.18083184689543\n",
      "20200218 88.18081003961643\n",
      "20200219 89.41963597836396\n",
      "20200220 91.03837384387094\n",
      "20200221 90.26912894162687\n",
      "20200224 90.54881566134199\n",
      "20200225 94.2030430162798\n",
      "20200226 93.68335376927017\n",
      "20200227 92.99305332055847\n",
      "20200228 92.45730313461226\n",
      "20200302 93.3586589992516\n",
      "20200303 91.31696670181668\n",
      "20200304 91.59432496466799\n",
      "20200305 90.47912798776595\n"
     ]
    }
   ],
   "source": [
    "zghl = estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F513050\": 100}), (\"est\",  {\"954018\": 95}),\n",
    "                       float_holdings=True, window=4, decay=0.65, smooth=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.3729667577703976 \n",
      "标准差偏离：  0.8792921342073579\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -1.355 \n",
      "5% 分位:  -0.554 \n",
      "25% 分位:  -0.236 \n",
      "50% 分位:  -0.005 \n",
      "75% 分位:  0.239 \n",
      "95% 分位:  0.717 \n",
      "99% 分位:  1.112\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.3 \n",
      "预测涨的比实际多:  0.23 \n",
      "预测跌的比实际多:  0.19 \n",
      "预测跌的比实际少:  0.28\n"
     ]
    }
   ],
   "source": [
    "analyse_all(zghl, \"diff_real_est\") ## 效果整体不佳，毕竟只是替代指数预测，是用中国互联在预测中概互联"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "warning: this fund has no data for rate\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/shixin/Documents/newwork/quant finance/xalpha/xalpha/universal.py:111: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[k] = df[k].apply(_float)\n"
     ]
    }
   ],
   "source": [
    "zghl = estimate_table(\"20190101\", \"20200305\", (\"real\", {\"F513050\": 100}), (\"est\",  holdings[\"513050\"]))\n",
    "# 直接按股票持仓回测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.23933544281723101 \n",
      "标准差偏离：  0.3804756811121884\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.861 \n",
      "5% 分位:  -0.547 \n",
      "25% 分位:  -0.179 \n",
      "50% 分位:  -0.023 \n",
      "75% 分位:  0.141 \n",
      "95% 分位:  0.481 \n",
      "99% 分位:  0.825\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.35 \n",
      "预测涨的比实际多:  0.19 \n",
      "预测跌的比实际多:  0.1 \n",
      "预测跌的比实际少:  0.36\n"
     ]
    }
   ],
   "source": [
    "analyse_all(zghl, \"diff_real_est\") # 效果明显好于用中国互联替代预测，但精度还是处于预测的下游"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 富时100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "fs = estimate_table(\"20200210\", \"20200310\", (\"real\", {\"F539003\": 100}), (\"est\",  {\"27\": 90}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.5283972528064959 \n",
      "标准差偏离：  0.7386660564739429\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.488 \n",
      "5% 分位:  -0.47 \n",
      "25% 分位:  -0.264 \n",
      "50% 分位:  0.242 \n",
      "75% 分位:  0.593 \n",
      "95% 分位:  1.1 \n",
      "99% 分位:  2.244\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.24 \n",
      "预测涨的比实际多:  0.19 \n",
      "预测跌的比实际多:  0.38 \n",
      "预测跌的比实际少:  0.19\n"
     ]
    }
   ],
   "source": [
    "analyse_all(fs, \"diff_real_est\")  ## 这也算跟踪？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20200211 90.69251051123888\n",
      "20200212 91.82780658000073\n",
      "20200213 92.36374912425\n",
      "20200214 93.91310721733443\n",
      "20200217 92.59854258721278\n",
      "20200218 89.37083140167216\n",
      "20200219 90.6704612198551\n",
      "20200220 88.60876119620922\n",
      "20200221 85.13194068592846\n",
      "20200224 83.93483146866896\n",
      "20200225 85.24384764935226\n",
      "20200226 86.1241074875769\n",
      "20200227 84.00510647475909\n",
      "20200228 83.22577290949985\n",
      "20200302 81.18712928277694\n",
      "20200303 83.54102738460666\n",
      "20200304 84.65645864940409\n",
      "20200305 84.53867383376162\n",
      "20200306 81.55699857796287\n",
      "20200309 81.60885728246151\n",
      "20200310 79.82079347815389\n"
     ]
    }
   ],
   "source": [
    "fs = estimate_table(\"20200210\", \"20200310\", (\"real\", {\"F539003\": 100}), (\"est\",  {\"27\": 90}), \n",
    "                    float_holdings=True, window=4, decay=0.65, smooth=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.4695590992529565 \n",
      "标准差偏离：  0.6669560977885407\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.49 \n",
      "5% 分位:  -0.462 \n",
      "25% 分位:  -0.313 \n",
      "50% 分位:  0.236 \n",
      "75% 分位:  0.529 \n",
      "95% 分位:  0.779 \n",
      "99% 分位:  2.071\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.29 \n",
      "预测涨的比实际多:  0.14 \n",
      "预测跌的比实际多:  0.38 \n",
      "预测跌的比实际少:  0.19\n"
     ]
    }
   ],
   "source": [
    "analyse_all(fs, \"diff_real_est\") # 虽然略有改善，但也是很差"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 华宝中小"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "hbzx = estimate_table(\"20190101\", \"20200310\", (\"real\", {\"F501021\": 100}), (\"est\",  {\".SPHCMSHP\": 92}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.12873881115102398 \n",
      "标准差偏离：  0.1794073681739216\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.487 \n",
      "5% 分位:  -0.302 \n",
      "25% 分位:  -0.065 \n",
      "50% 分位:  0.02 \n",
      "75% 分位:  0.106 \n",
      "95% 分位:  0.278 \n",
      "99% 分位:  0.516\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.37 \n",
      "预测涨的比实际多:  0.22 \n",
      "预测跌的比实际多:  0.19 \n",
      "预测跌的比实际少:  0.23\n"
     ]
    }
   ],
   "source": [
    "analyse_all(hbzx, \"diff_real_est\") "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 标普科技"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "bp = estimate_table(\"20190301\", \"20200301\", (\"real\", {\"F161128\": 100}), (\"est\",  {\"962700\": 95}) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.03005764396976259 \n",
      "标准差偏离：  0.04837197894916738\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.103 \n",
      "5% 分位:  -0.069 \n",
      "25% 分位:  -0.024 \n",
      "50% 分位:  -0.006 \n",
      "75% 分位:  0.014 \n",
      "95% 分位:  0.054 \n",
      "99% 分位:  0.139\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.09 \n",
      "预测涨的比实际多:  0.49 \n",
      "预测跌的比实际多:  0.32 \n",
      "预测跌的比实际少:  0.1\n"
     ]
    }
   ],
   "source": [
    "analyse_all(bp, \"diff_real_est\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "bp = estimate_table_with_pos(\"20190301\", \"20200301\", (\"real\", {\"F161128\": 100}), (\"est\",  {\"962700\": 90}) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.021718872044452726 \n",
      "标准差偏离：  0.041554018312517586\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.105 \n",
      "5% 分位:  -0.049 \n",
      "25% 分位:  -0.011 \n",
      "50% 分位:  -0.003 \n",
      "75% 分位:  0.008 \n",
      "95% 分位:  0.063 \n",
      "99% 分位:  0.094\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.27 \n",
      "预测涨的比实际多:  0.31 \n",
      "预测跌的比实际多:  0.14 \n",
      "预测跌的比实际少:  0.28\n"
     ]
    }
   ],
   "source": [
    "analyse_all(bp, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x118a26630>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bp.plot(x=\"date\", y=\"estpos\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "bp = estimate_table(\"20200201\", \"20200325\", (\"real\", {\"F161128\": 100}), (\"est\",  {\"962700\": 95}) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.10711800037902634 \n",
      "标准差偏离：  0.18298292891054715\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.555 \n",
      "5% 分位:  -0.316 \n",
      "25% 分位:  -0.071 \n",
      "50% 分位:  -0.025 \n",
      "75% 分位:  0.013 \n",
      "95% 分位:  0.151 \n",
      "99% 分位:  0.422\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.27 \n",
      "预测涨的比实际多:  0.16 \n",
      "预测跌的比实际多:  0.16 \n",
      "预测跌的比实际少:  0.41\n"
     ]
    }
   ],
   "source": [
    "analyse_all(bp, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "bp = estimate_table_with_pos(\"20200201\", \"20200325\", (\"real\", {\"F161128\": 100}), (\"est\",  {\"962700\": 95}) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.1178957348472328 \n",
      "标准差偏离：  0.20216755173213008\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.703 \n",
      "5% 分位:  -0.366 \n",
      "25% 分位:  -0.094 \n",
      "50% 分位:  -0.009 \n",
      "75% 分位:  0.024 \n",
      "95% 分位:  0.143 \n",
      "99% 分位:  0.357\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.24 \n",
      "预测涨的比实际多:  0.19 \n",
      "预测跌的比实际多:  0.22 \n",
      "预测跌的比实际少:  0.35\n"
     ]
    }
   ],
   "source": [
    "analyse_all(bp, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11a702b00>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bp.plot(x=\"date\", y=\"estpos\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 诺安油气"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "nayq = estimate_table(\"20190101\", \"20200310\", (\"real\", {\"F163208\": 100}), (\"est\",  holdings[\"163208\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.13208577471850988 \n",
      "标准差偏离：  0.22785982345126046\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.362 \n",
      "5% 分位:  -0.24 \n",
      "25% 分位:  -0.095 \n",
      "50% 分位:  -0.009 \n",
      "75% 分位:  0.073 \n",
      "95% 分位:  0.345 \n",
      "99% 分位:  0.565\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.18 \n",
      "预测涨的比实际多:  0.36 \n",
      "预测跌的比实际多:  0.28 \n",
      "预测跌的比实际少:  0.19\n"
     ]
    }
   ],
   "source": [
    "analyse_all(nayq, \"diff_real_est\")  # 预测一般，但不是特别差"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190109 90.12407704517783\n",
      "20190110 90.43832932363975\n",
      "20190111 90.80916214589467\n",
      "20190114 91.75772964993098\n",
      "20190116 89.98302301063102\n",
      "20190117 88.4585862070784\n",
      "20190118 86.28018736544071\n",
      "20190121 84.50811217824572\n",
      "20190122 83.34368318060753\n",
      "20190124 82.34778682050076\n",
      "20190125 81.30324534742645\n",
      "20190201 79.70574831926663\n",
      "20190211 78.00607798476406\n",
      "20190212 76.8562995036019\n",
      "20190222 76.26879557510891\n",
      "20190307 76.46274054913988\n",
      "20190308 78.29745553486339\n",
      "20190401 79.91683678491083\n",
      "20190402 81.61377984875169\n",
      "20190403 82.64121397670125\n",
      "20190404 83.36494717851892\n",
      "20190408 84.13441411148536\n",
      "20190411 83.15843115013897\n",
      "20190412 82.1806584252174\n",
      "20190415 80.77963946696569\n",
      "20190416 79.42267569952918\n",
      "20190417 78.54651901050448\n",
      "20190419 77.73982483246162\n",
      "20190424 78.21042094934018\n",
      "20190426 78.88767203784838\n",
      "20190510 78.32777539101468\n",
      "20190513 77.5732539037026\n",
      "20190515 79.64755529969275\n",
      "20190524 78.76129907341681\n",
      "20190604 78.321881204943\n",
      "20190610 78.82437355798501\n",
      "20190624 79.82894043272621\n",
      "20190625 81.34302770290101\n",
      "20190626 83.39738153340751\n",
      "20190627 86.77990017592177\n",
      "20190628 89.51311825896367\n",
      "20190701 91.91452345576053\n",
      "20190702 93.01568648992476\n",
      "20190703 93.97897479042777\n",
      "20190704 94.81491555363318\n",
      "20190709 92.06181050277551\n",
      "20190710 89.55384466978396\n",
      "20190711 87.6566678866587\n",
      "20190712 86.17400811626706\n",
      "20190719 85.1540603628906\n",
      "20190730 87.77549339065237\n",
      "20190816 86.78655093981286\n",
      "20190826 85.46087969609856\n",
      "20190827 84.93879289245014\n",
      "20190828 84.3045814000053\n",
      "20190829 83.87844609978144\n",
      "20190903 82.48561309767996\n",
      "20190904 80.89941917008524\n",
      "20190905 80.21491517657721\n",
      "20190910 81.31859885524185\n",
      "20190911 82.24719155624906\n",
      "20190917 81.57099244396906\n",
      "20190918 79.72269941264337\n",
      "20190920 80.62804020203616\n",
      "20190923 81.37517041803314\n",
      "20190926 80.45653014502965\n",
      "20190927 81.03559854325073\n",
      "20190930 81.62326079550274\n",
      "20191008 82.76936863845096\n",
      "20191009 83.60300121561683\n",
      "20191015 84.2192018430088\n",
      "20191016 85.32642634446039\n",
      "20191017 87.03727766283689\n",
      "20191018 89.15818302891937\n",
      "20191021 89.81513059321556\n",
      "20191023 88.20675728896435\n",
      "20191025 89.14969462884349\n",
      "20191028 90.68065938612995\n",
      "20191101 89.6774197130793\n",
      "20191105 90.80667036227673\n",
      "20191106 91.8376412275338\n",
      "20191107 92.72789229537223\n",
      "20191206 91.51555982979154\n",
      "20191209 90.56109445203488\n",
      "20191210 88.06903453871331\n",
      "20191211 85.91527583633278\n",
      "20200102 87.37446718115473\n",
      "20200103 88.17280363494083\n",
      "20200109 89.27207857764417\n",
      "20200110 90.33042928629098\n",
      "20200113 91.46179927564316\n",
      "20200114 92.31659597759563\n",
      "20200121 93.54704289430265\n",
      "20200203 92.3497035019482\n",
      "20200204 90.99009906578198\n",
      "20200210 89.96684581718458\n",
      "20200214 90.65777701087546\n",
      "20200219 91.83101987633192\n",
      "20200227 90.11683767005228\n",
      "20200228 88.16750247345384\n",
      "20200302 87.00922331251489\n",
      "20200303 85.49730309149928\n",
      "20200304 83.78457319899616\n",
      "20200306 82.91777998504327\n"
     ]
    }
   ],
   "source": [
    "nayq = estimate_table(\"20190101\", \"20200310\", (\"real\", {\"F163208\": 100}), (\"est\",  holdings[\"163208\"]), float_holdings=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.10036739554677777 \n",
      "标准差偏离：  0.15816222684666867\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.409 \n",
      "5% 分位:  -0.229 \n",
      "25% 分位:  -0.071 \n",
      "50% 分位:  -0.008 \n",
      "75% 分位:  0.065 \n",
      "95% 分位:  0.195 \n",
      "99% 分位:  0.442\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.25 \n",
      "预测涨的比实际多:  0.28 \n",
      "预测跌的比实际多:  0.2 \n",
      "预测跌的比实际少:  0.27\n"
     ]
    }
   ],
   "source": [
    "analyse_all(nayq, \"diff_real_est\") # 预测明显改善"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 白银基金"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "by = estimate_table(\"20190101\", \"20200310\", (\"real\", {\"F161226\": 100}), (\"est\",  {\"996734\": 95}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.44999715731539347 \n",
      "标准差偏离：  0.7661396339450135\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -3.04 \n",
      "5% 分位:  -1.127 \n",
      "25% 分位:  -0.184 \n",
      "50% 分位:  -0.004 \n",
      "75% 分位:  0.236 \n",
      "95% 分位:  0.936 \n",
      "99% 分位:  2.563\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.3 \n",
      "预测涨的比实际多:  0.26 \n",
      "预测跌的比实际多:  0.17 \n",
      "预测跌的比实际少:  0.27\n"
     ]
    }
   ],
   "source": [
    "analyse_all(by, \"diff_real_est\") #偏差过大。。。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 信诚商品"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "xc = estimate_table(\"20190301\", \"20200310\", (\"real\", {\"F165513\": 100}), (\"est\",  holdings[\"165513\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.1595405294858351 \n",
      "标准差偏离：  0.29326077238744225\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.808 \n",
      "5% 分位:  -0.31 \n",
      "25% 分位:  -0.093 \n",
      "50% 分位:  -0.013 \n",
      "75% 分位:  0.107 \n",
      "95% 分位:  0.278 \n",
      "99% 分位:  0.975\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.31 \n",
      "预测涨的比实际多:  0.29 \n",
      "预测跌的比实际多:  0.16 \n",
      "预测跌的比实际少:  0.23\n"
     ]
    }
   ],
   "source": [
    "analyse_all(xc, \"diff_real_est\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "xc = estimate_table(\"20200101\", \"20200320\", (\"real\", {\"F165513\": 100}), (\"est\",  holdings[\"165513\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.4045582553634708 \n",
      "标准差偏离：  0.7429430088592022\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -1.638 \n",
      "5% 分位:  -0.797 \n",
      "25% 分位:  -0.096 \n",
      "50% 分位:  0.042 \n",
      "75% 分位:  0.166 \n",
      "95% 分位:  1.653 \n",
      "99% 分位:  2.427\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.26 \n",
      "预测涨的比实际多:  0.2 \n",
      "预测跌的比实际多:  0.34 \n",
      "预测跌的比实际少:  0.2\n"
     ]
    }
   ],
   "source": [
    "analyse_all(xc, \"diff_real_est\") "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 银华通胀"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "yh = estimate_table(\"20200101\", \"20200301\", (\"real\", {\"F161815\": 100}), (\"est\",  holdings[\"161815\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.15532680999625523 \n",
      "标准差偏离：  0.18436609999596307\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.313 \n",
      "5% 分位:  -0.276 \n",
      "25% 分位:  -0.139 \n",
      "50% 分位:  -0.01 \n",
      "75% 分位:  0.138 \n",
      "95% 分位:  0.298 \n",
      "99% 分位:  0.316\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.26 \n",
      "预测涨的比实际多:  0.26 \n",
      "预测跌的比实际多:  0.23 \n",
      "预测跌的比实际少:  0.26\n"
     ]
    }
   ],
   "source": [
    "analyse_all(yh, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "yh = estimate_table(\"20200101\", \"20200301\", (\"real\", {\"F161815\": 100}), (\"est\", {\"1088675\": 70}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.3171633251037427 \n",
      "标准差偏离：  0.40339062807400033\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.709 \n",
      "5% 分位:  -0.669 \n",
      "25% 分位:  -0.211 \n",
      "50% 分位:  0.048 \n",
      "75% 分位:  0.274 \n",
      "95% 分位:  0.65 \n",
      "99% 分位:  0.863\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.31 \n",
      "预测涨的比实际多:  0.2 \n",
      "预测跌的比实际多:  0.23 \n",
      "预测跌的比实际少:  0.26\n"
     ]
    }
   ],
   "source": [
    "analyse_all(yh, \"diff_real_est\") #0.317, 0.403 70 (0.75, 0.82)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 易基黄金"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from lof.holdings import holdings_161116_19s4\n",
    "\n",
    "gld = estimate_table(\"20200101\", \"20200325\", (\"real\", {\"F161116\": 100}), (\"est\",  holdings_161116_19s4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "92.86999999999999"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum([v for _, v in holdings_161116_19s4.items()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.6535647648387035 \n",
      "标准差偏离：  1.3088569523948343\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -4.815 \n",
      "5% 分位:  -1.463 \n",
      "25% 分位:  -0.181 \n",
      "50% 分位:  0.016 \n",
      "75% 分位:  0.27 \n",
      "95% 分位:  1.509 \n",
      "99% 分位:  3.543\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.28 \n",
      "预测涨的比实际多:  0.28 \n",
      "预测跌的比实际多:  0.26 \n",
      "预测跌的比实际少:  0.17\n"
     ]
    }
   ],
   "source": [
    "analyse_all(gld, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x122da2470>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xa.Compare(\"F161116\", (\"commodities/gold\",\"USD\"), start=\"20180101\").v()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>F161116</th>\n",
       "      <th>commodities/gold</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>F161116</th>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.59971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>commodities/gold</th>\n",
       "      <td>0.59971</td>\n",
       "      <td>1.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  F161116  commodities/gold\n",
       "F161116           1.00000           0.59971\n",
       "commodities/gold  0.59971           1.00000"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xa.Compare(\"F161116\", (\"commodities/gold\",\"USD\"), start=\"20180101\").corr() # 和黄金相关系数不及格。。。。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "gld = estimate_table_with_pos(\"20191001\", \"20200225\", (\"real\", {\"F161116\": 100}), (\"est\",  holdings_161116_19s4),\n",
    "                             window=3, decay=0.8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.19134468565719392 \n",
      "标准差偏离：  0.2517831260198441\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.621 \n",
      "5% 分位:  -0.452 \n",
      "25% 分位:  -0.105 \n",
      "50% 分位:  0.02 \n",
      "75% 分位:  0.162 \n",
      "95% 分位:  0.447 \n",
      "99% 分位:  0.578\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.41 \n",
      "预测涨的比实际多:  0.16 \n",
      "预测跌的比实际多:  0.13 \n",
      "预测跌的比实际少:  0.3\n"
     ]
    }
   ],
   "source": [
    "analyse_all(gld, \"diff_real_est\") # 0.49， 0.92 20 年  平稳时期"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1218f17b8>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gld.plot(x=\"date\", y=\"estpos\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 嘉实黄金"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from lof.holdings import holdings_160719_19s4\n",
    "# xa.provider.set_proxy(\"http://127.0.0.1:8087\")\n",
    "gld = estimate_table(\"20191001\", \"20200225\", (\"real\", {\"F160719\": 100}), (\"est\",  holdings[\"160719\"]),(\"bcest\", \n",
    "                                                                                                        {\"commodities/gold\":90})\n",
    "                             )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.12140793326205283 \n",
      "标准差偏离：  0.15001160103371575\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.362 \n",
      "5% 分位:  -0.24 \n",
      "25% 分位:  -0.101 \n",
      "50% 分位:  0.0 \n",
      "75% 分位:  0.097 \n",
      "95% 分位:  0.227 \n",
      "99% 分位:  0.281\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.33 \n",
      "预测涨的比实际多:  0.28 \n",
      "预测跌的比实际多:  0.17 \n",
      "预测跌的比实际少:  0.22\n",
      "\n",
      "\n",
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.17300555954771488 \n",
      "标准差偏离：  0.23733166703645128\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.629 \n",
      "5% 分位:  -0.395 \n",
      "25% 分位:  -0.121 \n",
      "50% 分位:  -0.005 \n",
      "75% 分位:  0.114 \n",
      "95% 分位:  0.359 \n",
      "99% 分位:  0.449\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.27 \n",
      "预测涨的比实际多:  0.34 \n",
      "预测跌的比实际多:  0.23 \n",
      "预测跌的比实际少:  0.16\n"
     ]
    }
   ],
   "source": [
    "analyse_all(gld, \"diff_real_est\")\n",
    "print(\"\\n\")\n",
    "analyse_all(gld, \"diff_real_bcest\") # 还是真实持仓准"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "gld = estimate_table_with_pos(\"20191001\", \"20200225\", (\"real\", {\"F160719\": 100}), (\"est\",  holdings_160719_19s4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.13032855563168053 \n",
      "标准差偏离：  0.16198181760630712\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.402 \n",
      "5% 分位:  -0.301 \n",
      "25% 分位:  -0.117 \n",
      "50% 分位:  -0.011 \n",
      "75% 分位:  0.112 \n",
      "95% 分位:  0.232 \n",
      "99% 分位:  0.262\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.37 \n",
      "预测涨的比实际多:  0.25 \n",
      "预测跌的比实际多:  0.1 \n",
      "预测跌的比实际少:  0.29\n"
     ]
    }
   ],
   "source": [
    "analyse_all(gld, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11f3a4e10>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xa.Compare(\"F160719\", \"F159937\",(\"commodities/gold\",\"USD\"), start=\"20180601\").v() # 跟不上啊"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>F160719</th>\n",
       "      <th>commodities/gold</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>F160719</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.716482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>commodities/gold</th>\n",
       "      <td>0.716482</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   F160719  commodities/gold\n",
       "F160719           1.000000          0.716482\n",
       "commodities/gold  0.716482          1.000000"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xa.Compare(\"F160719\", (\"commodities/gold\",\"USD\"), start=\"20180101\").corr() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11f212630>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gld.plot(x=\"date\", y=\"estpos\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "gld = estimate_table_with_pos(\"20200201\", \"20200325\", (\"real\", {\"F160719\": 100}), (\"est\",  holdings_160719_19s4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.2956363763900901 \n",
      "标准差偏离：  0.4074806463984154\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.719 \n",
      "5% 分位:  -0.664 \n",
      "25% 分位:  -0.181 \n",
      "50% 分位:  0.053 \n",
      "75% 分位:  0.203 \n",
      "95% 分位:  0.918 \n",
      "99% 分位:  1.034\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.43 \n",
      "预测涨的比实际多:  0.19 \n",
      "预测跌的比实际多:  0.14 \n",
      "预测跌的比实际少:  0.24\n"
     ]
    }
   ],
   "source": [
    "analyse_all(gld, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "gld = estimate_table(\"20200201\", \"20200325\", (\"real\", {\"F160719\": 100}), (\"est\",  holdings_160719_19s4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.2880271666070501 \n",
      "标准差偏离：  0.3716035221774948\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.724 \n",
      "5% 分位:  -0.658 \n",
      "25% 分位:  -0.199 \n",
      "50% 分位:  0.062 \n",
      "75% 分位:  0.197 \n",
      "95% 分位:  0.585 \n",
      "99% 分位:  0.838\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.43 \n",
      "预测涨的比实际多:  0.19 \n",
      "预测跌的比实际多:  0.19 \n",
      "预测跌的比实际少:  0.19\n"
     ]
    }
   ],
   "source": [
    "analyse_all(gld, \"diff_real_est\") ## 固定仓位好点"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 汇添富黄金"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "xa.provider.set_proxy(\"http://127.0.0.1:8087\")\n",
    "gld = estimate_table(\n",
    "    \"20191001\",\n",
    "    \"20200225\",\n",
    "    (\"real\", {\"F164701\": 100}),\n",
    "    (\"est\", holdings[\"164701\"]),\n",
    "    (\"bcest\", {\"commodities/gold\": 90}),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.05400003928906106 \n",
      "标准差偏离：  0.06995691407820687\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.162 \n",
      "5% 分位:  -0.11 \n",
      "25% 分位:  -0.054 \n",
      "50% 分位:  -0.007 \n",
      "75% 分位:  0.04 \n",
      "95% 分位:  0.115 \n",
      "99% 分位:  0.153\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.28 \n",
      "预测涨的比实际多:  0.35 \n",
      "预测跌的比实际多:  0.15 \n",
      "预测跌的比实际少:  0.22\n",
      "\n",
      "\n",
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.1730015259474371 \n",
      "标准差偏离：  0.21976789496119645\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.531 \n",
      "5% 分位:  -0.399 \n",
      "25% 分位:  -0.126 \n",
      "50% 分位:  0.007 \n",
      "75% 分位:  0.13 \n",
      "95% 分位:  0.328 \n",
      "99% 分位:  0.462\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.33 \n",
      "预测涨的比实际多:  0.3 \n",
      "预测跌的比实际多:  0.19 \n",
      "预测跌的比实际少:  0.17\n"
     ]
    }
   ],
   "source": [
    "analyse_all(gld, \"diff_real_est\")\n",
    "print(\"\\n\")\n",
    "analyse_all(gld, \"diff_real_bcest\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "gld = estimate_table_with_pos(\n",
    "    \"20200101\",\n",
    "    \"20200326\",\n",
    "    (\"real\", {\"F164701\": 100}),\n",
    "    (\"est\", holdings[\"164701\"]),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.09796134999036103 \n",
      "标准差偏离：  0.13560257112270027\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.329 \n",
      "5% 分位:  -0.207 \n",
      "25% 分位:  -0.076 \n",
      "50% 分位:  -0.005 \n",
      "75% 分位:  0.065 \n",
      "95% 分位:  0.199 \n",
      "99% 分位:  0.35\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.31 \n",
      "预测涨的比实际多:  0.31 \n",
      "预测跌的比实际多:  0.17 \n",
      "预测跌的比实际少:  0.2\n"
     ]
    }
   ],
   "source": [
    "analyse_all(gld, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "gld = estimate_table(\n",
    "    \"20200101\",\n",
    "    \"20200326\",\n",
    "    (\"real\", {\"F164701\": 100}),\n",
    "    (\"est\", holdings[\"164701\"]),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.07935650312273379 \n",
      "标准差偏离：  0.10888561587283502\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.199 \n",
      "5% 分位:  -0.166 \n",
      "25% 分位:  -0.072 \n",
      "50% 分位:  -0.002 \n",
      "75% 分位:  0.054 \n",
      "95% 分位:  0.168 \n",
      "99% 分位:  0.314\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.31 \n",
      "预测涨的比实际多:  0.31 \n",
      "预测跌的比实际多:  0.15 \n",
      "预测跌的比实际少:  0.22\n"
     ]
    }
   ],
   "source": [
    "analyse_all(gld, \"diff_real_est\") ## 仓位固定效果略好，类似指数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.4444613839378\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x118c7a358>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gld.plot(x=\"date\", y=\"estpos\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/shixin/Documents/newwork/quant finance/xalpha/xalpha/universal.py:152: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[k] = df[k].apply(_float)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "warning: this fund has no data for rate\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x118d14c50>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xa.Compare(\"F164701\", (\"commodities/gold\", \"USD\"),\"F518880\", start=\"20190601\").v()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 华安标普预测替代尝试"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "haoil = estimate_table(\"20190101\", \"20200310\", (\"real\", {\"F160416\": 100}), (\"est\",  {\"520\": 88}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.2207225009490602 \n",
      "标准差偏离：  0.32810089194879843\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.947 \n",
      "5% 分位:  -0.398 \n",
      "25% 分位:  -0.143 \n",
      "50% 分位:  -0.003 \n",
      "75% 分位:  0.164 \n",
      "95% 分位:  0.437 \n",
      "99% 分位:  0.891\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.29 \n",
      "预测涨的比实际多:  0.24 \n",
      "预测跌的比实际多:  0.21 \n",
      "预测跌的比实际少:  0.27\n"
     ]
    }
   ],
   "source": [
    "analyse_all(haoil, \"diff_real_est\") #"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190103 90.50509834425999\n",
      "20190104 90.82870624536903\n",
      "20190107 91.535888888205\n",
      "20190108 92.41654224670755\n",
      "20190109 92.17991901311608\n",
      "20190110 92.17991901311606\n",
      "20190111 92.7164042022933\n",
      "20190114 92.65822489404091\n",
      "20190115 92.97020645646519\n",
      "20190116 92.79518057471901\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../lof/predict.py:108: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ratio = realf / estf\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190117 92.103604741907\n",
      "20190118 92.03459796307658\n",
      "20190121 90.27349561955084\n",
      "20190122 90.08613925310753\n",
      "20190123 91.17978608333203\n",
      "20190124 90.76197559236697\n",
      "20190125 91.27255334878238\n",
      "20190128 92.0525419006446\n",
      "20190129 91.38684703817515\n",
      "20190130 89.84960019985343\n",
      "20190131 90.51054912701738\n",
      "20190201 90.36498736305242\n",
      "20190211 90.8119470033529\n",
      "20190212 91.23589487087666\n",
      "20190213 91.06383651189665\n",
      "20190214 90.98902848285698\n",
      "20190215 90.35606177178528\n",
      "20190218 91.2795696366634\n",
      "20190219 89.4898384332408\n",
      "20190220 91.09599097951488\n",
      "20190221 90.85670749517124\n",
      "20190225 89.83067289335266\n",
      "20190226 91.49590556512155\n",
      "20190227 91.6326915926331\n",
      "20190228 92.48822014346973\n",
      "20190301 93.03861525933378\n",
      "20190304 93.16616174820653\n",
      "20190305 93.14263875443767\n",
      "20190306 92.78408411199813\n",
      "20190307 92.82669355755267\n",
      "20190308 93.2579193892459\n",
      "20190311 92.10068500281209\n",
      "20190312 93.38006401292347\n",
      "20190313 94.13015407683139\n",
      "20190314 93.41021298442934\n",
      "20190315 92.83640735839788\n",
      "20190318 92.08977541249511\n",
      "20190319 92.13158482653374\n",
      "20190320 90.86679807492924\n",
      "20190321 90.86866184015227\n",
      "20190322 89.58043509697472\n",
      "20190325 90.81097889982\n",
      "20190326 91.12560609275151\n",
      "20190327 90.89277465334045\n",
      "20190328 90.38101718087083\n",
      "20190329 88.94138494342513\n",
      "20190401 88.59370979444009\n",
      "20190402 87.69683816074621\n",
      "20190403 87.63381738832072\n",
      "20190404 87.63381738832071\n",
      "20190408 87.8951461922753\n",
      "20190409 86.80702603884723\n",
      "20190410 88.11276482205486\n",
      "20190411 88.12641300824464\n",
      "20190412 87.50558497665422\n",
      "20190415 88.20372288699508\n",
      "20190416 88.1936434284553\n",
      "20190417 86.52478649632138\n",
      "20190418 87.307110176129\n",
      "20190419 87.13153926910458\n",
      "20190422 85.19432952136434\n",
      "20190423 85.6129020960085\n",
      "20190424 85.48866420895983\n",
      "20190425 86.72157779136711\n",
      "20190426 87.33008851907341\n",
      "20190429 87.55726772425349\n",
      "20190430 88.79617520877422\n",
      "20190506 89.25427233089717\n",
      "20190507 89.68375743614882\n",
      "20190508 89.00021443918286\n",
      "20190509 88.41153755459015\n",
      "20190510 88.01910754233185\n",
      "20190513 87.85347516215957\n",
      "20190514 88.48708005436518\n",
      "20190515 88.03428232700273\n",
      "20190516 87.56471974605549\n",
      "20190517 88.98743518085922\n",
      "20190520 88.42976510834158\n",
      "20190521 89.18894509864806\n",
      "20190522 88.17184281223186\n",
      "20190523 87.92333413049504\n",
      "20190524 87.94787798843137\n",
      "20190527 87.23488835414634\n",
      "20190528 87.48940501982051\n",
      "20190529 86.07874405128766\n",
      "20190530 86.75344698167413\n",
      "20190531 86.3839935570655\n",
      "20190603 85.61117318830532\n",
      "20190604 86.23799709570281\n",
      "20190605 86.85963727275232\n",
      "20190606 86.08642654647626\n",
      "20190610 85.36470508953887\n",
      "20190611 86.21669823570906\n",
      "20190612 86.45416871534225\n",
      "20190613 87.44373958866774\n",
      "20190614 86.45919201098664\n",
      "20190617 86.24941940864389\n",
      "20190618 86.10617280248921\n",
      "20190619 86.10617280248923\n",
      "20190620 86.12243949632605\n",
      "20190621 86.83760711328678\n",
      "20190624 86.75923778332378\n",
      "20190625 86.42646524219136\n",
      "20190626 86.33079653227477\n",
      "20190627 85.35911263801857\n",
      "20190628 84.78543026681429\n",
      "20190701 85.41954546056478\n",
      "20190702 85.25642237189852\n",
      "20190703 84.96592879355889\n",
      "20190704 86.57062155094583\n",
      "20190705 85.65100605868604\n",
      "20190708 84.71362034228807\n",
      "20190709 84.71362034228808\n",
      "20190710 85.3081546025561\n",
      "20190711 84.76765896959735\n",
      "20190712 85.40229472644268\n",
      "20190715 86.12171619014437\n",
      "20190716 86.48711496349632\n",
      "20190717 86.26575738745473\n",
      "20190718 87.03367485781625\n",
      "20190719 87.5872215279559\n",
      "20190722 88.8959226136795\n",
      "20190723 88.96221351018589\n",
      "20190724 89.42129474607752\n",
      "20190725 88.81690934338008\n",
      "20190726 89.6719905835847\n",
      "20190729 90.16024377481357\n",
      "20190730 89.06729067144208\n",
      "20190731 89.24059056499058\n",
      "20190801 88.72186639434418\n",
      "20190802 87.58881337976358\n",
      "20190805 86.99289095968687\n",
      "20190806 87.2998384481279\n",
      "20190807 87.8885341109098\n",
      "20190808 86.31722073353819\n",
      "20190809 87.00877077912452\n",
      "20190812 88.7982915675762\n",
      "20190813 88.49464215849727\n",
      "20190814 88.53106774393507\n",
      "20190815 89.57326696221973\n",
      "20190816 88.9779231656083\n",
      "20190819 88.78170988588118\n",
      "20190820 89.09759960747891\n",
      "20190821 88.29183033592405\n",
      "20190822 89.16106536095047\n",
      "20190823 88.23895752459663\n",
      "20190826 88.23895752459661\n",
      "20190827 89.38341255405878\n",
      "20190828 89.4298591709258\n",
      "20190829 90.11316463663965\n",
      "20190830 91.24822355076181\n",
      "20190902 91.825554972874\n",
      "20190903 92.55695922524094\n",
      "20190904 93.33421972772778\n",
      "20190905 94.12729627856484\n",
      "20190906 94.43967516455022\n",
      "20190909 94.1076928204716\n",
      "20190910 95.00944025504192\n",
      "20190912 95.125747311586\n",
      "20190916 94.98453498238138\n",
      "20190917 96.1440679298888\n",
      "20190918 97.00600792975902\n",
      "20190919 97.09406754831497\n",
      "20190920 97.80190374241154\n",
      "20190923 97.84203902446966\n",
      "20190924 99.08007356756252\n",
      "20190925 99.1852328267244\n",
      "20190926 98.45607571176205\n",
      "20190927 97.949051891103\n",
      "20190930 98.77491816868152\n",
      "20191008 97.07099431039796\n",
      "20191009 96.17945068347935\n",
      "20191010 96.86923441528225\n",
      "20191011 95.80391390491592\n",
      "20191014 94.53562294172865\n",
      "20191015 94.39468536184093\n",
      "20191016 93.52282171312504\n",
      "20191017 91.02129102585891\n",
      "20191018 90.58313785165556\n",
      "20191021 90.50188996197195\n",
      "20191022 91.16349387847323\n",
      "20191023 91.00780825175636\n",
      "20191024 90.34851190948733\n",
      "20191025 90.63433588056502\n",
      "20191028 90.03988405828002\n",
      "20191029 90.03988405828004\n",
      "20191030 90.65944800215546\n",
      "20191031 90.43775996557866\n",
      "20191101 90.78849775822502\n",
      "20191104 89.84885457574065\n",
      "20191105 90.46270650163989\n",
      "20191106 90.53559206490758\n",
      "20191107 91.3069784229231\n",
      "20191108 91.3306221362368\n",
      "20191111 92.0973985298537\n",
      "20191112 92.19608989539786\n",
      "20191113 92.88648492628086\n",
      "20191114 93.14273670757\n",
      "20191115 92.46075373316332\n",
      "20191118 94.24163650308537\n",
      "20191119 93.2777659966394\n",
      "20191120 91.42795930774277\n",
      "20191121 90.99326088970187\n",
      "20191122 90.99326088970189\n",
      "20191125 89.8859326451289\n",
      "20191126 89.68267495014167\n",
      "20191127 90.47713664099177\n",
      "20191128 91.05057519596168\n",
      "20191129 92.31101254297535\n",
      "20191202 93.10434309774654\n",
      "20191203 93.42375440530526\n",
      "20191204 93.24621253658196\n",
      "20191205 93.62364160446761\n",
      "20191206 93.54381265227244\n",
      "20191209 93.12538620495438\n",
      "20191210 93.12538620495437\n",
      "20191211 93.45210857860071\n",
      "20191212 94.00339224969429\n",
      "20191213 92.61477817564834\n",
      "20191216 93.10516364787132\n",
      "20191217 93.61912572878789\n",
      "20191218 91.8112844783985\n",
      "20191219 93.22510566969224\n",
      "20191220 93.60869339933913\n",
      "20191223 92.40940464205566\n",
      "20191225 94.1716025008091\n",
      "20191226 94.44349555064893\n",
      "20191227 94.44349555064892\n",
      "20191230 94.0413420980644\n",
      "20191231 93.80967570198915\n",
      "20200102 93.81983037240808\n",
      "20200103 92.81594512762646\n",
      "20200106 93.2723065691104\n",
      "20200107 94.03221765930414\n",
      "20200108 92.6784697849656\n",
      "20200109 91.65236614471496\n",
      "20200110 91.46984357453756\n",
      "20200113 93.03330261221551\n",
      "20200114 93.42232452745564\n",
      "20200115 92.11474931849129\n",
      "20200116 94.15578234957489\n",
      "20200117 93.29004801198101\n",
      "20200120 92.90925905636425\n",
      "20200121 93.49404455218924\n",
      "20200122 93.34067750191323\n",
      "20200123 95.34990074495926\n",
      "20200203 94.80620100250492\n",
      "20200204 95.71915387872485\n",
      "20200205 95.18706976402457\n",
      "20200206 95.04691042531782\n",
      "20200207 95.34760562194886\n",
      "20200210 96.19612947177646\n",
      "20200211 96.88315194170218\n",
      "20200212 96.59428883342503\n",
      "20200213 96.50257092057193\n",
      "20200214 95.62702318278969\n",
      "20200217 95.35377487756303\n",
      "20200218 95.55462090413337\n",
      "20200219 96.49091226971589\n",
      "20200220 95.85965479045807\n",
      "20200221 96.32512218277523\n",
      "20200224 95.2686613860293\n",
      "20200225 94.51847132351318\n",
      "20200226 95.35305734353237\n",
      "20200227 93.98257223556836\n",
      "20200228 93.49100058110854\n",
      "20200302 92.90476665994518\n",
      "20200303 91.98486854175552\n",
      "20200304 90.53001207007524\n",
      "20200305 88.66471074552298\n",
      "20200306 88.66194273610886\n",
      "20200309 88.72122981986901\n",
      "20200310 88.42482746152646\n"
     ]
    }
   ],
   "source": [
    "haoil = estimate_table(\"20190101\", \"20200310\", (\"real\", {\"F160416\": 100}), (\"est\",  {\"520\": 90}),\n",
    "                      float_holdings=True, window=4, decay=0.8, smooth=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.2316632707891009 \n",
      "标准差偏离：  0.3394105216535918\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -1.052 \n",
      "5% 分位:  -0.411 \n",
      "25% 分位:  -0.144 \n",
      "50% 分位:  -0.004 \n",
      "75% 分位:  0.177 \n",
      "95% 分位:  0.489 \n",
      "99% 分位:  0.78\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.28 \n",
      "预测涨的比实际多:  0.24 \n",
      "预测跌的比实际多:  0.22 \n",
      "预测跌的比实际少:  0.26\n"
     ]
    }
   ],
   "source": [
    "analyse_all(haoil, \"diff_real_est\") # 替代预测效果很一般，浮动还是固定仓都很一般"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "haoil = estimate_table(\"20190101\", \"20200310\", (\"real\", {\"F160416\": 100}), (\"est\",  {\"SP5475707.2\": 90}),\n",
    "                    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.10336445485275023 \n",
      "标准差偏离：  0.13535653835908334\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.34 \n",
      "5% 分位:  -0.193 \n",
      "25% 分位:  -0.07 \n",
      "50% 分位:  0.008 \n",
      "75% 分位:  0.094 \n",
      "95% 分位:  0.216 \n",
      "99% 分位:  0.346\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.33 \n",
      "预测涨的比实际多:  0.2 \n",
      "预测跌的比实际多:  0.2 \n",
      "预测跌的比实际少:  0.28\n"
     ]
    }
   ],
   "source": [
    "analyse_all(haoil, \"diff_real_est\")  # 还得是真实指数更靠谱"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "haoil = estimate_table(\"20200301\", \"20200320\", (\"real\", {\"F160416\": 100}), (\"est\",  {\"SP5475707.2\": 70}),\n",
    "                    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  1.5458828787019208 \n",
      "标准差偏离：  2.2193865761580227\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -3.947 \n",
      "5% 分位:  -3.401 \n",
      "25% 分位:  -0.44 \n",
      "50% 分位:  -0.025 \n",
      "75% 分位:  0.615 \n",
      "95% 分位:  3.82 \n",
      "99% 分位:  4.444\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.21 \n",
      "预测涨的比实际多:  0.21 \n",
      "预测跌的比实际多:  0.29 \n",
      "预测跌的比实际少:  0.29\n"
     ]
    }
   ],
   "source": [
    "analyse_all(haoil, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20200204 89.92132688797578\n",
      "20200205 90.06334525873646\n",
      "20200206 90.19716053487194\n",
      "20200207 90.57167851883504\n",
      "20200210 90.99863370283633\n",
      "20200211 90.40637636173336\n",
      "20200212 90.14666893597725\n",
      "20200213 88.01434330854921\n",
      "20200214 88.22330047103434\n",
      "20200217 88.04983662440671\n",
      "20200218 86.34798651510654\n",
      "20200219 87.96547680684772\n",
      "20200220 89.1531185122205\n",
      "20200221 87.64133100549118\n",
      "20200224 87.20815211376346\n",
      "20200225 87.7095658833157\n",
      "20200226 89.82478211996911\n",
      "20200227 88.10417162396567\n",
      "20200228 87.98874272050105\n",
      "20200302 86.78685978084376\n",
      "20200303 86.45581600882458\n",
      "20200304 84.37036271557437\n",
      "20200305 85.16944967796478\n",
      "20200306 87.03338491656781\n",
      "20200309 86.41159528899864\n",
      "20200310 86.03814854417271\n",
      "20200311 86.32912099962472\n",
      "20200312 85.6553009674062\n",
      "20200313 83.38038616628951\n",
      "20200316 79.80389912361746\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../lof/predict.py:105: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ratio = realf / estf\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20200318 77.50509134092462\n",
      "20200319 76.34762184544849\n",
      "20200320 74.85602023693059\n"
     ]
    }
   ],
   "source": [
    "haoil = estimate_table(\"20200201\", \"20200320\", (\"real\", {\"F160416\": 100}), (\"est\",  {\"SP5475707.2\": 90}),\n",
    "                    float_holdings=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.7649936814692555 \n",
      "标准差偏离：  1.7554039097702738\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -2.996 \n",
      "5% 分位:  -0.715 \n",
      "25% 分位:  -0.131 \n",
      "50% 分位:  0.016 \n",
      "75% 分位:  0.171 \n",
      "95% 分位:  4.636 \n",
      "99% 分位:  5.914\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.21 \n",
      "预测涨的比实际多:  0.18 \n",
      "预测跌的比实际多:  0.35 \n",
      "预测跌的比实际少:  0.26\n"
     ]
    }
   ],
   "source": [
    "analyse_all(haoil, \"diff_real_est\")  # 浮动仓没啥区别"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 测试浮动仓位的渐进行为"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190103 98.998011150905\n",
      "20190104 99.13433420433203\n",
      "20190107 99.32331625311409\n",
      "20190108 99.691902335422\n",
      "20190109 100.0\n",
      "20190110 96.92323174237059\n",
      "20190111 97.1019425677503\n",
      "20190114 97.5798411421276\n",
      "20190115 97.71198255900691\n",
      "20190116 97.1365365226914\n",
      "20190117 97.38370239104492\n",
      "20190118 97.51482135780323\n",
      "20190121 97.60080362836045\n",
      "20190122 97.10693694452911\n",
      "20190123 97.23149449432826\n",
      "20190124 97.53955577789067\n",
      "20190125 98.20240064688953\n",
      "20190128 98.26865065565114\n",
      "20190129 98.81678255580867\n",
      "20190130 97.40995861312274\n",
      "20190131 98.8094389139682\n",
      "20190201 98.11076085899879\n",
      "20190211 97.91622660360242\n",
      "20190212 98.20763959378486\n",
      "20190213 98.76761533484756\n",
      "20190214 98.6675843689077\n",
      "20190215 98.05451454065582\n",
      "20190218 97.71865178050366\n",
      "20190219 97.8648340189131\n",
      "20190220 97.92001467231408\n",
      "20190221 96.41545072018585\n",
      "20190222 95.86874509375932\n",
      "20190225 95.51552799111002\n",
      "20190226 97.865549765494\n",
      "20190227 97.59879461047939\n",
      "20190228 96.73549848722095\n",
      "20190301 96.20679499080065\n",
      "20190304 95.85050798768998\n",
      "20190305 96.51710148399373\n",
      "20190306 95.61531279063942\n",
      "20190307 95.66181972720395\n",
      "20190308 94.72172054794582\n",
      "20190311 93.9921122067115\n",
      "20190312 96.17728390389627\n",
      "20190313 96.0067728258366\n",
      "20190315 95.67427416353172\n",
      "20190318 95.46123788995901"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../lof/predict.py:108: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ratio = realf / estf\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "20190319 95.1823615790699\n",
      "20190320 95.66499966773793\n",
      "20190321 95.14401647761864\n",
      "20190322 95.0787269888551\n",
      "20190325 94.40631744470342\n",
      "20190326 95.74319976611889\n",
      "20190327 95.80710111535338\n",
      "20190328 95.95306841568566\n",
      "20190329 95.87594618583041\n",
      "20190401 96.44916835341517\n",
      "20190402 96.87302063893122\n",
      "20190403 98.24421746283546\n",
      "20190404 97.59128615658129\n",
      "20190408 98.31583290523628\n",
      "20190409 99.90732477935885\n",
      "20190410 99.99999999999999\n",
      "20190411 98.68787251255692\n",
      "20190412 97.34673348581427\n",
      "20190415 97.2926635429898\n",
      "20190416 97.89089542143985\n",
      "20190417 98.23154904127846\n",
      "20190418 96.87378692011481\n",
      "20190419 96.69495672079772\n",
      "20190422 96.25902590607667\n",
      "20190423 94.42659451670407\n",
      "20190424 98.10505120134621\n",
      "20190425 97.70517227339467\n",
      "20190426 98.21451987169664\n",
      "20190429 97.26345179763447\n",
      "20190430 98.65915169666056\n",
      "20190506 97.61449240768482\n",
      "20190507 97.2977714978251\n",
      "20190508 97.81026821104214\n",
      "20190509 97.97235278262788\n",
      "20190510 98.8559335122075\n",
      "20190513 97.97518550008287\n",
      "20190514 98.35958747108299\n",
      "20190515 98.36869906298752\n",
      "20190516 99.01922292874488\n",
      "20190517 99.89230245681202\n",
      "20190520 97.35840373036316\n",
      "20190521 96.84323777675381\n",
      "20190522 96.84646288396627\n",
      "20190523 96.50890065020837\n",
      "20190524 98.39651681317189\n",
      "20190527 97.11202449990235\n",
      "20190528 97.15961760424284\n",
      "20190529 96.9985054040193\n",
      "20190530 97.20529782025815\n",
      "20190531 97.89772466077034\n",
      "20190603 95.079237765087\n",
      "20190604 95.75290210754066\n",
      "20190605 96.01968274324392\n",
      "20190606 95.81048099152949\n",
      "20190610 94.98136508328678\n",
      "20190611 94.20318773114975\n",
      "20190612 94.44339651679529\n",
      "20190613 94.19148058071984\n",
      "20190614 92.9379228037595\n",
      "20190617 94.00042623111857\n",
      "20190618 94.24416076009172\n",
      "20190619 93.4132032592097\n",
      "20190620 92.8223672868978\n",
      "20190621 92.37342837172643\n",
      "20190624 91.47635593269149\n",
      "20190625 89.25362619144192\n",
      "20190626 91.47233177671075\n",
      "20190627 89.40642342224649\n",
      "20190628 88.28495959967823\n",
      "20190701 89.3444740708391\n",
      "20190702 90.06218221505881\n",
      "20190703 89.64570545529821\n",
      "20190704 92.88990049732777\n",
      "20190705 92.29320472932389\n",
      "20190708 91.12421316846637\n",
      "20190709 91.28087180009618\n",
      "20190710 91.92788546614084\n",
      "20190711 93.62059133685248\n",
      "20190712 93.29561262952542\n",
      "20190715 94.7558660199951\n",
      "20190716 93.53204995197756\n",
      "20190717 94.09948818980956\n",
      "20190718 96.01824685816759\n",
      "20190719 95.95742492427736\n",
      "20190722 95.68681905905666\n",
      "20190723 94.36680325744679\n",
      "20190724 94.66744514978143\n",
      "20190725 95.07721739168942\n",
      "20190726 96.87711465361386\n",
      "20190729 98.11890520654437\n",
      "20190730 100.0\n",
      "20190731 99.3555310842712\n",
      "20190801 99.47957830769663\n",
      "20190802 97.84513427110195\n",
      "20190805 97.07791330055645\n",
      "20190806 96.03227117899891\n",
      "20190807 96.18023890674618\n",
      "20190808 94.23935606901794\n",
      "20190809 95.5659993844393\n",
      "20190812 97.4663116439416\n",
      "20190813 96.06179517624155\n",
      "20190814 96.57520203559808\n",
      "20190815 96.5837420381924\n",
      "20190816 97.42808920027322\n",
      "20190819 96.09047594994678\n",
      "20190820 95.69052441102286\n",
      "20190821 95.37520169452475\n",
      "20190822 95.69774799171263\n",
      "20190823 95.52803287061758\n",
      "20190826 93.20233767253818\n",
      "20190827 94.73963104862277\n",
      "20190828 97.12583705526335\n",
      "20190829 95.53457129707357\n",
      "20190830 92.62723217081087\n",
      "20190902 95.97458604177231\n",
      "20190903 96.09954329979504\n",
      "20190904 97.17555481580845\n",
      "20190905 94.72846498210103\n",
      "20190906 93.82102615444056\n",
      "20190909 95.48942347992543\n",
      "20190910 95.48942347992542\n",
      "20190911 93.93109014843797\n",
      "20190912 92.87227328428004\n",
      "20190916 92.82763954420929\n",
      "20190917 95.05172818042588\n",
      "20190918 95.66522549388704\n",
      "20190919 94.97137076149995\n",
      "20190920 94.89758030683682\n",
      "20190923 95.35327569296126\n",
      "20190924 96.12807822056983\n",
      "20190925 96.07143459210988\n",
      "20190926 95.62876525332753\n",
      "20190927 96.37452982149532\n",
      "20190930 95.82632855518864\n",
      "20191008 95.58258509084742\n",
      "20191009 95.51647171053949\n",
      "20191010 98.75380108403442\n",
      "20191011 96.57224720225125\n",
      "20191014 96.16056531671477\n",
      "20191015 95.92361382183962\n",
      "20191016 97.00539284221581\n",
      "20191017 96.4163749468147\n",
      "20191018 97.18488314718402\n",
      "20191021 98.76533592556817\n",
      "20191022 97.65038273599167\n",
      "20191023 98.90548275492318\n",
      "20191024 96.03856269068196\n",
      "20191025 95.83833679420597\n",
      "20191028 97.47213656899109\n",
      "20191029 98.39597653617899\n",
      "20191030 97.94376532681734\n",
      "20191031 98.56215756545743\n",
      "20191101 99.8644462313409\n",
      "20191104 99.71077007647662\n",
      "20191105 98.38987774096073\n",
      "20191106 98.50019898578817\n",
      "20191107 98.71994329203514\n",
      "20191108 98.07941609276853\n",
      "20191111 98.30947550140378\n",
      "20191112 96.29207528652896\n",
      "20191113 95.4489895446411\n",
      "20191114 93.77118450152136\n",
      "20191115 95.42906128769687\n",
      "20191118 93.8036393762692\n",
      "20191119 96.03667924505316\n",
      "20191120 95.01186755973671\n",
      "20191121 94.99148227234855\n",
      "20191122 95.61349385380937\n",
      "20191125 95.21423320422713\n",
      "20191126 95.41771136568647\n",
      "20191127 95.32893924051837\n",
      "20191128 94.24915052590671\n",
      "20191129 93.13442767845231\n",
      "20191202 96.75327034159778\n",
      "20191203 95.7835577443651\n",
      "20191204 92.229167032951\n",
      "20191205 95.23872790031396\n",
      "20191206 95.47172505864944\n",
      "20191209 97.62344767179466\n",
      "20191210 94.81442142615144\n",
      "20191211 93.89301870968062\n",
      "20191212 95.08271148654492\n",
      "20191213 95.13511739070832\n",
      "20191216 95.66472951451563\n",
      "20191217 95.18153411410228\n",
      "20191218 94.9297240039535\n",
      "20191219 95.03964740682322\n",
      "20191220 94.65778492170817\n",
      "20191223 96.11805102606617\n",
      "20191224 96.24667671564349\n",
      "20191225 96.76143547635543\n",
      "20191226 96.83354468740856\n",
      "20191227 97.14742116380549\n",
      "20191230 94.9070401904274\n",
      "20191231 94.48877472816402\n",
      "20200102 92.89774670667182\n",
      "20200103 95.88497133063368\n",
      "20200106 95.36128333799104\n",
      "20200107 93.91622045827137\n",
      "20200108 92.6461331742685\n",
      "20200109 93.87868873285372\n",
      "20200110 94.00948840341148\n",
      "20200113 93.74344025838313\n",
      "20200114 93.07473386900506\n",
      "20200115 92.60551133395929\n",
      "20200116 93.2920440864787\n",
      "20200117 93.25273098995116\n",
      "20200120 93.13583617742864\n",
      "20200121 94.45195360331434\n",
      "20200122 95.23552796261242\n",
      "20200123 96.79584526015093\n",
      "20200203 97.08368785797877\n",
      "20200204 95.50110891193394\n",
      "20200205 94.50247498171147\n",
      "20200206 94.39689122447953\n",
      "20200207 93.96526660306931\n",
      "20200210 92.57102186527716\n",
      "20200211 91.0391361879991\n",
      "20200212 89.14273465512001\n",
      "20200213 90.5652291149273\n",
      "20200214 89.16266672913679\n",
      "20200217 87.02366960314446\n",
      "20200218 86.93582921411002\n",
      "20200219 86.38452345836215\n",
      "20200220 86.62199334935622\n",
      "20200221 85.98498661524492\n",
      "20200224 89.05230555956066\n",
      "20200225 87.06568691203636\n",
      "20200226 87.46321280180729\n",
      "20200227 86.5990387450102\n",
      "20200228 87.17118123229557\n",
      "20200302 86.71389630767548\n",
      "20200303 86.27409887893536\n",
      "20200304 86.41934747150903\n",
      "20200305 87.00902316848197\n",
      "20200306 88.61143638018807\n",
      "20200309 90.00418632128252\n",
      "20200310 88.15993653658315\n",
      "20200311 87.30281952012277\n",
      "20200312 86.23128722334133\n",
      "20200313 84.58437537616395\n",
      "20200316 81.49969255269298\n",
      "20200317 79.22571829980201\n"
     ]
    }
   ],
   "source": [
    "jsyy=\\\n",
    "estimate_table(\"20190101\", \"20200317\", (\"real\", {\"F160723\": 100}), (\"est\", holdings[\"160723\"]), float_holdings=True)\n",
    "## 79"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "jsyy=\\\n",
    "estimate_table(\"20200101\", \"20200317\", (\"real\", {\"F160723\": 100}), (\"est\", holdings[\"160723\"]), float_holdings=True)\n",
    "# 79 所以有两个月足够了"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 调节浮动仓位的超参"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.3102546169014142 \n",
      "标准差偏离：  0.6595336841739304\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -1.383 \n",
      "5% 分位:  -1.068 \n",
      "25% 分位:  -0.07 \n",
      "50% 分位:  -0.007 \n",
      "75% 分位:  0.069 \n",
      "95% 分位:  0.951 \n",
      "99% 分位:  2.482\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.06 \n",
      "预测涨的比实际多:  0.3 \n",
      "预测跌的比实际多:  0.34 \n",
      "预测跌的比实际少:  0.3\n"
     ]
    }
   ],
   "source": [
    "analyse_all(jsyy, \"diff_real_est\") # 在仓位巨变的情况下，浮动仓位预测准确性大幅上升"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "jsyy=\\\n",
    "estimate_table(\"20200101\", \"20200317\", (\"real\", {\"F160723\": 100}), (\"est\", holdings[\"160723\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.5139938766873343 \n",
      "标准差偏离：  1.0234878205057947\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -1.97 \n",
      "5% 分位:  -0.574 \n",
      "25% 分位:  -0.079 \n",
      "50% 分位:  0.05 \n",
      "75% 分位:  0.25 \n",
      "95% 分位:  1.717 \n",
      "99% 分位:  3.925\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.02 \n",
      "预测涨的比实际多:  0.34 \n",
      "预测跌的比实际多:  0.53 \n",
      "预测跌的比实际少:  0.11\n"
     ]
    }
   ],
   "source": [
    "analyse_all(jsyy, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20200103 98.40920667693318\n",
      "20200106 97.64853514951241\n",
      "20200107 96.62523556281496\n",
      "20200108 95.15401686708452\n",
      "20200109 93.0823814868199\n",
      "20200110 93.36443546932975\n",
      "20200113 93.11216029576838\n",
      "20200114 91.27013083061011\n",
      "20200115 92.13050838334848\n",
      "20200116 91.59142148486188\n",
      "20200117 91.06325234221197\n",
      "20200120 96.16646465319991\n",
      "20200121 99.84629272643697\n",
      "20200122 99.99999999999999\n",
      "20200123 100.00000000000003\n",
      "20200203 96.29661772963763\n",
      "20200204 92.26665630352407\n",
      "20200205 93.50409512818467\n",
      "20200206 89.94835094303721\n",
      "20200207 85.88148943436546\n",
      "20200210 83.4463279162062\n",
      "20200211 78.78541461154028\n",
      "20200212 83.13619172865776\n",
      "20200213 79.95897641886171\n",
      "20200214 76.81147545782146\n",
      "20200217 75.55999514008762\n",
      "20200218 76.4799222401603\n",
      "20200219 75.6369490310907\n",
      "20200220 75.623577001374\n",
      "20200221 86.32632227780684\n",
      "20200224 83.59299231836273\n",
      "20200225 85.43632206375919\n",
      "20200226 83.91234854574422\n",
      "20200227 86.9878170010383\n",
      "20200228 83.10182678087973\n",
      "20200302 82.47401722714106\n",
      "20200303 83.38535021874404\n",
      "20200304 86.13184793730808\n",
      "20200305 90.40385072561526\n",
      "20200306 95.30399675201251\n",
      "20200309 91.9347292911875\n",
      "20200310 89.8274011221422\n",
      "20200311 86.08059020624405\n",
      "20200312 80.03967138790792\n",
      "20200313 70.07407118095644\n",
      "20200316 64.53761156946534\n",
      "20200317 62.16971931143681\n"
     ]
    }
   ],
   "source": [
    "jsyy=\\\n",
    "estimate_table(\"20200101\", \"20200317\", (\"real\", {\"F160723\": 100}),\n",
    "               (\"est\", holdings[\"160723\"]), float_holdings=True,  window=4, decay=0.65, smooth=0.6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.3030265858700378 \n",
      "标准差偏离：  0.6305422687037667\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -1.448 \n",
      "5% 分位:  -0.29 \n",
      "25% 分位:  -0.071 \n",
      "50% 分位:  -0.006 \n",
      "75% 分位:  0.111 \n",
      "95% 分位:  1.297 \n",
      "99% 分位:  2.282\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.11 \n",
      "预测涨的比实际多:  0.26 \n",
      "预测跌的比实际多:  0.38 \n",
      "预测跌的比实际少:  0.26\n"
     ]
    }
   ],
   "source": [
    "analyse_all(jsyy, \"diff_real_est\") # 2020 SOTA 0.26 0.53 window=3, decay=0.7, smooth=0.6\n",
    "#2019 SOTA 0.09 0.135  window=4, decay=0.65, smooth=0.2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20200103 93.45665232707752\n",
      "20200106 93.51791428472517\n",
      "20200107 93.5520801679379\n",
      "20200108 93.66822034810588\n",
      "20200109 93.30883359089702\n",
      "20200110 92.58731785691867\n",
      "20200113 91.69075781817025\n",
      "20200114 89.60552641051424\n",
      "20200115 88.69825004960039\n",
      "20200116 88.2053335988735\n",
      "20200117 87.91742762155187\n",
      "20200120 90.39437404355327\n",
      "20200121 91.96893139296083\n",
      "20200122 92.95730053434691\n",
      "20200123 95.8519902704606\n",
      "20200203 95.26656120900611\n",
      "20200204 92.29800617194215\n",
      "20200205 92.37057678788422\n",
      "20200206 90.81708290720317\n",
      "20200207 87.13760505389847\n",
      "20200210 85.85909407258791\n",
      "20200211 82.9640141805221\n",
      "20200212 83.06792602093726\n",
      "20200213 79.60366262516155\n",
      "20200214 77.42560684761044\n",
      "20200217 76.49471700799037\n",
      "20200218 77.00261147197513\n",
      "20200219 77.75406518838784\n",
      "20200220 80.54352300480772\n",
      "20200221 82.47785873914064\n",
      "20200224 81.06854400234613\n",
      "20200225 83.30907585665355\n",
      "20200226 82.21006333173082\n",
      "20200227 84.45929050470774\n",
      "20200228 88.04085927902116\n",
      "20200302 86.828801560879\n",
      "20200303 87.06842714989392\n",
      "20200304 87.20393662286146\n",
      "20200305 85.5647472762889\n",
      "20200306 86.10974509660099\n",
      "20200309 85.65184977513036\n",
      "20200310 83.40536321307515\n",
      "20200311 80.80832316630564\n",
      "20200312 78.9781298662052\n",
      "20200313 73.55456223974132\n",
      "20200316 73.28924350637332\n",
      "20200317 74.40963966730133\n",
      "20200318 75.86500405727163\n"
     ]
    }
   ],
   "source": [
    "nfyy=\\\n",
    "estimate_table(\"20200101\", \"20200318\", (\"real\", {\"F501018\": 100}),\n",
    "               (\"est\", holdings[\"501018\"]), float_holdings=True, window=4, decay=0.65, smooth=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.42852850497808187 \n",
      "标准差偏离：  0.870009892781402\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -3.637 \n",
      "5% 分位:  -0.763 \n",
      "25% 分位:  -0.219 \n",
      "50% 分位:  0.006 \n",
      "75% 分位:  0.123 \n",
      "95% 分位:  0.825 \n",
      "99% 分位:  1.407\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.19 \n",
      "预测涨的比实际多:  0.21 \n",
      "预测跌的比实际多:  0.35 \n",
      "预测跌的比实际少:  0.25\n"
     ]
    }
   ],
   "source": [
    "analyse_all(nfyy, \"diff_real_est\") # SOTA 2019 0.129 0.188 window = 5\n",
    "# SOTA 2020 0.41 0.83 window=5/4, decay=0.65, smooth=0.2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "jsyy=\\\n",
    "estimate_table_with_pos(\"20200101\", \"20200317\", (\"real\", {\"F160723\": 100}),\n",
    "               (\"est\", holdings[\"160723\"]), pos=0.94, window=3, decay=0.8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.2538763052395668 \n",
      "标准差偏离：  0.4870486171347755\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -1.225 \n",
      "5% 分位:  -0.249 \n",
      "25% 分位:  -0.056 \n",
      "50% 分位:  -0.005 \n",
      "75% 分位:  0.132 \n",
      "95% 分位:  1.166 \n",
      "99% 分位:  1.507\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.15 \n",
      "预测涨的比实际多:  0.21 \n",
      "预测跌的比实际多:  0.34 \n",
      "预测跌的比实际少:  0.3\n"
     ]
    }
   ],
   "source": [
    "analyse_all(jsyy, \"diff_real_est\") \n",
    "# 20200101 0317 SOTA 0.26 0.53 window=3, decay=0.7, smooth=0.6\n",
    "#2019 SOTA 0.09 0.135  window=4, decay=0.65, smooth=0.2\n",
    "\n",
    "## new approach 2020 0.254 0.487 window=3, decay=0.8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def smooth_pos(r, e, o):\n",
    "    pos = r/e\n",
    "    if pos <= 0:\n",
    "        return o\n",
    "    if pos > 1:\n",
    "        pos = 1\n",
    "    elif pos < 0.5:\n",
    "        pos = pos ** 0.6\n",
    "\n",
    "    if abs(r) < 1:\n",
    "        pos = (pos + (3-3*abs(r))*o)/(4-3*abs(r))\n",
    "\n",
    "    return pos\n",
    "\n",
    "gtsp=\\\n",
    "estimate_table_with_pos(\"20200101\", \"20200324\", (\"real\", {\"F160216\": 100}),\n",
    "               (\"est\", holdings[\"160216\"]), pos=0.94, window=3, decay=0.8, smooth=smooth_pos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.28339514803858534 \n",
      "标准差偏离：  0.4909722047292374\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -1.736 \n",
      "5% 分位:  -0.682 \n",
      "25% 分位:  -0.152 \n",
      "50% 分位:  -0.053 \n",
      "75% 分位:  0.166 \n",
      "95% 分位:  0.498 \n",
      "99% 分位:  1.167\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.1 \n",
      "预测涨的比实际多:  0.27 \n",
      "预测跌的比实际多:  0.33 \n",
      "预测跌的比实际少:  0.31\n"
     ]
    }
   ],
   "source": [
    "analyse_all(gtsp, \"diff_real_est\")  # 0.283 0.49"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x12016a438>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gtsp.plot(x=\"date\", y=[\"estpos\", \"estposld\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "gtsp=\\\n",
    "estimate_table_with_pos(\"20190101\", \"20200305\", (\"real\", {\"F160216\": 100}), (\"est\", holdings[\"160216\"]),\n",
    "                       pos=0.9, window=3, decay=0.8, smooth=smooth_pos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "净值预测回测分析:\n",
      "\n",
      "\n",
      "平均偏离:  0.11508219285292358 \n",
      "标准差偏离：  0.15686811933164138\n",
      "\n",
      "预测偏差分位: \n",
      "1% 分位:  -0.348 \n",
      "5% 分位:  -0.22 \n",
      "25% 分位:  -0.105 \n",
      "50% 分位:  -0.022 \n",
      "75% 分位:  0.079 \n",
      "95% 分位:  0.225 \n",
      "99% 分位:  0.403\n",
      "\n",
      "涨跌偏差分析: \n",
      "预测涨的比实际少:  0.23 \n",
      "预测涨的比实际多:  0.35 \n",
      "预测跌的比实际多:  0.19 \n",
      "预测跌的比实际少:  0.23\n"
     ]
    }
   ],
   "source": [
    "# 0.09 0.13\n",
    "analyse_all(gtsp, \"diff_real_est\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}