{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "3815c894-a925-4564-bdba-3ad038a1009f"
    }
   },
   "source": [
    "# Sources of Open Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "nbpresent": {
     "id": "6c235aee-a104-44a1-a84a-fc5fbaa45dd5"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id='toc-container'><script type='text/javascript'>\n",
       "$(function() {\n",
       "    function regenTOC(){\n",
       "        element = $(\"#toc-container\");\n",
       "\n",
       "\tvar toc = document.createElement(\"div\");\n",
       "\t$(toc).attr(\"class\", \"table-of-contents\");\n",
       "\n",
       "\tvar curLevel = 0;\n",
       "\tvar containerStack = [toc];\n",
       "\tvar levelOfTag = {\"h2\": 1, \"h3\": 2, \"h4\": 3, \"h5\": 4};\n",
       "\n",
       "\tfunction pushLevel() {\n",
       "            var list = document.createElement(\"ul\");\n",
       "            containerStack.push(list);\n",
       "            curLevel++;\n",
       "\t}\n",
       "\t\n",
       "\tfunction popLevel() {\n",
       "            var lastContainer = containerStack.pop();\n",
       "            $(lastContainer).appendTo(containerStack[containerStack.length - 1]);\n",
       "            curLevel--;\n",
       "\t}\n",
       "\t\n",
       "\t$(\".text_cell_render :header\").each(function (i, elem) {\n",
       "            var level = levelOfTag[ elem.tagName.toLowerCase() ];\n",
       "\n",
       "            if (level === undefined)\n",
       "\t\treturn;\n",
       "\n",
       "            while (curLevel < level)\n",
       "\t\tpushLevel();\n",
       "            while (curLevel > level)\n",
       "\t\tpopLevel();\n",
       "            \n",
       "            var listItem = document.createElement(\"li\");\n",
       "            var link = document.createElement(\"a\");\n",
       "            $(link)\n",
       "\t\t.text($(elem).contents().first().text()) // Remove the pilcrow sign\n",
       "\t\t.attr(\"href\", \"#\" + $(elem).attr(\"id\"))\n",
       "\t\t.appendTo(listItem);\n",
       "            $(listItem).appendTo(containerStack[containerStack.length - 1]);\n",
       "\t});\n",
       "\t\n",
       "\twhile (curLevel > 0)\n",
       "            popLevel();\n",
       "\n",
       "        $(\"<a class='btn-update' href='#'>Update</a>\")\n",
       "          .click(regenTOC).prependTo(toc);\n",
       "\n",
       "\t$(toc).prepend(\"<div class='title'>Contents</div>\")\n",
       "          .wrap(\"<div class='toc-headings'/>\");\n",
       "\n",
       "        $(element).empty();\n",
       "        $(element).append(toc);\n",
       "    }\n",
       "\n",
       "    if (typeof(IPython) !== 'undefined')\n",
       "        $([IPython.events]).on('notebook_loaded.Notebook', regenTOC);\n",
       "    regenTOC();\n",
       "});\n",
       "\n",
       "</script></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import addutils.toc ; addutils.toc.js(ipy_notebook=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "nbpresent": {
     "id": "53315710-148c-4f19-9250-303841880fc6"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"7acb6739-0007-4505-824d-f5553e7a7606\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  var JS_MIME_TYPE = 'application/javascript';\n",
       "  var HTML_MIME_TYPE = 'text/html';\n",
       "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
       "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
       "\n",
       "  /**\n",
       "   * Render data to the DOM node\n",
       "   */\n",
       "  function render(props, node) {\n",
       "    var script = document.createElement(\"script\");\n",
       "    node.appendChild(script);\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when an output is cleared or removed\n",
       "   */\n",
       "  function handleClearOutput(event, handle) {\n",
       "    var cell = handle.cell;\n",
       "\n",
       "    var id = cell.output_area._bokeh_element_id;\n",
       "    var server_id = cell.output_area._bokeh_server_id;\n",
       "    // Clean up Bokeh references\n",
       "    if (id !== undefined) {\n",
       "      Bokeh.index[id].model.document.clear();\n",
       "      delete Bokeh.index[id];\n",
       "    }\n",
       "\n",
       "    if (server_id !== undefined) {\n",
       "      // Clean up Bokeh references\n",
       "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
       "      cell.notebook.kernel.execute(cmd, {\n",
       "        iopub: {\n",
       "          output: function(msg) {\n",
       "            var element_id = msg.content.text.trim();\n",
       "            Bokeh.index[element_id].model.document.clear();\n",
       "            delete Bokeh.index[element_id];\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
       "      cell.notebook.kernel.execute(cmd);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when a new output is added\n",
       "   */\n",
       "  function handleAddOutput(event, handle) {\n",
       "    var output_area = handle.output_area;\n",
       "    var output = handle.output;\n",
       "\n",
       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
       "    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "      return\n",
       "    }\n",
       "\n",
       "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
       "      toinsert[0].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
       "      // store reference to embed id on output_area\n",
       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "    }\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "      var bk_div = document.createElement(\"div\");\n",
       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "      var script_attrs = bk_div.children[0].attributes;\n",
       "      for (var i = 0; i < script_attrs.length; i++) {\n",
       "        toinsert[0].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "      }\n",
       "      // store reference to server id on output_area\n",
       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function register_renderer(events, OutputArea) {\n",
       "\n",
       "    function append_mime(data, metadata, element) {\n",
       "      // create a DOM node to render to\n",
       "      var toinsert = this.create_output_subarea(\n",
       "        metadata,\n",
       "        CLASS_NAME,\n",
       "        EXEC_MIME_TYPE\n",
       "      );\n",
       "      this.keyboard_manager.register_events(toinsert);\n",
       "      // Render to node\n",
       "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "      render(props, toinsert[0]);\n",
       "      element.append(toinsert);\n",
       "      return toinsert\n",
       "    }\n",
       "\n",
       "    /* Handle when an output is cleared or removed */\n",
       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
       "    events.on('delete.Cell', handleClearOutput);\n",
       "\n",
       "    /* Handle when a new output is added */\n",
       "    events.on('output_added.OutputArea', handleAddOutput);\n",
       "\n",
       "    /**\n",
       "     * Register the mime type and append_mime function with output_area\n",
       "     */\n",
       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "      /* Is output safe? */\n",
       "      safe: true,\n",
       "      /* Index of renderer in `output_area.display_order` */\n",
       "      index: 0\n",
       "    });\n",
       "  }\n",
       "\n",
       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
       "  if (root.Jupyter !== undefined) {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  \n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    var el = document.getElementById(\"7acb6739-0007-4505-824d-f5553e7a7606\");\n",
       "    if (el != null) {\n",
       "      el.textContent = \"BokehJS is loading...\";\n",
       "    }\n",
       "    if (root.Bokeh !== undefined) {\n",
       "      if (el != null) {\n",
       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
       "      }\n",
       "    } else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "    }\n",
       "    finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(js_urls, callback) {\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = js_urls.length;\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var s = document.createElement('script');\n",
       "      s.src = url;\n",
       "      s.async = false;\n",
       "      s.onreadystatechange = s.onload = function() {\n",
       "        root._bokeh_is_loading--;\n",
       "        if (root._bokeh_is_loading === 0) {\n",
       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"7acb6739-0007-4505-824d-f5553e7a7606\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '7acb6739-0007-4505-824d-f5553e7a7606' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.13.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.13.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.13.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.13.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.13.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.13.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.13.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.13.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.13.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.13.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i].call(root, root.Bokeh);\n",
       "      }if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"7acb6739-0007-4505-824d-f5553e7a7606\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"7acb6739-0007-4505-824d-f5553e7a7606\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n    }\n    finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.info(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(js_urls, callback) {\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = js_urls.length;\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var s = document.createElement('script');\n      s.src = url;\n      s.async = false;\n      s.onreadystatechange = s.onload = function() {\n        root._bokeh_is_loading--;\n        if (root._bokeh_is_loading === 0) {\n          console.log(\"Bokeh: all BokehJS libraries loaded\");\n          run_callbacks()\n        }\n      };\n      s.onerror = function() {\n        console.warn(\"failed to load library \" + url);\n      };\n      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.getElementsByTagName(\"head\")[0].appendChild(s);\n    }\n  };var element = document.getElementById(\"7acb6739-0007-4505-824d-f5553e7a7606\");\n  if (element == null) {\n    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '7acb6739-0007-4505-824d-f5553e7a7606' but no matching script tag was found. \")\n    return false;\n  }\n\n  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.13.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.13.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.13.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.13.min.js\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      \n    },\n    function(Bokeh) {\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.13.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.13.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.13.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.13.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.13.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.13.min.css\");\n    }\n  ];\n\n  function run_inline_js() {\n    \n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"7acb6739-0007-4505-824d-f5553e7a7606\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(js_urls, function() {\n      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import datetime\n",
    "import scipy.io\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import pandas_datareader.data as web\n",
    "import bokeh.plotting as bk\n",
    "from IPython.display import display\n",
    "bk.output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "nbpresent": {
     "id": "6d825223-c45a-4d90-9d48-dbe3892abc08"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".text_cell_render @font-face {\n",
       "    font-family: \"Computer Modern\";\n",
       "    src: url('http://mirrors.ctan.org/fonts/cm-unicode/fonts/otf/cmunss.otf');\n",
       "}\n",
       "\n",
       "div.cell {\n",
       "    width: 900px;\n",
       "    margin-left: 0% !important;\n",
       "    margin-right: 0%;\n",
       "}\n",
       "\n",
       "code {\n",
       "    font-size:10pt;\n",
       "}\n",
       "\n",
       ".text_cell_render  h1 {\n",
       "    font-family: Tahoma, sans-serif;\n",
       "    color: rgb( 10, 88, 126 );\n",
       "    font-size:28pt;\n",
       "}\n",
       ".text_cell_render h2 {\n",
       "    font-family: Tahoma, sans-serif;\n",
       "    color: rgb( 10, 88, 126 );\n",
       "    font-size:24pt;\n",
       "}\n",
       ".text_cell_render h3 {\n",
       "    font-family: Tahoma, sans-serif;\n",
       "    color: rgb( 10, 88, 126 );\n",
       "    font-size:20pt;\n",
       "}\n",
       ".text_cell_render h4 {\n",
       "    font-family: Tahoma, sans-serif;\n",
       "    color: rgb( 10, 88, 126 );\n",
       "    font-size:18pt;\n",
       "    margin-top:12px;\n",
       "    margin-bottom: 3px;\n",
       "}\n",
       "\n",
       ".text_cell_render h5 {\n",
       "    font-weight: 300;\n",
       "    font-size: 11pt;\n",
       "    color: rgb( 48, 48, 48 );\n",
       "    font-style: italic;\n",
       "    margin-bottom: .5em;\n",
       "    margin-top: 0.5em;\n",
       "    display: block;\n",
       "}\n",
       "\n",
       ".text_cell_render ul {\n",
       "    font-family: Tahoma, sans-serif;\n",
       "    color: rgb( 90, 90, 90 );\n",
       "    font-size:11pt;\n",
       "    line-height: 185%;\n",
       "}\n",
       "\n",
       ".text_cell_render yp {\n",
       "    font-family: Tahoma, sans-serif;\n",
       "    color: rgb( 90, 90, 90 );\n",
       "    font-size:11pt;\n",
       "}\n",
       "\n",
       ".text_cell_render strong {\n",
       "    font-family: Tahoma, sans-serif;\n",
       "    color: rgb( 30, 30, 30 );\n",
       "    font-size:11pt;\n",
       "}\n",
       "\n",
       ".text_cell_render a:link {\n",
       "    font-family: Tahoma, sans-serif;\n",
       "    color: rgb( 10, 88, 126 );\n",
       "    font-size:11pt;\n",
       "}\n",
       "\n",
       ".text_cell_render a:visited {\n",
       "    color:rgb( 10, 88, 126 );\n",
       "}\n",
       "\n",
       ".text_cell_render {\n",
       "    font-family: Helvetica, Courier, Computer Modern, \"Helvetica Neue\", Arial, Geneva, sans-serif;\n",
       "    color: rgb( 84, 84, 84 );\n",
       "    font-size:11pt;\n",
       "    line-height: 125%;\n",
       "    font-size: 100%;\n",
       "    width:800px;\n",
       "}\n",
       "\n",
       ".CodeMirror {\n",
       "    font-family: Courier, \"Source Code Pro\", source-code-pro,Consolas, monospace;\n",
       "}\n",
       "\n",
       ".warning {\n",
       "    color: rgb( 240, 20, 20 );\n",
       "}\n",
       "\n",
       "/* Pandas tables */\n",
       "/*\n",
       ".rendered_html td {\n",
       "    text-align: right;\n",
       "}\n",
       "*/\n",
       "\n",
       "table.dataframe td {\n",
       "    text-align: right;\n",
       "}\n",
       "\n",
       ".output .table-of-contents {\n",
       "    border: 1px #cecece solid;\n",
       "    background-color: #fafafa;\n",
       "    padding-top: 10px;\n",
       "    padding-bottom: 5px;\n",
       "    padding-right: 15px;\n",
       "    padding-left: 0px;\n",
       "    margin-bottom: 20px;\n",
       "    display: inline-block;\n",
       "    position: relative;\n",
       "}\n",
       "\n",
       ".output .table-of-contents ul {\n",
       "    list-style-type: none;\n",
       "    padding-left: 20px;\n",
       "}\n",
       "\n",
       ".output .table-of-contents .title {\n",
       "    font-weight: bold;\n",
       "    font-height: 11pt;\n",
       "    padding-left: 20px; /* looks better if it's the same to the <ul> */\n",
       "}\n",
       "\n",
       ".output .table-of-contents .btn-update {\n",
       "    position: absolute;\n",
       "    float: right;\n",
       "    right: 11px;\n",
       "    top: 4px;\n",
       "    font-size: 9pt;\n",
       "}\n",
       "\n",
       "</style>\n",
       "<script>\n",
       "    MathJax.Hub.Config({\n",
       "                        TeX: {\n",
       "                           extensions: [\"AMSmath.js\"]\n",
       "                           },\n",
       "                displayAlign: 'center', // Change this to 'center' to center equations.\n",
       "                \"HTML-CSS\": {\n",
       "                    styles: {'.MathJax_Display': {\"margin\": 4}}\n",
       "                }\n",
       "        });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from addutils import css_notebook\n",
    "css_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "6e76f922-490d-47fb-96e6-a0f8c5c586e5"
    }
   },
   "source": [
    "## 1 Yahoo! Finance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true,
    "nbpresent": {
     "id": "24157c00-8362-415b-a1ac-f0eb7adb71d3"
    }
   },
   "outputs": [],
   "source": [
    "start = datetime.datetime(2000, 1, 1)\n",
    "end = datetime.datetime(2014, 5, 14)\n",
    "AAPL_yahoo = web.DataReader(\"AAPL\", 'yahoo', start, end)\n",
    "IBM_yahoo = web.DataReader(\"IBM\", 'yahoo', start, end)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "34b1580a-5da4-494e-8d10-91978cb61dce"
    }
   },
   "source": [
    "### 1.1 Plotting timeseries with bokeh:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "nbpresent": {
     "id": "5044887e-c0cc-46d0-99e5-4c5e610ca2db"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div class=\"bk-root\">\n",
       "    <div class=\"bk-plotdiv\" id=\"2bf01dfe-b40e-4d05-b83e-737c5f9bb9e1\"></div>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"edc9b0bd-0ce4-4a37-a117-f59ed5a5c3ee\":{\"roots\":{\"references\":[{\"attributes\":{\"days\":[1,8,15,22]},\"id\":\"35391b1a-eda9-4c65-9556-97bf45e540b8\",\"type\":\"DaysTicker\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"08b6c434-f5b1-48a2-972d-30131c87cc98\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"days\":[1,4,7,10,13,16,19,22,25,28]},\"id\":\"1323031a-93e1-42a7-baed-2f93b8429bf0\",\"type\":\"DaysTicker\"},{\"attributes\":{},\"id\":\"474aaf90-88c6-49ee-8705-55491791c2fd\",\"type\":\"LinearScale\"},{\"attributes\":{\"days\":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]},\"id\":\"edb15cf2-006a-4f28-86a1-d4c307a6b254\",\"type\":\"DaysTicker\"},{\"attributes\":{\"months\":[0,2,4,6,8,10]},\"id\":\"17a05dee-4a3a-4449-bf45-5db73891ead9\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"days\":[1,15]},\"id\":\"db54e5f7-91ca-4e22-8d9a-699f33ff093e\",\"type\":\"DaysTicker\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"818c9a06-d09d-4e97-8374-5759263c85ee\",\"type\":\"PanTool\"},{\"id\":\"44bb5741-f241-463a-bdfc-d6affb752c74\",\"type\":\"BoxZoomTool\"},{\"id\":\"4d6ee281-2d96-4006-911d-4944ffce344a\",\"type\":\"ResetTool\"}]},\"id\":\"7dac8e51-5990-496c-b3a6-af0978acf56f\",\"type\":\"Toolbar\"},{\"attributes\":{\"num_minor_ticks\":5,\"tickers\":[{\"id\":\"2a62a935-c658-43ab-b260-e16a43294e94\",\"type\":\"AdaptiveTicker\"},{\"id\":\"a223dd1c-1a11-444b-ae9a-4977b7e947f9\",\"type\":\"AdaptiveTicker\"},{\"id\":\"7db8c7db-ae11-4b4a-a204-1dcce2d022a6\",\"type\":\"AdaptiveTicker\"},{\"id\":\"edb15cf2-006a-4f28-86a1-d4c307a6b254\",\"type\":\"DaysTicker\"},{\"id\":\"1323031a-93e1-42a7-baed-2f93b8429bf0\",\"type\":\"DaysTicker\"},{\"id\":\"35391b1a-eda9-4c65-9556-97bf45e540b8\",\"type\":\"DaysTicker\"},{\"id\":\"db54e5f7-91ca-4e22-8d9a-699f33ff093e\",\"type\":\"DaysTicker\"},{\"id\":\"0373dac5-cb9f-4c63-b9cb-614c81796d86\",\"type\":\"MonthsTicker\"},{\"id\":\"17a05dee-4a3a-4449-bf45-5db73891ead9\",\"type\":\"MonthsTicker\"},{\"id\":\"7635b163-916d-4e75-890d-41522c58fa1b\",\"type\":\"MonthsTicker\"},{\"id\":\"cce3bbc4-ff4c-43b3-b49f-9894df59fd99\",\"type\":\"MonthsTicker\"},{\"id\":\"8a00fb2c-1d2a-4168-b6d0-ac73eab168f9\",\"type\":\"YearsTicker\"}]},\"id\":\"49d6347a-9c95-453b-b8e1-0af902c7f1b9\",\"type\":\"DatetimeTicker\"},{\"attributes\":{\"months\":[0,6]},\"id\":\"cce3bbc4-ff4c-43b3-b49f-9894df59fd99\",\"type\":\"MonthsTicker\"},{\"attributes\":{},\"id\":\"94b4423f-a223-4dd9-9e1d-589c4a19f15a\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"4d6ee281-2d96-4006-911d-4944ffce344a\",\"type\":\"ResetTool\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"181194f6-dc6f-4ba0-bbb8-10b2c87b8dc9\",\"type\":\"Line\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"c1db58d0-678d-4e17-8f67-061237791dfd\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"94b4423f-a223-4dd9-9e1d-589c4a19f15a\",\"type\":\"BasicTicker\"}},\"id\":\"4836d377-591e-460a-a793-bcabf84141e4\",\"type\":\"Grid\"},{\"attributes\":{\"data_source\":{\"id\":\"edf8864f-815f-485b-a443-8cf4e190063e\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"45683d8e-b78a-4683-b570-a549707d6c4b\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"9210e946-6fb4-478d-bb27-474cf119967f\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"f9436b30-cc7c-42a3-84e6-6c248f4a51e7\",\"type\":\"CDSView\"}},\"id\":\"a9c53bff-5808-4ee5-a718-843c751c4c5c\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":{\"__ndarray__\":\"AAAAKrWMa0IAAICMo45rQgAAAFhIj2tCAACAI+2Pa0IAAADvkZBrQgAAgLo2kWtCAAAAHSWTa0IAAIDoyZNrQgAAALRulGtCAACAfxOVa0IAAABLuJVrQgAAAHlLmGtCAACARPCYa0IAAAAQlZlrQgAAgNs5mmtCAAAAPiica0IAAIAJzZxrQgAAANVxnWtCAACAoBaea0IAAABsu55rQgAAgM6poGtCAAAAmk6ha0IAAIBl86FrQgAAADGYomtCAACA/Dyja0IAAABfK6VrQgAAgCrQpWtCAAAA9nSma0IAAIDBGadrQgAAAI2+p2tCAACA76ypa0IAAAC7UaprQgAAgIb2qmtCAAAAUpura0IAAIAdQKxrQgAAgEvTrmtCAAAAF3iva0IAAIDiHLBrQgAAAK7BsGtCAACAELCya0IAAADcVLNrQgAAgKf5s2tCAAAAc560a0IAAIA+Q7VrQgAAAKExt2tCAACAbNa3a0IAAAA4e7hrQgAAgAMguWtCAAAAz8S5a0IAAIAxs7trQgAAAP1XvGtCAACAyPy8a0IAAACUob1rQgAAgF9GvmtCAAAAwjTAa0IAAICN2cBrQgAAAFl+wWtCAACAJCPCa0IAAADwx8JrQgAAgFK2xGtCAAAAHlvFa0IAAIDp/8VrQgAAALWkxmtCAACAgEnHa0IAAADjN8lrQgAAgK7cyWtCAAAAeoHKa0IAAIBFJstrQgAAABHLy2tCAACAc7nNa0IAAAA/Xs5rQgAAgAoDz2tCAAAA1qfPa0IAAIChTNBrQgAAAAQ70mtCAACAz9/Sa0IAAACbhNNrQgAAgGYp1GtCAACAlLzWa0IAAABgYddrQgAAgCsG2GtCAAAA96rYa0IAAIDCT9lrQgAAACU+22tCAACA8OLba0IAAAC8h9xrQgAAgIcs3WtCAAAAU9Hda0IAAIC1v99rQgAAAIFk4GtCAACATAnha0IAAAAYruFrQgAAgONS4mtCAAAARkHka0IAAIAR5uRrQgAAAN2K5WtCAACAqC/ma0IAAAB01OZrQgAAgNbC6GtCAAAAomfpa0IAAIBtDOprQgAAADmx6mtCAACABFbra0IAAIAy6e1rQgAAAP6N7mtCAACAyTLva0IAAACV1+9rQgAAgPfF8WtCAAAAw2rya0IAAICOD/NrQgAAAFq082tCAACAJVn0a0IAAACIR/ZrQgAAgFPs9mtCAAAAH5H3a0IAAIDqNfhrQgAAALba+GtCAACAGMn6a0IAAADkbftrQgAAgK8S/GtCAAAAe7f8a0IAAIBGXP1rQgAAAKlK/2tCAACAdO//a0IAAABAlABsQgAAgAs5AWxCAAAA190BbEIAAIA5zANsQgAAgNAVBWxCAAAAnLoFbEIAAIBnXwZsQgAAAMpNCGxCAACAlfIIbEIAAABhlwlsQgAAgCw8CmxCAAAA+OAKbEIAAIBazwxsQgAAACZ0DWxCAACA8RgObEIAAAC9vQ5sQgAAgIhiD2xCAAAA61ARbEIAAIC29RFsQgAAAIKaEmxCAACATT8TbEIAAAAZ5BNsQgAAgHvSFWxCAAAAR3cWbEIAAIASHBdsQgAAAN7AF2xCAACAqWUYbEIAAAAMVBpsQgAAgNf4GmxCAAAAo50bbEIAAIBuQhxsQgAAADrnHGxCAACAnNUebEIAAABoeh9sQgAAgDMfIGxCAAAA/8MgbEIAAIDKaCFsQgAAAC1XI2xCAACA+PsjbEIAAADEoCRsQgAAgI9FJWxCAAAAW+olbEIAAIC92CdsQgAAAIl9KGxCAACAVCIpbEIAAAAgxylsQgAAgOtrKmxCAACAGf8sbEIAAADloy1sQgAAgLBILmxCAAAAfO0ubEIAAIDe2zBsQgAAAKqAMWxCAACAdSUybEIAAABByjJsQgAAgAxvM2xCAAAAb101bEIAAIA6AjZsQgAAAAanNmxCAACA0Us3bEIAAACd8DdsQgAAgP/eOWxCAAAAy4M6bEIAAICWKDtsQgAAAGLNO2xCAACALXI8bEIAAACQYD5sQgAAgFsFP2xCAAAAJ6o/bEIAAIDyTkBsQgAAAL7zQGxCAACAIOJCbEIAAADshkNsQgAAgLcrRGxCAAAAg9BEbEIAAIBOdUVsQgAAALFjR2xCAACAfAhIbEIAAABIrUhsQgAAgBNSSWxCAAAA3/ZJbEIAAIBB5UtsQgAAAA2KTGxCAACA2C5NbEIAAACk001sQgAAgG94TmxCAAAA0mZQbEIAAICdC1FsQgAAAGmwUWxCAACANFVSbEIAAAAA+lJsQgAAgGLoVGxCAAAALo1VbEIAAID5MVZsQgAAAMXWVmxCAACAkHtXbEIAAADzaVlsQgAAgL4OWmxCAAAAirNabEIAAIBVWFtsQgAAACH9W2xCAACAg+tdbEIAAABPkF5sQgAAgBo1X2xCAACAsX5gbEIAAAAUbWJsQgAAgN8RY2xCAAAAq7ZjbEIAAIB2W2RsQgAAAEIAZWxCAACApO5mbEIAAABwk2dsQgAAgDs4aGxCAAAAB91obEIAAIDSgWlsQgAAADVwa2xCAACAABVsbEIAAADMuWxsQgAAgJdebWxCAAAAYwNubEIAAIDF8W9sQgAAAJGWcGxCAACAXDtxbEIAAAAo4HFsQgAAgPOEcmxCAACAIRh1bEIAAADtvHVsQgAAgLhhdmxCAAAAhAZ3bEIAAACymXlsQgAAgH0+emxCAAAASeN6bEIAAIAUiHtsQgAAAHd2fWxCAACAQht+bEIAAAAOwH5sQgAAgNlkf2xCAAAApQmAbEIAAADTnIJsQgAAgJ5Bg2xCAAAAauaDbEIAAIA1i4RsQgAAAJh5hmxCAACAYx6HbEIAAAAvw4dsQgAAgPpniGxCAAAAxgyJbEIAAIAo+4psQgAAAPSfi2xCAACAv0SMbEIAAACL6YxsQgAAgFaOjWxCAAAAuXyPbEIAAICEIZBsQgAAAFDGkGxCAACAG2uRbEIAAADnD5JsQgAAgEn+k2xCAAAAFaOUbEIAAIDgR5VsQgAAAKzslWxCAACAd5GWbEIAAIClJJlsQgAAAHHJmWxCAACAPG6abEIAAAAIE5tsQgAAgGoBnWxCAAAANqadbEIAAIABS55sQgAAAM3vnmxCAACAmJSfbEIAAAD7gqFsQgAAgMYnomxCAAAAksyibEIAAIBdcaNsQgAAACkWpGxCAACAiwSmbEIAAABXqaZsQgAAgCJOp2xCAAAA7vKnbEIAAIC5l6hsQgAAAByGqmxCAACA5yqrbEIAAACzz6tsQgAAgH50rGxCAAAAShmtbEIAAICsB69sQgAAAHisr2xCAACAQ1GwbEIAAAAP9rBsQgAAgNqasWxCAAAAPYmzbEIAAIAILrRsQgAAANTStGxCAACAn3e1bEIAAABrHLZsQgAAgM0KuGxCAAAAma+4bEIAAIBkVLlsQgAAADD5uWxCAAAAXoy8bEIAAIApMb1sQgAAAPXVvWxCAACAwHq+bEIAAACMH79sQgAAgO4NwWxCAAAAurLBbEIAAICFV8JsQgAAAFH8wmxCAACAHKHDbEIAAAB/j8VsQgAAgEo0xmxCAAAAFtnGbEIAAIDhfcdsQgAAAK0iyGxCAACADxHKbEIAAADbtcpsQgAAgKZay2xCAAAAcv/LbEIAAIA9pMxsQgAAAKCSzmxCAACAazfPbEIAAAA33M9sQgAAgAKB0GxCAAAAziXRbEIAAIAwFNNsQgAAAPy402xCAACAx13UbEIAAACTAtVsQgAAgF6n1WxCAACAjDrYbEIAAABY39hsQgAAgCOE2WxCAAAA7yjabEIAAIBRF9xsQgAAAB283GxCAACA6GDdbEIAAAC0Bd5sQgAAgH+q3mxCAAAA4pjgbEIAAICtPeFsQgAAAHni4WxCAACARIfibEIAAAAQLONsQgAAgHIa5WxCAAAAPr/lbEIAAIAJZOZsQgAAANUI52xCAACAoK3nbEIAAAADnOlsQgAAgM5A6mxCAAAAmuXqbEIAAIBliutsQgAAADEv7GxCAACAkx3ubEIAAABfwu5sQgAAAPYL8GxCAACAwbDwbEIAAAAkn/JsQgAAgO9D82xCAAAAu+jzbEIAAICGjfRsQgAAAFIy9WxCAACAtCD3bEIAAACAxfdsQgAAgEtq+GxCAAAAFw/5bEIAAIDis/lsQgAAAEWi+2xCAACAEEf8bEIAAADc6/xsQgAAgKeQ/WxCAAAAczX+bEIAAIDVIwBtQgAAAKHIAG1CAACAbG0BbUIAAAA4EgJtQgAAgAO3Am1CAAAAZqUEbUIAAIAxSgVtQgAAAP3uBW1CAACAyJMGbUIAAACUOAdtQgAAgPYmCW1CAAAAwssJbUIAAICNcAptQgAAAFkVC21CAACAJLoLbUIAAACHqA1tQgAAgFJNDm1CAAAAHvIObUIAAIDplg9tQgAAALU7EG1CAACAFyoSbUIAAADjzhJtQgAAgK5zE21CAAAAehgUbUIAAIBFvRRtQgAAgHNQF21CAAAAP/UXbUIAAIAKmhhtQgAAANY+GW1CAACAOC0bbUIAAADJrh9tQgAAgJRTIG1CAAAAYPggbUIAAIArnSFtQgAAAPdBIm1CAACAWTAkbUIAAAAl1SRtQgAAgPB5JW1CAAAAvB4mbUIAAICHwyZtQgAAAOqxKG1CAACAtVYpbUIAAACB+yltQgAAgEygKm1CAAAAGEUrbUIAAIB6My1tQgAAAEbYLW1CAACAEX0ubUIAAADdIS9tQgAAgKjGL21CAAAAC7UxbUIAAIDWWTJtQgAAAKL+Mm1CAACAbaMzbUIAAAA5SDRtQgAAgJs2Nm1CAAAAZ9s2bUIAAIAygDdtQgAAAP4kOG1CAACAyck4bUIAAAAsuDptQgAAgPdcO21CAAAAwwE8bUIAAICOpjxtQgAAAFpLPW1CAACAvDk/bUIAAACI3j9tQgAAgFODQG1CAAAAHyhBbUIAAIDqzEFtQgAAAE27Q21CAACAGGBEbUIAAADkBEVtQgAAgK+pRW1CAAAAe05GbUIAAIDdPEhtQgAAAKnhSG1CAACAdIZJbUIAAIAL0EptQgAAAG6+TG1CAACAOWNNbUIAAAAFCE5tQgAAgNCsTm1CAAAAnFFPbUIAAID+P1FtQgAAAMrkUW1CAACAlYlSbUIAAABhLlNtQgAAgCzTU21CAAAAj8FVbUIAAIBaZlZtQgAAACYLV21CAACA8a9XbUIAAAC9VFhtQgAAgB9DWm1CAAAA6+dabUIAAIC2jFttQgAAAIIxXG1CAACATdZcbUIAAACwxF5tQgAAAEcOYG1CAACAErNgbUIAAADeV2FtQgAAgEBGY21CAACA149kbUIAAACjNGVtQgAAgG7ZZW1CAAAA0cdnbUIAAICcbGhtQgAAAGgRaW1CAACAM7ZpbUIAAAD/WmptQgAAgGFJbG1CAAAALe5sbUIAAID4km1tQgAAAMQ3bm1CAACAj9xubUIAAIC9b3FtQgAAAIkUcm1CAACAVLlybUIAAAAgXnNtQgAAgIJMdW1CAAAATvF1bUIAAIAZlnZtQgAAAOU6d21CAACAsN93bUIAAAATznltQgAAgN5yem1CAAAAqhd7bUIAAIB1vHttQgAAAEFhfG1CAACAo09+bUIAAABv9H5tQgAAgDqZf21CAAAABj6AbUIAAIDR4oBtQgAAgP91g21CAAAAyxqEbUIAAICWv4RtQgAAAGJkhW1CAACAxFKHbUIAAACQ94dtQgAAgFuciG1CAAAAJ0GJbUIAAIDy5YltQgAAAFXUi21CAACAIHmMbUIAAADsHY1tQgAAgLfCjW1CAAAAg2eObUIAAIDlVZBtQgAAALH6kG1CAACAfJ+RbUIAAABIRJJtQgAAgBPpkm1CAAAAdteUbUIAAIBBfJVtQgAAAA0hlm1CAACA2MWWbUIAAACkapdtQgAAgAZZmW1CAAAA0v2ZbUIAAICdopptQgAAAGlHm21CAAAAl9qdbUIAAIBif55tQgAAAC4kn21CAACA+cifbUIAAADFbaBtQgAAgCdcom1CAAAA8wCjbUIAAIC+paNtQgAAAIpKpG1CAACAVe+kbUIAAAC43aZtQgAAgIOCp21CAAAATyeobUIAAIAazKhtQgAAAOZwqW1CAACASF+rbUIAAAAUBKxtQgAAgN+orG1CAAAAq02tbUIAAIB28q1tQgAAANngr21CAACApIWwbUIAAABwKrFtQgAAgDvPsW1CAAAAB3SybUIAAIBpYrRtQgAAADUHtW1CAACAAKy1bUIAAADMULZtQgAAgJf1tm1CAAAA+uO4bUIAAIDFiLltQgAAAJEtum1CAACAXNK6bUIAAAAod7ttQgAAgIplvW1CAAAAVgq+bUIAAIAhr75tQgAAAO1Tv21CAACAuPi/bUIAAIDmi8JtQgAAALIww21CAACAfdXDbUIAAABJesRtQgAAgKtoxm1CAAAAdw3HbUIAAIBCssdtQgAAAA5XyG1CAACA2fvIbUIAAAA86sptQgAAgAePy21CAAAA0zPMbUIAAICe2MxtQgAAAGp9zW1CAACAzGvPbUIAAACYENBtQgAAgGO10G1CAAAAL1rRbUIAAID6/tFtQgAAAF3t021CAACAKJLUbUIAAAD0NtVtQgAAgL/b1W1CAAAAi4DWbUIAAIDtbthtQgAAALkT2W1CAACAhLjZbUIAAIAbAtttQgAAAH7w3G1CAACASZXdbUIAAAAVOt5tQgAAgODe3m1CAAAArIPfbUIAAIAOcuFtQgAAANoW4m1CAACApbvibUIAAABxYONtQgAAgDwF5G1CAAAAn/PlbUIAAIBqmOZtQgAAADY9521CAACAAeLnbUIAAADNhuhtQgAAgC916m1CAAAA+xnrbUIAAIDGvuttQgAAAJJj7G1CAACAXQjtbUIAAADA9u5tQgAAgIub721CAAAAV0DwbUIAAIAi5fBtQgAAAO6J8W1CAACAUHjzbUIAAAAcHfRtQgAAgOfB9G1CAAAAs2b1bUIAAIB+C/ZtQgAAAOH5921CAACArJ74bUIAAAB4Q/ltQgAAgEPo+W1CAAAAD436bUIAAIBxe/xtQgAAAD0g/W1CAACACMX9bUIAAADUaf5tQgAAgJ8O/21CAACAzaEBbkIAAACZRgJuQgAAgGTrAm5CAAAAMJADbkIAAICSfgVuQgAAAF4jBm5CAACAKcgGbkIAAAD1bAduQgAAgMARCG5CAAAAIwAKbkIAAIDupApuQgAAALpJC25CAACAhe4LbkIAAABRkwxuQgAAgLOBDm5CAAAAfyYPbkIAAIBKyw9uQgAAABZwEG5CAACA4RQRbkIAAABEAxNuQgAAgA+oE25CAAAA20wUbkIAAICm8RRuQgAAAHKWFW5CAACA1IQXbkIAAACgKRhuQgAAgGvOGG5CAAAAN3MZbkIAAIACGBpuQgAAAGUGHG5CAACAMKscbkIAAAD8Tx1uQgAAgMf0HW5CAAAAk5kebkIAAID1hyBuQgAAAMEsIW5CAACAjNEhbkIAAABYdiJuQgAAgCMbI25CAAAAhgklbkIAAIBRriVuQgAAAB1TJm5CAACA6PcmbkIAAAC0nCduQgAAgBaLKW5CAAAA4i8qbkIAAICt1CpuQgAAAHl5K25CAACARB4sbkIAAACnDC5uQgAAgHKxLm5CAAAAPlYvbkIAAIAJ+y9uQgAAANWfMG5CAACAN44ybkIAAAADMzNuQgAAgM7XM25CAAAAmnw0bkIAAIBlITVuQgAAAMgPN25CAACAk7Q3bkIAAABfWThuQgAAAPaiOW5CAACAWJE7bkIAAAAkNjxuQgAAgO/aPG5CAAAAu389bkIAAICGJD5uQgAAAOkSQG5CAACAtLdAbkIAAACAXEFuQgAAgEsBQm5CAAAAF6ZCbkIAAIB5lERuQgAAAEU5RW5CAACAEN5FbkIAAADcgkZuQgAAgKcnR25CAAAAChZJbkIAAIDVukluQgAAgGwES25CAAAAOKlLbkIAAICal01uQgAAAGY8Tm5CAAAA/YVPbkIAAIDIKlBuQgAAACsZUm5CAACA9r1SbkIAAADCYlNuQgAAgI0HVG5CAAAAWaxUbkIAAIC7mlZuQgAAAIc/V25CAACAUuRXbkIAAAAeiVhuQgAAgOktWW5CAACAF8FbbkIAAADjZVxuQgAAgK4KXW5CAAAAeq9dbkIAAIDcnV9uQgAAAKhCYG5CAACAc+dgbkIAAAA/jGFuQgAAgAoxYm5CAAAAbR9kbkIAAIA4xGRuQgAAAARpZW5CAACAzw1mbkIAAACbsmZuQgAAgP2gaG5CAAAAyUVpbkIAAICU6mluQgAAAGCPam5CAACAKzRrbkIAAIBZx21uQgAAACVsbm5CAACA8BBvbkIAAAC8tW9uQgAAgB6kcW5CAAAA6khybkIAAIC17XJuQgAAAIGSc25CAACATDd0bkIAAACvJXZuQgAAgHrKdm5CAAAARm93bkIAAIARFHhuQgAAAN24eG5CAACAP6d6bkIAAAALTHtuQgAAgNbwe25CAAAAopV8bkIAAIBtOn1uQgAAANAof25CAACAm81/bkIAAABncoBuQgAAgDIXgW5CAAAA/ruBbkIAAIBgqoNuQgAAACxPhG5CAACA9/OEbkIAAADDmIVuQgAAgI49hm5CAAAA8SuIbkIAAIC80IhuQgAAAIh1iW5CAACAUxqKbkIAAAAfv4puQgAAgIGtjG5CAAAATVKNbkIAAIAY941uQgAAAOSbjm5CAACAr0CPbkIAAAASL5FuQgAAgN3TkW5CAAAAqXiSbkIAAIB0HZNuQgAAgKKwlW5CAAAAblWWbkIAAIA5+pZuQgAAAAWfl25CAACA0EOYbkIAAAAzMppuQgAAgP7Wmm5CAAAAynubbkIAAICVIJxuQgAAAGHFnG5CAACAw7OebkIAAACPWJ9uQgAAgFr9n25CAAAAJqKgbkIAAIDxRqFuQgAAAFQ1o25CAACAH9qjbkIAAADrfqRuQgAAgLYjpW5CAAAAgsilbkIAAIDktqduQgAAALBbqG5CAACAewCpbkIAAABHpaluQgAAgBJKqm5CAACAQN2sbkIAAAAMgq1uQgAAgNcmrm5CAAAAo8uubkIAAIAFurBuQgAAANFesW5CAACAnAOybkIAAABoqLJuQgAAgDNNs25CAAAAlju1bkIAAIBh4LVuQgAAAC2Ftm5CAACA+Cm3bkIAAADEzrduQgAAgCa9uW5CAAAA8mG6bkIAAIC9BrtuQgAAAImru25CAACAVFC8bkIAAAC3Pr5uQgAAgILjvm5CAAAAToi/bkIAAIAZLcBuQgAAAOXRwG5CAACAR8DCbkIAAAATZcNuQgAAgN4JxG5CAAAAqq7EbkIAAADYQcduQgAAgKPmx25CAAAAb4vIbkIAAIA6MMluQgAAAAbVyW5CAACAaMPLbkIAAAA0aMxuQgAAgP8MzW5CAAAAy7HNbkIAAICWVs5uQgAAAPlE0G5CAACAxOnQbkIAAACQjtFuQgAAgFsz0m5CAAAAJ9jSbkIAAICJxtRuQgAAAFVr1W5CAACAIBDWbkIAAADstNZuQgAAgLdZ125CAAAAGkjZbkIAAIDl7NluQgAAALGR2m5CAACAfDbbbkIAAABI29tuQgAAgKrJ3W5CAAAAdm7ebkIAAIBBE99uQgAAAA24325CAACA2FzgbkIAAAA7S+JuQgAAgAbw4m5CAAAA0pTjbkIAAICdOeRuQgAAAGne5G5CAACAy8zmbkIAAACXceduQgAAgGIW6G5CAAAALrvobkIAAID5X+luQgAAgCfz625CAAAA85fsbkIAAIC+PO1uQgAAAIrh7W5CAACA7M/vbkIAAAC4dPBuQgAAgIMZ8W5CAAAAT77xbkIAAIAaY/JuQgAAAH1R9G5CAACASPb0bkIAAAAUm/VuQgAAgN8/9m5CAAAAq+T2bkIAAIAN0/huQgAAANl3+W5CAACApBz6bkIAAABwwfpuQgAAgDtm+25CAAAAnlT9bkIAAIBp+f1uQgAAADWe/m5CAACAAEP/bkIAAADM5/9uQgAAgC7WAW9CAAAA+noCb0IAAIDFHwNvQgAAAJHEA29CAACAXGkEb0IAAAC/VwZvQgAAgIr8Bm9CAAAAVqEHb0IAAIAhRghvQgAAAO3qCG9CAACAT9kKb0IAAAAbfgtvQgAAgOYiDG9CAAAAsscMb0IAAIB9bA1vQgAAAOBaD29CAACAq/8Pb0IAAAB3pBBvQgAAgEJJEW9CAAAADu4Rb0IAAIBw3BNvQgAAADyBFG9CAACAByYVb0IAAADTyhVvQgAAgJ5vFm9CAAAAAV4Yb0IAAIDMAhlvQgAAAJinGW9CAACAY0wab0IAAAAv8RpvQgAAgJHfHG9CAAAAXYQdb0IAAIAoKR5vQgAAAPTNHm9CAACAv3Ifb0IAAAAiYSFvQgAAgO0FIm9CAAAAuaoib0IAAABQ9CNvQgAAgLLiJW9CAAAAfocmb0IAAIBJLCdvQgAAABXRJ29CAACA4HUob0IAAABDZCpvQgAAgA4JK29CAAAA2q0rb0IAAIClUixvQgAAAHH3LG9CAACA0+Uub0IAAACfii9vQgAAgGovMG9CAAAANtQwb0IAAIABeTFvQgAAAGRnM29CAACALww0b0IAAAD7sDRvQgAAAJL6NW9CAACA9Og3b0IAAADAjThvQgAAgIsyOW9CAACAInw6b0IAAACFajxvQgAAgFAPPW9CAAAAHLQ9b0IAAIDnWD5vQgAAALP9Pm9CAACAFexAb0IAAADhkEFvQgAAgKw1Qm9CAAAAeNpCb0IAAIBDf0NvQgAAgHESRm9CAAAAPbdGb0IAAIAIXEdvQgAAANQASG9CAACANu9Jb0IAAAAClEpvQgAAgM04S29CAAAAmd1Lb0IAAIBkgkxvQgAAAMdwTm9CAACAkhVPb0IAAABeuk9vQgAAgClfUG9CAAAA9QNRb0IAAIBX8lJvQgAAACOXU29CAACA7jtUb0IAAAC64FRvQgAAgIWFVW9CAACAsxhYb0IAAAB/vVhvQgAAgEpiWW9CAAAAFgdab0IAAIB49VtvQgAAAESaXG9CAACADz9db0IAAADb411vQgAAgKaIXm9CAAAACXdgb0IAAIDUG2FvQgAAAKDAYW9CAACAa2Vib0IAAAA3CmNvQgAAgJn4ZG9CAAAAZZ1lb0IAAIAwQmZvQgAAAPzmZm9CAACAx4tnb0IAAAAqemlvQgAAgPUeam9CAAAAwcNqb0IAAICMaGtvQgAAAFgNbG9CAACAuvttb0IAAACGoG5vQgAAgFFFb29CAAAAHepvb0IAAIDojnBvQgAAAEt9cm9CAACAFiJzb0IAAADixnNvQgAAgK1rdG9CAAAAeRB1b0IAAIDb/nZvQgAAAKejd29CAACAckh4b0IAAAA+7XhvQgAAAGyAe29CAACANyV8b0IAAAADynxvQgAAgM5ufW9CAAAAmhN+b0IAAID8AYBvQgAAAMimgG9CAACAk0uBb0IAAABf8IFvQgAAgCqVgm9CAAAAjYOEb0IAAIBYKIVvQgAAACTNhW9CAACA73GGb0IAAAC7FodvQgAAgB0FiW9CAAAA6amJb0IAAIC0TopvQgAAAIDzim9CAACAS5iLb0IAAACuho1vQgAAgHkrjm9CAAAARdCOb0IAAIAQdY9vQgAAANwZkG9CAACAPgiSb0IAAAAKrZJvQgAAgNVRk29CAAAAofaTb0IAAIBsm5RvQgAAAM+Jlm9CAACAmi6Xb0IAAABm05dvQgAAgDF4mG9CAAAA/RyZb0IAAAArsJtvQgAAgPZUnG9CAAAAwvmcb0IAAICNnp1vQgAAAPCMn29CAACAuzGgb0IAAACH1qBvQgAAgFJ7oW9CAACAgA6kb0IAAABMs6RvQgAAgBdYpW9CAAAA4/ylb0IAAICuoaZvQgAAABGQqG9CAACA3DSpb0IAAACo2alvQgAAgHN+qm9CAAAAPyOrb0IAAIChEa1vQgAAAG22rW9CAACAOFuub0IAAAAEAK9vQgAAgM+kr29CAACA/Teyb0IAAADJ3LJvQgAAgJSBs29CAAAAYCa0b0IAAIDCFLZvQgAAAI65tm9CAACAWV63b0IAAAAlA7hvQgAAgPCnuG9CAAAAU5a6b0IAAIAeO7tvQgAAAOrfu29CAACAtYS8b0IAAACBKb1vQgAAgOMXv29CAAAAr7y/b0IAAIB6YcBvQgAAAEYGwW9CAACAEavBb0IAAAB0mcNvQgAAgD8+xG9CAAAAC+PEb0IAAIDWh8VvQgAAAKIsxm9CAACABBvIb0IAAADQv8hvQgAAgJtkyW9CAAAAZwnKb0IAAIAyrspvQgAAAJWczG9CAACAYEHNb0IAAAAs5s1vQgAAgPeKzm9CAAAAwy/Pb0IAAIAlHtFvQgAAAPHC0W9CAACAvGfSb0IAAACIDNNvQgAAgFOx029CAAAAtp/Vb0IAAICBRNZvQgAAAE3p1m9CAACAGI7Xb0IAAADkMthvQgAAABLG2m9CAACA3Wrbb0IAAACpD9xvQgAAgHS03G9CAAAA16Leb0IAAICiR99vQgAAAG7s329CAACAOZHgb0IAAAAFNuFvQgAAgGck429CAAAAM8njb0IAAID+beRvQgAAAMoS5W9CAACAlbflb0IAAAD4pedvQgAAgMNK6G9CAAAAj+/ob0IAAIBalOlvQgAAACY56m9CAACAiCfsb0IAAABUzOxvQgAAgB9x7W9CAAAA6xXub0IAAIC2uu5vQgAAABmp8G9CAACA5E3xb0IAAACw8vFvQgAAgHuX8m9CAAAARzzzb0IAAICpKvVvQgAAAHXP9W9CAACAQHT2b0IAAAAMGfdvQgAAgNe9929CAAAAOqz5b0IAAIAFUfpvQgAAANH1+m9CAACAnJr7b0IAAABoP/xvQgAAgMot/m9CAAAAltL+b0IAAIBhd/9vQgAAgBYOAHBCAABAfGAAcEIAAICtVwFwQgAAQBOqAXBCAAAAefwBcEIAAMDeTgJwQgAAgEShAnBCAADAdZgDcEIAAIDb6gNwQgAAQEE9BHBCAAAAp48EcEIAAMAM4gRwQgAAAD7ZBXBCAADAoysGcEIAAIAJfgZwQgAAANUiB3BCAABABhoIcEIAAABsbAhwQgAAwNG+CHBCAACANxEJcEIAAECdYwlwQgAAgM5aCnBCAABANK0KcEIAAACa/wpwQgAAwP9RC3BCAACAZaQLcEIAAMCWmwxwQgAAgPztDHBCAABAYkANcEIAAADIkg1wQgAAwC3lDXBCAAAAX9wOcEIAAMDELg9wQgAAgCqBD3BCAABAkNMPcEIAAEAnHRFwQgAAAI1vEXBCAADA8sERcEIAAIBYFBJwQgAAQL5mEnBCAACA710TcEIAAEBVsBNwQgAAALsCFHBCAADAIFUUcEIAAICGpxRwQgAAwLeeFXBCAACAHfEVcEIAAECDQxZwQgAAAOmVFnBCAADATugWcEIAAMDlMRhwQgAAgEuEGHBCAABAsdYYcEIAAAAXKRlwQgAAQEggGnBCAAAArnIacEIAAMATxRpwQgAAgHkXG3BCAABA32kbcEIAAIAQYRxwQgAAQHazHHBCAAAA3AUdcEIAAMBBWB1wQgAAgKeqHXBCAADA2KEecEIAAIA+9B5wQgAAQKRGH3BCAAAACpkfcEIAAMBv6x9wQgAAAKHiIHBCAADABjUhcEIAAIBshyFwQgAAQNLZIXBCAAAAOCwicEIAAADPdSNwQgAAwDTII3BCAACAmhokcEIAAEAAbSRwQgAAgDFkJXBCAABAl7YlcEIAAAD9CCZwQgAAwGJbJnBCAACAyK0mcEIAAMD5pCdwQgAAgF/3J3BCAABAxUkocEIAAAArnChwQgAAwJDuKHBCAAAAwuUpcEIAAMAnOCpwQgAAgI2KKnBCAABA89wqcEIAAABZLytwQgAAQIomLHBCAAAA8HgscEIAAMBVyyxwQgAAgLsdLXBCAACAUmcucEIAAEC4uS5wQgAAAB4ML3BCAADAg14vcEIAAIDpsC9wQgAAwBqoMHBCAACAgPowcEIAAEDmTDFwQgAAAEyfMXBCAADAsfExcEIAAADj6DJwQgAAwEg7M3BCAACAro0zcEIAAEAU4DNwQgAAAHoyNHBCAABAqyk1cEIAAAARfDVwQgAAwHbONXBCAACA3CA2cEIAAEBCczZwQgAAgHNqN3BCAABA2bw3cEIAAAA/DzhwQgAAwKRhOHBCAACACrQ4cEIAAMA7qzlwQgAAgKH9OXBCAABAB1A6cEIAAABtojpwQgAAwNL0OnBCAAAABOw7cEIAAMBpPjxwQgAAgM+QPHBCAABANeM8cEIAAACbNT1wQgAAQMwsPnBCAAAAMn8+cEIAAMCX0T5wQgAAgP0jP3BCAABAY3Y/cEIAAICUbUBwQgAAQPq/QHBCAAAAYBJBcEIAAMDFZEFwQgAAgCu3QXBCAACAwgBDcEIAAEAoU0NwQgAAAI6lQ3BCAADA8/dDcEIAAAAl70RwQgAAwIpBRXBCAACA8JNFcEIAAEBW5kVwQgAAALw4RnBCAABA7S9HcEIAAABTgkdwQgAAwLjUR3BCAACAHidIcEIAAECEeUhwQgAAgLVwSXBCAABAG8NJcEIAAACBFUpwQgAAwOZnSnBCAACATLpKcEIAAMB9sUtwQgAAgOMDTHBCAABASVZMcEIAAACvqExwQgAAwBT7THBCAADAq0ROcEIAAIARl05wQgAAQHfpTnBCAAAA3TtPcEIAAEAOM1BwQgAAAHSFUHBCAADA2ddQcEIAAIA/KlFwQgAAQKV8UXBCAACA1nNScEIAAEA8xlJwQgAAAKIYU3BCAADAB2tTcEIAAIBtvVNwQgAAwJ60VHBCAACABAdVcEIAAEBqWVVwQgAAANCrVXBCAADANf5VcEIAAABn9VZwQgAAwMxHV3BCAACAMppXcEIAAECY7FdwQgAAAP4+WHBCAABALzZZcEIAAACViFlwQgAAwPraWXBCAACAYC1acEIAAEDGf1pwQgAAgPd2W3BCAABAXclbcEIAAADDG1xwQgAAwChuXHBCAACAjsBccEIAAMC/t11wQgAAgCUKXnBCAABAi1xecEIAAADxrl5wQgAAwFYBX3BCAAAAiPhfcEIAAMDtSmBwQgAAgFOdYHBCAABAue9gcEIAAAAfQmFwQgAAALaLYnBCAADAG95icEIAAICBMGNwQgAAQOeCY3BCAACAGHpkcEIAAEB+zGRwQgAAAOQeZXBCAADASXFlcEIAAICvw2VwQgAAwOC6ZnBCAACARg1ncEIAAECsX2dwQgAAABKyZ3BCAADAdwRocEIAAACp+2hwQgAAwA5OaXBCAACAdKBpcEIAAEDa8mlwQgAAAEBFanBCAABAcTxrcEIAAADXjmtwQgAAwDzha3BCAACAojNscEIAAEAIhmxwQgAAgDl9bXBCAABAn89tcEIAAAAFIm5wQgAAwGp0bnBCAACA0MZucEIAAMABvm9wQgAAgGcQcHBCAABAzWJwcEIAAAAztXBwQgAAwJgHcXBCAAAAyv5xcEIAAMAvUXJwQgAAgJWjcnBCAABA+/VycEIAAABhSHNwQgAAQJI/dHBCAAAA+JF0cEIAAMBd5HRwQgAAgMM2dXBCAABAKYl1cEIAAIBagHZwQgAAQMDSdnBCAAAAJiV3cEIAAMCLd3dwQgAAgPHJd3BCAADAIsF4cEIAAICIE3lwQgAAQO5leXBCAAAAVLh5cEIAAMC5CnpwQgAAAOsBe3BCAADAUFR7cEIAAIC2pntwQgAAAIJLfHBCAABAs0J9cEIAAAAZlX1wQgAAwH7nfXBCAACA5Dl+cEIAAEBKjH5wQgAAgHuDf3BCAABA4dV/cEIAAABHKIBwQgAAwKx6gHBCAACAEs2AcEIAAMBDxIFwQgAAgKkWgnBCAABAD2mCcEIAAAB1u4JwQgAAwNoNg3BCAAAADAWEcEIAAMBxV4RwQgAAgNephHBCAABAPfyEcEIAAACjToVwQgAAADqYhnBCAADAn+qGcEIAAIAFPYdwQgAAQGuPh3BCAABAAtmIcEIAAABoK4lwQgAAwM19iXBCAACAM9CJcEIAAMBkx4pwQgAAgMoZi3BCAABAMGyLcEIAAACWvotwQgAAwPsQjHBCAADAklqNcEIAAID4rI1wQgAAQF7/jXBCAAAAxFGOcEIAAED1SI9wQgAAAFubj3BCAADAwO2PcEIAAIAmQJBwQgAAQIySkHBCAACAvYmRcEIAAEAj3JFwQgAAAIkuknBCAADA7oCScEIAAIBU05JwQgAAwIXKk3BCAACA6xyUcEIAAEBRb5RwQgAAALfBlHBCAADAHBSVcEIAAABOC5ZwQgAAwLNdlnBCAACAGbCWcEIAAEB/ApdwQgAAAOVUl3BCAAAAfJ6YcEIAAMDh8JhwQgAAgEdDmXBCAABArZWZcEIAAIDejJpwQgAAQETfmnBCAAAAqjGbcEIAAMAPhJtwQgAAgHXWm3BCAADAps2ccEIAAIAMIJ1wQgAAQHJynXBCAAAA2MSdcEIAAMA9F55wQgAAAG8On3BCAADA1GCfcEIAAIA6s59wQgAAQKAFoHBCAAAABligcEIAAEA3T6FwQgAAAJ2hoXBCAADAAvShcEIAAIBoRqJwQgAAQM6YonBCAACA/4+jcEIAAEBl4qNwQgAAAMs0pHBCAADAMIekcEIAAICW2aRwQgAAwMfQpXBCAACALSOmcEIAAECTdaZwQgAAAPnHpnBCAADAXhqncEIAAACQEahwQgAAwPVjqHBCAACAW7aocEIAAEDBCKlwQgAAQFhSqnBCAAAAvqSqcEIAAMAj96pwQgAAgIlJq3BCAABA75urcEIAAIAgk6xwQgAAQIblrHBCAAAA7DetcEIAAMBRiq1wQgAAgLfcrXBCAADA6NOucEIAAIBOJq9wQgAAQLR4r3BCAAAAGsuvcEIAAMB/HbBwQgAAALEUsXBCAADAFmexcEIAAIB8ubFwQgAAQOILsnBCAAAASF6ycEIAAEB5VbNwQgAAAN+ns3BCAADARPqzcEIAAICqTLRwQgAAQBCftHBCAACAQZa1cEIAAECn6LVwQgAAAA07tnBCAADAco22cEIAAIDY37ZwQgAAgG8puHBCAABA1Xu4cEIAAAA7zrhwQgAAwKAguXBCAAAA0he6cEIAAMA3arpwQgAAgJ28unBCAABAAw+7cEIAAABpYbtwQgAAQJpYvHBCAAAAAKu8cEIAAMBl/bxwQgAAgMtPvXBCAABAMaK9cEIAAIBimb5wQgAAQMjrvnBCAAAALj6/cEIAAMCTkL9wQgAAgPniv3BCAADAKtrAcEIAAICQLMFwQgAAQPZ+wXBCAAAAXNHBcEIAAMDBI8JwQgAAAPMaw3BCAACAvr/DcEIAAEAkEsRwQgAAAIpkxHBCAABAu1vFcEIAAAAhrsVwQgAAwIYAxnBCAACA7FLGcEIAAEBSpcZwQgAAgIOcx3BCAABA6e7HcEIAAABPQchwQgAAwLSTyHBCAACAGubIcEIAAMBL3clwQgAAgLEvynBCAABAF4LKcEIAAAB91MpwQgAAwOImy3BCAAAAFB7McEIAAMB5cMxwQgAAgN/CzHBCAABARRXNcEIAAACrZ81wQgAAQNxeznBCAAAAQrHOcEIAAMCnA89wQgAAgA1Wz3BCAABAc6jPcEIAAICkn9BwQgAAQAry0HBCAAAAcETRcEIAAMDVltFwQgAAgDvp0XBCAADAbODScEIAAIDSMtNwQgAAQDiF03BCAAAAntfTcEIAAMADKtRwQgAAADUh1XBCAADAmnPVcEIAAIAAxtVwQgAAQGYY1nBCAAAAzGrWcEIAAABjtNdwQgAAwMgG2HBCAACALlnYcEIAAECUq9hwQgAAgMWi2XBCAABAK/XZcEIAAACRR9pwQgAAwPaZ2nBCAACAXOzacEIAAMCN49twQgAAgPM13HBCAABAWYjccEIAAAC/2txwQgAAwCQt3XBCAAAAViTecEIAAMC7dt5wQgAAgCHJ3nBCAABAhxvfcEIAAADtbd9wQgAAQB5l4HBCAAAAhLfgcEIAAMDpCeFwQgAAgE9c4XBCAABAta7hcEIAAIDmpeJwQgAAQEz44nBCAAAAskrjcEIAAMAXneNwQgAAgH3v43BCAADArubkcEIAAIAUOeVwQgAAQHqL5XBCAAAA4N3lcEIAAMBFMOZwQgAAAHcn53BCAADA3HnncEIAAIBCzOdwQgAAQKge6HBCAAAADnHocEIAAEA/aOlwQgAAAKW66XBCAADACg3qcEIAAIBwX+pwQgAAQNax6nBCAACAB6nrcEIAAEBt++twQgAAANNN7HBCAADAOKDscEIAAICe8uxwQgAAwM/p7XBCAACANTzucEIAAECbju5wQgAAAAHh7nBCAADAZjPvcEIAAACYKvBwQgAAwP188HBCAACAY8/wcEIAAAAvdPFwQgAAQGBr8nBCAAAAxr3ycEIAAMArEPNwQgAAgJFi83BCAABA97TzcEIAAIAorPRwQgAAQI7+9HBCAAAA9FD1cEIAAMBZo/VwQgAAgL/19XBCAADA8Oz2cEIAAIBWP/dwQgAAQLyR93BCAAAAIuT3cEIAAMCHNvhwQgAAALkt+XBCAADAHoD5cEIAAICE0vlwQgAAQOok+nBCAAAAUHf6cEIAAADnwPtwQgAAwEwT/HBCAACAsmX8cEIAAEAYuPxwQgAAABVU/nBCAADAeqb+cEIAAIDg+P5wQgAAwBHw/3BCAACAd0IAcUIAAEDdlABxQgAAAEPnAHFCAADAqDkBcUIAAMA/gwJxQgAAgKXVAnFCAABACygDcUIAAABxegNxQgAAQKJxBHFCAAAACMQEcUIAAMBtFgVxQgAAgNNoBXFCAABAObsFcUIAAIBqsgZxQgAAQNAEB3FCAAAANlcHcUIAAMCbqQdxQgAAgAH8B3FCAADAMvMIcUIAAICYRQlxQgAAQP6XCXFCAAAAZOoJcUIAAMDJPApxQgAAAPszC3FCAADAYIYLcUIAAIDG2AtxQgAAQCwrDHFCAAAAkn0McUIAAAApxw1xQgAAwI4ZDnFCAACA9GsOcUIAAEBavg5xQgAAgIu1D3FCAABA8QcQcUIAAABXWhBxQgAAwLysEHFCAACAIv8QcUIAAMBT9hFxQgAAgLlIEnFCAABAH5sScUIAAACF7RJxQgAAwOo/E3FCAAAAHDcUcUIAAMCBiRRxQgAAgOfbFHFCAABATS4VcUIAAACzgBVxQgAAQOR3FnFCAAAASsoWcUIAAMCvHBdxQgAAgBVvF3FCAABAe8EXcUIAAICsuBhxQgAAQBILGXFCAAAAeF0ZcUIAAMDdrxlxQgAAgEMCGnFCAADAdPkacUIAAIDaSxtxQgAAQECeG3FCAAAApvAbcUIAAAA9Oh1xQgAAwKKMHXFCAACACN8dcUIAAEBuMR5xQgAAANSDHnFCAABABXsfcUIAAABrzR9xQgAAwNAfIHFCAACANnIgcUIAAECcxCBxQgAAgM27IXFCAABAMw4icUIAAACZYCJxQgAAwP6yInFCAACAZAUjcUIAAMCV/CNxQgAAgPtOJHFCAABAYaEkcUIAAADH8yRxQgAAwCxGJXFCAAAAXj0mcUIAAMDDjyZxQgAAgCniJnFCAABAjzQncUIAAAD1hidxQgAAQCZ+KHFCAAAAjNAocUIAAMDxIilxQgAAgFd1KXFCAABAvccpcUIAAIDuvipxQgAAQFQRK3FCAAAAumMrcUIAAMAftitxQgAAgIUILHFCAACAHFItcUIAAECCpC1xQgAAAOj2LXFCAADATUkucUIAAAB/QC9xQgAAwOSSL3FCAACASuUvcUIAAECwNzBxQgAAABaKMHFCAABAR4ExcUIAAACt0zFxQgAAwBImMnFCAACAeHgycUIAAEDeyjJxQgAAgA/CM3FCAABAdRQ0cUIAAADbZjRxQgAAwEC5NHFCAACApgs1cUIAAMDXAjZxQgAAgD1VNnFCAABAo6c2cUIAAAAJ+jZxQgAAwG5MN3FCAAAAoEM4cUIAAMAFljhxQgAAQNE6OXFCAAAAN405cUIAAEBohDpxQgAAAM7WOnFCAADAMyk7cUIAAICZeztxQgAAQP/NO3FCAACAMMU8cUIAAECWFz1xQgAAAPxpPXFCAADAYbw9cUIAAIDHDj5xQgAAwPgFP3FCAACAXlg/cUIAAEDEqj9xQgAAACr9P3FCAADAj09AcUIAAADBRkFxQgAAwCaZQXFCAACAjOtBcUIAAEDyPUJxQgAAAFiQQnFCAABAiYdDcUIAAADv2UNxQgAAwFQsRHFCAACAun5EcUIAAEAg0URxQgAAgFHIRXFCAABAtxpGcUIAAAAdbUZxQgAAwIK/RnFCAACA6BFHcUIAAMAZCUhxQgAAgH9bSHFCAABA5a1IcUIAAABLAElxQgAAwLBSSXFCAAAA4klKcUIAAMBHnEpxQgAAgK3uSnFCAABAE0FLcUIAAAB5k0txQgAAABDdTHFCAADAdS9NcUIAAIDbgU1xQgAAQEHUTXFCAACAcstOcUIAAEDYHU9xQgAAAD5wT3FCAADAo8JPcUIAAIAJFVBxQgAAwDoMUXFCAACAoF5RcUIAAEAGsVFxQgAAAGwDUnFCAADA0VVScUIAAAADTVNxQgAAwGifU3FCAACAzvFTcUIAAEA0RFRxQgAAAJqWVHFCAABAy41VcUIAAAAx4FVxQgAAwJYyVnFCAACA/IRWcUIAAEBi11ZxQgAAgJPOV3FCAABA+SBYcUIAAABfc1hxQgAAwMTFWHFCAACAKhhZcUIAAMBbD1pxQgAAgMFhWnFCAABAJ7RacUIAAACNBltxQgAAwPJYW3FCAAAAJFBccUIAAMCJolxxQgAAgO/0XHFCAABAVUddcUIAAAC7mV1xQgAAQOyQXnFCAAAAUuNecUIAAMC3NV9xQgAAgB2IX3FCAABAg9pfcUIAAIC00WBxQgAAQBokYXFCAAAAgHZhcUIAAMDlyGFxQgAAgEsbYnFCAADAfBJjcUIAAIDiZGNxQgAAQEi3Y3FCAAAArglkcUIAAMATXGRxQgAAAEVTZXFCAADAqqVlcUIAAIAQ+GVxQgAAANycZnFCAABADZRncUIAAABz5mdxQgAAwNg4aHFCAACAPotocUIAAECk3WhxQgAAgNXUaXFCAABAOydqcUIAAACheWpxQgAAwAbManFCAACAbB5rcUIAAMCdFWxxQgAAgANobHFCAABAabpscUIAAADPDG1xQgAAwDRfbXFCAAAAZlZucUIAAMDLqG5xQgAAgDH7bnFCAABAl01vcUIAAAD9n29xQgAAQC6XcHFCAADA+TtxcUIAAIBfjnFxQgAAQMXgcXFCAACA9tdycUIAAADCfHNxQgAAwCfPc3FCAACAjSF0cUIAAMC+GHVxQgAAgCRrdXFCAABAir11cUIAAADwD3ZxQgAAwFVidnFCAAAAh1l3cUIAAMDsq3dxQgAAgFL+d3FCAABAuFB4cUIAAAAeo3hxQgAAALXseXFCAADAGj96cUIAAICAkXpxQgAAQObjenFCAACAF9t7cUIAAEB9LXxxQgAAAON/fHFCAADASNJ8cUIAAICuJH1xQgAAwN8bfnFCAACARW5+cUIAAECrwH5xQgAAABETf3FCAADAdmV/cUIAAACoXIBxQgAAwA2vgHFCAACAcwGBcUIAAEDZU4FxQgAAAD+mgXFCAAAA1u+CcUIAAMA7QoNxQgAAgKGUg3FCAABAB+eDcUIAAIA43oRxQgAAQJ4whXFCAAAABIOFcUIAAMBp1YVxQgAAgM8nhnFCAADAAB+HcUIAAIBmcYdxQgAAQMzDh3FCAAAAMhaIcUIAAMCXaIhxQgAAAMlfiXFCAADALrKJcUIAAICUBIpxQgAAQPpWinFCAAAAYKmKcUIAAECRoItxQgAAAPfyi3FCAADAXEWMcUIAAIDCl4xxQgAAgFnhjXFCAABAvzOOcUIAAAAlho5xQgAAwIrYjnFCAACA8CqPcUIAAMAhIpBxQgAAgId0kHFCAABA7caQcUIAAABTGZFxQgAAwLhrkXFCAAAA6mKScUIAAMBPtZJxQgAAgLUHk3FCAABAG1qTcUIAAACBrJNxQgAAQLKjlHFCAAAAGPaUcUIAAMB9SJVxQgAAgOOalXFCAABASe2VcUIAAIB65JZxQgAAQOA2l3FCAAAARomXcUIAAMCr25dxQgAAgBEumHFCAADAQiWZcUIAAICod5lxQgAAQA7KmXFCAAAAdByacUIAAMDZbppxQgAAAAtmm3FCAADAcLibcUIAAIDWCpxxQgAAQDxdnHFCAAAAoq+ccUIAAEDTpp1xQgAAADn5nXFCAADAnkuecUIAAIAEnp5xQgAAQGrwnnFCAACAm+efcUIAAEABOqBxQgAAAGeMoHFCAADAzN6gcUIAAIAyMaFxQgAAgMl6onFCAABAL82icUIAAACVH6NxQgAAwPpxo3FCAAAALGmkcUIAAMCRu6RxQgAAgPcNpXFCAABAXWClcUIAAADDsqVxQgAAQPSppnFCAAAAWvymcUIAAMC/TqdxQgAAgCWhp3FCAABAi/OncUIAAIC86qhxQgAAQCI9qXFCAAAAiI+pcUIAAMDt4alxQgAAgFM0qnFCAADAhCurcUIAAIDqfatxQgAAQFDQq3FCAAAAtiKscUIAAMAbdaxxQgAAAE1srXFCAADAsr6tcUIAAIAYEa5xQgAAQH5jrnFCAABAFa2vcUIAAAB7/69xQgAAwOBRsHFCAACARqSwcUIAAECs9rBxQgAAgN3tsXFCAABAQ0CycUIAAACpkrJxQgAAwA7lsnFCAACAdDezcUIAAMClLrRxQgAAgAuBtHFCAABAcdO0cUIAAADXJbVxQgAAwDx4tXFCAAAAbm+2cUIAAMDTwbZxQgAAgDkUt3FCAABAn2a3cUIAAAAFubdxQgAAQDawuHFCAAAAnAK5cUIAAMABVblxQgAAgGenuXFCAABAzfm5cUIAAID+8LpxQgAAQGRDu3FCAAAAypW7cUIAAMAv6LtxQgAAgJU6vHFCAADAxjG9cUIAAIAshL1xQgAAQJLWvXFCAAAA+Ci+cUIAAMBde75xQgAAAI9yv3FCAADA9MS/cUIAAIBaF8BxQgAAQMBpwHFCAAAAJrzAcUIAAAC9BcJxQgAAwCJYwnFCAACAiKrCcUIAAEDu/MJxQgAAgB/0w3FCAABAhUbEcUIAAADrmMRxQgAAwFDrxHFCAACAtj3FcUIAAMDnNMZxQgAAgE2HxnFCAABAs9nGcUIAAAAZLMdxQgAAwH5+x3FCAAAAsHXIcUIAAMAVyMhxQgAAgHsayXFCAABA4WzJcUIAAABHv8lxQgAAQHi2ynFCAAAA3gjLcUIAAMBDW8txQgAAgKmty3FCAABADwDMcUIAAIBA98xxQgAAQKZJzXFCAAAADJzNcUIAAMBx7s1xQgAAgNdAznFCAADACDjPcUIAAIBuis9xQgAAQNTcz3FCAAAAOi/QcUIAAMCfgdBxQgAAANF40XFCAADANsvRcUIAAICcHdJxQgAAQAJw0nFCAAAAaMLScUIAAECZudNxQgAAAP8L1HFCAADAZF7UcUIAAIDKsNRxQgAAQDAD1XFCAACAYfrVcUIAAEDHTNZxQgAAAC2f1nFCAADAkvHWcUIAAID4Q9dxQgAAwCk72HFCAACAj43YcUIAAED139hxQgAAAFsy2XFCAADAwITZcUIAAADye9pxQgAAwFfO2nFCAACAvSDbcUIAAEAjc9txQgAAAInF23FCAABAurzccUIAAAAgD91xQgAAwIVh3XFCAABAUQbecUIAAICC/d5xQgAAQOhP33FCAAAATqLfcUIAAMCz9N9xQgAAgBlH4HFCAADASj7hcUIAAICwkOFxQgAAQBbj4XFCAAAAfDXicUIAAMDhh+JxQgAAABN/43FCAADAeNHjcUIAAIDeI+RxQgAAQER25HFCAAAAqsjkcUIAAEDbv+VxQgAAAEES5nFCAADApmTmcUIAAEByCedxQgAAgKMA6HFCAABACVPocUIAAABvpehxQgAAgDpK6XFCAADAa0HqcUIAAIDRk+pxQgAAQDfm6nFCAAAAnTjrcUIAAMACi+txQgAAADSC7HFCAADAmdTscUIAAID/Ju1xQgAAQGV57XFCAAAAy8vtcUIAAABiFe9xQgAAwMdn73FCAACALbrvcUIAAECTDPBxQgAAgMQD8XFCAABAKlbxcUIAAACQqPFxQgAAwPX68XFCAACAW03ycUIAAMCMRPNxQgAAgPKW83FCAABAWOnzcUIAAAC+O/RxQgAAwCOO9HFCAAAAVYX1cUIAAMC61/VxQgAAgCAq9nFCAABAhnz2cUIAAADszvZxQgAAAIMY+HFCAADA6Gr4cUIAAIBOvfhxQgAAQLQP+XFCAACA5Qb6cUIAAEBLWfpxQgAAALGr+nFCAADAFv76cUIAAIB8UPtxQgAAwK1H/HFCAACAE5r8cUIAAEB57PxxQgAAAN8+/XFCAADARJH9cUIAAAB2iP5xQgAAwNva/nFCAACAQS3/cUIAAECnf/9xQgAAAA3S/3FCAABAPskAckIAAACkGwFyQgAAwAluAXJCAACAb8ABckIAAEDVEgJyQgAAgAYKA3JCAABAbFwDckIAAADSrgNyQgAAwDcBBHJCAACAnVMEckIAAMDOSgVyQgAAgDSdBXJCAABAmu8FckIAAAAAQgZyQgAAwGWUBnJCAAAAl4sHckIAAMD83QdyQgAAgGIwCHJCAABAyIIIckIAAEBfzAlyQgAAAMUeCnJCAADAKnEKckIAAICQwwpyQgAAQPYVC3JCAACAJw0MckIAAECNXwxyQgAAAPOxDHJCAADAWAQNckIAAIC+Vg1yQgAAwO9NDnJCAACAVaAOckIAAEC78g5yQgAAACFFD3JCAADAhpcPckIAAAC4jhByQgAAwB3hEHJCAACAgzMRckIAAEDphRFyQgAAAE/YEXJCAABAgM8SckIAAADmIRNyQgAAwEt0E3JCAACAscYTckIAAEAXGRRyQgAAgEgQFXJCAABArmIVckIAAAAUtRVyQgAAwHkHFnJCAACA31kWckIAAIB2oxdyQgAAQNz1F3JCAAAAQkgYckIAAMCnmhhyQgAAANmRGXJCAADAPuQZckIAAICkNhpyQgAAQAqJGnJCAAAAcNsackIAAECh0htyQgAAAAclHHJCAADAbHccckIAAIDSyRxyQgAAQDgcHXJCAACAaRMeckIAAEDPZR5yQgAAADW4HnJCAADAmgofckIAAIAAXR9yQgAAwDFUIHJCAACAl6YgckIAAED9+CByQgAAAGNLIXJCAADAyJ0hckIAAAD6lCJyQgAAwF/nInJCAACAxTkjckIAAEArjCNyQgAAQMLVJHJCAAAAKCglckIAAMCNeiVyQgAAgPPMJXJCAABAWR8mckIAAICKFidyQgAAQPBoJ3JCAAAAVrsnckIAAMC7DShyQgAAgCFgKHJCAADAUlcpckIAAIC4qSlyQgAAQB78KXJCAAAAhE4qckIAAMDpoCpyQgAAABuYK3JCAADAgOorckIAAIDmPCxyQgAAQEyPLHJCAAAAsuEsckIAAEDj2C1yQgAAAEkrLnJCAADArn0uckIAAIAU0C5yQgAAQHoiL3JCAACAqxkwckIAAEARbDByQgAAAHe+MHJCAADA3BAxckIAAIBCYzFyQgAAwHNaMnJCAACA2awyckIAAEA//zJyQgAAAKVRM3JCAADACqQzckIAAAA8mzRyQgAAwKHtNHJCAACAB0A1ckIAAEBtkjVyQgAAANPkNXJCAABABNw2ckIAAABqLjdyQgAAwM+AN3JCAACANdM3ckIAAECbJThyQgAAQDJvOXJCAAAAmME5ckIAAMD9EzpyQgAAgGNmOnJCAADAlF07ckIAAID6rztyQgAAQGACPHJCAAAAxlQ8ckIAAMArpzxyQgAAAF2ePXJCAADAwvA9ckIAAIAoQz5yQgAAQI6VPnJCAAAA9Oc+ckIAAEAl3z9yQgAAAIsxQHJCAADA8INAckIAAIBW1kByQgAAQLwoQXJCAACA7R9CckIAAEBTckJyQgAAALnEQnJCAADAHhdDckIAAICEaUNyQgAAwLVgRHJCAACAG7NEckIAAECBBUVyQgAAAOdXRXJCAADATKpFckIAAAB+oUZyQgAAwOPzRnJCAACASUZHckIAAECvmEdyQgAAABXrR3JCAABARuJIckIAAACsNElyQgAAwBGHSXJCAACAd9lJckIAAEDdK0pyQgAAgA4jS3JCAABAdHVLckIAAADax0tyQgAAwD8aTHJCAACApWxMckIAAMDWY01yQgAAgDy2TXJCAABAoghOckIAAAAIW05yQgAAwG2tTnJCAAAAn6RPckIAAMAE909yQgAAgGpJUHJCAABA0JtQckIAAAA27lByQgAAQGflUXJCAAAAzTdSckIAAMAyilJyQgAAQP4uU3JCAACALyZUckIAAECVeFRyQgAAAPvKVHJCAADAYB1VckIAAIDGb1VyQgAAwPdmVnJCAACAXblWckIAAEDDC1dyQgAAACleV3JCAADAjrBXckIAAADAp1hyQgAAwCX6WHJCAACAi0xZckIAAEDxnllyQgAAAFfxWXJCAABAiOhackIAAADuOltyQgAAwFONW3JCAACAud9bckIAAIBQKV1yQgAAQLZ7XXJCAAAAHM5dckIAAMCBIF5yQgAAwBhqX3JCAACAfrxfckIAAEDkDmByQgAAAEphYHJCAADAr7NgckIAAADhqmFyQgAAwEb9YXJCAACArE9ickIAAEASomJyQgAAAHj0YnJCAAAADz5kckIAAMB0kGRyQgAAgNriZHJCAABAQDVlckIAAIBxLGZyQgAAQNd+ZnJCAAAAPdFmckIAAMCiI2dyQgAAgAh2Z3JCAADAOW1ockIAAICfv2hyQgAAQAUSaXJCAAAAa2RpckIAAMDQtmlyQgAAAAKuanJCAADAZwBrckIAAIDNUmtyQgAAQDOla3JCAAAAmfdrckIAAAAwQW1yQgAAwJWTbXJCAACA++VtckIAAEBhOG5yQgAAgJIvb3JCAABA+IFvckIAAABe1G9yQgAAwMMmcHJCAACAKXlwckIAAMBacHFyQgAAgMDCcXJCAABAJhVyckIAAACMZ3JyQgAAwPG5cnJCAAAAI7FzckIAAMCIA3RyQgAAgO5VdHJCAABAVKh0ckIAAAC6+nRyQgAAQOvxdXJCAAAAUUR2ckIAAMC2lnZyQgAAgBzpdnJCAABAgjt3ckIAAICzMnhyQgAAQBmFeHJCAAAAf9d4ckIAAMDkKXlyQgAAgEp8eXJCAADAe3N6ckIAAIDhxXpyQgAAQEcYe3JCAAAArWp7ckIAAABEtHxyQgAAwKkGfXJCAACAD1l9ckIAAEB1q31yQgAAANv9fXJCAABADPV+ckIAAAByR39yQgAAwNeZf3JCAACAPex/ckIAAECjPoByQgAAgNQ1gXJCAABAOoiBckIAAACg2oFyQgAAwAUtgnJCAACAa3+CckIAAMCcdoNyQgAAgALJg3JCAABAaBuEckIAAADObYRyQgAAwDPAhHJCAAAAZbeFckIAAMDKCYZyQgAAgDBchnJCAABAlq6GckIAAAD8AIdyQgAAQC34h3JCAAAAk0qIckIAAMD4nIhyQgAAgF7viHJCAABAxEGJckIAAID1OIpyQgAAQFuLinJCAAAAwd2KckIAAMAmMItyQgAAgIyCi3JCAADAvXmMckIAAIAjzIxyQgAAQIkejXJCAAAA73CNckIAAMBUw41yQgAAwOsMj3JCAACAUV+PckIAAEC3sY9yQgAAAB0EkHJCAABATvuQckIAAAC0TZFyQgAAwBmgkXJCAACAf/KRckIAAEDlRJJyQgAAgBY8k3JCAABAfI6TckIAAADi4JNyQgAAwEczlHJCAACArYWUckIAAMDefJVyQgAAgETPlXJCAABAqiGWckIAAAAQdJZyQgAAwHXGlnJCAAAAp72XckIAAMAMEJhyQgAAgHJimHJCAABA2LSYckIAAAA+B5lyQgAAANVQmnJCAADAOqOackIAAICg9ZpyQgAAQAZIm3JCAACANz+cckIAAECdkZxyQgAAAAPknHJCAADAaDadckIAAIDOiJ1yQgAAwP9/nnJCAACAZdKeckIAAEDLJJ9yQgAAADF3n3JCAADAlsmfckIAAADIwKByQgAAwC0ToXJCAACAk2WhckIAAED5t6FyQgAAAF8KonJCAABAkAGjckIAAAD2U6NyQgAAwFumo3JCAACAwfijckIAAEAnS6RyQgAAgFhCpXJCAABAvpSlckIAAAAk56VyQgAAwIk5pnJCAACA74umckIAAMAgg6dyQgAAgIbVp3JCAABA7CeockIAAABSeqhyQgAAwLfMqHJCAAAA6cOpckIAAMBOFqpyQgAAgLRoqnJCAABAGruqckIAAACADatyQgAAQLEErHJCAAAAF1esckIAAMB8qaxyQgAAgOL7rHJCAABASE6tckIAAEDfl65yQgAAAEXqrnJCAADAqjyvckIAAIAQj69yQgAAwEGGsHJCAACAp9iwckIAAEANK7FyQgAAAHN9sXJCAADA2M+xckIAAAAKx7JyQgAAwG8Zs3JCAACA1WuzckIAAEA7vrNyQgAAAKEQtHJCAABA0ge1ckIAAAA4WrVyQgAAwJ2stXJCAACAA/+1ckIAAEBpUbZyQgAAgJpIt3JCAABAAJu3ckIAAABm7bdyQgAAwMs/uHJCAACAMZK4ckIAAMBiiblyQgAAgMjbuXJCAABALi66ckIAAACUgLpyQgAAwPnSunJCAAAAK8q7ckIAAMCQHLxyQgAAgPZuvHJCAABAXMG8ckIAAADCE71yQgAAQPMKvnJCAAAAWV2+ckIAAMC+r75yQgAAgCQCv3JCAABAilS/ckIAAIC7S8ByQgAAQCGewHJCAAAAh/DAckIAAMDsQsFyQgAAgFKVwXJCAADAg4zCckIAAIDp3sJyQgAAQE8xw3JCAAAAtYPDckIAAMAa1sNyQgAAAEzNxHJCAADAsR/FckIAAIAXcsVyQgAAQH3ExXJCAAAA4xbGckIAAEAUDsdyQgAAAHpgx3JCAADA37LHckIAAECrV8hyQgAAgNxOyXJCAABAQqHJckIAAACo88lyQgAAwA1GynJCAACAc5jKckIAAMCkj8tyQgAAgAriy3JCAABAcDTMckIAAADWhsxyQgAAwDvZzHJCAAAAbdDNckIAAMDSIs5yQgAAgDh1znJCAABAnsfOckIAAAAEGs9yQgAAQDUR0HJCAAAAm2PQckIAAMAAttByQgAAgGYI0XJCAACA/VHSckIAAEBjpNJyQgAAAMn20nJCAADALknTckIAAICUm9NyQgAAwMWS1HJCAACAK+XUckIAAECRN9VyQgAAAPeJ1XJCAADAXNzVckIAAACO09ZyQgAAwPMl13JCAACAWXjXckIAAEC/ytdyQgAAACUd2HJCAAAAvGbZckIAAMAhudlyQgAAgIcL2nJCAABA7V3ackIAAIAeVdtyQgAAQISn23JCAAAA6vnbckIAAMBPTNxyQgAAgLWe3HJCAADA5pXdckIAAIBM6N1yQgAAQLI63nJCAAAAGI3eckIAAMB9395yQgAAAK/W33JCAADAFCngckIAAIB6e+ByQgAAQODN4HJCAAAARiDhckIAAEB3F+JyQgAAAN1p4nJCAADAQrzickIAAICoDuNyQgAAQA5h43JCAABAparkckIAAAAL/eRyQgAAwHBP5XJCAACA1qHlckIAAMAHmeZyQgAAgG3r5nJCAABA0z3nckIAAAA5kOdyQgAAwJ7i53JCAAAA0NnockIAAMA1LOlyQgAAgJt+6XJCAABAAdHpckIAAABnI+pyQgAAQJga63JCAAAA/mzrckIAAMBjv+tyQgAAgMkR7HJCAABAL2TsckIAAIBgW+1yQgAAQMat7XJCAAAALADuckIAAMCRUu5yQgAAgPek7nJCAADAKJzvckIAAICO7u9yQgAAQPRA8HJCAAAAWpPwckIAAMC/5fByQgAAAPHc8XJCAADAVi/yckIAAIC8gfJyQgAAQCLU8nJCAAAAiCbzckIAAEC5HfRyQgAAAB9w9HJCAADAhML0ckIAAIDqFPVyQgAAQFBn9XJCAACAgV72ckIAAEDnsPZyQgAAAE0D93JCAADAslX3ckIAAMBJn/hyQgAAgK/x+HJCAABAFUT5ckIAAAB7lvlyQgAAwODo+XJCAAAAEuD6ckIAAMB3MvtyQgAAgN2E+3JCAABAQ9f7ckIAAACpKfxyQgAAQNog/XJCAAAAQHP9ckIAAMClxf1yQgAAgAsY/nJCAABAcWr+ckIAAICiYf9yQgAAQAi0/3JCAAAAbgYAc0IAAMDTWABzQgAAgDmrAHNCAADAaqIBc0IAAIDQ9AFzQgAAQDZHAnNCAAAAnJkCc0IAAMAB7AJzQgAAwJg1BHNCAACA/ocEc0IAAEBk2gRzQgAAAMosBXNCAABA+yMGc0IAAABhdgZzQgAAwMbIBnNCAACALBsHc0IAAECSbQdzQgAAgMNkCHNCAABAKbcIc0IAAACPCQlzQgAAwPRbCXNCAACAWq4Jc0IAAMCLpQpzQgAAgPH3CnNCAABAV0oLc0IAAAC9nAtzQgAAwCLvC3NCAAAAVOYMc0IAAMC5OA1zQgAAgB+LDXNCAABAhd0Nc0IAAADrLw5zQgAAAIJ5D3NCAADA58sPc0IAAIBNHhBzQgAAQLNwEHNCAACA5GcRc0IAAEBKuhFzQgAAALAMEnNCAADAFV8Sc0IAAIB7sRJzQgAAwKyoE3NCAACAEvsTc0IAAEB4TRRzQgAAAN6fFHNCAADAQ/IUc0IAAAB16RVzQgAAwNo7FnNCAACAQI4Wc0IAAECm4BZzQgAAAAwzF3NCAABAPSoYc0IAAACjfBhzQgAAwAjPGHNCAACAbiEZc0IAAEDUcxlzQgAAgAVrGnNCAABAa70ac0IAAADRDxtzQgAAwDZiG3NCAACAnLQbc0IAAMDNqxxzQgAAgDP+HHNCAABAmVAdc0IAAAD/oh1zQgAAwGT1HXNCAAAAluwec0IAAMD7Ph9zQgAAgGGRH3NCAABAx+Mfc0IAAAAtNiBzQgAAQF4tIXNCAAAAxH8hc0IAAMAp0iFzQgAAgI8kInNCAABA9XYic0IAAECMwCNzQgAAAPISJHNCAADAV2Ukc0IAAIC9tyRzQgAAwO6uJXNCAACAVAEmc0IAAEC6UyZzQgAAACCmJnNCAADAhfgmc0IAAAC37ydzQgAAwBxCKHNCAACAgpQoc0IAAEDo5ihzQgAAAE45KXNCAABAfzAqc0IAAADlgipzQgAAwErVKnNCAACAsCcrc0IAAEAWeitzQgAAgEdxLHNCAABArcMsc0IAAAATFi1zQgAAwHhoLXNCAACA3rotc0IAAMAPsi5zQgAAgHUEL3NCAABA21Yvc0IAAABBqS9zQgAAwKb7L3NCAAAA2PIwc0IAAMA9RTFzQgAAgKOXMXNCAABACeoxc0IAAABvPDJzQgAAQKAzM3NCAAAABoYzc0IAAMBr2DNzQgAAgNEqNHNCAABAN300c0IAAIBodDVzQgAAQM7GNXNCAAAANBk2c0IAAMCZazZzQgAAgP+9NnNCAADAMLU3c0IAAICWBzhzQgAAQPxZOHNCAAAAYqw4c0IAAMDH/jhzQgAAAPn1OXNCAADAXkg6c0IAAIDEmjpzQgAAQCrtOnNCAAAAkD87c0IAAEDBNjxzQgAAACeJPHNCAADAjNs8c0IAAEBYgD1zQgAAgIl3PnNCAABA78k+c0IAAABVHD9zQgAAwLpuP3NCAACAIME/c0IAAMBRuEBzQgAAgLcKQXNCAABAHV1Bc0IAAACDr0FzQgAAwOgBQnNCAAAAGvlCc0IAAMB/S0NzQgAAgOWdQ3NCAABAS/BDc0IAAACxQkRzQgAAQOI5RXNCAAAASIxFc0IAAMCt3kVzQgAAgBMxRnNCAABAeYNGc0IAAEAQzUdzQgAAAHYfSHNCAADA23FIc0IAAIBBxEhzQgAAgNgNSnNCAABAPmBKc0IAAACkskpzQgAAwAkFS3NCAAAAO/xLc0IAAMCgTkxzQgAAgAahTHNCAABAbPNMc0IAAADSRU1zQgAAAGmPTnNCAADAzuFOc0IAAIA0NE9zQgAAQJqGT3NCAACAy31Qc0IAAEAx0FBzQgAAAJciUXNCAADA/HRRc0IAAIBix1FzQgAAwJO+UnNCAACA+RBTc0IAAEBfY1NzQgAAAMW1U3NCAADAKghUc0IAAABc/1RzQgAAwMFRVXNCAACAJ6RVc0IAAECN9lVzQgAAAPNIVnNCAABAJEBXc0IAAACKkldzQgAAwO/kV3NCAACAVTdYc0IAAEC7iVhzQgAAQFLTWXNCAAAAuCVac0IAAMAdeFpzQgAAgIPKWnNCAADAtMFbc0IAAIAaFFxzQgAAQIBmXHNCAAAA5rhcc0IAAMBLC11zQgAAAH0CXnNCAADA4lRec0IAAIBIp15zQgAAQK75XnNCAAAAFExfc0IAAEBFQ2BzQgAAAKuVYHNCAADAEOhgc0IAAIB2OmFzQgAAQNyMYXNCAACADYRic0IAAEBz1mJzQgAAANkoY3NCAADAPntjc0IAAICkzWNzQgAAwNXEZHNCAACAOxdlc0IAAEChaWVzQgAAAAe8ZXNCAADAbA5mc0IAAACeBWdzQgAAwANYZ3NCAACAaapnc0IAAEDP/GdzQgAAQGZGaXNCAAAAzJhpc0IAAMAx62lzQgAAgJc9anNCAABA/Y9qc0IAAIAuh2tzQgAAQJTZa3NCAAAA+itsc0IAAMBffmxzQgAAgMXQbHNCAADA9sdtc0IAAIBcGm5zQgAAQMJsbnNCAAAAKL9uc0IAAMCNEW9zQgAAAL8IcHNCAADAJFtwc0IAAICKrXBzQgAAQPD/cHNCAAAAVlJxc0IAAECHSXJzQgAAAO2bcnNCAADAUu5yc0IAAIC4QHNzQgAAQB6Tc3NCAACAT4p0c0IAAEC13HRzQgAAABsvdXNCAADAgIF1c0IAAIDm03VzQgAAwBfLdnNCAACAfR13c0IAAEDjb3dzQgAAAEnCd3NCAADArhR4c0IAAMBFXnlzQgAAgKuweXNCAABAEQN6c0IAAAB3VXpzQgAAQKhMe3NCAAAADp97c0IAAMBz8XtzQgAAgNlDfHNCAABAP5Z8c0IAAIBwjX1zQgAAQNbffXNCAAAAPDJ+c0IAAMChhH5zQgAAgAfXfnNCAADAOM5/c0IAAICeIIBzQgAAQARzgHNCAAAAasWAc0IAAMDPF4FzQgAAAAEPgnNCAADAZmGCc0IAAIDMs4JzQgAAQDIGg3NCAAAAmFiDc0IAAEDJT4RzQgAAAC+ihHNCAACA+kaFc0IAAEBgmYVzQgAAgJGQhnNCAABA9+KGc0IAAABdNYdzQgAAwMKHh3NCAACAKNqHc0IAAMBZ0YhzQgAAgL8jiXNCAABAJXaJc0IAAACLyIlzQgAAwPAainNCAAAAIhKLc0IAAMCHZItzQgAAgO22i3NCAABAUwmMc0IAAAC5W4xzQgAAQOpSjXNCAAAAUKWNc0IAAMC1941zQgAAgBtKjnNCAABAgZyOc0IAAICyk49zQgAAQBjmj3NCAAAAfjiQc0IAAMDjipBzQgAAgEndkHNCAADAetSRc0IAAIDgJpJzQgAAQEZ5knNCAAAArMuSc0IAAMARHpNzQgAAAEMVlHNCAADAqGeUc0IAAIAOupRzQgAAQHQMlXNCAAAA2l6Vc0IAAEALVpZzQgAAAHGolnNCAADA1vqWc0IAAIA8TZdzQgAAQKKfl3NCAABAOemYc0IAAACfO5lzQgAAwASOmXNCAACAauCZc0IAAMCb15pzQgAAgAEqm3NCAABAZ3ybc0IAAADNzptzQgAAwDIhnHNCAAAAZBidc0IAAMDJap1zQgAAgC+9nXNCAABAlQ+ec0IAAAD7YZ5zQgAAQCxZn3NCAAAAkqufc0IAAMD3/Z9zQgAAgF1QoHNCAABAw6Kgc0IAAID0maFzQgAAQFrsoXNCAAAAwD6ic0IAAMAlkaJzQgAAgIvjonNCAADAvNqjc0IAAIAiLaRzQgAAQIh/pHNCAAAA7tGkc0IAAMBTJKVzQgAAAIUbpnNCAADA6m2mc0IAAIBQwKZzQgAAQLYSp3NCAAAAHGWnc0IAAEBNXKhzQgAAALOuqHNCAADAGAGpc0IAAIB+U6lzQgAAQOSlqXNCAAAA4UGrc0IAAMBGlKtzQgAAgKzmq3NCAADA3d2sc0IAAIBDMK1zQgAAQKmCrXNCAAAAD9Wtc0IAAMB0J65zQgAAAKYer3NCAADAC3Gvc0IAAIBxw69zQgAAQNcVsHNCAAAAPWiwc0IAAEBuX7FzQgAAANSxsXNCAADAOQSyc0IAAEAFqbJzQgAAgDags3NCAABAnPKzc0IAAAACRbRzQgAAwGeXtHNCAACAzem0c0IAAMD+4LVzQgAAgGQztnNCAABAyoW2c0IAAAAw2LZzQgAAwJUqt3NCAAAAxyG4c0IAAMAsdLhzQgAAgJLGuHNCAABA+Bi5c0IAAABea7lzQgAAQI9iunNCAAAA9bS6c0IAAMBaB7tzQgAAgMBZu3NCAABAJqy7c0IAAIBXo7xzQgAAACNIvXNCAADAiJq9c0IAAIDu7L1zQgAAwB/kvnNCAABA64i/c0IAAABR279zQgAAwLYtwHNCAAAA6CTBc0IAAMBNd8FzQgAAgLPJwXNCAABAGRzCc0IAAAB/bsJzQgAAQLBlw3NCAAAAFrjDc0IAAMB7CsRzQgAAgOFcxHNCAABAR6/Ec0IAAEDe+MVzQgAAAERLxnNCAADAqZ3Gc0IAAIAP8MZzQgAAwEDnx3NCAACApjnIc0IAAEAMjMhzQgAAAHLeyHNCAADA1zDJc0IAAAAJKMpzQgAAwG56ynNCAACA1MzKc0IAAEA6H8tzQgAAAKBxy3NCAABA0WjMc0IAAAA3u8xzQgAAwJwNzXNCAACAAmDNc0IAAEBoss1zQgAAQP/7znNCAAAAZU7Pc0IAAMDKoM9zQgAAgDDzz3NCAADAYerQc0IAAIDHPNFzQgAAQC2P0XNCAAAAk+HRc0IAAMD4M9JzQgAAACor03NCAADAj33Tc0IAAID1z9NzQgAAQFsi1HNCAAAAwXTUc0IAAEDya9VzQgAAAFi+1XNCAADAvRDWc0IAAIAjY9ZzQgAAQIm11nNCAACAuqzXc0IAAEAg/9dzQgAAAIZR2HNCAADA66PYc0IAAIBR9thzQgAAwILt2XNCAACA6D/ac0IAAEBOktpzQgAAALTk2nNCAAAASy7cc0IAAMCwgNxzQgAAgBbT3HNCAABAfCXdc0IAAADid91zQgAAQBNv3nNCAAAAecHec0IAAMDeE99zQgAAgERm33NCAABAqrjfc0IAAIDbr+BzQgAAQEEC4XNCAAAAp1Thc0IAAMAMp+FzQgAAgHL54XNCAADAo/Dic0IAAIAJQ+NzQgAAQG+V43NCAAAA1efjc0IAAMA6OuRzQgAAAGwx5XNCAADA0YPlc0IAAIA31uVzQgAAQJ0o5nNCAAAAA3vmc0IAAEA0cudzQgAAAJrE53NCAADA/xboc0IAAIBlaehzQgAAQMu76HNCAACA/LLpc0IAAEBiBepzQgAAAMhX6nNCAADALarqc0IAAICT/OpzQgAAwMTz63NCAACAKkbsc0IAAECQmOxzQgAAAPbq7HNCAADAWz3tc0IAAMDyhu5zQgAAgFjZ7nNCAABAvivvc0IAAAAkfu9zQgAAQFV18HNCAAAAu8fwc0IAAMAgGvFzQgAAgIZs8XNCAABA7L7xc0IAAIAdtvJzQgAAQIMI83NCAAAA6Vrzc0IAAMBOrfNzQgAAgLT/83NCAADA5fb0c0IAAIBLSfVzQgAAQLGb9XNCAAAAF+71c0IAAMB8QPZzQgAAAK4393NCAADAE4r3c0IAAIB53PdzQgAAQN8u+HNCAAAARYH4c0IAAEB2ePlzQgAAANzK+XNCAADAQR36c0IAAEANwvpzQgAAgD65+3NCAABApAv8c0IAAAAKXvxzQgAAwG+w/HNCAACA1QL9c0IAAMAG+v1zQgAAgGxM/nNCAABA0p7+c0IAAAA48f5zQgAAwJ1D/3NCAAAAzzoAdEIAAMA0jQB0QgAAgJrfAHRCAABAADIBdEIAAABmhAF0QgAAQJd7AnRCAAAA/c0CdEIAAMBiIAN0QgAAgMhyA3RCAABALsUDdEIAAIBfvAR0QgAAQMUOBXRCAAAAK2EFdEIAAMCQswV0QgAAgPYFBnRCAADAJ/0GdEIAAICNTwd0QgAAQPOhB3RCAAAAWfQHdEIAAMC+Rgh0QgAAAPA9CXRCAADAVZAJdEIAAIC74gl0QgAAQCE1CnRCAAAAh4cKdEIAAEC4fgt0QgAAAB7RC3RCAADAgyMMdEIAAIDpdQx0QgAAQE/IDHRCAABA5hEOdEIAAABMZA50QgAAwLG2DnRCAACAFwkPdEIAAMBIABB0QgAAgK5SEHRCAABAFKUQdEIAAAB69xB0QgAAwN9JEXRCAAAAEUESdEIAAMB2kxJ0QgAAgNzlEnRCAABAQjgTdEIAAACoihN0QgAAQNmBFHRCAAAAP9QUdEIAAMCkJhV0QgAAgAp5FXRCAABAcMsVdEIAAIChwhZ0QgAAQAcVF3RCAAAAbWcXdEIAAMDSuRd0QgAAgDgMGHRCAADAaQMZdEIAAIDPVRl0QgAAQDWoGXRCAAAAm/oZdEIAAMAATRp0QgAAADJEG3RCAADAl5YbdEIAAID96Bt0QgAAQGM7HHRCAAAAyY0cdEIAAED6hB10QgAAAGDXHXRCAADAxSkedEIAAIArfB50QgAAQJHOHnRCAACAwsUfdEIAAEAoGCB0QgAAAI5qIHRCAADA87wgdEIAAIBZDyF0QgAAwIoGInRCAACA8FgidEIAAEBWqyJ0QgAAALz9InRCAADAIVAjdEIAAABTRyR0QgAAwLiZJHRCAACAHuwkdEIAAECEPiV0QgAAAOqQJXRCAABAG4gmdEIAAACB2iZ0QgAAwOYsJ3RCAACATH8ndEIAAECy0Sd0QgAAgOPIKHRCAABASRspdEIAAACvbSl0QgAAgHoSKnRCAADAqwkrdEIAAIARXCt0QgAAQHeuK3RCAAAA3QAsdEIAAMBCUyx0QgAAAHRKLXRCAADA2ZwtdEIAAIA/7y10QgAAQKVBLnRCAAAAC5QudEIAAEA8iy90QgAAAKLdL3RCAADABzAwdEIAAIBtgjB0QgAAQNPUMHRCAACABMwxdEIAAEBqHjJ0QgAAwDXDMnRCAACAmxUzdEIAAMDMDDR0QgAAgDJfNHRCAAAA/gM1dEIAAMBjVjV0QgAAAJVNNnRCAADA+p82dEIAAIBg8jZ0QgAAQMZEN3RCAAAALJc3dEIAAEBdjjh0QgAAAMPgOHRCAADAKDM5dEIAAICOhTl0QgAAQPTXOXRCAABAiyE7dEIAAADxczt0QgAAwFbGO3RCAACAvBg8dEIAAMDtDz10QgAAgFNiPXRCAABAubQ9dEIAAAAfBz50QgAAwIRZPnRCAAAAtlA/dEIAAMAboz90QgAAgIH1P3RCAABA50dAdEIAAABNmkB0QgAAQH6RQXRCAAAA5ONBdEIAAMBJNkJ0QgAAgK+IQnRCAABAFdtCdEIAAECsJER0QgAAABJ3RHRCAADAd8lEdEIAAIDdG0V0QgAAwA4TRnRCAACAdGVGdEIAAEDat0Z0QgAAAEAKR3RCAADApVxHdEIAAADXU0h0QgAAwDymSHRCAACAovhIdEIAAEAIS0l0QgAAAG6dSXRCAABAn5RKdEIAAAAF50p0QgAAwGo5S3RCAACA0ItLdEIAAEA23kt0QgAAgGfVTHRCAABAzSdNdEIAAAAzek10QgAAwJjMTXRCAACA/h5OdEIAAMAvFk90QgAAgJVoT3RCAABA+7pPdEIAAABhDVB0QgAAwMZfUHRCAAAA+FZRdEIAAMBdqVF0QgAAgMP7UXRCAABAKU5SdEIAAACPoFJ0QgAAQMCXU3RCAAAAJupTdEIAAMCLPFR0QgAAgPGOVHRCAABAV+FUdEIAAICI2FV0QgAAQO4qVnRCAAAAVH1WdEIAAMC5z1Z0QgAAwFAZWHRCAACAtmtYdEIAAEAcvlh0QgAAAIIQWXRCAADA52JZdEIAAAAZWlp0QgAAwH6sWnRCAACA5P5adEIAAEBKUVt0QgAAALCjW3RCAABA4ZpcdEIAAABH7Vx0QgAAwKw/XXRCAACAEpJddEIAAEB45F10QgAAgKnbXnRCAABADy5fdEIAAAB1gF90Qg==\",\"dtype\":\"float64\",\"shape\":[3614]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[3614]}}},\"id\":\"edf8864f-815f-485b-a443-8cf4e190063e\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"label\":{\"value\":\"IBM\"},\"renderers\":[{\"id\":\"a9c53bff-5808-4ee5-a718-843c751c4c5c\",\"type\":\"GlyphRenderer\"}]},\"id\":\"4e7f29d9-3455-46e2-aac9-43b88fc3b58e\",\"type\":\"LegendItem\"},{\"attributes\":{\"formatter\":{\"id\":\"a4499b87-1943-4b9b-9cfa-e53d2fa299c6\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"c1db58d0-678d-4e17-8f67-061237791dfd\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"94b4423f-a223-4dd9-9e1d-589c4a19f15a\",\"type\":\"BasicTicker\"}},\"id\":\"4a064448-98b9-4397-9676-97e9218b0394\",\"type\":\"LinearAxis\"},{\"attributes\":{\"label\":{\"value\":\"Apple\"},\"renderers\":[{\"id\":\"cb8f3b0c-9a32-46af-addb-b7cb3db06f01\",\"type\":\"GlyphRenderer\"}]},\"id\":\"e04f32f7-1b1b-4466-a189-610878c63cce\",\"type\":\"LegendItem\"},{\"attributes\":{\"line_color\":\"darkred\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"ff85e12f-4db2-44bd-83c0-fbd18a830164\",\"type\":\"Line\"},{\"attributes\":{\"below\":[{\"id\":\"6daa8680-2b14-4761-8c99-6465c3440290\",\"type\":\"DatetimeAxis\"}],\"left\":[{\"id\":\"4a064448-98b9-4397-9676-97e9218b0394\",\"type\":\"LinearAxis\"}],\"plot_height\":400,\"plot_width\":750,\"renderers\":[{\"id\":\"6daa8680-2b14-4761-8c99-6465c3440290\",\"type\":\"DatetimeAxis\"},{\"id\":\"b5e26303-2b23-4bdb-872a-0b02facc7aa6\",\"type\":\"Grid\"},{\"id\":\"4a064448-98b9-4397-9676-97e9218b0394\",\"type\":\"LinearAxis\"},{\"id\":\"4836d377-591e-460a-a793-bcabf84141e4\",\"type\":\"Grid\"},{\"id\":\"08b6c434-f5b1-48a2-972d-30131c87cc98\",\"type\":\"BoxAnnotation\"},{\"id\":\"e9927a17-264e-444e-b8b9-3b21d1d980b0\",\"type\":\"Legend\"},{\"id\":\"cb8f3b0c-9a32-46af-addb-b7cb3db06f01\",\"type\":\"GlyphRenderer\"},{\"id\":\"a9c53bff-5808-4ee5-a718-843c751c4c5c\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"3d186746-e4f2-4591-86ed-a951d5f17254\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"7dac8e51-5990-496c-b3a6-af0978acf56f\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"4d2921ca-8f31-4fb2-b13d-4ccbb5aec8f3\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"01b2db9f-ad6a-4e73-8038-b85034db648a\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"db2708cd-a488-4dfb-b057-f58261e70a0f\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"474aaf90-88c6-49ee-8705-55491791c2fd\",\"type\":\"LinearScale\"}},\"id\":\"c1db58d0-678d-4e17-8f67-061237791dfd\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"01b2db9f-ad6a-4e73-8038-b85034db648a\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"818c9a06-d09d-4e97-8374-5759263c85ee\",\"type\":\"PanTool\"},{\"attributes\":{\"plot\":null,\"text\":\"Closing Prices  - From Yahoo! Finance\"},\"id\":\"3d186746-e4f2-4591-86ed-a951d5f17254\",\"type\":\"Title\"},{\"attributes\":{\"months\":[0,1,2,3,4,5,6,7,8,9,10,11]},\"id\":\"0373dac5-cb9f-4c63-b9cb-614c81796d86\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"9210e946-6fb4-478d-bb27-474cf119967f\",\"type\":\"Line\"},{\"attributes\":{\"items\":[{\"id\":\"e04f32f7-1b1b-4466-a189-610878c63cce\",\"type\":\"LegendItem\"},{\"id\":\"4e7f29d9-3455-46e2-aac9-43b88fc3b58e\",\"type\":\"LegendItem\"}],\"location\":\"top_left\",\"plot\":{\"id\":\"c1db58d0-678d-4e17-8f67-061237791dfd\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"e9927a17-264e-444e-b8b9-3b21d1d980b0\",\"type\":\"Legend\"},{\"attributes\":{},\"id\":\"8a00fb2c-1d2a-4168-b6d0-ac73eab168f9\",\"type\":\"YearsTicker\"},{\"attributes\":{\"plot\":{\"id\":\"c1db58d0-678d-4e17-8f67-061237791dfd\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"49d6347a-9c95-453b-b8e1-0af902c7f1b9\",\"type\":\"DatetimeTicker\"}},\"id\":\"b5e26303-2b23-4bdb-872a-0b02facc7aa6\",\"type\":\"Grid\"},{\"attributes\":{\"source\":{\"id\":\"8a314900-510c-4ff6-989a-3f7090a77569\",\"type\":\"ColumnDataSource\"}},\"id\":\"6935132a-6c92-4dd3-86e4-478010969b49\",\"type\":\"CDSView\"},{\"attributes\":{\"data_source\":{\"id\":\"8a314900-510c-4ff6-989a-3f7090a77569\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"ff85e12f-4db2-44bd-83c0-fbd18a830164\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"181194f6-dc6f-4ba0-bbb8-10b2c87b8dc9\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"6935132a-6c92-4dd3-86e4-478010969b49\",\"type\":\"CDSView\"}},\"id\":\"cb8f3b0c-9a32-46af-addb-b7cb3db06f01\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"source\":{\"id\":\"edf8864f-815f-485b-a443-8cf4e190063e\",\"type\":\"ColumnDataSource\"}},\"id\":\"f9436b30-cc7c-42a3-84e6-6c248f4a51e7\",\"type\":\"CDSView\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[3614]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[3614]}}},\"id\":\"8a314900-510c-4ff6-989a-3f7090a77569\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_color\":\"royalblue\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"45683d8e-b78a-4683-b570-a549707d6c4b\",\"type\":\"Line\"},{\"attributes\":{\"callback\":null},\"id\":\"4d2921ca-8f31-4fb2-b13d-4ccbb5aec8f3\",\"type\":\"DataRange1d\"},{\"attributes\":{\"mantissas\":[1,2,5],\"max_interval\":500.0,\"num_minor_ticks\":0},\"id\":\"2a62a935-c658-43ab-b260-e16a43294e94\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"callback\":null},\"id\":\"db2708cd-a488-4dfb-b057-f58261e70a0f\",\"type\":\"DataRange1d\"},{\"attributes\":{\"formatter\":{\"id\":\"23f8ef1e-6f8d-4bfa-bc84-4322d5a568a0\",\"type\":\"DatetimeTickFormatter\"},\"plot\":{\"id\":\"c1db58d0-678d-4e17-8f67-061237791dfd\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"49d6347a-9c95-453b-b8e1-0af902c7f1b9\",\"type\":\"DatetimeTicker\"}},\"id\":\"6daa8680-2b14-4761-8c99-6465c3440290\",\"type\":\"DatetimeAxis\"},{\"attributes\":{\"overlay\":{\"id\":\"08b6c434-f5b1-48a2-972d-30131c87cc98\",\"type\":\"BoxAnnotation\"}},\"id\":\"44bb5741-f241-463a-bdfc-d6affb752c74\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"23f8ef1e-6f8d-4bfa-bc84-4322d5a568a0\",\"type\":\"DatetimeTickFormatter\"},{\"attributes\":{\"months\":[0,4,8]},\"id\":\"7635b163-916d-4e75-890d-41522c58fa1b\",\"type\":\"MonthsTicker\"},{\"attributes\":{},\"id\":\"a4499b87-1943-4b9b-9cfa-e53d2fa299c6\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"base\":60,\"mantissas\":[1,2,5,10,15,20,30],\"max_interval\":1800000.0,\"min_interval\":1000.0,\"num_minor_ticks\":0},\"id\":\"a223dd1c-1a11-444b-ae9a-4977b7e947f9\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"base\":24,\"mantissas\":[1,2,4,6,8,12],\"max_interval\":43200000.0,\"min_interval\":3600000.0,\"num_minor_ticks\":0},\"id\":\"7db8c7db-ae11-4b4a-a204-1dcce2d022a6\",\"type\":\"AdaptiveTicker\"}],\"root_ids\":[\"c1db58d0-678d-4e17-8f67-061237791dfd\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.13\"}};\n",
       "  var render_items = [{\"docid\":\"edc9b0bd-0ce4-4a37-a117-f59ed5a5c3ee\",\"elementid\":\"2bf01dfe-b40e-4d05-b83e-737c5f9bb9e1\",\"modelid\":\"c1db58d0-678d-4e17-8f67-061237791dfd\"}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "c1db58d0-678d-4e17-8f67-061237791dfd"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = bk.figure(x_axis_type = \"datetime\",\n",
    "       tools=\"pan,box_zoom,reset\", title = 'Closing Prices  - From Yahoo! Finance',\n",
    "       plot_width=750, plot_height=400)\n",
    "fig.line(AAPL_yahoo.index, AAPL_yahoo['Adj Close'],\n",
    "     line_width=2, color='darkred', legend='Apple')\n",
    "fig.line(IBM_yahoo.index, IBM_yahoo['Adj Close'],\n",
    "     line_width=2, color='royalblue', legend='IBM')\n",
    "fig.legend.location = \"top_left\"\n",
    "bk.show(fig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true,
    "nbpresent": {
     "id": "113c0aa9-c4dc-4951-aa43-28560ad6b9f8"
    }
   },
   "outputs": [],
   "source": [
    "df = AAPL_yahoo[-100:]\n",
    "mids = (df['High']+df['Low'])/2\n",
    "spans = df['Close']-df['Open']\n",
    "inc = df['Close']>=df['Open']\n",
    "dec = df['Close']<df['Open']\n",
    "w = 18*60*60*1000               # 2/3 of a day in ms"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "45fbc478-674f-48ef-a32d-66c859be48a0"
    }
   },
   "source": [
    "### 1.2 Plotting candlesticks with bokeh:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "nbpresent": {
     "id": "3ff5f4dd-fe92-4a3c-b081-1ef5151bb2a3"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div class=\"bk-root\">\n",
       "    <div class=\"bk-plotdiv\" id=\"98257e83-53ed-45f3-913c-707aade469fb\"></div>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"c9ad3992-8375-4af7-8b5c-d433e82a5775\":{\"roots\":{\"references\":[{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"5aea2cae-f91d-4c9c-acac-dbbd85ee5c27\",\"type\":\"PanTool\"},{\"id\":\"6471f246-2f4d-4ce7-81c0-84ed130d3c7c\",\"type\":\"BoxZoomTool\"},{\"id\":\"aea7530f-01fa-4842-ae21-d34f0ac97e21\",\"type\":\"ResetTool\"}]},\"id\":\"8ac8f14d-2c32-495b-97ee-a38b144ce16b\",\"type\":\"Toolbar\"},{\"attributes\":{\"months\":[0,4,8]},\"id\":\"6db85726-69b3-4a08-beae-474a610b9293\",\"type\":\"MonthsTicker\"},{\"attributes\":{},\"id\":\"b70b8ded-3e56-40af-8793-9e1f349a0448\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_color\":{\"value\":\"lawngreen\"},\"height\":{\"field\":\"height\",\"units\":\"data\"},\"width\":{\"units\":\"data\",\"value\":64800000},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2dfa1b2d-dc62-4201-82ac-ab826e410219\",\"type\":\"Rect\"},{\"attributes\":{\"callback\":null},\"id\":\"1bc46f91-cc62-4d0a-8ce1-e1b39a15a90e\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\",\"height\"],\"data\":{\"height\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[48]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[48]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[48]}}},\"id\":\"ece966c4-230b-4599-bd0f-f4131370ab1a\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"b9c4d1e7-f1b3-487a-8849-781676de1b88\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":{\"id\":\"eb7f7d0d-b96b-407c-b725-280ab8c4699b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"26133bf1-5bfc-4fc9-9f30-52f5076b66e6\",\"type\":\"DatetimeTicker\"}},\"id\":\"811e342b-fdbf-4755-936e-41b11cbc81b5\",\"type\":\"Grid\"},{\"attributes\":{\"formatter\":{\"id\":\"6a1ad9aa-7e58-4589-8102-359e821d7071\",\"type\":\"DatetimeTickFormatter\"},\"plot\":{\"id\":\"eb7f7d0d-b96b-407c-b725-280ab8c4699b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"26133bf1-5bfc-4fc9-9f30-52f5076b66e6\",\"type\":\"DatetimeTicker\"}},\"id\":\"b0500f63-8282-4e07-9e18-7ec4a4e46160\",\"type\":\"DatetimeAxis\"},{\"attributes\":{\"num_minor_ticks\":5,\"tickers\":[{\"id\":\"9896a569-22fb-4326-8900-32ab5b61baa3\",\"type\":\"AdaptiveTicker\"},{\"id\":\"d4db834b-17b2-4622-9b21-d26d5f4b4782\",\"type\":\"AdaptiveTicker\"},{\"id\":\"a0616c1b-091a-418f-8cb4-f4c58ea7e3d5\",\"type\":\"AdaptiveTicker\"},{\"id\":\"89284e07-f64c-4194-b2c0-81fc3544e3c8\",\"type\":\"DaysTicker\"},{\"id\":\"8ae871fe-f530-4711-86d7-98af0ac85c87\",\"type\":\"DaysTicker\"},{\"id\":\"1ac49a20-d86a-4cb1-aa46-b7d86ff26eb7\",\"type\":\"DaysTicker\"},{\"id\":\"a262c343-61a6-4804-bf00-66fc62f86db5\",\"type\":\"DaysTicker\"},{\"id\":\"9a35df79-bcf2-469f-b90b-c6749bc07600\",\"type\":\"MonthsTicker\"},{\"id\":\"16fd700b-7d5d-4415-acd6-1def4bf5bc5f\",\"type\":\"MonthsTicker\"},{\"id\":\"6db85726-69b3-4a08-beae-474a610b9293\",\"type\":\"MonthsTicker\"},{\"id\":\"69b05770-7c73-4124-88a7-ea98969bc9f3\",\"type\":\"MonthsTicker\"},{\"id\":\"9ee260e5-e46c-44e2-a9ae-8511b55951cd\",\"type\":\"YearsTicker\"}]},\"id\":\"26133bf1-5bfc-4fc9-9f30-52f5076b66e6\",\"type\":\"DatetimeTicker\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\",\"height\"],\"data\":{\"height\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[52]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[52]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[52]}}},\"id\":\"5dc4808d-96b3-4b5b-ade8-4b8e12ffbd3e\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"formatter\":{\"id\":\"9847b91e-c577-4077-9d22-ae413b86642a\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"eb7f7d0d-b96b-407c-b725-280ab8c4699b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"bc61decb-e15b-486c-91dd-ab87c9deed8d\",\"type\":\"BasicTicker\"}},\"id\":\"7b53eaaf-40dc-4ac2-abd9-1bd7ccdc72ba\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"bc61decb-e15b-486c-91dd-ab87c9deed8d\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"eb7f7d0d-b96b-407c-b725-280ab8c4699b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"bc61decb-e15b-486c-91dd-ab87c9deed8d\",\"type\":\"BasicTicker\"}},\"id\":\"51e768e0-e85c-4bcc-821b-f1475a35c7e5\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"height\":{\"field\":\"height\",\"units\":\"data\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"width\":{\"units\":\"data\",\"value\":64800000},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"b128d1df-fed7-4aaa-8152-62f1586f4297\",\"type\":\"Rect\"},{\"attributes\":{\"mantissas\":[1,2,5],\"max_interval\":500.0,\"num_minor_ticks\":0},\"id\":\"9896a569-22fb-4326-8900-32ab5b61baa3\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"ece966c4-230b-4599-bd0f-f4131370ab1a\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"2dfa1b2d-dc62-4201-82ac-ab826e410219\",\"type\":\"Rect\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"b128d1df-fed7-4aaa-8152-62f1586f4297\",\"type\":\"Rect\"},\"selection_glyph\":null,\"view\":{\"id\":\"ca7386ed-543b-43ff-9ef3-3bff713dff6f\",\"type\":\"CDSView\"}},\"id\":\"5ab2c715-856a-41da-ba1a-f4ec120abecc\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"3f0faef3-6cf2-4ca2-9c8a-dd276a198bbf\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"5aea2cae-f91d-4c9c-acac-dbbd85ee5c27\",\"type\":\"PanTool\"},{\"attributes\":{\"source\":{\"id\":\"ece966c4-230b-4599-bd0f-f4131370ab1a\",\"type\":\"ColumnDataSource\"}},\"id\":\"ca7386ed-543b-43ff-9ef3-3bff713dff6f\",\"type\":\"CDSView\"},{\"attributes\":{\"overlay\":{\"id\":\"3f0faef3-6cf2-4ca2-9c8a-dd276a198bbf\",\"type\":\"BoxAnnotation\"}},\"id\":\"6471f246-2f4d-4ce7-81c0-84ed130d3c7c\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"data_source\":{\"id\":\"5dc4808d-96b3-4b5b-ade8-4b8e12ffbd3e\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"9890b773-9990-4e87-a37a-f8cc540beaa6\",\"type\":\"Rect\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"c3f15878-eb0a-4120-ab52-8fe667e0991a\",\"type\":\"Rect\"},\"selection_glyph\":null,\"view\":{\"id\":\"3bb4c299-a8d8-4c3b-bb98-24426bbe143f\",\"type\":\"CDSView\"}},\"id\":\"a9392a58-e0be-4e15-88ac-9f6135f84067\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"aea7530f-01fa-4842-ae21-d34f0ac97e21\",\"type\":\"ResetTool\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x0\":{\"field\":\"x0\"},\"x1\":{\"field\":\"x1\"},\"y0\":{\"field\":\"y0\"},\"y1\":{\"field\":\"y1\"}},\"id\":\"e79c53e6-b84f-455c-b160-9bbd4657a4e8\",\"type\":\"Segment\"},{\"attributes\":{\"source\":{\"id\":\"e2bebca8-6501-488f-97db-4db44598f4f0\",\"type\":\"ColumnDataSource\"}},\"id\":\"d77728da-243c-470b-9a7e-f7f7914e198f\",\"type\":\"CDSView\"},{\"attributes\":{\"data_source\":{\"id\":\"e2bebca8-6501-488f-97db-4db44598f4f0\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"d9b48957-65d3-4fe4-9d36-2aed053c75fd\",\"type\":\"Segment\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"e79c53e6-b84f-455c-b160-9bbd4657a4e8\",\"type\":\"Segment\"},\"selection_glyph\":null,\"view\":{\"id\":\"d77728da-243c-470b-9a7e-f7f7914e198f\",\"type\":\"CDSView\"}},\"id\":\"d0bc59b9-dddb-4170-ace9-43e167866602\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"source\":{\"id\":\"5dc4808d-96b3-4b5b-ade8-4b8e12ffbd3e\",\"type\":\"ColumnDataSource\"}},\"id\":\"3bb4c299-a8d8-4c3b-bb98-24426bbe143f\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"6a1ad9aa-7e58-4589-8102-359e821d7071\",\"type\":\"DatetimeTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"height\":{\"field\":\"height\",\"units\":\"data\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"width\":{\"units\":\"data\",\"value\":64800000},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"c3f15878-eb0a-4120-ab52-8fe667e0991a\",\"type\":\"Rect\"},{\"attributes\":{\"base\":24,\"mantissas\":[1,2,4,6,8,12],\"max_interval\":43200000.0,\"min_interval\":3600000.0,\"num_minor_ticks\":0},\"id\":\"a0616c1b-091a-418f-8cb4-f4c58ea7e3d5\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"fill_color\":{\"value\":\"crimson\"},\"height\":{\"field\":\"height\",\"units\":\"data\"},\"width\":{\"units\":\"data\",\"value\":64800000},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"9890b773-9990-4e87-a37a-f8cc540beaa6\",\"type\":\"Rect\"},{\"attributes\":{\"base\":60,\"mantissas\":[1,2,5,10,15,20,30],\"max_interval\":1800000.0,\"min_interval\":1000.0,\"num_minor_ticks\":0},\"id\":\"d4db834b-17b2-4622-9b21-d26d5f4b4782\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{},\"id\":\"9847b91e-c577-4077-9d22-ae413b86642a\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"days\":[1,8,15,22]},\"id\":\"1ac49a20-d86a-4cb1-aa46-b7d86ff26eb7\",\"type\":\"DaysTicker\"},{\"attributes\":{\"days\":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]},\"id\":\"89284e07-f64c-4194-b2c0-81fc3544e3c8\",\"type\":\"DaysTicker\"},{\"attributes\":{\"days\":[1,4,7,10,13,16,19,22,25,28]},\"id\":\"8ae871fe-f530-4711-86d7-98af0ac85c87\",\"type\":\"DaysTicker\"},{\"attributes\":{\"days\":[1,15]},\"id\":\"a262c343-61a6-4804-bf00-66fc62f86db5\",\"type\":\"DaysTicker\"},{\"attributes\":{\"months\":[0,1,2,3,4,5,6,7,8,9,10,11]},\"id\":\"9a35df79-bcf2-469f-b90b-c6749bc07600\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x0\",\"y0\",\"x1\",\"y1\"],\"data\":{\"x0\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[100]},\"x1\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[100]},\"y0\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[100]},\"y1\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[100]}}},\"id\":\"e2bebca8-6501-488f-97db-4db44598f4f0\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"months\":[0,2,4,6,8,10]},\"id\":\"16fd700b-7d5d-4415-acd6-1def4bf5bc5f\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"below\":[{\"id\":\"b0500f63-8282-4e07-9e18-7ec4a4e46160\",\"type\":\"DatetimeAxis\"}],\"left\":[{\"id\":\"7b53eaaf-40dc-4ac2-abd9-1bd7ccdc72ba\",\"type\":\"LinearAxis\"}],\"plot_height\":400,\"plot_width\":750,\"renderers\":[{\"id\":\"b0500f63-8282-4e07-9e18-7ec4a4e46160\",\"type\":\"DatetimeAxis\"},{\"id\":\"811e342b-fdbf-4755-936e-41b11cbc81b5\",\"type\":\"Grid\"},{\"id\":\"7b53eaaf-40dc-4ac2-abd9-1bd7ccdc72ba\",\"type\":\"LinearAxis\"},{\"id\":\"51e768e0-e85c-4bcc-821b-f1475a35c7e5\",\"type\":\"Grid\"},{\"id\":\"3f0faef3-6cf2-4ca2-9c8a-dd276a198bbf\",\"type\":\"BoxAnnotation\"},{\"id\":\"d0bc59b9-dddb-4170-ace9-43e167866602\",\"type\":\"GlyphRenderer\"},{\"id\":\"5ab2c715-856a-41da-ba1a-f4ec120abecc\",\"type\":\"GlyphRenderer\"},{\"id\":\"a9392a58-e0be-4e15-88ac-9f6135f84067\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"51b05fd6-cea9-48fe-9805-4151e6117ff8\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"8ac8f14d-2c32-495b-97ee-a38b144ce16b\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"34bcb230-cbe3-4313-a4a6-dc513f3f61e6\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"b70b8ded-3e56-40af-8793-9e1f349a0448\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"1bc46f91-cc62-4d0a-8ce1-e1b39a15a90e\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"b9c4d1e7-f1b3-487a-8849-781676de1b88\",\"type\":\"LinearScale\"}},\"id\":\"eb7f7d0d-b96b-407c-b725-280ab8c4699b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"months\":[0,6]},\"id\":\"69b05770-7c73-4124-88a7-ea98969bc9f3\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"x0\":{\"field\":\"x0\"},\"x1\":{\"field\":\"x1\"},\"y0\":{\"field\":\"y0\"},\"y1\":{\"field\":\"y1\"}},\"id\":\"d9b48957-65d3-4fe4-9d36-2aed053c75fd\",\"type\":\"Segment\"},{\"attributes\":{},\"id\":\"9ee260e5-e46c-44e2-a9ae-8511b55951cd\",\"type\":\"YearsTicker\"},{\"attributes\":{\"plot\":null,\"text\":\"Candlesticks  - From Yahoo! Finance\"},\"id\":\"51b05fd6-cea9-48fe-9805-4151e6117ff8\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null},\"id\":\"34bcb230-cbe3-4313-a4a6-dc513f3f61e6\",\"type\":\"DataRange1d\"}],\"root_ids\":[\"eb7f7d0d-b96b-407c-b725-280ab8c4699b\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.13\"}};\n",
       "  var render_items = [{\"docid\":\"c9ad3992-8375-4af7-8b5c-d433e82a5775\",\"elementid\":\"98257e83-53ed-45f3-913c-707aade469fb\",\"modelid\":\"eb7f7d0d-b96b-407c-b725-280ab8c4699b\"}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "eb7f7d0d-b96b-407c-b725-280ab8c4699b"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = bk.figure(x_axis_type = \"datetime\",\n",
    "       tools=\"pan,box_zoom,reset\",\n",
    "       title = 'Candlesticks  - From Yahoo! Finance',\n",
    "       plot_width=750, plot_height=400)\n",
    "fig.segment(df.index, df['High'], df.index, df['Low'], color='black')\n",
    "fig.rect(df[inc].index, mids[inc], w, spans[inc],\n",
    "     fill_color=\"lawngreen\", line_color=\"black\")\n",
    "fig.rect(df[dec].index, mids[dec], w, spans[dec],\n",
    "     fill_color=\"crimson\", line_color=\"black\")\n",
    "fig.legend.location = \"top_left\"\n",
    "bk.show(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "bd307481-2d8d-497f-a6b4-56e45a0699ac"
    }
   },
   "source": [
    "### 1.3 Plotting data ranges with bokeh:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "nbpresent": {
     "id": "aee83e52-ad46-441a-a0d1-1bfda487d8c8"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div class=\"bk-root\">\n",
       "    <div class=\"bk-plotdiv\" id=\"6f94b5e8-1082-4001-af99-e7d4d2aa6665\"></div>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"c047a55b-2b70-4a55-bfe0-41c7ad1b34e9\":{\"roots\":{\"references\":[{\"attributes\":{\"items\":[{\"id\":\"ccfe1e4c-1825-4f66-b548-7998c405f0d5\",\"type\":\"LegendItem\"}],\"plot\":{\"id\":\"544df73b-2bce-42d4-b7d1-103cc87232fa\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"75841433-2785-4291-82d1-40e92864dc43\",\"type\":\"Legend\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[200]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[200]}}},\"id\":\"77879171-e424-4bd9-8e86-bf4f46e23970\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"cb98577e-0ee7-42f6-ad2f-9d7da4f24f61\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"c35114bf-6dc2-493f-adff-b61983402215\",\"type\":\"PanTool\"},{\"attributes\":{\"callback\":null},\"id\":\"1686af9e-6711-4fa1-84b5-7d606432c120\",\"type\":\"DataRange1d\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"544df73b-2bce-42d4-b7d1-103cc87232fa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6909b52b-6947-41a9-bc56-ac9064c65fb6\",\"type\":\"BasicTicker\"}},\"id\":\"15917d17-74a2-4100-b67f-e2df10a95c37\",\"type\":\"Grid\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"618afcbf-a298-44da-bcfd-b55432fc32c5\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"overlay\":{\"id\":\"618afcbf-a298-44da-bcfd-b55432fc32c5\",\"type\":\"BoxAnnotation\"}},\"id\":\"19ad411c-7bdd-4e46-8cc0-2f8bd8020891\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"mantissas\":[1,2,5],\"max_interval\":500.0,\"num_minor_ticks\":0},\"id\":\"4d4b6303-cacd-4096-9cd9-701fa1bb59ab\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"callback\":null},\"id\":\"cc684a87-b12f-45e6-819d-a9bad0b57d33\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"6909b52b-6947-41a9-bc56-ac9064c65fb6\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[100]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[100]}}},\"id\":\"0517ab3d-ec87-41c8-aaf8-03958039641d\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"base\":24,\"mantissas\":[1,2,4,6,8,12],\"max_interval\":43200000.0,\"min_interval\":3600000.0,\"num_minor_ticks\":0},\"id\":\"e011b712-114d-4bd0-97d9-3f2d205e2828\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{},\"id\":\"7d5bb0b9-2ee8-4a4a-91fc-d19cfe6444be\",\"type\":\"DatetimeTickFormatter\"},{\"attributes\":{\"fill_alpha\":0.1,\"fill_color\":\"#1f77b4\",\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"44e57f14-186e-472d-a1f0-275acbf19e58\",\"type\":\"Patch\"},{\"attributes\":{\"days\":[1,8,15,22]},\"id\":\"4872282b-e7d7-4266-b22a-202a6a41712d\",\"type\":\"DaysTicker\"},{\"attributes\":{\"source\":{\"id\":\"77879171-e424-4bd9-8e86-bf4f46e23970\",\"type\":\"ColumnDataSource\"}},\"id\":\"9c8602fe-6296-473c-9238-e411f3b5382c\",\"type\":\"CDSView\"},{\"attributes\":{\"plot\":{\"id\":\"544df73b-2bce-42d4-b7d1-103cc87232fa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"710dae04-9bf5-49b2-bb7a-744d6726f65f\",\"type\":\"DatetimeTicker\"}},\"id\":\"0b159b32-7ba8-4c4f-9ee2-15a56313e974\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"51a6d85d-cf2b-44a6-9b22-4657efa30901\",\"type\":\"ResetTool\"},{\"attributes\":{\"days\":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]},\"id\":\"a82bbdbd-ba0f-4ca3-b635-81125bffb6da\",\"type\":\"DaysTicker\"},{\"attributes\":{\"days\":[1,15]},\"id\":\"84df6ed8-47c7-4e39-8b8e-2b6df3adb520\",\"type\":\"DaysTicker\"},{\"attributes\":{\"base\":60,\"mantissas\":[1,2,5,10,15,20,30],\"max_interval\":1800000.0,\"min_interval\":1000.0,\"num_minor_ticks\":0},\"id\":\"b4893727-34f8-4d5c-9ce6-33aebafde818\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"months\":[0,1,2,3,4,5,6,7,8,9,10,11]},\"id\":\"525c27e0-87ab-421f-a714-f45e88e7b37d\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"days\":[1,4,7,10,13,16,19,22,25,28]},\"id\":\"9273c7d6-0670-480e-ae9a-ee7fae487933\",\"type\":\"DaysTicker\"},{\"attributes\":{\"fill_alpha\":0.3,\"fill_color\":\"darkred\",\"line_alpha\":0.6,\"line_color\":\"violet\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"6e9eed83-57af-45a8-b1b4-e834bd757ebb\",\"type\":\"Patch\"},{\"attributes\":{\"months\":[0,2,4,6,8,10]},\"id\":\"418b6a52-8595-4668-96b9-bbce345a3469\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"c35114bf-6dc2-493f-adff-b61983402215\",\"type\":\"PanTool\"},{\"id\":\"19ad411c-7bdd-4e46-8cc0-2f8bd8020891\",\"type\":\"BoxZoomTool\"},{\"id\":\"51a6d85d-cf2b-44a6-9b22-4657efa30901\",\"type\":\"ResetTool\"}]},\"id\":\"11a2679a-9646-47a7-b128-838ff3f1e566\",\"type\":\"Toolbar\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"bb7e9c62-3d50-44df-b652-75aacf838c05\",\"type\":\"Line\"},{\"attributes\":{\"below\":[{\"id\":\"1ff12745-2637-4f07-ab48-482930ace550\",\"type\":\"DatetimeAxis\"}],\"left\":[{\"id\":\"9c3dc971-af35-4016-b462-81cefc019462\",\"type\":\"LinearAxis\"}],\"plot_height\":400,\"plot_width\":750,\"renderers\":[{\"id\":\"1ff12745-2637-4f07-ab48-482930ace550\",\"type\":\"DatetimeAxis\"},{\"id\":\"0b159b32-7ba8-4c4f-9ee2-15a56313e974\",\"type\":\"Grid\"},{\"id\":\"9c3dc971-af35-4016-b462-81cefc019462\",\"type\":\"LinearAxis\"},{\"id\":\"15917d17-74a2-4100-b67f-e2df10a95c37\",\"type\":\"Grid\"},{\"id\":\"618afcbf-a298-44da-bcfd-b55432fc32c5\",\"type\":\"BoxAnnotation\"},{\"id\":\"da9e096f-3905-4828-93f3-c8b16ceffcce\",\"type\":\"GlyphRenderer\"},{\"id\":\"75841433-2785-4291-82d1-40e92864dc43\",\"type\":\"Legend\"},{\"id\":\"41f2ae6b-d8c0-4279-99fa-99729629ba3b\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"4d6691af-33be-4462-81b9-57185c097808\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"11a2679a-9646-47a7-b128-838ff3f1e566\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"cc684a87-b12f-45e6-819d-a9bad0b57d33\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"afd0a34a-47d5-405d-be90-8357560755ea\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"1686af9e-6711-4fa1-84b5-7d606432c120\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"4588adb0-51a4-40d1-a921-0de6d3609cc4\",\"type\":\"LinearScale\"}},\"id\":\"544df73b-2bce-42d4-b7d1-103cc87232fa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"0eb60d09-bace-4ff0-83e4-34b3f1d250cc\",\"type\":\"YearsTicker\"},{\"attributes\":{\"formatter\":{\"id\":\"cb98577e-0ee7-42f6-ad2f-9d7da4f24f61\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"544df73b-2bce-42d4-b7d1-103cc87232fa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"6909b52b-6947-41a9-bc56-ac9064c65fb6\",\"type\":\"BasicTicker\"}},\"id\":\"9c3dc971-af35-4016-b462-81cefc019462\",\"type\":\"LinearAxis\"},{\"attributes\":{\"months\":[0,6]},\"id\":\"39ec2093-401e-45ba-80d3-0d308d9bc19e\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"plot\":null,\"text\":\"Mid Trading Values with Range  - From Yahoo! Finance\"},\"id\":\"4d6691af-33be-4462-81b9-57185c097808\",\"type\":\"Title\"},{\"attributes\":{\"months\":[0,4,8]},\"id\":\"99c0cbd3-8049-4818-9efe-fdde26a1a867\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"formatter\":{\"id\":\"7d5bb0b9-2ee8-4a4a-91fc-d19cfe6444be\",\"type\":\"DatetimeTickFormatter\"},\"plot\":{\"id\":\"544df73b-2bce-42d4-b7d1-103cc87232fa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"710dae04-9bf5-49b2-bb7a-744d6726f65f\",\"type\":\"DatetimeTicker\"}},\"id\":\"1ff12745-2637-4f07-ab48-482930ace550\",\"type\":\"DatetimeAxis\"},{\"attributes\":{\"source\":{\"id\":\"0517ab3d-ec87-41c8-aaf8-03958039641d\",\"type\":\"ColumnDataSource\"}},\"id\":\"2083434d-1d69-45f0-a4c4-95b0b7359c2f\",\"type\":\"CDSView\"},{\"attributes\":{\"line_color\":\"darkred\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"4b30781c-b351-4c85-baaf-4485f65bd3d0\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"4588adb0-51a4-40d1-a921-0de6d3609cc4\",\"type\":\"LinearScale\"},{\"attributes\":{\"label\":{\"value\":\"Apple\"},\"renderers\":[{\"id\":\"41f2ae6b-d8c0-4279-99fa-99729629ba3b\",\"type\":\"GlyphRenderer\"}]},\"id\":\"ccfe1e4c-1825-4f66-b548-7998c405f0d5\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"afd0a34a-47d5-405d-be90-8357560755ea\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"0517ab3d-ec87-41c8-aaf8-03958039641d\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"4b30781c-b351-4c85-baaf-4485f65bd3d0\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"bb7e9c62-3d50-44df-b652-75aacf838c05\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"2083434d-1d69-45f0-a4c4-95b0b7359c2f\",\"type\":\"CDSView\"}},\"id\":\"41f2ae6b-d8c0-4279-99fa-99729629ba3b\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"data_source\":{\"id\":\"77879171-e424-4bd9-8e86-bf4f46e23970\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"6e9eed83-57af-45a8-b1b4-e834bd757ebb\",\"type\":\"Patch\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"44e57f14-186e-472d-a1f0-275acbf19e58\",\"type\":\"Patch\"},\"selection_glyph\":null,\"view\":{\"id\":\"9c8602fe-6296-473c-9238-e411f3b5382c\",\"type\":\"CDSView\"}},\"id\":\"da9e096f-3905-4828-93f3-c8b16ceffcce\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"num_minor_ticks\":5,\"tickers\":[{\"id\":\"4d4b6303-cacd-4096-9cd9-701fa1bb59ab\",\"type\":\"AdaptiveTicker\"},{\"id\":\"b4893727-34f8-4d5c-9ce6-33aebafde818\",\"type\":\"AdaptiveTicker\"},{\"id\":\"e011b712-114d-4bd0-97d9-3f2d205e2828\",\"type\":\"AdaptiveTicker\"},{\"id\":\"a82bbdbd-ba0f-4ca3-b635-81125bffb6da\",\"type\":\"DaysTicker\"},{\"id\":\"9273c7d6-0670-480e-ae9a-ee7fae487933\",\"type\":\"DaysTicker\"},{\"id\":\"4872282b-e7d7-4266-b22a-202a6a41712d\",\"type\":\"DaysTicker\"},{\"id\":\"84df6ed8-47c7-4e39-8b8e-2b6df3adb520\",\"type\":\"DaysTicker\"},{\"id\":\"525c27e0-87ab-421f-a714-f45e88e7b37d\",\"type\":\"MonthsTicker\"},{\"id\":\"418b6a52-8595-4668-96b9-bbce345a3469\",\"type\":\"MonthsTicker\"},{\"id\":\"99c0cbd3-8049-4818-9efe-fdde26a1a867\",\"type\":\"MonthsTicker\"},{\"id\":\"39ec2093-401e-45ba-80d3-0d308d9bc19e\",\"type\":\"MonthsTicker\"},{\"id\":\"0eb60d09-bace-4ff0-83e4-34b3f1d250cc\",\"type\":\"YearsTicker\"}]},\"id\":\"710dae04-9bf5-49b2-bb7a-744d6726f65f\",\"type\":\"DatetimeTicker\"}],\"root_ids\":[\"544df73b-2bce-42d4-b7d1-103cc87232fa\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.13\"}};\n",
       "  var render_items = [{\"docid\":\"c047a55b-2b70-4a55-bfe0-41c7ad1b34e9\",\"elementid\":\"6f94b5e8-1082-4001-af99-e7d4d2aa6665\",\"modelid\":\"544df73b-2bce-42d4-b7d1-103cc87232fa\"}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "544df73b-2bce-42d4-b7d1-103cc87232fa"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = df.index.append(df.iloc[::-1].index)\n",
    "y = df['Low'].append(df['High'].iloc[::-1])\n",
    "\n",
    "fig = bk.figure(x_axis_type = \"datetime\",\n",
    "       tools=\"pan,box_zoom,reset\",\n",
    "       title = \"Mid Trading Values with Range  - From Yahoo! Finance\",\n",
    "       plot_width=750, plot_height=400)\n",
    "fig.patch(x,y, color='darkred', alpha=0.3, line_color='violet', line_alpha=0.6)\n",
    "fig.line(df.index, mids, line_width=2, color='darkred', legend='Apple')\n",
    "bk.show(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "336fb836-2e23-42d0-9f5f-6de8fc7b4074"
    }
   },
   "source": [
    "### 1.4 Plotting multiple plots with matplotlib:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true,
    "nbpresent": {
     "id": "29261128-1065-4c6e-8a81-e2d915810709"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "nbpresent": {
     "id": "ceb30367-30d7-4294-8148-37e7ddf21236"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc098ad0b00>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc09c176eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.gridspec as gridspec\n",
    "fig = plt.figure(figsize=(15,10));\n",
    "fig = bk.figure(plot_width=300, plot_height=200)\n",
    "gs = gridspec.GridSpec(2, 2, height_ratios=[2,1], hspace=0.4)\n",
    "ax0 = plt.subplot(gs[0, :])\n",
    "ax1 = plt.subplot(gs[1, :])\n",
    "AAPL_yahoo.iloc[-200:,1:3].plot(ax=ax0)\n",
    "AAPL_yahoo['r_mean'] = AAPL_yahoo['High'].rolling(window=20, center=False).mean()\n",
    "AAPL_yahoo[['High', 'r_mean']][-200:].plot(ax=ax1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "bf568d6c-c8ca-4535-850a-575849618a8f"
    }
   },
   "source": [
    "### 1.5 Plotting multiple plots with Bokeh:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "nbpresent": {
     "id": "932fd28d-27ee-4301-a623-23e93dfa9c5b"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div class=\"bk-root\">\n",
       "    <div class=\"bk-plotdiv\" id=\"b34ebfa9-4a16-45d8-8751-b23896af5cf2\"></div>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"33929cbb-1810-473d-b97e-4d6317f43f53\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"e2f87b94-01b8-4636-95e9-924f7e54867c\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"3f4e9800-ab34-4ae1-a35a-e8d67cd193a4\",\"type\":\"LinearAxis\"}],\"plot_height\":300,\"plot_width\":700,\"renderers\":[{\"id\":\"e2f87b94-01b8-4636-95e9-924f7e54867c\",\"type\":\"LinearAxis\"},{\"id\":\"6549e537-029e-4a90-8b1f-d6e13bb9ff73\",\"type\":\"Grid\"},{\"id\":\"3f4e9800-ab34-4ae1-a35a-e8d67cd193a4\",\"type\":\"LinearAxis\"},{\"id\":\"e5eb0fe5-53e4-40e8-9f06-780b55081bc8\",\"type\":\"Grid\"},{\"id\":\"8b5d2260-8bea-46e0-8865-47884d9c4f1d\",\"type\":\"BoxAnnotation\"},{\"id\":\"97ffa84f-b9ad-444c-8cc9-0882d867885b\",\"type\":\"Legend\"},{\"id\":\"564a1a1a-ab85-47f1-b025-07935abd8ea4\",\"type\":\"GlyphRenderer\"},{\"id\":\"853fbfec-8168-4930-a47d-a75e1c2ad06f\",\"type\":\"GlyphRenderer\"}],\"title\":null,\"toolbar\":{\"id\":\"39d379f9-b02a-4efc-890c-f8e5de4dbaaa\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"4076f91b-51c1-4be9-b34e-77af84acd0e5\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"f2a561c9-fa6c-46b2-8d8f-d346ab078ef9\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"10720003-f22f-496e-bd96-f2d739c635c8\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"7a81bbea-d5b5-4a4c-aff6-4412cc6214ce\",\"type\":\"LinearScale\"}},\"id\":\"49243b30-e297-44f2-a31d-9c36840e5ed6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"source\":{\"id\":\"717bc7fb-6972-4120-a28b-33b7b7432d73\",\"type\":\"ColumnDataSource\"}},\"id\":\"7e3a2008-f0c8-4c7a-8c9e-829d23742220\",\"type\":\"CDSView\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"94ece15e-d5ef-4247-9e97-a080d5f3cbc8\",\"type\":\"Line\"},{\"attributes\":{\"label\":{\"value\":\"Low\"},\"renderers\":[{\"id\":\"853fbfec-8168-4930-a47d-a75e1c2ad06f\",\"type\":\"GlyphRenderer\"}]},\"id\":\"a7a49cd3-1343-43a9-8280-14ba3f05a60e\",\"type\":\"LegendItem\"},{\"attributes\":{\"callback\":null},\"id\":\"4076f91b-51c1-4be9-b34e-77af84acd0e5\",\"type\":\"DataRange1d\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1cc21de4-32c0-41ab-910f-f229be7d10f9\",\"type\":\"PanTool\"},{\"id\":\"915d3ef4-094f-4ffe-bb5b-4e822250f84d\",\"type\":\"WheelZoomTool\"},{\"id\":\"17066d86-5cb7-4186-b46f-0ff5631fcb5f\",\"type\":\"BoxZoomTool\"},{\"id\":\"8f432205-ffff-487c-80aa-b4e313f60ee0\",\"type\":\"SaveTool\"},{\"id\":\"16ca9f31-ef26-4602-9e82-8aa186fbd0e5\",\"type\":\"ResetTool\"},{\"id\":\"d9c63168-c7c6-421c-a260-c70e00897805\",\"type\":\"HelpTool\"}]},\"id\":\"cbc0acd0-4c9c-482f-867c-a376ce060fe7\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"c3fdf34a-8bb7-46fc-babf-2f15c2373fe3\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"line_color\":\"blue\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"24719d4d-84d5-4d36-8004-b86083a98b69\",\"type\":\"Line\"},{\"attributes\":{\"callback\":null},\"id\":\"3ee4522f-ca38-49f3-b417-a5b36c22552a\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null},\"id\":\"10720003-f22f-496e-bd96-f2d739c635c8\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null},\"id\":\"23f82d12-ee1a-47ca-a6ee-e024fcc25a57\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"06fa2f9c-45a9-4760-ab01-e4ab17fb01fb\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"4004b58e-dbbf-4046-a31f-c5b535a448e4\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":{\"id\":\"243082f7-66ea-4c13-a090-a71769185ce3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"02de08b5-20c7-43c6-97b8-68ab4400f81f\",\"type\":\"BasicTicker\"}},\"id\":\"f78e2494-f79b-483f-bd43-b48106342f9e\",\"type\":\"Grid\"},{\"attributes\":{\"formatter\":{\"id\":\"47dead17-dc6e-4e7c-b887-ca5878471456\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"243082f7-66ea-4c13-a090-a71769185ce3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"02de08b5-20c7-43c6-97b8-68ab4400f81f\",\"type\":\"BasicTicker\"}},\"id\":\"74267da7-aa36-4d07-ba50-844835cc85c1\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"02de08b5-20c7-43c6-97b8-68ab4400f81f\",\"type\":\"BasicTicker\"},{\"attributes\":{\"formatter\":{\"id\":\"c3fdf34a-8bb7-46fc-babf-2f15c2373fe3\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"243082f7-66ea-4c13-a090-a71769185ce3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"444e0104-08c1-447d-8b59-4e7e93845fae\",\"type\":\"BasicTicker\"}},\"id\":\"908c0e8b-be18-4c11-954d-9cadbcd0985c\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"444e0104-08c1-447d-8b59-4e7e93845fae\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"243082f7-66ea-4c13-a090-a71769185ce3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"444e0104-08c1-447d-8b59-4e7e93845fae\",\"type\":\"BasicTicker\"}},\"id\":\"e2f859d3-52a4-4457-a98d-3cd73a2300ce\",\"type\":\"Grid\"},{\"attributes\":{\"source\":{\"id\":\"cebc002d-7228-4c2a-94d7-9f7ff66c4469\",\"type\":\"ColumnDataSource\"}},\"id\":\"dadf35f3-4b90-43c4-b4e8-1ed9b8925c98\",\"type\":\"CDSView\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199],\"y\":{\"__ndarray__\":\"aMpOP6hTUEAOaVTgZFVQQH1dhv90UFBATvIjfsWHUECJsUy/RM9QQC07xD9s2lBATz3S4LatUEDsbMg/M5NQQGr67IDrcVBAFJM3wMy8UEDylqsfm6pRQLHCLR9JAlJAuAchIF/xUUBIE+8AT/ZRQHYzox8NWVJAnkSEfxE8UkAUkzfAzBxSQBNjmX6JDlJA53KDoQ76UUAva2KBrzhSQOdXc4Bg8lFAINJvXwe1UUCeeqTBbbtRQOAtkKD4mlFA+boM/+ngUUDKarqe6O9RQHAJwD+l4VFAVTGVfsLVUUDT9NkB1yNSQIOieQCLH1JAqphKP+HqUEBj0Amhg/pQQHxI+N7f2VBAzcr2IW98UEBv9DEfEGtQQE7yI37Fp1BAxouFIXL+UEDRlJ1+UBdRQFQcB14tv1FAt9EA3gKyUUDe/fFetXxRQKWkh6HVclFAibFMv0RPUUCeX5SgvzNRQH14liAjeFFAfV2G/3SQUUCdL/ZefJVRQEj43t+gTlFAsg3cgTqYUUDMtWgB2oVRQOVC5V/La1FAVTGVfsKVUUBdpibBG6NRQNnTDn9NxVFATz3S4LbtUUCrs1pgj/JRQA05tp4hB1JANpVFYRcwUkBqFf2hmblSQIOieQCL31JAhLcHISDGUkCpg7weTARTQNoeveE+C1NA+wW7Ydv2UkCxwi0fSUJTQL9hokEK11JAxXB1AMTWUkDMmljgK75SQEG5bd+j0FJAMzUJ3pDjUkDXvoBeuL5SQE0NNJ9zr1JAkSbeAZ6cUkA6dHrejaFSQIS3ByEgtlJA+wW7YdumUkANObaeIedSQA5pVOBk5VJAmFDB4QXUUkDzqzlAMLFSQIS3ByEgllJAILdfPlmdUkBPIsK/CKZSQLgcr0D0x1JAzLVoAdolU0AAAAAAAIBTQHdOs0C78FNAipY8npYnVED5pX7eVDpUQJhQweEFVFRALTvEP2yKVEBPPdLgtj1UQIqWPJ6WV1RASONQvwtIVECpg7weTGRUQKzj+KHSMFRA+aV+3lQaVEB9eJYgIxhUQKqYSj/h+lNANGWnH9SxU0BihVs+kqRTQCICDqFKs1NAt9EA3gJiVECRJt4BnmxUQPsFu2HbVlRAAOXv3lEoVECs4/ih0gBUQFd8Q+GzC1RAXHaIf9jkU0CW6gJeZsZTQNGUnX5Qh1NAuTe/YaJ/U0Borz4e+ntTQIOHad/ch1NAfV2G/3RQU0AAAAAAAGBTQJDbL5+shlNANGWnH9QBVEDsbMg/M+NTQDy/KEF/t1NAi/z6ITalU0BCzvv/OOdTQAAAAAAA4FNAuByvQPTXU0B9XYb/dNBTQGKFWz6SZFJADVTGv88eUkD7Bbth2xZSQKa5FcJq6VFALlbUYBoiUkBq+uyA6zFSQA05tp4hZ1JA+wW7YdtWUkAOhGQBE61SQMpqup7o/1JAYoVbPpI0U0BWZ7XAHkVTQJ0v9l58dVNAfZOmQdF/U0BNDTSfc69TQH14liAjiFNATz3S4LYtU0A8vyhBfxdTQNjuHqD77FJA7YFWYMjpUkAAAAAAAMBSQKuzWmCP4lJA+wW7YdsGU0Boyk4/qPNSQMy1aAHaBVNABfpEniQZU0BIE+8ATxZTQH2TpkHR/1JALQsm/igMU0AZqIx/nz1TQPm6DP/pMFNATyLCvwhGU0DMtWgB2vVSQFVMpZ9w7VJABg/Tvrn/UkDFcHUAxCZTQIS3ByEgBlNAAAAAAAAQU0BPPdLgtk1TQE890uC2fVNAnnqkwW2bU0D7Bbth21ZTQE0NNJ9zP1NAs/LLYIxQU0CrzmqBPVpTQEGeXb71aFNAAAAAAABgU0AF+kSeJElTQBmNfF7x9VJAq85qgT3KUkB7Lei9MfJSQHst6L0xAlNALQsm/iisUkBPIsK/CKZSQClBf6FHoVJAYqBrX0CcUkA7j4r/O9lSQClBf6FHAVNAxouFIXL+UkBI41C/C/hSQJ56pMFtW1RAGaiMf59tVED7Bbth20ZVQEGeXb71SFVAxEDXvoBoVUDMmljgKz5VQC9rYoGvOFVA+wW7Ydt2VUBPIsK/CJZVQJELzuDvVFVA8parH5s6VUAAAAAAAPBUQJ5flKC/M1VA5ULlX8s7VUAZjXxe8VVVQA==\",\"dtype\":\"float64\",\"shape\":[200]}}},\"id\":\"cebc002d-7228-4c2a-94d7-9f7ff66c4469\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"284d5ddf-0ff4-4eed-8ca0-80740032beb2\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"1cc21de4-32c0-41ab-910f-f229be7d10f9\",\"type\":\"PanTool\"},{\"attributes\":{\"items\":[{\"id\":\"57fa4ddb-d75e-43a6-a358-5ca4a509595b\",\"type\":\"LegendItem\"},{\"id\":\"5bc2bb34-cd68-46c4-b4cb-15f6c1580f37\",\"type\":\"LegendItem\"}],\"plot\":{\"id\":\"243082f7-66ea-4c13-a090-a71769185ce3\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"f7784b9b-2ef6-45a5-9cc0-fcae752e195f\",\"type\":\"Legend\"},{\"attributes\":{},\"id\":\"915d3ef4-094f-4ffe-bb5b-4e822250f84d\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"overlay\":{\"id\":\"284d5ddf-0ff4-4eed-8ca0-80740032beb2\",\"type\":\"BoxAnnotation\"}},\"id\":\"17066d86-5cb7-4186-b46f-0ff5631fcb5f\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"7a81bbea-d5b5-4a4c-aff6-4412cc6214ce\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"8f432205-ffff-487c-80aa-b4e313f60ee0\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"16ca9f31-ef26-4602-9e82-8aa186fbd0e5\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"d9c63168-c7c6-421c-a260-c70e00897805\",\"type\":\"HelpTool\"},{\"attributes\":{\"children\":[{\"id\":\"49243b30-e297-44f2-a31d-9c36840e5ed6\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"99403638-7b67-4625-bf85-d66ebd5fdace\",\"type\":\"Row\"},{\"attributes\":{\"formatter\":{\"id\":\"643d909e-6fe1-4c09-8a34-be20db99f7e0\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"49243b30-e297-44f2-a31d-9c36840e5ed6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d69b56b3-691e-4277-9584-ed9161b8d539\",\"type\":\"BasicTicker\"}},\"id\":\"e2f87b94-01b8-4636-95e9-924f7e54867c\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"47dead17-dc6e-4e7c-b887-ca5878471456\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"children\":[{\"id\":\"99403638-7b67-4625-bf85-d66ebd5fdace\",\"type\":\"Row\"},{\"id\":\"8f62b191-7a2b-4464-bb3f-45db320ad5ae\",\"type\":\"Row\"}]},\"id\":\"36b1c01d-24a2-4abd-b6a4-5903c26d09f1\",\"type\":\"Column\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"d39e07d7-c886-4eb4-b97f-398af3b98d8f\",\"type\":\"Line\"},{\"attributes\":{\"line_color\":\"green\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"7c3fb5b8-9c9b-4380-95fa-d0ea534d6ce2\",\"type\":\"Line\"},{\"attributes\":{\"plot\":{\"id\":\"49243b30-e297-44f2-a31d-9c36840e5ed6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"d69b56b3-691e-4277-9584-ed9161b8d539\",\"type\":\"BasicTicker\"}},\"id\":\"6549e537-029e-4a90-8b1f-d6e13bb9ff73\",\"type\":\"Grid\"},{\"attributes\":{\"label\":{\"value\":\"High\"},\"renderers\":[{\"id\":\"eea14f8a-8a16-4c85-a627-dc66dea8438d\",\"type\":\"GlyphRenderer\"}]},\"id\":\"57fa4ddb-d75e-43a6-a358-5ca4a509595b\",\"type\":\"LegendItem\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199],\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[200]}}},\"id\":\"ecfa6cc0-2a38-489f-92ab-8333e72e86a3\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"label\":{\"value\":\"r_mean\"},\"renderers\":[{\"id\":\"aba154c6-7b0d-49b4-b86c-1e3533a4e3fc\",\"type\":\"GlyphRenderer\"}]},\"id\":\"5bc2bb34-cd68-46c4-b4cb-15f6c1580f37\",\"type\":\"LegendItem\"},{\"attributes\":{\"data_source\":{\"id\":\"ecfa6cc0-2a38-489f-92ab-8333e72e86a3\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"7c3fb5b8-9c9b-4380-95fa-d0ea534d6ce2\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"d39e07d7-c886-4eb4-b97f-398af3b98d8f\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"80c12244-a863-4483-8add-565e2e6ee20d\",\"type\":\"CDSView\"}},\"id\":\"aba154c6-7b0d-49b4-b86c-1e3533a4e3fc\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"f2a561c9-fa6c-46b2-8d8f-d346ab078ef9\",\"type\":\"LinearScale\"},{\"attributes\":{\"source\":{\"id\":\"ecfa6cc0-2a38-489f-92ab-8333e72e86a3\",\"type\":\"ColumnDataSource\"}},\"id\":\"80c12244-a863-4483-8add-565e2e6ee20d\",\"type\":\"CDSView\"},{\"attributes\":{\"tools\":[{\"id\":\"3698ce66-24f9-4f35-bd1f-094b913c81e2\",\"type\":\"PanTool\"},{\"id\":\"0f0d34f7-ab9b-461c-b6e4-ca49d2d58ed2\",\"type\":\"WheelZoomTool\"},{\"id\":\"a1cc5df7-1bb8-475f-ad18-78bd01e7bae7\",\"type\":\"BoxZoomTool\"},{\"id\":\"ec4c8f83-4c5f-429a-a92a-fe076d9161f6\",\"type\":\"SaveTool\"},{\"id\":\"d7472d37-4f9a-4c17-b256-5ef1eaf6559a\",\"type\":\"ResetTool\"},{\"id\":\"2825dc36-bcc6-454c-b951-6c7216ab1ec3\",\"type\":\"HelpTool\"},{\"id\":\"1cc21de4-32c0-41ab-910f-f229be7d10f9\",\"type\":\"PanTool\"},{\"id\":\"915d3ef4-094f-4ffe-bb5b-4e822250f84d\",\"type\":\"WheelZoomTool\"},{\"id\":\"17066d86-5cb7-4186-b46f-0ff5631fcb5f\",\"type\":\"BoxZoomTool\"},{\"id\":\"8f432205-ffff-487c-80aa-b4e313f60ee0\",\"type\":\"SaveTool\"},{\"id\":\"16ca9f31-ef26-4602-9e82-8aa186fbd0e5\",\"type\":\"ResetTool\"},{\"id\":\"d9c63168-c7c6-421c-a260-c70e00897805\",\"type\":\"HelpTool\"}]},\"id\":\"97463723-05a5-4702-8e7b-9df44eb856a8\",\"type\":\"ProxyToolbar\"},{\"attributes\":{\"children\":[{\"id\":\"243082f7-66ea-4c13-a090-a71769185ce3\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"8f62b191-7a2b-4464-bb3f-45db320ad5ae\",\"type\":\"Row\"},{\"attributes\":{},\"id\":\"e8d254a0-e8b6-4a5d-8320-6eb5e8a4dab8\",\"type\":\"BasicTicker\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"3698ce66-24f9-4f35-bd1f-094b913c81e2\",\"type\":\"PanTool\"},{\"id\":\"0f0d34f7-ab9b-461c-b6e4-ca49d2d58ed2\",\"type\":\"WheelZoomTool\"},{\"id\":\"a1cc5df7-1bb8-475f-ad18-78bd01e7bae7\",\"type\":\"BoxZoomTool\"},{\"id\":\"ec4c8f83-4c5f-429a-a92a-fe076d9161f6\",\"type\":\"SaveTool\"},{\"id\":\"d7472d37-4f9a-4c17-b256-5ef1eaf6559a\",\"type\":\"ResetTool\"},{\"id\":\"2825dc36-bcc6-454c-b951-6c7216ab1ec3\",\"type\":\"HelpTool\"}]},\"id\":\"39d379f9-b02a-4efc-890c-f8e5de4dbaaa\",\"type\":\"Toolbar\"},{\"attributes\":{\"toolbar\":{\"id\":\"97463723-05a5-4702-8e7b-9df44eb856a8\",\"type\":\"ProxyToolbar\"},\"toolbar_location\":\"above\"},\"id\":\"f114dd51-0882-4f0d-a5bb-8f56fdcc8f67\",\"type\":\"ToolbarBox\"},{\"attributes\":{\"children\":[{\"id\":\"f114dd51-0882-4f0d-a5bb-8f56fdcc8f67\",\"type\":\"ToolbarBox\"},{\"id\":\"36b1c01d-24a2-4abd-b6a4-5903c26d09f1\",\"type\":\"Column\"}]},\"id\":\"3c0498ec-22be-42df-9460-945c6f01ef0d\",\"type\":\"Column\"},{\"attributes\":{\"formatter\":{\"id\":\"b2bf4013-8e4d-4972-a5e7-1ad40730e20b\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"49243b30-e297-44f2-a31d-9c36840e5ed6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e8d254a0-e8b6-4a5d-8320-6eb5e8a4dab8\",\"type\":\"BasicTicker\"}},\"id\":\"3f4e9800-ab34-4ae1-a35a-e8d67cd193a4\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"d69b56b3-691e-4277-9584-ed9161b8d539\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"cebc002d-7228-4c2a-94d7-9f7ff66c4469\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"24719d4d-84d5-4d36-8004-b86083a98b69\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"94ece15e-d5ef-4247-9e97-a080d5f3cbc8\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"dadf35f3-4b90-43c4-b4e8-1ed9b8925c98\",\"type\":\"CDSView\"}},\"id\":\"eea14f8a-8a16-4c85-a627-dc66dea8438d\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"49243b30-e297-44f2-a31d-9c36840e5ed6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e8d254a0-e8b6-4a5d-8320-6eb5e8a4dab8\",\"type\":\"BasicTicker\"}},\"id\":\"e5eb0fe5-53e4-40e8-9f06-780b55081bc8\",\"type\":\"Grid\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"8b5d2260-8bea-46e0-8865-47884d9c4f1d\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"3698ce66-24f9-4f35-bd1f-094b913c81e2\",\"type\":\"PanTool\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199],\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[200]}}},\"id\":\"a49519fe-70ec-49f1-939c-7287adddc4c5\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"0f0d34f7-ab9b-461c-b6e4-ca49d2d58ed2\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"overlay\":{\"id\":\"8b5d2260-8bea-46e0-8865-47884d9c4f1d\",\"type\":\"BoxAnnotation\"}},\"id\":\"a1cc5df7-1bb8-475f-ad18-78bd01e7bae7\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"ec4c8f83-4c5f-429a-a92a-fe076d9161f6\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"d7472d37-4f9a-4c17-b256-5ef1eaf6559a\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"2825dc36-bcc6-454c-b951-6c7216ab1ec3\",\"type\":\"HelpTool\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"8292dfa0-79a3-4f11-9c7a-66fec6b5f44a\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"b2bf4013-8e4d-4972-a5e7-1ad40730e20b\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"line_color\":\"blue\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"61b65b9f-69d3-4bf6-8b06-04a72de44e32\",\"type\":\"Line\"},{\"attributes\":{\"data_source\":{\"id\":\"a49519fe-70ec-49f1-939c-7287adddc4c5\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"61b65b9f-69d3-4bf6-8b06-04a72de44e32\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"8292dfa0-79a3-4f11-9c7a-66fec6b5f44a\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"b89211e3-d8ec-4130-a94b-5f834bc9a9a5\",\"type\":\"CDSView\"}},\"id\":\"564a1a1a-ab85-47f1-b025-07935abd8ea4\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"line_color\":\"green\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"27e38da6-d297-4345-b583-063296ce5b41\",\"type\":\"Line\"},{\"attributes\":{\"items\":[{\"id\":\"767b258d-22c5-419f-8a55-31a8002d5904\",\"type\":\"LegendItem\"},{\"id\":\"a7a49cd3-1343-43a9-8280-14ba3f05a60e\",\"type\":\"LegendItem\"}],\"plot\":{\"id\":\"49243b30-e297-44f2-a31d-9c36840e5ed6\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"97ffa84f-b9ad-444c-8cc9-0882d867885b\",\"type\":\"Legend\"},{\"attributes\":{\"source\":{\"id\":\"a49519fe-70ec-49f1-939c-7287adddc4c5\",\"type\":\"ColumnDataSource\"}},\"id\":\"b89211e3-d8ec-4130-a94b-5f834bc9a9a5\",\"type\":\"CDSView\"},{\"attributes\":{\"data_source\":{\"id\":\"717bc7fb-6972-4120-a28b-33b7b7432d73\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"27e38da6-d297-4345-b583-063296ce5b41\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"e7aec7e8-c033-4d82-a63e-d78697823310\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"7e3a2008-f0c8-4c7a-8c9e-829d23742220\",\"type\":\"CDSView\"}},\"id\":\"853fbfec-8168-4930-a47d-a75e1c2ad06f\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"643d909e-6fe1-4c09-8a34-be20db99f7e0\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"below\":[{\"id\":\"74267da7-aa36-4d07-ba50-844835cc85c1\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"908c0e8b-be18-4c11-954d-9cadbcd0985c\",\"type\":\"LinearAxis\"}],\"plot_height\":300,\"plot_width\":700,\"renderers\":[{\"id\":\"74267da7-aa36-4d07-ba50-844835cc85c1\",\"type\":\"LinearAxis\"},{\"id\":\"f78e2494-f79b-483f-bd43-b48106342f9e\",\"type\":\"Grid\"},{\"id\":\"908c0e8b-be18-4c11-954d-9cadbcd0985c\",\"type\":\"LinearAxis\"},{\"id\":\"e2f859d3-52a4-4457-a98d-3cd73a2300ce\",\"type\":\"Grid\"},{\"id\":\"284d5ddf-0ff4-4eed-8ca0-80740032beb2\",\"type\":\"BoxAnnotation\"},{\"id\":\"f7784b9b-2ef6-45a5-9cc0-fcae752e195f\",\"type\":\"Legend\"},{\"id\":\"eea14f8a-8a16-4c85-a627-dc66dea8438d\",\"type\":\"GlyphRenderer\"},{\"id\":\"aba154c6-7b0d-49b4-b86c-1e3533a4e3fc\",\"type\":\"GlyphRenderer\"}],\"title\":null,\"toolbar\":{\"id\":\"cbc0acd0-4c9c-482f-867c-a376ce060fe7\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"23f82d12-ee1a-47ca-a6ee-e024fcc25a57\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"4004b58e-dbbf-4046-a31f-c5b535a448e4\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"3ee4522f-ca38-49f3-b417-a5b36c22552a\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"06fa2f9c-45a9-4760-ab01-e4ab17fb01fb\",\"type\":\"LinearScale\"}},\"id\":\"243082f7-66ea-4c13-a090-a71769185ce3\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"label\":{\"value\":\"High\"},\"renderers\":[{\"id\":\"564a1a1a-ab85-47f1-b025-07935abd8ea4\",\"type\":\"GlyphRenderer\"}]},\"id\":\"767b258d-22c5-419f-8a55-31a8002d5904\",\"type\":\"LegendItem\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e7aec7e8-c033-4d82-a63e-d78697823310\",\"type\":\"Line\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199],\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[200]}}},\"id\":\"717bc7fb-6972-4120-a28b-33b7b7432d73\",\"type\":\"ColumnDataSource\"}],\"root_ids\":[\"3c0498ec-22be-42df-9460-945c6f01ef0d\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.13\"}};\n",
       "  var render_items = [{\"docid\":\"33929cbb-1810-473d-b97e-4d6317f43f53\",\"elementid\":\"b34ebfa9-4a16-45d8-8751-b23896af5cf2\",\"modelid\":\"3c0498ec-22be-42df-9460-945c6f01ef0d\"}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "3c0498ec-22be-42df-9460-945c6f01ef0d"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax0 = bk.figure(plot_width=700, plot_height=300, title=None)\n",
    "data0 = AAPL_yahoo.iloc[-200:,1:3]\n",
    "ax0.line(x=np.arange(len(data0)), y=data0['High'], \n",
    "         legend='High', line_color='blue')\n",
    "ax0.line(x=np.arange(len(data0)), y=data0['Low'], \n",
    "         legend='Low', line_color='green')\n",
    "\n",
    "ax1 = bk.figure(plot_width=700, plot_height=300, title=None)\n",
    "AAPL_yahoo['r_mean'] = AAPL_yahoo['High'].rolling(window=20, center=False).mean()\n",
    "data1 = AAPL_yahoo.iloc[-200:]\n",
    "ax1.line(x=np.arange(len(data1)), y=data1['High'],\n",
    "         legend='High', line_color='blue')\n",
    "ax1.line(x=np.arange(len(data1)), y=data1['r_mean'],\n",
    "        legend='r_mean', line_color='green')\n",
    "\n",
    "fig = bk.gridplot([[ax0], [ax1]])\n",
    "bk.show(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "1026e1ea-38cd-4ea9-84d4-31fc7fb58e3b"
    }
   },
   "source": [
    "## 2 Quandl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "nbpresent": {
     "id": "686aed04-2f11-40f7-866d-0f0bb17b90af"
    }
   },
   "outputs": [],
   "source": [
    "AAPL_google = web.DataReader(\"AAPL\", 'quandl')\n",
    "IBM_google = web.DataReader(\"IBM\", 'quandl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "nbpresent": {
     "id": "af18b38f-1cf1-4c54-aa05-055bc5a10ce2"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div class=\"bk-root\">\n",
       "    <div class=\"bk-plotdiv\" id=\"d4309130-59ea-41f6-8a43-8b6f8ecefab5\"></div>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"6782467d-024d-48a7-8d5b-14072fbc9499\":{\"roots\":{\"references\":[{\"attributes\":{\"days\":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]},\"id\":\"29d4654c-fa52-4829-8fae-deafadd594a0\",\"type\":\"DaysTicker\"},{\"attributes\":{\"base\":60,\"mantissas\":[1,2,5,10,15,20,30],\"max_interval\":1800000.0,\"min_interval\":1000.0,\"num_minor_ticks\":0},\"id\":\"7bf64f83-bad4-42d1-9b7d-d24d5b54504e\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"mantissas\":[1,2,5],\"max_interval\":500.0,\"num_minor_ticks\":0},\"id\":\"9b1f45f5-b3ad-4a72-9542-e10f3a5505c0\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"days\":[1,15]},\"id\":\"5a367233-4554-4714-8330-939485b546f7\",\"type\":\"DaysTicker\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"81c9f8ff-bf63-4e72-bf32-749e53246e38\",\"type\":\"Line\"},{\"attributes\":{\"line_color\":\"royalblue\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"91168d48-d1d0-42e1-94a6-494e53c08d5d\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"8596bf07-c84e-4161-828d-ba34ca58c5da\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[2037]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[2037]}}},\"id\":\"3050eb6b-ba97-4faa-97b2-94fe601be2f5\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"source\":{\"id\":\"d859eed1-ff41-414b-a704-276ca2ba22c4\",\"type\":\"ColumnDataSource\"}},\"id\":\"7e312297-2bfd-49da-b787-d5f0b6e2ff3f\",\"type\":\"CDSView\"},{\"attributes\":{\"base\":24,\"mantissas\":[1,2,4,6,8,12],\"max_interval\":43200000.0,\"min_interval\":3600000.0,\"num_minor_ticks\":0},\"id\":\"b44c2c9f-0542-40ec-b33b-59c9f1d76b9d\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"days\":[1,8,15,22]},\"id\":\"af5df7e5-c627-4d38-8fe7-2e2141bce7db\",\"type\":\"DaysTicker\"},{\"attributes\":{\"line_color\":\"darkred\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"d09f52cd-13c9-4268-986c-fc9735e05920\",\"type\":\"Line\"},{\"attributes\":{\"items\":[{\"id\":\"bf9f6390-2dbd-4af8-9c5c-126968d7cba2\",\"type\":\"LegendItem\"},{\"id\":\"26074582-4f84-4f3f-b8a9-5b8b8bec0e50\",\"type\":\"LegendItem\"}],\"location\":\"top_left\",\"plot\":{\"id\":\"08d68556-986d-4c71-92e9-bbace1ee3abb\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"1aa3efe7-5c78-40d1-ba50-1f443838481a\",\"type\":\"Legend\"},{\"attributes\":{\"data_source\":{\"id\":\"d859eed1-ff41-414b-a704-276ca2ba22c4\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"d09f52cd-13c9-4268-986c-fc9735e05920\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"81c9f8ff-bf63-4e72-bf32-749e53246e38\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"7e312297-2bfd-49da-b787-d5f0b6e2ff3f\",\"type\":\"CDSView\"}},\"id\":\"7f073964-556e-4b80-b701-ddaec16d5e84\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"months\":[0,4,8]},\"id\":\"86db303b-6b6c-46f5-b1d2-f6a60e050bf2\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"4589fea6-c006-4474-871a-b8d35a397637\",\"type\":\"Line\"},{\"attributes\":{\"formatter\":{\"id\":\"ab9acd1d-726c-4fc5-a9bd-845e1d8b5942\",\"type\":\"DatetimeTickFormatter\"},\"plot\":{\"id\":\"08d68556-986d-4c71-92e9-bbace1ee3abb\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"21ca002b-3b83-4cda-b08d-7078a3e38f00\",\"type\":\"DatetimeTicker\"}},\"id\":\"ab02c81e-887d-433d-beb1-daab4c3e3fc1\",\"type\":\"DatetimeAxis\"},{\"attributes\":{\"source\":{\"id\":\"3050eb6b-ba97-4faa-97b2-94fe601be2f5\",\"type\":\"ColumnDataSource\"}},\"id\":\"18e418ac-66a6-4f79-9089-2cf45533285b\",\"type\":\"CDSView\"},{\"attributes\":{\"plot\":{\"id\":\"08d68556-986d-4c71-92e9-bbace1ee3abb\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"21ca002b-3b83-4cda-b08d-7078a3e38f00\",\"type\":\"DatetimeTicker\"}},\"id\":\"4c3e6316-481f-4f59-bb43-51aa1f1f6d9e\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"f993eb9c-a4e7-4c9b-b476-b2e260621620\",\"type\":\"YearsTicker\"},{\"attributes\":{\"callback\":null},\"id\":\"a72fe69b-62d9-434f-94d1-2bb849416de3\",\"type\":\"DataRange1d\"},{\"attributes\":{\"formatter\":{\"id\":\"8596bf07-c84e-4161-828d-ba34ca58c5da\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"08d68556-986d-4c71-92e9-bbace1ee3abb\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4a57d080-bb1c-41c0-9ac5-28a3c9087ccf\",\"type\":\"BasicTicker\"}},\"id\":\"8bdb73de-5be0-42ba-b177-19aa3c17d132\",\"type\":\"LinearAxis\"},{\"attributes\":{\"days\":[1,4,7,10,13,16,19,22,25,28]},\"id\":\"979fbf5d-e31a-40c2-9d15-e82dbf65f0e5\",\"type\":\"DaysTicker\"},{\"attributes\":{\"plot\":null,\"text\":\"Closing Prices - From Google Finance\"},\"id\":\"28e39e2b-6df2-4d15-92e8-c7ffa94153ac\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"5e2597aa-077e-416c-91b2-8b0d031045db\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"ab9acd1d-726c-4fc5-a9bd-845e1d8b5942\",\"type\":\"DatetimeTickFormatter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"565094db-7324-42ba-9821-36721c0d9ecc\",\"type\":\"PanTool\"},{\"id\":\"ed173895-6c30-4540-8cad-1f2d07953249\",\"type\":\"BoxZoomTool\"},{\"id\":\"1e781c6e-489a-46f1-bf0c-baa7b1b881a1\",\"type\":\"ResetTool\"}]},\"id\":\"e6b998dd-d7fa-44bb-a732-b0e515a8315f\",\"type\":\"Toolbar\"},{\"attributes\":{\"months\":[0,6]},\"id\":\"4a65438e-bdf1-48d5-9a5d-c61f8ae1f970\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"below\":[{\"id\":\"ab02c81e-887d-433d-beb1-daab4c3e3fc1\",\"type\":\"DatetimeAxis\"}],\"left\":[{\"id\":\"8bdb73de-5be0-42ba-b177-19aa3c17d132\",\"type\":\"LinearAxis\"}],\"plot_height\":400,\"plot_width\":750,\"renderers\":[{\"id\":\"ab02c81e-887d-433d-beb1-daab4c3e3fc1\",\"type\":\"DatetimeAxis\"},{\"id\":\"4c3e6316-481f-4f59-bb43-51aa1f1f6d9e\",\"type\":\"Grid\"},{\"id\":\"8bdb73de-5be0-42ba-b177-19aa3c17d132\",\"type\":\"LinearAxis\"},{\"id\":\"9227a801-1728-40fc-a6ea-5b166905f559\",\"type\":\"Grid\"},{\"id\":\"290877c9-14b7-4d44-9a77-376e26e52c79\",\"type\":\"BoxAnnotation\"},{\"id\":\"1aa3efe7-5c78-40d1-ba50-1f443838481a\",\"type\":\"Legend\"},{\"id\":\"7f073964-556e-4b80-b701-ddaec16d5e84\",\"type\":\"GlyphRenderer\"},{\"id\":\"1f8404ef-3b34-4d05-8e3b-4732843bae2b\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"28e39e2b-6df2-4d15-92e8-c7ffa94153ac\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"e6b998dd-d7fa-44bb-a732-b0e515a8315f\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"a72fe69b-62d9-434f-94d1-2bb849416de3\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"5e2597aa-077e-416c-91b2-8b0d031045db\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"d6dcfc6c-66d5-4ec6-a4e7-137e278c049f\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"5d42ca3e-3ef9-49be-8598-d655e850d4b4\",\"type\":\"LinearScale\"}},\"id\":\"08d68556-986d-4c71-92e9-bbace1ee3abb\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"months\":[0,1,2,3,4,5,6,7,8,9,10,11]},\"id\":\"b72a40d4-a0c1-48fe-85ac-f30f65413ff5\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"num_minor_ticks\":5,\"tickers\":[{\"id\":\"9b1f45f5-b3ad-4a72-9542-e10f3a5505c0\",\"type\":\"AdaptiveTicker\"},{\"id\":\"7bf64f83-bad4-42d1-9b7d-d24d5b54504e\",\"type\":\"AdaptiveTicker\"},{\"id\":\"b44c2c9f-0542-40ec-b33b-59c9f1d76b9d\",\"type\":\"AdaptiveTicker\"},{\"id\":\"29d4654c-fa52-4829-8fae-deafadd594a0\",\"type\":\"DaysTicker\"},{\"id\":\"979fbf5d-e31a-40c2-9d15-e82dbf65f0e5\",\"type\":\"DaysTicker\"},{\"id\":\"af5df7e5-c627-4d38-8fe7-2e2141bce7db\",\"type\":\"DaysTicker\"},{\"id\":\"5a367233-4554-4714-8330-939485b546f7\",\"type\":\"DaysTicker\"},{\"id\":\"b72a40d4-a0c1-48fe-85ac-f30f65413ff5\",\"type\":\"MonthsTicker\"},{\"id\":\"aa1d270a-06d6-4a8d-a1ea-5e1f1157ae29\",\"type\":\"MonthsTicker\"},{\"id\":\"86db303b-6b6c-46f5-b1d2-f6a60e050bf2\",\"type\":\"MonthsTicker\"},{\"id\":\"4a65438e-bdf1-48d5-9a5d-c61f8ae1f970\",\"type\":\"MonthsTicker\"},{\"id\":\"f993eb9c-a4e7-4c9b-b476-b2e260621620\",\"type\":\"YearsTicker\"}]},\"id\":\"21ca002b-3b83-4cda-b08d-7078a3e38f00\",\"type\":\"DatetimeTicker\"},{\"attributes\":{\"months\":[0,2,4,6,8,10]},\"id\":\"aa1d270a-06d6-4a8d-a1ea-5e1f1157ae29\",\"type\":\"MonthsTicker\"},{\"attributes\":{},\"id\":\"1e781c6e-489a-46f1-bf0c-baa7b1b881a1\",\"type\":\"ResetTool\"},{\"attributes\":{\"label\":{\"value\":\"Apple\"},\"renderers\":[{\"id\":\"7f073964-556e-4b80-b701-ddaec16d5e84\",\"type\":\"GlyphRenderer\"}]},\"id\":\"bf9f6390-2dbd-4af8-9c5c-126968d7cba2\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"5d42ca3e-3ef9-49be-8598-d655e850d4b4\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null},\"id\":\"d6dcfc6c-66d5-4ec6-a4e7-137e278c049f\",\"type\":\"DataRange1d\"},{\"attributes\":{\"data_source\":{\"id\":\"3050eb6b-ba97-4faa-97b2-94fe601be2f5\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"91168d48-d1d0-42e1-94a6-494e53c08d5d\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"4589fea6-c006-4474-871a-b8d35a397637\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"18e418ac-66a6-4f79-9089-2cf45533285b\",\"type\":\"CDSView\"}},\"id\":\"1f8404ef-3b34-4d05-8e3b-4732843bae2b\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"overlay\":{\"id\":\"290877c9-14b7-4d44-9a77-376e26e52c79\",\"type\":\"BoxAnnotation\"}},\"id\":\"ed173895-6c30-4540-8cad-1f2d07953249\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"290877c9-14b7-4d44-9a77-376e26e52c79\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"08d68556-986d-4c71-92e9-bbace1ee3abb\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4a57d080-bb1c-41c0-9ac5-28a3c9087ccf\",\"type\":\"BasicTicker\"}},\"id\":\"9227a801-1728-40fc-a6ea-5b166905f559\",\"type\":\"Grid\"},{\"attributes\":{\"label\":{\"value\":\"IBM\"},\"renderers\":[{\"id\":\"1f8404ef-3b34-4d05-8e3b-4732843bae2b\",\"type\":\"GlyphRenderer\"}]},\"id\":\"26074582-4f84-4f3f-b8a9-5b8b8bec0e50\",\"type\":\"LegendItem\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[2036]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[2036]}}},\"id\":\"d859eed1-ff41-414b-a704-276ca2ba22c4\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"4a57d080-bb1c-41c0-9ac5-28a3c9087ccf\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"565094db-7324-42ba-9821-36721c0d9ecc\",\"type\":\"PanTool\"}],\"root_ids\":[\"08d68556-986d-4c71-92e9-bbace1ee3abb\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.13\"}};\n",
       "  var render_items = [{\"docid\":\"6782467d-024d-48a7-8d5b-14072fbc9499\",\"elementid\":\"d4309130-59ea-41f6-8a43-8b6f8ecefab5\",\"modelid\":\"08d68556-986d-4c71-92e9-bbace1ee3abb\"}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "08d68556-986d-4c71-92e9-bbace1ee3abb"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = bk.figure(x_axis_type = \"datetime\",\n",
    "       tools=\"pan,box_zoom,reset\", title='Closing Prices - From Google Finance',\n",
    "       plot_width=750, plot_height=400)\n",
    "fig.line(AAPL_google.index, AAPL_google['Close'],\n",
    "         line_width=2, color='darkred', legend='Apple')\n",
    "fig.line(IBM_google.index, IBM_google['Close'],\n",
    "         line_width=2, color='royalblue', legend='IBM')\n",
    "fig.legend.location = \"top_left\"\n",
    "bk.show(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "108b13e5-3db0-4650-9d4c-4bd2c3d14ce4"
    }
   },
   "source": [
    "## 3 Federal Reserve Economic Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "3a31064a-8577-4468-8688-0da6c4a24d9a"
    }
   },
   "source": [
    "Federal Reserve Economic Data **(FRED)** is an online database consisting of more than 148,000 economic data time series from 59 national, international, public, and private sources."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true,
    "nbpresent": {
     "id": "83bd4c76-c53b-458a-9807-764c7d982517"
    }
   },
   "outputs": [],
   "source": [
    "start = datetime.datetime(2005, 1, 1)\n",
    "end = datetime.datetime(2014, 2, 1)\n",
    "# LMUNRLTTATM647N Registered Unemployment Level for Austria\n",
    "# LMUNRLTTDKM647N Registered Unemployment Level for Denmark\n",
    "# LMUNRLTTDEM647N Registered Unemployment Level for Germany\n",
    "# LMUNRLTTIEM647N Registered Unemployment Level for Ireland\n",
    "unemployment = web.DataReader(['LMUNRLTTATM647N', 'LMUNRLTTDKM647N', 'LMUNRLTTDEM647N',\n",
    "                            'LMUNRLTTIEM647N'], 'fred', start, end)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "nbpresent": {
     "id": "5e19c22c-9d68-49f4-bf5d-ca47ff904f7d"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div class=\"bk-root\">\n",
       "    <div class=\"bk-plotdiv\" id=\"b0f5c749-6831-43ee-8329-b06ed8cd9ead\"></div>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"735f753d-0087-4d09-889f-b22928180b4b\":{\"roots\":{\"references\":[{\"attributes\":{\"callback\":null},\"id\":\"9ee6b566-ff62-4960-b5df-f58a11fb3a01\",\"type\":\"DataRange1d\"},{\"attributes\":{\"items\":[{\"id\":\"faa186a7-eb51-4068-8b4b-db82400765bf\",\"type\":\"LegendItem\"},{\"id\":\"dabf43a5-415c-4acb-9142-7c7ac6170be5\",\"type\":\"LegendItem\"},{\"id\":\"d0cfa58c-9429-4ba9-a400-a4cdc6fe2b54\",\"type\":\"LegendItem\"},{\"id\":\"72a996c9-635f-48ca-ac71-04181ededfc7\",\"type\":\"LegendItem\"}],\"plot\":{\"id\":\"05257a8b-8143-44c7-bfb9-13feb69e71ac\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"af4cd382-de10-497f-b587-fac749380676\",\"type\":\"Legend\"},{\"attributes\":{\"label\":{\"value\":\"Austria\"},\"renderers\":[{\"id\":\"f0a36c26-9ec8-4baa-9048-07be5003ce0c\",\"type\":\"GlyphRenderer\"}]},\"id\":\"faa186a7-eb51-4068-8b4b-db82400765bf\",\"type\":\"LegendItem\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[110]},\"y\":[316000,310000,273000,246000,223000,211000,211000,219000,220000,238000,257000,307000,327000,312000,272000,232000,212000,196000,197000,201000,196000,215000,232000,279000,295000,277000,238000,219000,198000,184000,185000,191000,186000,205000,224000,265000,269000,244000,210000,205000,185000,173000,179000,184000,183000,203000,226000,287000,302000,302000,271000,258000,240000,230000,232000,239000,235000,246000,258000,313000,324000,313000,266000,250000,227000,213000,212000,218000,214000,226000,244000,302000,310000,292000,253000,236000,221000,208000,210000,219000,218000,235000,253000,305000,318000,310000,264000,252000,231000,220000,228000,233000,229000,250000,270000,323000,338000,326000,290000,273000,252000,242000,256000,263000,261000,280000,302000,361000,370000,357000]}},\"id\":\"7b7cfc3e-e13f-4336-8539-64ed75ce561f\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"a5a35435-ea23-4bd0-b6a4-652dda79a5cb\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"e94fca2d-7d72-4768-be31-928408b3bdc1\",\"type\":\"LinearScale\"},{\"attributes\":{\"days\":[1,8,15,22]},\"id\":\"71b0262c-2d51-4c83-bc24-b125b3940b0a\",\"type\":\"DaysTicker\"},{\"attributes\":{},\"id\":\"d813b8a4-5eb1-4e41-b0d1-7c7e19ab96c9\",\"type\":\"YearsTicker\"},{\"attributes\":{\"callback\":null},\"id\":\"655583f1-8ff3-49aa-8970-26431c59ae3a\",\"type\":\"DataRange1d\"},{\"attributes\":{\"base\":24,\"mantissas\":[1,2,4,6,8,12],\"max_interval\":43200000.0,\"min_interval\":3600000.0,\"num_minor_ticks\":0},\"id\":\"bad5003a-8d03-4108-b679-b0f017dc4982\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{},\"id\":\"88fbd8f8-b502-4c75-ba97-4db33e859509\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":{\"id\":\"05257a8b-8143-44c7-bfb9-13feb69e71ac\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"c60ed957-0e83-4fe9-a508-bfa3333a054d\",\"type\":\"DatetimeTicker\"}},\"id\":\"a4d5405a-7260-4e77-9786-38103d22ab30\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[110]},\"y\":[5087000,5288000,5266000,5052000,4884000,4781000,4837000,4798000,4647000,4555000,4531000,4605000,5010000,5047000,4978000,4791000,4538000,4399000,4386000,4372000,4238000,4084000,3996000,4008000,4262000,4226000,4105000,3958000,3796000,3673000,3701000,3692000,3531000,3421000,3367000,3395000,3648000,3606000,3497000,3404000,3274000,3152000,3202000,3188000,3073000,2989000,2981000,3094000,3480000,3543000,3576000,3575000,3449000,3402000,3454000,3463000,3339000,3221000,3208000,3268000,3610000,3635000,3560000,3400000,3236000,3149000,3187000,3183000,3027000,2941000,2927000,3012000,3346000,3313000,3211000,3079000,2961000,2894000,2940000,2946000,2796000,2738000,2714000,2781000,3085000,3110000,3028000,2964000,2855000,2809000,2876000,2905000,2788000,2753000,2751000,2840000,3138000,3156000,3098000,3020000,2937000,2865000,2914000,2946000,2849000,2801000,2806000,2874000,3136000,3138000]}},\"id\":\"4b087ecc-9fcd-4aaf-92c6-91ea84412c2c\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"axis_label\":\"Year\",\"formatter\":{\"id\":\"6a2f5a4c-aabb-4d79-aa95-1b4a4b9d1b7a\",\"type\":\"DatetimeTickFormatter\"},\"major_label_text_font_size\":{\"value\":\"12pt\"},\"plot\":{\"id\":\"05257a8b-8143-44c7-bfb9-13feb69e71ac\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"c60ed957-0e83-4fe9-a508-bfa3333a054d\",\"type\":\"DatetimeTicker\"}},\"id\":\"44f30897-663e-4b88-ab39-cc5ce1993d3f\",\"type\":\"DatetimeAxis\"},{\"attributes\":{\"num_minor_ticks\":5,\"tickers\":[{\"id\":\"13429daa-5899-4f08-83e4-3a5774f308a9\",\"type\":\"AdaptiveTicker\"},{\"id\":\"769880d0-7ea9-48eb-a8d2-8e8d99373bea\",\"type\":\"AdaptiveTicker\"},{\"id\":\"bad5003a-8d03-4108-b679-b0f017dc4982\",\"type\":\"AdaptiveTicker\"},{\"id\":\"463b8493-8950-4357-9c09-1ff0d4d670f9\",\"type\":\"DaysTicker\"},{\"id\":\"96d4390c-ce19-4ed1-a9f3-855643894383\",\"type\":\"DaysTicker\"},{\"id\":\"71b0262c-2d51-4c83-bc24-b125b3940b0a\",\"type\":\"DaysTicker\"},{\"id\":\"e708ad8e-4353-405b-a314-9395f8aa3eed\",\"type\":\"DaysTicker\"},{\"id\":\"3f3846f4-f057-4ea8-9120-275e1888477d\",\"type\":\"MonthsTicker\"},{\"id\":\"147818f1-13b4-44d6-8ac1-0afd18f9f1dd\",\"type\":\"MonthsTicker\"},{\"id\":\"64644fd9-5361-47f9-81fb-077fb13565ee\",\"type\":\"MonthsTicker\"},{\"id\":\"912a0e1c-50de-478e-809e-8dde10a73108\",\"type\":\"MonthsTicker\"},{\"id\":\"d813b8a4-5eb1-4e41-b0d1-7c7e19ab96c9\",\"type\":\"YearsTicker\"}]},\"id\":\"c60ed957-0e83-4fe9-a508-bfa3333a054d\",\"type\":\"DatetimeTicker\"},{\"attributes\":{},\"id\":\"6a2f5a4c-aabb-4d79-aa95-1b4a4b9d1b7a\",\"type\":\"DatetimeTickFormatter\"},{\"attributes\":{\"days\":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]},\"id\":\"463b8493-8950-4357-9c09-1ff0d4d670f9\",\"type\":\"DaysTicker\"},{\"attributes\":{\"axis_label\":\"Registered Unemployment Level\",\"formatter\":{\"id\":\"f82d5b61-c069-4466-becc-93368369aca3\",\"type\":\"NumeralTickFormatter\"},\"plot\":{\"id\":\"05257a8b-8143-44c7-bfb9-13feb69e71ac\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f1a2c521-ba98-4d01-b859-eb2a6ec918a9\",\"type\":\"BasicTicker\"}},\"id\":\"44d8b40f-848e-4c74-b0e4-9c91721b412b\",\"type\":\"LinearAxis\"},{\"attributes\":{\"months\":[0,1,2,3,4,5,6,7,8,9,10,11]},\"id\":\"3f3846f4-f057-4ea8-9120-275e1888477d\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"8cc287e0-7e31-4b1e-881f-9d650b895916\",\"type\":\"PanTool\"},{\"id\":\"b5e98c45-9d6b-4eae-8630-9917d7ceb617\",\"type\":\"BoxZoomTool\"},{\"id\":\"57d6848a-5876-4f00-b873-88b6dad3b91d\",\"type\":\"ResetTool\"}]},\"id\":\"bf4b80be-aac1-4ded-9279-72cdc73f2e59\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"f1a2c521-ba98-4d01-b859-eb2a6ec918a9\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"05257a8b-8143-44c7-bfb9-13feb69e71ac\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f1a2c521-ba98-4d01-b859-eb2a6ec918a9\",\"type\":\"BasicTicker\"}},\"id\":\"bbb08aa9-8453-4d06-b40c-a63da3d9d68a\",\"type\":\"Grid\"},{\"attributes\":{\"base\":60,\"mantissas\":[1,2,5,10,15,20,30],\"max_interval\":1800000.0,\"min_interval\":1000.0,\"num_minor_ticks\":0},\"id\":\"769880d0-7ea9-48eb-a8d2-8e8d99373bea\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"days\":[1,15]},\"id\":\"e708ad8e-4353-405b-a314-9395f8aa3eed\",\"type\":\"DaysTicker\"},{\"attributes\":{\"line_color\":\"#800080\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"fe881242-607a-4287-9b74-dba24fa76238\",\"type\":\"Line\"},{\"attributes\":{\"months\":[0,4,8]},\"id\":\"64644fd9-5361-47f9-81fb-077fb13565ee\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"source\":{\"id\":\"4b087ecc-9fcd-4aaf-92c6-91ea84412c2c\",\"type\":\"ColumnDataSource\"}},\"id\":\"f5694145-8e31-4914-8af6-80ddd0105013\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"8cc287e0-7e31-4b1e-881f-9d650b895916\",\"type\":\"PanTool\"},{\"attributes\":{\"months\":[0,6]},\"id\":\"912a0e1c-50de-478e-809e-8dde10a73108\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"line_color\":\"#008B8B\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"cd386c98-03da-42c6-b00c-5b211e7cfc9c\",\"type\":\"Line\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[110]},\"y\":[161000,159000,158000,152000,151000,159000,169000,169000,153000,150000,150000,156000,160000,160000,156000,155000,153000,163000,169000,170000,152000,149000,149000,155000,159000,159000,156000,154000,154000,166000,175000,174000,161000,157000,162000,170000,181000,189000,198000,196000,202000,221000,238000,247000,240000,251000,267000,290000,326000,352000,369000,382000,394000,415000,432000,437000,420000,412000,414000,424000,437000,437000,435000,433000,438000,453000,467000,467000,442000,430000,425000,437000,443000,444000,441000,440000,441000,458000,470000,470000,437000,430000,430000,435000,439000,439000,433000,429000,432000,451000,460000,456000,429000,419000,418000,423000,429000,428000,424000,417000,421000,435000,442000,435000,408000,396000,391000,395000,399000,398000]}},\"id\":\"00982789-2392-4331-ba60-02340ce146f4\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"overlay\":{\"id\":\"9472d88b-83d4-4ff5-b289-db3f6aeeba2c\",\"type\":\"BoxAnnotation\"}},\"id\":\"b5e98c45-9d6b-4eae-8630-9917d7ceb617\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"plot\":null,\"text\":\"Unemployment - Europe\"},\"id\":\"4b4cd1b0-1536-44b4-aa7e-e96e2eff6c91\",\"type\":\"Title\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"a4d18866-95b8-4639-b3e2-c747a4a6a853\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"f82d5b61-c069-4466-becc-93368369aca3\",\"type\":\"NumeralTickFormatter\"},{\"attributes\":{\"label\":{\"value\":\"Germany\"},\"renderers\":[{\"id\":\"1c626464-dde0-4119-8c6e-38844f4e7771\",\"type\":\"GlyphRenderer\"}]},\"id\":\"d0cfa58c-9429-4ba9-a400-a4cdc6fe2b54\",\"type\":\"LegendItem\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[110]},\"y\":[190000,175000,171000,164000,151000,143000,154000,156000,139000,137000,132000,129000,156000,146000,136000,132000,115000,109000,119000,123000,106000,104000,98000,97000,105000,102000,97000,87000,80000,76000,71000,70000,66000,62000,59000,58000,68000,63000,58000,50000,46000,43000,42000,44000,44000,46000,50000,59000,77000,83000,93000,97000,95000,97000,94000,96000,100000,103000,108000,113000,136000,136000,135000,122000,111000,108000,103000,102000,103000,103000,104000,107000,130000,125000,123000,109000,106000,103000,99000,101000,101000,100000,101000,104000,122000,125000,127000,119000,115000,115000,113000,115000,115000,115000,116000,120000,140000,135000,130000,123000,114000,111000,112000,112000,108000,108000,109000,111000,127000,125000]}},\"id\":\"3efd1b48-a420-428e-a50a-d587dda0b8ae\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"ec9223ca-72cc-4252-8a2a-19f4555fef7c\",\"type\":\"Line\"},{\"attributes\":{\"days\":[1,4,7,10,13,16,19,22,25,28]},\"id\":\"96d4390c-ce19-4ed1-a9f3-855643894383\",\"type\":\"DaysTicker\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"46e09765-4396-499b-83b9-ab658fdbca6d\",\"type\":\"Line\"},{\"attributes\":{\"below\":[{\"id\":\"44f30897-663e-4b88-ab39-cc5ce1993d3f\",\"type\":\"DatetimeAxis\"}],\"left\":[{\"id\":\"44d8b40f-848e-4c74-b0e4-9c91721b412b\",\"type\":\"LinearAxis\"}],\"plot_height\":300,\"plot_width\":750,\"renderers\":[{\"id\":\"44f30897-663e-4b88-ab39-cc5ce1993d3f\",\"type\":\"DatetimeAxis\"},{\"id\":\"a4d5405a-7260-4e77-9786-38103d22ab30\",\"type\":\"Grid\"},{\"id\":\"44d8b40f-848e-4c74-b0e4-9c91721b412b\",\"type\":\"LinearAxis\"},{\"id\":\"bbb08aa9-8453-4d06-b40c-a63da3d9d68a\",\"type\":\"Grid\"},{\"id\":\"9472d88b-83d4-4ff5-b289-db3f6aeeba2c\",\"type\":\"BoxAnnotation\"},{\"id\":\"af4cd382-de10-497f-b587-fac749380676\",\"type\":\"Legend\"},{\"id\":\"f0a36c26-9ec8-4baa-9048-07be5003ce0c\",\"type\":\"GlyphRenderer\"},{\"id\":\"98d8dfed-8fa8-4b80-8f95-1ecc5adab61f\",\"type\":\"GlyphRenderer\"},{\"id\":\"1c626464-dde0-4119-8c6e-38844f4e7771\",\"type\":\"GlyphRenderer\"},{\"id\":\"9cd47ae5-f032-4358-8032-f6afb95c9221\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"4b4cd1b0-1536-44b4-aa7e-e96e2eff6c91\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"bf4b80be-aac1-4ded-9279-72cdc73f2e59\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"9ee6b566-ff62-4960-b5df-f58a11fb3a01\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"e94fca2d-7d72-4768-be31-928408b3bdc1\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"655583f1-8ff3-49aa-8970-26431c59ae3a\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"88fbd8f8-b502-4c75-ba97-4db33e859509\",\"type\":\"LinearScale\"}},\"id\":\"05257a8b-8143-44c7-bfb9-13feb69e71ac\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"label\":{\"value\":\"Ireland\"},\"renderers\":[{\"id\":\"9cd47ae5-f032-4358-8032-f6afb95c9221\",\"type\":\"GlyphRenderer\"}]},\"id\":\"72a996c9-635f-48ca-ac71-04181ededfc7\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"57d6848a-5876-4f00-b873-88b6dad3b91d\",\"type\":\"ResetTool\"},{\"attributes\":{\"source\":{\"id\":\"00982789-2392-4331-ba60-02340ce146f4\",\"type\":\"ColumnDataSource\"}},\"id\":\"5726fb58-2fd5-4e0c-b40c-594a10822aa3\",\"type\":\"CDSView\"},{\"attributes\":{\"label\":{\"value\":\"Denmark\"},\"renderers\":[{\"id\":\"98d8dfed-8fa8-4b80-8f95-1ecc5adab61f\",\"type\":\"GlyphRenderer\"}]},\"id\":\"dabf43a5-415c-4acb-9142-7c7ac6170be5\",\"type\":\"LegendItem\"},{\"attributes\":{\"line_color\":\"#FF0000\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"9d7e0651-4425-4efd-8a0d-1fa6c63ab7db\",\"type\":\"Line\"},{\"attributes\":{\"mantissas\":[1,2,5],\"max_interval\":500.0,\"num_minor_ticks\":0},\"id\":\"13429daa-5899-4f08-83e4-3a5774f308a9\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"9472d88b-83d4-4ff5-b289-db3f6aeeba2c\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"source\":{\"id\":\"7b7cfc3e-e13f-4336-8539-64ed75ce561f\",\"type\":\"ColumnDataSource\"}},\"id\":\"1ee539c9-4a8a-4a3b-93fd-474790a8aecb\",\"type\":\"CDSView\"},{\"attributes\":{\"source\":{\"id\":\"3efd1b48-a420-428e-a50a-d587dda0b8ae\",\"type\":\"ColumnDataSource\"}},\"id\":\"2d5ea5ef-bb0b-4e84-8d24-32928489c897\",\"type\":\"CDSView\"},{\"attributes\":{\"data_source\":{\"id\":\"3efd1b48-a420-428e-a50a-d587dda0b8ae\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"cd386c98-03da-42c6-b00c-5b211e7cfc9c\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"a5a35435-ea23-4bd0-b6a4-652dda79a5cb\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"2d5ea5ef-bb0b-4e84-8d24-32928489c897\",\"type\":\"CDSView\"}},\"id\":\"98d8dfed-8fa8-4b80-8f95-1ecc5adab61f\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"line_color\":\"#2E8B57\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1d061e6e-b9fe-4290-ae0e-f2119f0dfd42\",\"type\":\"Line\"},{\"attributes\":{\"months\":[0,2,4,6,8,10]},\"id\":\"147818f1-13b4-44d6-8ac1-0afd18f9f1dd\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"7b7cfc3e-e13f-4336-8539-64ed75ce561f\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"fe881242-607a-4287-9b74-dba24fa76238\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"a4d18866-95b8-4639-b3e2-c747a4a6a853\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"1ee539c9-4a8a-4a3b-93fd-474790a8aecb\",\"type\":\"CDSView\"}},\"id\":\"f0a36c26-9ec8-4baa-9048-07be5003ce0c\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"data_source\":{\"id\":\"4b087ecc-9fcd-4aaf-92c6-91ea84412c2c\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"9d7e0651-4425-4efd-8a0d-1fa6c63ab7db\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"46e09765-4396-499b-83b9-ab658fdbca6d\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"f5694145-8e31-4914-8af6-80ddd0105013\",\"type\":\"CDSView\"}},\"id\":\"1c626464-dde0-4119-8c6e-38844f4e7771\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"data_source\":{\"id\":\"00982789-2392-4331-ba60-02340ce146f4\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"1d061e6e-b9fe-4290-ae0e-f2119f0dfd42\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"ec9223ca-72cc-4252-8a2a-19f4555fef7c\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"5726fb58-2fd5-4e0c-b40c-594a10822aa3\",\"type\":\"CDSView\"}},\"id\":\"9cd47ae5-f032-4358-8032-f6afb95c9221\",\"type\":\"GlyphRenderer\"}],\"root_ids\":[\"05257a8b-8143-44c7-bfb9-13feb69e71ac\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.13\"}};\n",
       "  var render_items = [{\"docid\":\"735f753d-0087-4d09-889f-b22928180b4b\",\"elementid\":\"b0f5c749-6831-43ee-8329-b06ed8cd9ead\",\"modelid\":\"05257a8b-8143-44c7-bfb9-13feb69e71ac\"}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "05257a8b-8143-44c7-bfb9-13feb69e71ac"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.models.formatters import NumeralTickFormatter\n",
    "\n",
    "fig = bk.figure(x_axis_type = \"datetime\",\n",
    "               tools=\"pan,box_zoom,reset\", title = 'Unemployment - Europe',\n",
    "               plot_width=750, plot_height=300)\n",
    "fig.line(unemployment.index, unemployment['LMUNRLTTATM647N'], \n",
    "         color='#800080', line_width=2, legend='Austria')\n",
    "fig.line(unemployment.index, unemployment['LMUNRLTTDKM647N'],\n",
    "         color='#008B8B', line_width=2, legend='Denmark')\n",
    "fig.line(unemployment.index, unemployment['LMUNRLTTDEM647N'],\n",
    "         color='#FF0000', line_width=2, legend='Germany')\n",
    "fig.line(unemployment.index, unemployment['LMUNRLTTIEM647N'],\n",
    "         color='#2E8B57', line_width=2, legend='Ireland')\n",
    "fig.xaxis.major_label_text_font_size = \"12pt\"\n",
    "fig.yaxis.axis_label = \"Registered Unemployment Level\"\n",
    "fig.xaxis.axis_label = \"Year\"\n",
    "fig.legend.location = \"top_right\"\n",
    "fig.yaxis[0].formatter = NumeralTickFormatter(format='0,0')\n",
    "bk.show(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "cb5ca058-450c-4176-b37e-ebf33ffa55c2"
    }
   },
   "source": [
    "## 4 World Bank"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "6df1df3f-0867-426a-af07-b6cb585e8544"
    }
   },
   "source": [
    "The [World Bank’s World Development Indicators](http://data.worldbank.org/) is a huge database with thousands of panel data series. With Pandas it's possible to use the `search` function in `pandas.io.wb` to find your data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true,
    "nbpresent": {
     "id": "c30c4f21-f339-4b9c-91ee-9649f415011f"
    }
   },
   "outputs": [],
   "source": [
    "from pandas_datareader import wb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "fcd1fabf-1286-4a87-98d8-0bf860ce8380"
    }
   },
   "source": [
    "If you wanted to compare the Gross Domestic Products per capita in constant dollars in North America:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "nbpresent": {
     "id": "11606f48-ef51-47ef-83fc-33649fbe06ba"
    }
   },
   "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>id</th>\n",
       "      <th>name</th>\n",
       "      <th>source</th>\n",
       "      <th>sourceNote</th>\n",
       "      <th>sourceOrganization</th>\n",
       "      <th>topics</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>646</th>\n",
       "      <td>6.0.GDPpc_constant</td>\n",
       "      <td>GDP per capita, PPP (constant 2011 internation...</td>\n",
       "      <td>LAC Equity Lab</td>\n",
       "      <td>GDP per capita based on purchasing power parit...</td>\n",
       "      <td>b'World Development Indicators (World Bank)'</td>\n",
       "      <td>Economy &amp; Growth</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8129</th>\n",
       "      <td>NY.GDP.PCAP.KD</td>\n",
       "      <td>GDP per capita (constant 2010 US$)</td>\n",
       "      <td>World Development Indicators</td>\n",
       "      <td>GDP per capita is gross domestic product divid...</td>\n",
       "      <td>b'World Bank national accounts data, and OECD ...</td>\n",
       "      <td>Economy &amp; Growth</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8131</th>\n",
       "      <td>NY.GDP.PCAP.KN</td>\n",
       "      <td>GDP per capita (constant LCU)</td>\n",
       "      <td>World Development Indicators</td>\n",
       "      <td>GDP per capita is gross domestic product divid...</td>\n",
       "      <td>b'World Bank national accounts data, and OECD ...</td>\n",
       "      <td>Economy &amp; Growth</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8133</th>\n",
       "      <td>NY.GDP.PCAP.PP.KD</td>\n",
       "      <td>GDP per capita, PPP (constant 2011 internation...</td>\n",
       "      <td>World Development Indicators</td>\n",
       "      <td>GDP per capita based on purchasing power parit...</td>\n",
       "      <td>b'World Bank, International Comparison Program...</td>\n",
       "      <td>Economy &amp; Growth</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8134</th>\n",
       "      <td>NY.GDP.PCAP.PP.KD.87</td>\n",
       "      <td>GDP per capita, PPP (constant 1987 internation...</td>\n",
       "      <td>WDI Database Archives</td>\n",
       "      <td></td>\n",
       "      <td>b''</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        id                                               name  \\\n",
       "646     6.0.GDPpc_constant  GDP per capita, PPP (constant 2011 internation...   \n",
       "8129        NY.GDP.PCAP.KD                 GDP per capita (constant 2010 US$)   \n",
       "8131        NY.GDP.PCAP.KN                      GDP per capita (constant LCU)   \n",
       "8133     NY.GDP.PCAP.PP.KD  GDP per capita, PPP (constant 2011 internation...   \n",
       "8134  NY.GDP.PCAP.PP.KD.87  GDP per capita, PPP (constant 1987 internation...   \n",
       "\n",
       "                            source  \\\n",
       "646                 LAC Equity Lab   \n",
       "8129  World Development Indicators   \n",
       "8131  World Development Indicators   \n",
       "8133  World Development Indicators   \n",
       "8134         WDI Database Archives   \n",
       "\n",
       "                                             sourceNote  \\\n",
       "646   GDP per capita based on purchasing power parit...   \n",
       "8129  GDP per capita is gross domestic product divid...   \n",
       "8131  GDP per capita is gross domestic product divid...   \n",
       "8133  GDP per capita based on purchasing power parit...   \n",
       "8134                                                      \n",
       "\n",
       "                                     sourceOrganization            topics  \n",
       "646        b'World Development Indicators (World Bank)'  Economy & Growth  \n",
       "8129  b'World Bank national accounts data, and OECD ...  Economy & Growth  \n",
       "8131  b'World Bank national accounts data, and OECD ...  Economy & Growth  \n",
       "8133  b'World Bank, International Comparison Program...  Economy & Growth  \n",
       "8134                                                b''                    "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wb.search('gdp.*capita.*const')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true,
    "nbpresent": {
     "id": "ecc8416b-5b2f-4500-955b-40759421bd17"
    }
   },
   "outputs": [],
   "source": [
    "dat = wb.download(indicator='NY.GDP.PCAP.KD', country=['all'], start=2005, end=2012)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "nbpresent": {
     "id": "55dde246-e19f-4822-9276-01a8428e0616"
    }
   },
   "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></th>\n",
       "      <th>NY.GDP.PCAP.KD</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">Arab World</th>\n",
       "      <th>2012</th>\n",
       "      <td>6154.555744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>5986.753035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>5917.512227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>5783.469395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>5899.709921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>5711.663247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>5594.898519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>5378.379169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Caribbean small states</th>\n",
       "      <th>2012</th>\n",
       "      <td>8822.045233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>8766.849448</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             NY.GDP.PCAP.KD\n",
       "country                year                \n",
       "Arab World             2012     6154.555744\n",
       "                       2011     5986.753035\n",
       "                       2010     5917.512227\n",
       "                       2009     5783.469395\n",
       "                       2008     5899.709921\n",
       "                       2007     5711.663247\n",
       "                       2006     5594.898519\n",
       "                       2005     5378.379169\n",
       "Caribbean small states 2012     8822.045233\n",
       "                       2011     8766.849448"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dat.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "nbpresent": {
     "id": "9b9ff36a-06ac-4532-a062-856e4f81803d"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([144246.36877497, 141165.08285671, 105180.52456616,    310.23214478,\n",
       "          307.9347033 ,    228.65002423])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped = dat['NY.GDP.PCAP.KD'].groupby(level=0).mean()\n",
    "grouped.sort_values(axis=0, ascending=False, inplace=True)\n",
    "grouped = grouped.dropna()\n",
    "sample = 3\n",
    "rich_poor = grouped.iloc[:sample].append(grouped.iloc[-sample:])\n",
    "rich_poor.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "nbpresent": {
     "id": "a07356c8-e5e1-4404-ba3a-a833caf857f0"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div class=\"bk-root\">\n",
       "    <div class=\"bk-plotdiv\" id=\"6c4e2655-a44c-41e8-928d-6a89045875c4\"></div>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"15874f2a-b008-462e-9ccf-4ccba3a2b57b\":{\"roots\":{\"references\":[{\"attributes\":{},\"id\":\"a72cba79-30cd-40f6-a1db-b2a1a6238cba\",\"type\":\"PanTool\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"cd37ee7e-d1fb-44a5-85a7-06ebae3664aa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"efe3cbb5-0087-48dd-8c72-ba259e4f787a\",\"type\":\"LogTicker\"}},\"id\":\"6193e0b7-cdfa-4920-abb3-b22184048007\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"873f4b01-35c1-4d35-8a10-e82c8bf3c2a1\",\"type\":\"LogScale\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"d5d905a3-df76-497b-b4d8-f4b2593e277c\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"formatter\":{\"id\":\"ba26e9e3-c119-4651-9a8c-d80082df87ff\",\"type\":\"LogTickFormatter\"},\"minor_tick_out\":0,\"plot\":{\"id\":\"cd37ee7e-d1fb-44a5-85a7-06ebae3664aa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"efe3cbb5-0087-48dd-8c72-ba259e4f787a\",\"type\":\"LogTicker\"}},\"id\":\"3ecde31d-3821-4f90-babc-f848c17aa081\",\"type\":\"LogAxis\"},{\"attributes\":{\"num_minor_ticks\":10},\"id\":\"efe3cbb5-0087-48dd-8c72-ba259e4f787a\",\"type\":\"LogTicker\"},{\"attributes\":{},\"id\":\"b5388891-52bf-4e77-9626-0af5cfac419f\",\"type\":\"HelpTool\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"a72cba79-30cd-40f6-a1db-b2a1a6238cba\",\"type\":\"PanTool\"},{\"id\":\"131e4ab7-9f8f-4684-876b-e86aeab377e4\",\"type\":\"WheelZoomTool\"},{\"id\":\"b10f220c-6a03-4d5c-bd56-dc6dcff781fa\",\"type\":\"BoxZoomTool\"},{\"id\":\"8f3fd6ca-d71d-4f5c-9637-e9b4ee0c400a\",\"type\":\"SaveTool\"},{\"id\":\"1aaf6468-5ffe-461e-bd6f-1e4350a643d1\",\"type\":\"ResetTool\"},{\"id\":\"b5388891-52bf-4e77-9626-0af5cfac419f\",\"type\":\"HelpTool\"}]},\"id\":\"d3c78c8c-e2c8-49a3-a35f-bae5d05e3fe0\",\"type\":\"Toolbar\"},{\"attributes\":{\"below\":[{\"id\":\"bde53bf5-85c4-4dd7-b0f0-12ecc297b8e3\",\"type\":\"CategoricalAxis\"}],\"left\":[{\"id\":\"3ecde31d-3821-4f90-babc-f848c17aa081\",\"type\":\"LogAxis\"}],\"plot_height\":500,\"plot_width\":750,\"renderers\":[{\"id\":\"bde53bf5-85c4-4dd7-b0f0-12ecc297b8e3\",\"type\":\"CategoricalAxis\"},{\"id\":\"695a89fe-c783-4f77-98aa-3d9f029a17a8\",\"type\":\"Grid\"},{\"id\":\"3ecde31d-3821-4f90-babc-f848c17aa081\",\"type\":\"LogAxis\"},{\"id\":\"6193e0b7-cdfa-4920-abb3-b22184048007\",\"type\":\"Grid\"},{\"id\":\"d5d905a3-df76-497b-b4d8-f4b2593e277c\",\"type\":\"BoxAnnotation\"},{\"id\":\"16301b43-a739-47b1-853f-d5bacfb8d2b5\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"bcfef863-bcc7-4a33-8670-99d29a1c1f02\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"d3c78c8c-e2c8-49a3-a35f-bae5d05e3fe0\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"5b530a7d-a0e2-48a9-9e54-94a1e0042d60\",\"type\":\"FactorRange\"},\"x_scale\":{\"id\":\"d3c1205c-5a9b-4d0a-8526-9a4e2b087e57\",\"type\":\"CategoricalScale\"},\"y_range\":{\"id\":\"50f92f3f-c1a1-4f0b-b000-c587574c3b85\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"873f4b01-35c1-4d35-8a10-e82c8bf3c2a1\",\"type\":\"LogScale\"}},\"id\":\"cd37ee7e-d1fb-44a5-85a7-06ebae3664aa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"131e4ab7-9f8f-4684-876b-e86aeab377e4\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"data_source\":{\"id\":\"869b4291-0d43-4037-8fc7-dd9e620a3afc\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"5e875d6b-3a33-43f3-b676-f8878c439d22\",\"type\":\"Segment\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"2e767c6c-a37c-4a1f-9332-53b30353991e\",\"type\":\"Segment\"},\"selection_glyph\":null,\"view\":{\"id\":\"09c31b65-625b-410c-8ed6-9a5f0586cb1e\",\"type\":\"CDSView\"}},\"id\":\"16301b43-a739-47b1-853f-d5bacfb8d2b5\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"d3c1205c-5a9b-4d0a-8526-9a4e2b087e57\",\"type\":\"CategoricalScale\"},{\"attributes\":{\"formatter\":{\"id\":\"6bc54760-e90a-4207-8457-7ccc32db56c0\",\"type\":\"CategoricalTickFormatter\"},\"major_tick_out\":0,\"plot\":{\"id\":\"cd37ee7e-d1fb-44a5-85a7-06ebae3664aa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9e1c7dbc-f675-4986-9f83-5cf4fc46e753\",\"type\":\"CategoricalTicker\"}},\"id\":\"bde53bf5-85c4-4dd7-b0f0-12ecc297b8e3\",\"type\":\"CategoricalAxis\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x0\",\"x1\",\"y1\"],\"data\":{\"x0\":[\"Monaco\",\"Liechtenstein\",\"Luxembourg\",\"Congo, Dem. Rep.\",\"Ethiopia\",\"Burundi\"],\"x1\":[\"Monaco\",\"Liechtenstein\",\"Luxembourg\",\"Congo, Dem. Rep.\",\"Ethiopia\",\"Burundi\"],\"y1\":{\"__ndarray__\":\"FEpA87KbAUGyxrCpaDsBQX57n2TIrflAJFRx3bZjc0DMMnKL9D5zQIyQn//MlGxA\",\"dtype\":\"float64\",\"shape\":[6]}}},\"id\":\"869b4291-0d43-4037-8fc7-dd9e620a3afc\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_color\":{\"value\":\"#4C72B0\"},\"line_width\":{\"value\":35},\"x0\":{\"field\":\"x0\"},\"x1\":{\"field\":\"x1\"},\"y0\":{\"value\":0.01},\"y1\":{\"field\":\"y1\"}},\"id\":\"5e875d6b-3a33-43f3-b676-f8878c439d22\",\"type\":\"Segment\"},{\"attributes\":{\"overlay\":{\"id\":\"d5d905a3-df76-497b-b4d8-f4b2593e277c\",\"type\":\"BoxAnnotation\"}},\"id\":\"b10f220c-6a03-4d5c-bd56-dc6dcff781fa\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"plot\":null,\"text\":\"Gross Domestic Products per capita - Rich vs Poor\"},\"id\":\"bcfef863-bcc7-4a33-8670-99d29a1c1f02\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"8f3fd6ca-d71d-4f5c-9637-e9b4ee0c400a\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"9e1c7dbc-f675-4986-9f83-5cf4fc46e753\",\"type\":\"CategoricalTicker\"},{\"attributes\":{\"callback\":null,\"end\":1000000,\"start\":0.01},\"id\":\"50f92f3f-c1a1-4f0b-b000-c587574c3b85\",\"type\":\"Range1d\"},{\"attributes\":{\"source\":{\"id\":\"869b4291-0d43-4037-8fc7-dd9e620a3afc\",\"type\":\"ColumnDataSource\"}},\"id\":\"09c31b65-625b-410c-8ed6-9a5f0586cb1e\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"6bc54760-e90a-4207-8457-7ccc32db56c0\",\"type\":\"CategoricalTickFormatter\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"line_width\":{\"value\":35},\"x0\":{\"field\":\"x0\"},\"x1\":{\"field\":\"x1\"},\"y0\":{\"value\":0.01},\"y1\":{\"field\":\"y1\"}},\"id\":\"2e767c6c-a37c-4a1f-9332-53b30353991e\",\"type\":\"Segment\"},{\"attributes\":{},\"id\":\"1aaf6468-5ffe-461e-bd6f-1e4350a643d1\",\"type\":\"ResetTool\"},{\"attributes\":{\"ticker\":null},\"id\":\"ba26e9e3-c119-4651-9a8c-d80082df87ff\",\"type\":\"LogTickFormatter\"},{\"attributes\":{\"plot\":{\"id\":\"cd37ee7e-d1fb-44a5-85a7-06ebae3664aa\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9e1c7dbc-f675-4986-9f83-5cf4fc46e753\",\"type\":\"CategoricalTicker\"}},\"id\":\"695a89fe-c783-4f77-98aa-3d9f029a17a8\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"factors\":[\"Monaco\",\"Liechtenstein\",\"Luxembourg\",\"Congo, Dem. Rep.\",\"Ethiopia\",\"Burundi\"]},\"id\":\"5b530a7d-a0e2-48a9-9e54-94a1e0042d60\",\"type\":\"FactorRange\"}],\"root_ids\":[\"cd37ee7e-d1fb-44a5-85a7-06ebae3664aa\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.13\"}};\n",
       "  var render_items = [{\"docid\":\"15874f2a-b008-462e-9ccf-4ccba3a2b57b\",\"elementid\":\"6c4e2655-a44c-41e8-928d-6a89045875c4\",\"modelid\":\"cd37ee7e-d1fb-44a5-85a7-06ebae3664aa\"}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "cd37ee7e-d1fb-44a5-85a7-06ebae3664aa"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = list(rich_poor.index)\n",
    "fig = bk.figure(plot_width=750, plot_height=500, \n",
    "                title='Gross Domestic Products per capita - Rich vs Poor',\n",
    "                x_range=index, y_axis_type='log', y_range=(0.01, 10**6))\n",
    "fig.yaxis.minor_tick_out = 0\n",
    "fig.xaxis.major_tick_out = 0\n",
    "fig.segment(index, 0.01, index, rich_poor.values, line_width=35, color='#4C72B0')\n",
    "bk.show(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "39026a01-0beb-4a17-b89e-3ca0b68d49c4"
    }
   },
   "source": [
    "---\n",
    "\n",
    "Visit [www.add-for.com](<http://www.add-for.com/IT>) for more tutorials and updates.\n",
    "\n",
    "This work is licensed under a <a rel=\"license\" href=\"http://creativecommons.org/licenses/by-sa/4.0/\">Creative Commons Attribution-ShareAlike 4.0 International License</a>."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:addfor_tutorials]",
   "language": "python",
   "name": "conda-env-addfor_tutorials-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  },
  "nbpresent": {
   "slides": {},
   "themes": {
    "default": "6345ae48-f4d4-49c2-af80-7abfba3e142c",
    "theme": {}
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}