{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Activity 6 - Visualisation\n", "\n", "Here we show a variety of different Python visualisation methods." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import numpy as np" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Scatter Plot" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "tips = sns.load_dataset(\"tips\")\n", "sns.relplot(x=\"total_bill\", y=\"tip\", data=tips);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Line Plot" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "plt.figure(figsize=(20,5))\n", "plt.plot(tips['tip'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Bar Chart" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "tips[['total_bill','tip', 'sex']].groupby('sex').sum().plot.bar()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 3D Visualisation" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\n", "\n", "mpl.get_websocket_type = function() {\n", " if (typeof(WebSocket) !== 'undefined') {\n", " return WebSocket;\n", " } else if (typeof(MozWebSocket) !== 'undefined') {\n", " return MozWebSocket;\n", " } else {\n", " alert('Your browser does not have WebSocket support. ' +\n", " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", " 'Firefox 4 and 5 are also supported but you ' +\n", " 'have to enable WebSockets in about:config.');\n", " };\n", "}\n", "\n", "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", " this.id = figure_id;\n", "\n", " this.ws = websocket;\n", "\n", " this.supports_binary = (this.ws.binaryType != undefined);\n", "\n", " if (!this.supports_binary) {\n", " var warnings = document.getElementById(\"mpl-warnings\");\n", " if (warnings) {\n", " warnings.style.display = 'block';\n", " warnings.textContent = (\n", " \"This browser does not support binary websocket messages. \" +\n", " \"Performance may be slow.\");\n", " }\n", " }\n", "\n", " this.imageObj = new Image();\n", "\n", " this.context = undefined;\n", " this.message = undefined;\n", " this.canvas = undefined;\n", " this.rubberband_canvas = undefined;\n", " this.rubberband_context = undefined;\n", " this.format_dropdown = undefined;\n", "\n", " this.image_mode = 'full';\n", "\n", " this.root = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(this.root);\n", "\n", " this._init_header(this);\n", " this._init_canvas(this);\n", " this._init_toolbar(this);\n", "\n", " var fig = this;\n", "\n", " this.waiting = false;\n", "\n", " this.ws.onopen = function () {\n", " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", " fig.send_message(\"send_image_mode\", {});\n", " if (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", " }\n", " fig.send_message(\"refresh\", {});\n", " }\n", "\n", " this.imageObj.onload = function() {\n", " if (fig.image_mode == 'full') {\n", " // Full images could contain transparency (where diff images\n", " // almost always do), so we need to clear the canvas so that\n", " // there is no ghosting.\n", " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", " }\n", " fig.context.drawImage(fig.imageObj, 0, 0);\n", " };\n", "\n", " this.imageObj.onunload = function() {\n", " fig.ws.close();\n", " }\n", "\n", " this.ws.onmessage = this._make_on_message_function(this);\n", "\n", " this.ondownload = ondownload;\n", "}\n", "\n", "mpl.figure.prototype._init_header = function() {\n", " var titlebar = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", " return false;\n", " });\n", "\n", " function set_focus () {\n", " canvas.focus();\n", " canvas_div.focus();\n", " }\n", "\n", " window.setTimeout(set_focus, 100);\n", "}\n", "\n", "mpl.figure.prototype._init_toolbar = function() {\n", " var fig = this;\n", "\n", " var nav_element = $('
');\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\n", " for(var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('tabindex', 0)\n", " // reach out to IPython and tell the keyboard manager to turn it's self\n", " // off when our div gets focus\n", "\n", " // location in version 3\n", " if (IPython.notebook.keyboard_manager) {\n", " IPython.notebook.keyboard_manager.register_events(el);\n", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " // select the cell after this one\n", " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", " IPython.notebook.select(index + 1);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\n", "\n", "\n", "mpl.find_output_cell = function(html_output) {\n", " // Return the cell and output element which can be found *uniquely* in the notebook.\n", " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", " // IPython event is triggered only after the cells have been serialised, which for\n", " // our purposes (turning an active figure into a static one), is too late.\n", " var cells = IPython.notebook.get_cells();\n", " var ncells = cells.length;\n", " for (var i=0; i= 3 moved mimebundle to data attribute of output\n", " data = data.data;\n", " }\n", " if (data['text/html'] == html_output) {\n", " return [cell, data, j];\n", " }\n", " }\n", " }\n", " }\n", "}\n", "\n", "// Register the function which deals with the matplotlib target/channel.\n", "// The kernel may be null if the page has been refreshed.\n", "if (IPython.notebook.kernel != null) {\n", " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "## 3D Line Plot\n", "\n", "'''\n", "==============\n", "3D lineplot\n", "==============\n", "Demonstration of a basic lineplot in 3D.\n", "'''\n", "\n", "# Import libraries\n", "import matplotlib as mpl\n", "from mpl_toolkits.mplot3d import Axes3D\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "# Set the legend font size to 10\n", "mpl.rcParams['legend.fontsize'] = 10\n", "\n", "# Create figure object\n", "fig = plt.figure()\n", "\n", "# Get the current axes, creating one if necessary.\n", "ax = fig.gca(projection='3d')\n", "\n", "# Create data point to plot\n", "theta = np.linspace(-4 * np.pi, 4 * np.pi, 100)\n", "z = np.linspace(-2, 2, 100)\n", "r = z**2 + 1\n", "x = r * np.sin(theta)\n", "y = r * np.cos(theta)\n", "\n", "# Plot line graph \n", "ax.plot(x, y, z, label='Parametric curve')\n", "\n", "# Set default legend\n", "ax.legend()\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "window.mpl = {};\n", "\n", "\n", "mpl.get_websocket_type = function() {\n", " if (typeof(WebSocket) !== 'undefined') {\n", " return WebSocket;\n", " } else if (typeof(MozWebSocket) !== 'undefined') {\n", " return MozWebSocket;\n", " } else {\n", " alert('Your browser does not have WebSocket support. ' +\n", " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", " 'Firefox 4 and 5 are also supported but you ' +\n", " 'have to enable WebSockets in about:config.');\n", " };\n", "}\n", "\n", "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", " this.id = figure_id;\n", "\n", " this.ws = websocket;\n", "\n", " this.supports_binary = (this.ws.binaryType != undefined);\n", "\n", " if (!this.supports_binary) {\n", " var warnings = document.getElementById(\"mpl-warnings\");\n", " if (warnings) {\n", " warnings.style.display = 'block';\n", " warnings.textContent = (\n", " \"This browser does not support binary websocket messages. \" +\n", " \"Performance may be slow.\");\n", " }\n", " }\n", "\n", " this.imageObj = new Image();\n", "\n", " this.context = undefined;\n", " this.message = undefined;\n", " this.canvas = undefined;\n", " this.rubberband_canvas = undefined;\n", " this.rubberband_context = undefined;\n", " this.format_dropdown = undefined;\n", "\n", " this.image_mode = 'full';\n", "\n", " this.root = $('
');\n", " this._root_extra_style(this.root)\n", " this.root.attr('style', 'display: inline-block');\n", "\n", " $(parent_element).append(this.root);\n", "\n", " this._init_header(this);\n", " this._init_canvas(this);\n", " this._init_toolbar(this);\n", "\n", " var fig = this;\n", "\n", " this.waiting = false;\n", "\n", " this.ws.onopen = function () {\n", " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", " fig.send_message(\"send_image_mode\", {});\n", " if (mpl.ratio != 1) {\n", " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", " }\n", " fig.send_message(\"refresh\", {});\n", " }\n", "\n", " this.imageObj.onload = function() {\n", " if (fig.image_mode == 'full') {\n", " // Full images could contain transparency (where diff images\n", " // almost always do), so we need to clear the canvas so that\n", " // there is no ghosting.\n", " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", " }\n", " fig.context.drawImage(fig.imageObj, 0, 0);\n", " };\n", "\n", " this.imageObj.onunload = function() {\n", " fig.ws.close();\n", " }\n", "\n", " this.ws.onmessage = this._make_on_message_function(this);\n", "\n", " this.ondownload = ondownload;\n", "}\n", "\n", "mpl.figure.prototype._init_header = function() {\n", " var titlebar = $(\n", " '
');\n", " var titletext = $(\n", " '
');\n", " titlebar.append(titletext)\n", " this.root.append(titlebar);\n", " this.header = titletext[0];\n", "}\n", "\n", "\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "\n", "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", "\n", "}\n", "\n", "mpl.figure.prototype._init_canvas = function() {\n", " var fig = this;\n", "\n", " var canvas_div = $('
');\n", "\n", " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", "\n", " function canvas_keyboard_event(event) {\n", " return fig.key_event(event, event['data']);\n", " }\n", "\n", " canvas_div.keydown('key_press', canvas_keyboard_event);\n", " canvas_div.keyup('key_release', canvas_keyboard_event);\n", " this.canvas_div = canvas_div\n", " this._canvas_extra_style(canvas_div)\n", " this.root.append(canvas_div);\n", "\n", " var canvas = $('');\n", " canvas.addClass('mpl-canvas');\n", " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", "\n", " this.canvas = canvas[0];\n", " this.context = canvas[0].getContext(\"2d\");\n", "\n", " var backingStore = this.context.backingStorePixelRatio ||\n", "\tthis.context.webkitBackingStorePixelRatio ||\n", "\tthis.context.mozBackingStorePixelRatio ||\n", "\tthis.context.msBackingStorePixelRatio ||\n", "\tthis.context.oBackingStorePixelRatio ||\n", "\tthis.context.backingStorePixelRatio || 1;\n", "\n", " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband = $('');\n", " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", "\n", " var pass_mouse_events = true;\n", "\n", " canvas_div.resizable({\n", " start: function(event, ui) {\n", " pass_mouse_events = false;\n", " },\n", " resize: function(event, ui) {\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " stop: function(event, ui) {\n", " pass_mouse_events = true;\n", " fig.request_resize(ui.size.width, ui.size.height);\n", " },\n", " });\n", "\n", " function mouse_event_fn(event) {\n", " if (pass_mouse_events)\n", " return fig.mouse_event(event, event['data']);\n", " }\n", "\n", " rubberband.mousedown('button_press', mouse_event_fn);\n", " rubberband.mouseup('button_release', mouse_event_fn);\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband.mousemove('motion_notify', mouse_event_fn);\n", "\n", " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", "\n", " canvas_div.on(\"wheel\", function (event) {\n", " event = event.originalEvent;\n", " event['data'] = 'scroll'\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " mouse_event_fn(event);\n", " });\n", "\n", " canvas_div.append(canvas);\n", " canvas_div.append(rubberband);\n", "\n", " this.rubberband = rubberband;\n", " this.rubberband_canvas = rubberband[0];\n", " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", " this.rubberband_context.strokeStyle = \"#000000\";\n", "\n", " this._resize_canvas = function(width, height) {\n", " // Keep the size of the canvas, canvas container, and rubber band\n", " // canvas in synch.\n", " canvas_div.css('width', width)\n", " canvas_div.css('height', height)\n", "\n", " canvas.attr('width', width * mpl.ratio);\n", " canvas.attr('height', height * mpl.ratio);\n", " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", "\n", " rubberband.attr('width', width);\n", " rubberband.attr('height', height);\n", " }\n", "\n", " // Set the figure to an initial 600x600px, this will subsequently be updated\n", " // upon first draw.\n", " this._resize_canvas(600, 600);\n", "\n", " // Disable right mouse context menu.\n", " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", " return false;\n", " });\n", "\n", " function set_focus () {\n", " canvas.focus();\n", " canvas_div.focus();\n", " }\n", "\n", " window.setTimeout(set_focus, 100);\n", "}\n", "\n", "mpl.figure.prototype._init_toolbar = function() {\n", " var fig = this;\n", "\n", " var nav_element = $('
');\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", " // Define a callback function for later on.\n", " function toolbar_event(event) {\n", " return fig.toolbar_button_onclick(event['data']);\n", " }\n", " function toolbar_mouse_event(event) {\n", " return fig.toolbar_button_onmouseover(event['data']);\n", " }\n", "\n", " for(var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " // put a spacer in here.\n", " continue;\n", " }\n", " var button = $('');\n", " button.click(method_name, toolbar_event);\n", " button.mouseover(tooltip, toolbar_mouse_event);\n", " nav_element.append(button);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = $('');\n", " nav_element.append(status_bar);\n", " this.message = status_bar[0];\n", "\n", " // Add the close button to the window.\n", " var buttongrp = $('
');\n", " var button = $('');\n", " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", " buttongrp.append(button);\n", " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", " titlebar.prepend(buttongrp);\n", "}\n", "\n", "mpl.figure.prototype._root_extra_style = function(el){\n", " var fig = this\n", " el.on(\"remove\", function(){\n", "\tfig.close_ws(fig, {});\n", " });\n", "}\n", "\n", "mpl.figure.prototype._canvas_extra_style = function(el){\n", " // this is important to make the div 'focusable\n", " el.attr('tabindex', 0)\n", " // reach out to IPython and tell the keyboard manager to turn it's self\n", " // off when our div gets focus\n", "\n", " // location in version 3\n", " if (IPython.notebook.keyboard_manager) {\n", " IPython.notebook.keyboard_manager.register_events(el);\n", " }\n", " else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "\n", "}\n", "\n", "mpl.figure.prototype._key_event_extra = function(event, name) {\n", " var manager = IPython.notebook.keyboard_manager;\n", " if (!manager)\n", " manager = IPython.keyboard_manager;\n", "\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which == 13) {\n", " this.canvas_div.blur();\n", " // select the cell after this one\n", " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", " IPython.notebook.select(index + 1);\n", " }\n", "}\n", "\n", "mpl.figure.prototype.handle_save = function(fig, msg) {\n", " fig.ondownload(fig, null);\n", "}\n", "\n", "\n", "mpl.find_output_cell = function(html_output) {\n", " // Return the cell and output element which can be found *uniquely* in the notebook.\n", " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", " // IPython event is triggered only after the cells have been serialised, which for\n", " // our purposes (turning an active figure into a static one), is too late.\n", " var cells = IPython.notebook.get_cells();\n", " var ncells = cells.length;\n", " for (var i=0; i= 3 moved mimebundle to data attribute of output\n", " data = data.data;\n", " }\n", " if (data['text/html'] == html_output) {\n", " return [cell, data, j];\n", " }\n", " }\n", " }\n", " }\n", "}\n", "\n", "// Register the function which deals with the matplotlib target/channel.\n", "// The kernel may be null if the page has been refreshed.\n", "if (IPython.notebook.kernel != null) {\n", " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "## 3D Surface Plot\n", "\n", "'''\n", "====================\n", "3D plots as subplots\n", "====================\n", "Demonstrate including 3D plots as subplots.\n", "'''\n", "\n", "import matplotlib.pyplot as plt\n", "from mpl_toolkits.mplot3d.axes3d import Axes3D, get_test_data\n", "from matplotlib import cm\n", "import numpy as np\n", "\n", "\n", "# set up a figure twice as wide as it is tall\n", "fig = plt.figure(figsize=plt.figaspect(0.5))\n", "\n", "#===============\n", "# First subplot\n", "#===============\n", "# set up the axes for the first plot\n", "ax = fig.add_subplot(1, 2, 1, projection='3d')\n", "\n", "# plot a 3D surface like in the example mplot3d/surface3d_demo\n", "# Get equally spaced numbers with interval of 0.25 from -5 to 5\n", "X = np.arange(-5, 5, 0.25)\n", "Y = np.arange(-5, 5, 0.25)\n", "# Convert it into meshgrid for plotting purpose using x and y\n", "X, Y = np.meshgrid(X, Y)\n", "R = np.sqrt(X**2 + Y**2)\n", "Z = np.sin(R)\n", "surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.coolwarm,\n", " linewidth=0, antialiased=False)\n", "ax.set_zlim(-1.01, 1.01)\n", "fig.colorbar(surf, shrink=0.5, aspect=10)\n", "\n", "#===============\n", "# Second subplot\n", "#===============\n", "# set up the axes for the second plot\n", "ax = fig.add_subplot(1, 2, 2, projection='3d')\n", "\n", "# plot a 3D wireframe like in the example mplot3d/wire3d_demo\n", "# Return a tuple X, Y, Z with a test data set\n", "X, Y, Z = get_test_data(0.05)\n", "ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Node-Link Diagram\n", "\n", "Here we show a Node Link diagram that uses the NetworkX Python library (Note this is not interactive, and so not force-directed).\n", "\n", "A Javascript-based Force Directed layout is available to try at: https://observablehq.com/@d3/force-directed-graph" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# !pip install networkx\n", "\n", "%matplotlib inline\n", "\n", "# libraries\n", "import pandas as pd\n", "import numpy as np\n", "import networkx as nx\n", "import matplotlib.pyplot as plt\n", " \n", "# Build a dataframe with your connections\n", "df = pd.DataFrame({ 'from':['A', 'B', 'C','A'], 'to':['D', 'A', 'E','C']})\n", "df\n", " \n", "# Build your graph\n", "G=nx.from_pandas_edgelist(df, 'from', 'to')\n", " \n", "# Graph with Custom nodes:\n", "nx.draw(G, with_labels=True, node_size=1500, node_color=\"skyblue\", node_shape=\"s\", alpha=0.5, linewidths=40)\n", "plt.show()\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Parallel Coordinates\n", "\n", "Here we show a simple parallel coordinates using Pandas. As above, this is not interactive and so does not support brushing or reordering.\n", "\n", "A Javascript D3 parallel coordinates is available here: https://bl.ocks.org/jasondavies/1341281" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "df = pd.read_csv('https://raw.github.com/pandas-dev/pandas/master/pandas/tests/io/data/csv/iris.csv')\n", "pd.plotting.parallel_coordinates(df, 'Name', color=('#556270', '#4ECDC4', '#C7F464'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Treemaps (using Plotly - yet another Python Visualisation library!)\n", "\n", "Here are two examples for creating treemaps and sunburst visualisations. These are not available in Seaborn, Matplotlib or Pandas as default, however we can use Plotly - another open source visualisation library. Plotly is open-source and supports a bunch of extra features - including the development of full HTML Dashboards in Python without the need for Javascript. Here we generate our plots to a new HTML file (primarily because JupyterLab notebook support is variable - check the docs for details)." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "type": "bar", "y": [ 2, 3, 1 ] } ], "layout": { "autosize": true, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly.graph_objects as go\n", "\n", "fig =go.Figure(go.Sunburst(\n", " labels= [\"MyWork.txt\", \"Holiday.jpg\", \"Documents\", \"FavouriteSong.mp3\", \"Desktop\"],\n", " parents= [\"Documents\", \"Documents\", \"\", \"Desktop\", \"\"], \n", " values= [3, 2, 5, 2, 2],\n", "))\n", "\n", "#fig.write_html('first_figure.html', auto_open=True)\n", "fig.show() #- works in Notebook but not in Lab" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "More on Pandas Visualisation available in the documentation\n", "\n", "https://pandas.pydata.org/pandas-docs/stable/user_guide/visualization.html" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.13" } }, "nbformat": 4, "nbformat_minor": 4 }