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A start to our civic data and its anonymous
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# A presentation about Atlanta Salaries\n", | |
| "\n", | |
| "Use data from <a href=\"https://data.world\"><del>data.world</del><img style=\"display:inline;\" src=\"https://assets.data.world/assets/fast-sparkle.6e81e27a078af091e3485f3a590fb693.png\" width=\"100\"></img></a>. The dataset provides information about\n", | |
| "\n", | |
| "> [ATL city employee salaries 2015, obtained from FOIA via muckrock.com](https://data.world/brentbrewington/atlanta-city-employee-salaries).\n", | |
| "\n", | |
| "> > This document focuses on weaving [markdown](https://daringfireball.net/projects/markdown/syntax) and code to tell a story with data." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "* Start by loading the data, it was saved to disc from the parent url." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 34, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "\n", | |
| "%matplotlib inline\n", | |
| "from pandas import *\n", | |
| "df = read_csv('../../../Downloads/atl_salary_data_2015.csv')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 46, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Automatic calling is: Smart\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%autocall 1" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# About the data" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 47, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "<class 'pandas.core.frame.DataFrame'>\n", | |
| "RangeIndex: 8246 entries, 0 to 8245\n", | |
| "Data columns (total 7 columns):\n", | |
| "name 8246 non-null object\n", | |
| "age 8246 non-null int64\n", | |
| "sex 8246 non-null object\n", | |
| "ethnic.origin 8246 non-null object\n", | |
| "job.title 8246 non-null object\n", | |
| "organization 8246 non-null object\n", | |
| "annual.salary 8246 non-null float64\n", | |
| "dtypes: float64(1), int64(1), object(5)\n", | |
| "memory usage: 451.0+ KB\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "df.info()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "* describe the numeric values." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 91, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>count</th>\n", | |
| " <th>mean</th>\n", | |
| " <th>std</th>\n", | |
| " <th>min</th>\n", | |
| " <th>50%</th>\n", | |
| " <th>max</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>age</th>\n", | |
| " <td>8246.0</td>\n", | |
| " <td>43.186636</td>\n", | |
| " <td>11.236170</td>\n", | |
| " <td>19.0</td>\n", | |
| " <td>44.00</td>\n", | |
| " <td>89.0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>annual.salary</th>\n", | |
| " <td>8246.0</td>\n", | |
| " <td>49040.302659</td>\n", | |
| " <td>20042.032049</td>\n", | |
| " <td>20800.0</td>\n", | |
| " <td>43983.43</td>\n", | |
| " <td>240697.6</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " count mean std min 50% max\n", | |
| "age 8246.0 43.186636 11.236170 19.0 44.00 89.0\n", | |
| "annual.salary 8246.0 49040.302659 20042.032049 20800.0 43983.43 240697.6" | |
| ] | |
| }, | |
| "execution_count": 91, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "d = df.describe(percentiles=list()).T\n", | |
| "d" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 53, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "------> df.sample(2)\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>name</th>\n", | |
| " <th>age</th>\n", | |
| " <th>sex</th>\n", | |
| " <th>ethnic.origin</th>\n", | |
| " <th>job.title</th>\n", | |
| " <th>organization</th>\n", | |
| " <th>annual.salary</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>8010</th>\n", | |
| " <td>Wilmont, Ariean M</td>\n", | |
| " <td>31</td>\n", | |
| " <td>Male</td>\n", | |
| " <td>Black or African American (Not Hispanic or Lat...</td>\n", | |
| " <td>Fire Sergeant (E)</td>\n", | |
| " <td>AFR Atlanta Fire & Recuse</td>\n", | |
| " <td>38641.27</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7640</th>\n", | |
| " <td>Washington, Patricia M</td>\n", | |
| " <td>48</td>\n", | |
| " <td>Female</td>\n", | |
| " <td>Black or African American (Not Hispanic or Lat...</td>\n", | |
| " <td>Administrative Assistant, Sr</td>\n", | |
| " <td>DOP Department of Procurement</td>\n", | |
| " <td>47009.19</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " name age sex \\\n", | |
| "8010 Wilmont, Ariean M 31 Male \n", | |
| "7640 Washington, Patricia M 48 Female \n", | |
| "\n", | |
| " ethnic.origin \\\n", | |
| "8010 Black or African American (Not Hispanic or Lat... \n", | |
| "7640 Black or African American (Not Hispanic or Lat... \n", | |
| "\n", | |
| " job.title organization \\\n", | |
| "8010 Fire Sergeant (E) AFR Atlanta Fire & Recuse \n", | |
| "7640 Administrative Assistant, Sr DOP Department of Procurement \n", | |
| "\n", | |
| " annual.salary \n", | |
| "8010 38641.27 \n", | |
| "7640 47009.19 " | |
| ] | |
| }, | |
| "execution_count": 53, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df.sample 2" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 57, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "for _ in {'organization', 'ethnic.origin', 'sex'}: df[_] = df[_].pipe(Categorical)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 61, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "Index(['AFR Atlanta Fire & Recuse', 'APD Atlanta Police Department',\n", | |
| " 'AUD Audit Administration', 'CCN City Council',\n", | |
| " 'COR Department of Corrections', 'CRB Administration',\n", | |
| " 'DHR Department of Human Reources',\n", | |
| " 'DIT Department of Information Technology',\n", | |
| " 'DOA Department of Aviation', 'DOF Department of Finance',\n", | |
| " 'DOP Department of Procurement', 'DPW Department of Public Works',\n", | |
| " 'DWM Department of Watershed Management', 'ETH Ethics Administration',\n", | |
| " 'EXE Executive Offices', 'JDA Municipal Court Operations',\n", | |
| " 'LAW Law Department', 'PCD Atlanta Workforce Development Agency',\n", | |
| " 'PCD Planning & Community Development',\n", | |
| " 'PDA Public Defender Administration',\n", | |
| " 'PRC Parks, Recreation, & Cultural Affairs', 'SOL Solicitor Office'],\n", | |
| " dtype='object')" | |
| ] | |
| }, | |
| "execution_count": 61, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df.organization.cat.categories" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 73, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "APD Atlanta Police Department 2349\n", | |
| "DWM Department of Watershed Management 1325\n", | |
| "AFR Atlanta Fire & Recuse 1063\n", | |
| "DPW Department of Public Works 799\n", | |
| "DOA Department of Aviation 544\n", | |
| "PRC Parks, Recreation, & Cultural Affairs 447\n", | |
| "COR Department of Corrections 320\n", | |
| "EXE Executive Offices 295\n", | |
| "PCD Planning & Community Development 153\n", | |
| "JDA Municipal Court Operations 147\n", | |
| "DOF Department of Finance 145\n", | |
| "DHR Department of Human Reources 133\n", | |
| "DIT Department of Information Technology 124\n", | |
| "CCN City Council 99\n", | |
| "LAW Law Department 82\n", | |
| "SOL Solicitor Office 74\n", | |
| "PCD Atlanta Workforce Development Agency 50\n", | |
| "DOP Department of Procurement 40\n", | |
| "PDA Public Defender Administration 34\n", | |
| "AUD Audit Administration 13\n", | |
| "CRB Administration 6\n", | |
| "ETH Ethics Administration 4\n", | |
| "Name: organization, dtype: int64" | |
| ] | |
| }, | |
| "execution_count": 73, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df.organization.value_counts()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 76, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "from sklearn import *" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "* Sexes explored." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 82, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "Male 0.66226\n", | |
| "Female 0.33774\n", | |
| "Name: sex, dtype: float64" | |
| ] | |
| }, | |
| "execution_count": 82, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df.sex.value_counts().pipe(\n", | |
| " lambda df: df/df.sum()\n", | |
| ")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "len df.columns" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "###### A distrubition of races in the dataset." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 28, | |
| "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", | |
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| " 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", | |
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| " this.imageObj = new Image();\n", | |
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| " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", | |
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| " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", | |
| "\n", | |
| " rubberband.attr('width', width);\n", | |
| " rubberband.attr('height', height);\n", | |
| " }\n", | |
| "\n", | |
| " // Set the figure to an initial 600x600px, this will subsequently be updated\n", | |
| " // upon first draw.\n", | |
| " this._resize_canvas(600, 600);\n", | |
| "\n", | |
| " // Disable right mouse context menu.\n", | |
| " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", | |
| " return false;\n", | |
| " });\n", | |
| "\n", | |
| " function set_focus () {\n", | |
| " canvas.focus();\n", | |
| " canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " window.setTimeout(set_focus, 100);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var nav_element = $('<div/>')\n", | |
| " nav_element.attr('style', 'width: 100%');\n", | |
| " this.root.append(nav_element);\n", | |
| "\n", | |
| " // Define a callback function for later on.\n", | |
| " function toolbar_event(event) {\n", | |
| " return fig.toolbar_button_onclick(event['data']);\n", | |
| " }\n", | |
| " function toolbar_mouse_event(event) {\n", | |
| " return fig.toolbar_button_onmouseover(event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " for(var toolbar_ind in mpl.toolbar_items) {\n", | |
| " var name = mpl.toolbar_items[toolbar_ind][0];\n", | |
| " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", | |
| " var image = mpl.toolbar_items[toolbar_ind][2];\n", | |
| " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", | |
| "\n", | |
| " if (!name) {\n", | |
| " // put a spacer in here.\n", | |
| " continue;\n", | |
| " }\n", | |
| " var button = $('<button/>');\n", | |
| " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", | |
| " 'ui-button-icon-only');\n", | |
| " button.attr('role', 'button');\n", | |
| " button.attr('aria-disabled', 'false');\n", | |
| " button.click(method_name, toolbar_event);\n", | |
| " button.mouseover(tooltip, toolbar_mouse_event);\n", | |
| "\n", | |
| " var icon_img = $('<span/>');\n", | |
| " icon_img.addClass('ui-button-icon-primary ui-icon');\n", | |
| " icon_img.addClass(image);\n", | |
| " icon_img.addClass('ui-corner-all');\n", | |
| "\n", | |
| " var tooltip_span = $('<span/>');\n", | |
| " tooltip_span.addClass('ui-button-text');\n", | |
| " tooltip_span.html(tooltip);\n", | |
| "\n", | |
| " button.append(icon_img);\n", | |
| " button.append(tooltip_span);\n", | |
| "\n", | |
| " nav_element.append(button);\n", | |
| " }\n", | |
| "\n", | |
| " var fmt_picker_span = $('<span/>');\n", | |
| "\n", | |
| " var fmt_picker = $('<select/>');\n", | |
| " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", | |
| " fmt_picker_span.append(fmt_picker);\n", | |
| " nav_element.append(fmt_picker_span);\n", | |
| " this.format_dropdown = fmt_picker[0];\n", | |
| "\n", | |
| " for (var ind in mpl.extensions) {\n", | |
| " var fmt = mpl.extensions[ind];\n", | |
| " var option = $(\n", | |
| " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", | |
| " fmt_picker.append(option)\n", | |
| " }\n", | |
| "\n", | |
| " // Add hover states to the ui-buttons\n", | |
| " $( \".ui-button\" ).hover(\n", | |
| " function() { $(this).addClass(\"ui-state-hover\");},\n", | |
| " function() { $(this).removeClass(\"ui-state-hover\");}\n", | |
| " );\n", | |
| "\n", | |
| " var status_bar = $('<span class=\"mpl-message\"/>');\n", | |
| " nav_element.append(status_bar);\n", | |
| " this.message = status_bar[0];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", | |
| " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", | |
| " // which will in turn request a refresh of the image.\n", | |
| " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.send_message = function(type, properties) {\n", | |
| " properties['type'] = type;\n", | |
| " properties['figure_id'] = this.id;\n", | |
| " this.ws.send(JSON.stringify(properties));\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.send_draw_message = function() {\n", | |
| " if (!this.waiting) {\n", | |
| " this.waiting = true;\n", | |
| " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", | |
| " }\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_save = function(fig, msg) {\n", | |
| " var format_dropdown = fig.format_dropdown;\n", | |
| " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", | |
| " fig.ondownload(fig, format);\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", | |
| " var size = msg['size'];\n", | |
| " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", | |
| " fig._resize_canvas(size[0], size[1]);\n", | |
| " fig.send_message(\"refresh\", {});\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", | |
| " var x0 = msg['x0'] / mpl.ratio;\n", | |
| " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", | |
| " var x1 = msg['x1'] / mpl.ratio;\n", | |
| " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", | |
| " x0 = Math.floor(x0) + 0.5;\n", | |
| " y0 = Math.floor(y0) + 0.5;\n", | |
| " x1 = Math.floor(x1) + 0.5;\n", | |
| " y1 = Math.floor(y1) + 0.5;\n", | |
| " var min_x = Math.min(x0, x1);\n", | |
| " var min_y = Math.min(y0, y1);\n", | |
| " var width = Math.abs(x1 - x0);\n", | |
| " var height = Math.abs(y1 - y0);\n", | |
| "\n", | |
| " fig.rubberband_context.clearRect(\n", | |
| " 0, 0, fig.canvas.width, fig.canvas.height);\n", | |
| "\n", | |
| " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", | |
| " // Updates the figure title.\n", | |
| " fig.header.textContent = msg['label'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", | |
| " var cursor = msg['cursor'];\n", | |
| " switch(cursor)\n", | |
| " {\n", | |
| " case 0:\n", | |
| " cursor = 'pointer';\n", | |
| " break;\n", | |
| " case 1:\n", | |
| " cursor = 'default';\n", | |
| " break;\n", | |
| " case 2:\n", | |
| " cursor = 'crosshair';\n", | |
| " break;\n", | |
| " case 3:\n", | |
| " cursor = 'move';\n", | |
| " break;\n", | |
| " }\n", | |
| " fig.rubberband_canvas.style.cursor = cursor;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_message = function(fig, msg) {\n", | |
| " fig.message.textContent = msg['message'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", | |
| " // Request the server to send over a new figure.\n", | |
| " fig.send_draw_message();\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", | |
| " fig.image_mode = msg['mode'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.updated_canvas_event = function() {\n", | |
| " // Called whenever the canvas gets updated.\n", | |
| " this.send_message(\"ack\", {});\n", | |
| "}\n", | |
| "\n", | |
| "// A function to construct a web socket function for onmessage handling.\n", | |
| "// Called in the figure constructor.\n", | |
| "mpl.figure.prototype._make_on_message_function = function(fig) {\n", | |
| " return function socket_on_message(evt) {\n", | |
| " if (evt.data instanceof Blob) {\n", | |
| " /* FIXME: We get \"Resource interpreted as Image but\n", | |
| " * transferred with MIME type text/plain:\" errors on\n", | |
| " * Chrome. But how to set the MIME type? It doesn't seem\n", | |
| " * to be part of the websocket stream */\n", | |
| " evt.data.type = \"image/png\";\n", | |
| "\n", | |
| " /* Free the memory for the previous frames */\n", | |
| " if (fig.imageObj.src) {\n", | |
| " (window.URL || window.webkitURL).revokeObjectURL(\n", | |
| " fig.imageObj.src);\n", | |
| " }\n", | |
| "\n", | |
| " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", | |
| " evt.data);\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " }\n", | |
| " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", | |
| " fig.imageObj.src = evt.data;\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " var msg = JSON.parse(evt.data);\n", | |
| " var msg_type = msg['type'];\n", | |
| "\n", | |
| " // Call the \"handle_{type}\" callback, which takes\n", | |
| " // the figure and JSON message as its only arguments.\n", | |
| " try {\n", | |
| " var callback = fig[\"handle_\" + msg_type];\n", | |
| " } catch (e) {\n", | |
| " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " if (callback) {\n", | |
| " try {\n", | |
| " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", | |
| " callback(fig, msg);\n", | |
| " } catch (e) {\n", | |
| " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", | |
| " }\n", | |
| " }\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", | |
| "mpl.findpos = function(e) {\n", | |
| " //this section is from http://www.quirksmode.org/js/events_properties.html\n", | |
| " var targ;\n", | |
| " if (!e)\n", | |
| " e = window.event;\n", | |
| " if (e.target)\n", | |
| " targ = e.target;\n", | |
| " else if (e.srcElement)\n", | |
| " targ = e.srcElement;\n", | |
| " if (targ.nodeType == 3) // defeat Safari bug\n", | |
| " targ = targ.parentNode;\n", | |
| "\n", | |
| " // jQuery normalizes the pageX and pageY\n", | |
| " // pageX,Y are the mouse positions relative to the document\n", | |
| " // offset() returns the position of the element relative to the document\n", | |
| " var x = e.pageX - $(targ).offset().left;\n", | |
| " var y = e.pageY - $(targ).offset().top;\n", | |
| "\n", | |
| " return {\"x\": x, \"y\": y};\n", | |
| "};\n", | |
| "\n", | |
| "/*\n", | |
| " * return a copy of an object with only non-object keys\n", | |
| " * we need this to avoid circular references\n", | |
| " * http://stackoverflow.com/a/24161582/3208463\n", | |
| " */\n", | |
| "function simpleKeys (original) {\n", | |
| " return Object.keys(original).reduce(function (obj, key) {\n", | |
| " if (typeof original[key] !== 'object')\n", | |
| " obj[key] = original[key]\n", | |
| " return obj;\n", | |
| " }, {});\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.mouse_event = function(event, name) {\n", | |
| " var canvas_pos = mpl.findpos(event)\n", | |
| "\n", | |
| " if (name === 'button_press')\n", | |
| " {\n", | |
| " this.canvas.focus();\n", | |
| " this.canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " var x = canvas_pos.x * mpl.ratio;\n", | |
| " var y = canvas_pos.y * mpl.ratio;\n", | |
| "\n", | |
| " this.send_message(name, {x: x, y: y, button: event.button,\n", | |
| " step: event.step,\n", | |
| " guiEvent: simpleKeys(event)});\n", | |
| "\n", | |
| " /* This prevents the web browser from automatically changing to\n", | |
| " * the text insertion cursor when the button is pressed. We want\n", | |
| " * to control all of the cursor setting manually through the\n", | |
| " * 'cursor' event from matplotlib */\n", | |
| " event.preventDefault();\n", | |
| " return false;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._key_event_extra = function(event, name) {\n", | |
| " // Handle any extra behaviour associated with a key event\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.key_event = function(event, name) {\n", | |
| "\n", | |
| " // Prevent repeat events\n", | |
| " if (name == 'key_press')\n", | |
| " {\n", | |
| " if (event.which === this._key)\n", | |
| " return;\n", | |
| " else\n", | |
| " this._key = event.which;\n", | |
| " }\n", | |
| " if (name == 'key_release')\n", | |
| " this._key = null;\n", | |
| "\n", | |
| " var value = '';\n", | |
| " if (event.ctrlKey && event.which != 17)\n", | |
| " value += \"ctrl+\";\n", | |
| " if (event.altKey && event.which != 18)\n", | |
| " value += \"alt+\";\n", | |
| " if (event.shiftKey && event.which != 16)\n", | |
| " value += \"shift+\";\n", | |
| "\n", | |
| " value += 'k';\n", | |
| " value += event.which.toString();\n", | |
| "\n", | |
| " this._key_event_extra(event, name);\n", | |
| "\n", | |
| " this.send_message(name, {key: value,\n", | |
| " guiEvent: simpleKeys(event)});\n", | |
| " return false;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", | |
| " if (name == 'download') {\n", | |
| " this.handle_save(this, null);\n", | |
| " } else {\n", | |
| " this.send_message(\"toolbar_button\", {name: name});\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", | |
| " this.message.textContent = tooltip;\n", | |
| "};\n", | |
| "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", | |
| "\n", | |
| "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", | |
| "\n", | |
| "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n", | |
| " // Create a \"websocket\"-like object which calls the given IPython comm\n", | |
| " // object with the appropriate methods. Currently this is a non binary\n", | |
| " // socket, so there is still some room for performance tuning.\n", | |
| " var ws = {};\n", | |
| "\n", | |
| " ws.close = function() {\n", | |
| " comm.close()\n", | |
| " };\n", | |
| " ws.send = function(m) {\n", | |
| " //console.log('sending', m);\n", | |
| " comm.send(m);\n", | |
| " };\n", | |
| " // Register the callback with on_msg.\n", | |
| " comm.on_msg(function(msg) {\n", | |
| " //console.log('receiving', msg['content']['data'], msg);\n", | |
| " // Pass the mpl event to the overriden (by mpl) onmessage function.\n", | |
| " ws.onmessage(msg['content']['data'])\n", | |
| " });\n", | |
| " return ws;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.mpl_figure_comm = function(comm, msg) {\n", | |
| " // This is the function which gets called when the mpl process\n", | |
| " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", | |
| "\n", | |
| " var id = msg.content.data.id;\n", | |
| " // Get hold of the div created by the display call when the Comm\n", | |
| " // socket was opened in Python.\n", | |
| " var element = $(\"#\" + id);\n", | |
| " var ws_proxy = comm_websocket_adapter(comm)\n", | |
| "\n", | |
| " function ondownload(figure, format) {\n", | |
| " window.open(figure.imageObj.src);\n", | |
| " }\n", | |
| "\n", | |
| " var fig = new mpl.figure(id, ws_proxy,\n", | |
| " ondownload,\n", | |
| " element.get(0));\n", | |
| "\n", | |
| " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", | |
| " // web socket which is closed, not our websocket->open comm proxy.\n", | |
| " ws_proxy.onopen();\n", | |
| "\n", | |
| " fig.parent_element = element.get(0);\n", | |
| " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n", | |
| " if (!fig.cell_info) {\n", | |
| " console.error(\"Failed to find cell for figure\", id, fig);\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " var output_index = fig.cell_info[2]\n", | |
| " var cell = fig.cell_info[0];\n", | |
| "\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_close = function(fig, msg) {\n", | |
| " var width = fig.canvas.width/mpl.ratio\n", | |
| " fig.root.unbind('remove')\n", | |
| "\n", | |
| " // Update the output cell to use the data from the current canvas.\n", | |
| " fig.push_to_output();\n", | |
| " var dataURL = fig.canvas.toDataURL();\n", | |
| " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", | |
| " // the notebook keyboard shortcuts fail.\n", | |
| " IPython.keyboard_manager.enable()\n", | |
| " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", | |
| " fig.close_ws(fig, msg);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.close_ws = function(fig, msg){\n", | |
| " fig.send_message('closing', msg);\n", | |
| " // fig.ws.close()\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", | |
| " // Turn the data on the canvas into data in the output cell.\n", | |
| " var width = this.canvas.width/mpl.ratio\n", | |
| " var dataURL = this.canvas.toDataURL();\n", | |
| " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.updated_canvas_event = function() {\n", | |
| " // Tell IPython that the notebook contents must change.\n", | |
| " IPython.notebook.set_dirty(true);\n", | |
| " this.send_message(\"ack\", {});\n", | |
| " var fig = this;\n", | |
| " // Wait a second, then push the new image to the DOM so\n", | |
| " // that it is saved nicely (might be nice to debounce this).\n", | |
| " setTimeout(function () { fig.push_to_output() }, 1000);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var nav_element = $('<div/>')\n", | |
| " nav_element.attr('style', 'width: 100%');\n", | |
| " this.root.append(nav_element);\n", | |
| "\n", | |
| " // Define a callback function for later on.\n", | |
| " function toolbar_event(event) {\n", | |
| " return fig.toolbar_button_onclick(event['data']);\n", | |
| " }\n", | |
| " function toolbar_mouse_event(event) {\n", | |
| " return fig.toolbar_button_onmouseover(event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " for(var toolbar_ind in mpl.toolbar_items){\n", | |
| " var name = mpl.toolbar_items[toolbar_ind][0];\n", | |
| " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", | |
| " var image = mpl.toolbar_items[toolbar_ind][2];\n", | |
| " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", | |
| "\n", | |
| " if (!name) { continue; };\n", | |
| "\n", | |
| " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", | |
| " button.click(method_name, toolbar_event);\n", | |
| " button.mouseover(tooltip, toolbar_mouse_event);\n", | |
| " nav_element.append(button);\n", | |
| " }\n", | |
| "\n", | |
| " // Add the status bar.\n", | |
| " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", | |
| " nav_element.append(status_bar);\n", | |
| " this.message = status_bar[0];\n", | |
| "\n", | |
| " // Add the close button to the window.\n", | |
| " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", | |
| " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", | |
| " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", | |
| " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", | |
| " buttongrp.append(button);\n", | |
| " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", | |
| " titlebar.prepend(buttongrp);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function(el){\n", | |
| " var fig = this\n", | |
| " el.on(\"remove\", function(){\n", | |
| "\tfig.close_ws(fig, {});\n", | |
| " });\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function(el){\n", | |
| " // this is important to make the div 'focusable\n", | |
| " el.attr('tabindex', 0)\n", | |
| " // reach out to IPython and tell the keyboard manager to turn it's self\n", | |
| " // off when our div gets focus\n", | |
| "\n", | |
| " // location in version 3\n", | |
| " if (IPython.notebook.keyboard_manager) {\n", | |
| " IPython.notebook.keyboard_manager.register_events(el);\n", | |
| " }\n", | |
| " else {\n", | |
| " // location in version 2\n", | |
| " IPython.keyboard_manager.register_events(el);\n", | |
| " }\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._key_event_extra = function(event, name) {\n", | |
| " var manager = IPython.notebook.keyboard_manager;\n", | |
| " if (!manager)\n", | |
| " manager = IPython.keyboard_manager;\n", | |
| "\n", | |
| " // Check for shift+enter\n", | |
| " if (event.shiftKey && event.which == 13) {\n", | |
| " this.canvas_div.blur();\n", | |
| " // 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<ncells; i++) {\n", | |
| " var cell = cells[i];\n", | |
| " if (cell.cell_type === 'code'){\n", | |
| " for (var j=0; j<cell.output_area.outputs.length; j++) {\n", | |
| " var data = cell.output_area.outputs[j];\n", | |
| " if (data.data) {\n", | |
| " // IPython >= 3 moved mimebundle to data attribute of output\n", | |
| " data = data.data;\n", | |
| " }\n", | |
| " if (data['text/html'] == html_output) {\n", | |
| " return [cell, data, j];\n", | |
| " }\n", | |
| " }\n", | |
| " }\n", | |
| " }\n", | |
| "}\n", | |
| "\n", | |
| "// Register the function which deals with the matplotlib target/channel.\n", | |
| "// The kernel may be null if the page has been refreshed.\n", | |
| "if (IPython.notebook.kernel != null) {\n", | |
| " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n", | |
| "}\n" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.Javascript object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "text/html": [ | |
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\" width=\"432\">" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "%matplotlib notebook\n", | |
| "df['ethnic.origin'].value_counts().plot.bar();" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Perhaps the focus should be placed on the three largest categories.." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 29, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "application/javascript": [ | |
| "/* Put everything inside the global mpl namespace */\n", | |
| "window.mpl = {};\n", | |
| "\n", | |
| "\n", | |
| "mpl.get_websocket_type = function() {\n", | |
| " if (typeof(WebSocket) !== 'undefined') {\n", | |
| " return WebSocket;\n", | |
| " } else if (typeof(MozWebSocket) !== 'undefined') {\n", | |
| " return MozWebSocket;\n", | |
| " } else {\n", | |
| " alert('Your browser does not have WebSocket support.' +\n", | |
| " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", | |
| " 'Firefox 4 and 5 are also supported but you ' +\n", | |
| " 'have to enable WebSockets in about:config.');\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", | |
| " this.id = figure_id;\n", | |
| "\n", | |
| " this.ws = websocket;\n", | |
| "\n", | |
| " this.supports_binary = (this.ws.binaryType != undefined);\n", | |
| "\n", | |
| " if (!this.supports_binary) {\n", | |
| " var warnings = document.getElementById(\"mpl-warnings\");\n", | |
| " if (warnings) {\n", | |
| " warnings.style.display = 'block';\n", | |
| " warnings.textContent = (\n", | |
| " \"This browser does not support binary websocket messages. \" +\n", | |
| " \"Performance may be slow.\");\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.imageObj = new Image();\n", | |
| "\n", | |
| " this.context = undefined;\n", | |
| " this.message = undefined;\n", | |
| " this.canvas = undefined;\n", | |
| " this.rubberband_canvas = undefined;\n", | |
| " this.rubberband_context = undefined;\n", | |
| " this.format_dropdown = undefined;\n", | |
| "\n", | |
| " this.image_mode = 'full';\n", | |
| "\n", | |
| " this.root = $('<div/>');\n", | |
| " this._root_extra_style(this.root)\n", | |
| " this.root.attr('style', 'display: inline-block');\n", | |
| "\n", | |
| " $(parent_element).append(this.root);\n", | |
| "\n", | |
| " this._init_header(this);\n", | |
| " this._init_canvas(this);\n", | |
| " this._init_toolbar(this);\n", | |
| "\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " this.waiting = false;\n", | |
| "\n", | |
| " this.ws.onopen = function () {\n", | |
| " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", | |
| " fig.send_message(\"send_image_mode\", {});\n", | |
| " if (mpl.ratio != 1) {\n", | |
| " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", | |
| " }\n", | |
| " fig.send_message(\"refresh\", {});\n", | |
| " }\n", | |
| "\n", | |
| " this.imageObj.onload = function() {\n", | |
| " if (fig.image_mode == 'full') {\n", | |
| " // Full images could contain transparency (where diff images\n", | |
| " // almost always do), so we need to clear the canvas so that\n", | |
| " // there is no ghosting.\n", | |
| " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", | |
| " }\n", | |
| " fig.context.drawImage(fig.imageObj, 0, 0);\n", | |
| " };\n", | |
| "\n", | |
| " this.imageObj.onunload = function() {\n", | |
| " this.ws.close();\n", | |
| " }\n", | |
| "\n", | |
| " this.ws.onmessage = this._make_on_message_function(this);\n", | |
| "\n", | |
| " this.ondownload = ondownload;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_header = function() {\n", | |
| " var titlebar = $(\n", | |
| " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", | |
| " 'ui-helper-clearfix\"/>');\n", | |
| " var titletext = $(\n", | |
| " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", | |
| " 'text-align: center; padding: 3px;\"/>');\n", | |
| " titlebar.append(titletext)\n", | |
| " this.root.append(titlebar);\n", | |
| " this.header = titletext[0];\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_canvas = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var canvas_div = $('<div/>');\n", | |
| "\n", | |
| " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", | |
| "\n", | |
| " function canvas_keyboard_event(event) {\n", | |
| " return fig.key_event(event, event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " canvas_div.keydown('key_press', canvas_keyboard_event);\n", | |
| " canvas_div.keyup('key_release', canvas_keyboard_event);\n", | |
| " this.canvas_div = canvas_div\n", | |
| " this._canvas_extra_style(canvas_div)\n", | |
| " this.root.append(canvas_div);\n", | |
| "\n", | |
| " var canvas = $('<canvas/>');\n", | |
| " canvas.addClass('mpl-canvas');\n", | |
| " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", | |
| "\n", | |
| " this.canvas = canvas[0];\n", | |
| " this.context = canvas[0].getContext(\"2d\");\n", | |
| "\n", | |
| " var backingStore = this.context.backingStorePixelRatio ||\n", | |
| "\tthis.context.webkitBackingStorePixelRatio ||\n", | |
| "\tthis.context.mozBackingStorePixelRatio ||\n", | |
| "\tthis.context.msBackingStorePixelRatio ||\n", | |
| "\tthis.context.oBackingStorePixelRatio ||\n", | |
| "\tthis.context.backingStorePixelRatio || 1;\n", | |
| "\n", | |
| " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", | |
| "\n", | |
| " var rubberband = $('<canvas/>');\n", | |
| " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", | |
| "\n", | |
| " var pass_mouse_events = true;\n", | |
| "\n", | |
| " canvas_div.resizable({\n", | |
| " start: function(event, ui) {\n", | |
| " pass_mouse_events = false;\n", | |
| " },\n", | |
| " resize: function(event, ui) {\n", | |
| " fig.request_resize(ui.size.width, ui.size.height);\n", | |
| " },\n", | |
| " stop: function(event, ui) {\n", | |
| " pass_mouse_events = true;\n", | |
| " fig.request_resize(ui.size.width, ui.size.height);\n", | |
| " },\n", | |
| " });\n", | |
| "\n", | |
| " function mouse_event_fn(event) {\n", | |
| " if (pass_mouse_events)\n", | |
| " return fig.mouse_event(event, event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " rubberband.mousedown('button_press', mouse_event_fn);\n", | |
| " rubberband.mouseup('button_release', mouse_event_fn);\n", | |
| " // Throttle sequential mouse events to 1 every 20ms.\n", | |
| " rubberband.mousemove('motion_notify', mouse_event_fn);\n", | |
| "\n", | |
| " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", | |
| " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", | |
| "\n", | |
| " canvas_div.on(\"wheel\", function (event) {\n", | |
| " event = event.originalEvent;\n", | |
| " event['data'] = 'scroll'\n", | |
| " if (event.deltaY < 0) {\n", | |
| " event.step = 1;\n", | |
| " } else {\n", | |
| " event.step = -1;\n", | |
| " }\n", | |
| " mouse_event_fn(event);\n", | |
| " });\n", | |
| "\n", | |
| " canvas_div.append(canvas);\n", | |
| " canvas_div.append(rubberband);\n", | |
| "\n", | |
| " this.rubberband = rubberband;\n", | |
| " this.rubberband_canvas = rubberband[0];\n", | |
| " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", | |
| " this.rubberband_context.strokeStyle = \"#000000\";\n", | |
| "\n", | |
| " this._resize_canvas = function(width, height) {\n", | |
| " // Keep the size of the canvas, canvas container, and rubber band\n", | |
| " // canvas in synch.\n", | |
| " canvas_div.css('width', width)\n", | |
| " canvas_div.css('height', height)\n", | |
| "\n", | |
| " canvas.attr('width', width * mpl.ratio);\n", | |
| " canvas.attr('height', height * mpl.ratio);\n", | |
| " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", | |
| "\n", | |
| " rubberband.attr('width', width);\n", | |
| " rubberband.attr('height', height);\n", | |
| " }\n", | |
| "\n", | |
| " // Set the figure to an initial 600x600px, this will subsequently be updated\n", | |
| " // upon first draw.\n", | |
| " this._resize_canvas(600, 600);\n", | |
| "\n", | |
| " // Disable right mouse context menu.\n", | |
| " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", | |
| " return false;\n", | |
| " });\n", | |
| "\n", | |
| " function set_focus () {\n", | |
| " canvas.focus();\n", | |
| " canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " window.setTimeout(set_focus, 100);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var nav_element = $('<div/>')\n", | |
| " nav_element.attr('style', 'width: 100%');\n", | |
| " this.root.append(nav_element);\n", | |
| "\n", | |
| " // Define a callback function for later on.\n", | |
| " function toolbar_event(event) {\n", | |
| " return fig.toolbar_button_onclick(event['data']);\n", | |
| " }\n", | |
| " function toolbar_mouse_event(event) {\n", | |
| " return fig.toolbar_button_onmouseover(event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " for(var toolbar_ind in mpl.toolbar_items) {\n", | |
| " var name = mpl.toolbar_items[toolbar_ind][0];\n", | |
| " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", | |
| " var image = mpl.toolbar_items[toolbar_ind][2];\n", | |
| " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", | |
| "\n", | |
| " if (!name) {\n", | |
| " // put a spacer in here.\n", | |
| " continue;\n", | |
| " }\n", | |
| " var button = $('<button/>');\n", | |
| " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", | |
| " 'ui-button-icon-only');\n", | |
| " button.attr('role', 'button');\n", | |
| " button.attr('aria-disabled', 'false');\n", | |
| " button.click(method_name, toolbar_event);\n", | |
| " button.mouseover(tooltip, toolbar_mouse_event);\n", | |
| "\n", | |
| " var icon_img = $('<span/>');\n", | |
| " icon_img.addClass('ui-button-icon-primary ui-icon');\n", | |
| " icon_img.addClass(image);\n", | |
| " icon_img.addClass('ui-corner-all');\n", | |
| "\n", | |
| " var tooltip_span = $('<span/>');\n", | |
| " tooltip_span.addClass('ui-button-text');\n", | |
| " tooltip_span.html(tooltip);\n", | |
| "\n", | |
| " button.append(icon_img);\n", | |
| " button.append(tooltip_span);\n", | |
| "\n", | |
| " nav_element.append(button);\n", | |
| " }\n", | |
| "\n", | |
| " var fmt_picker_span = $('<span/>');\n", | |
| "\n", | |
| " var fmt_picker = $('<select/>');\n", | |
| " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", | |
| " fmt_picker_span.append(fmt_picker);\n", | |
| " nav_element.append(fmt_picker_span);\n", | |
| " this.format_dropdown = fmt_picker[0];\n", | |
| "\n", | |
| " for (var ind in mpl.extensions) {\n", | |
| " var fmt = mpl.extensions[ind];\n", | |
| " var option = $(\n", | |
| " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", | |
| " fmt_picker.append(option)\n", | |
| " }\n", | |
| "\n", | |
| " // Add hover states to the ui-buttons\n", | |
| " $( \".ui-button\" ).hover(\n", | |
| " function() { $(this).addClass(\"ui-state-hover\");},\n", | |
| " function() { $(this).removeClass(\"ui-state-hover\");}\n", | |
| " );\n", | |
| "\n", | |
| " var status_bar = $('<span class=\"mpl-message\"/>');\n", | |
| " nav_element.append(status_bar);\n", | |
| " this.message = status_bar[0];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", | |
| " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", | |
| " // which will in turn request a refresh of the image.\n", | |
| " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.send_message = function(type, properties) {\n", | |
| " properties['type'] = type;\n", | |
| " properties['figure_id'] = this.id;\n", | |
| " this.ws.send(JSON.stringify(properties));\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.send_draw_message = function() {\n", | |
| " if (!this.waiting) {\n", | |
| " this.waiting = true;\n", | |
| " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", | |
| " }\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_save = function(fig, msg) {\n", | |
| " var format_dropdown = fig.format_dropdown;\n", | |
| " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", | |
| " fig.ondownload(fig, format);\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", | |
| " var size = msg['size'];\n", | |
| " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", | |
| " fig._resize_canvas(size[0], size[1]);\n", | |
| " fig.send_message(\"refresh\", {});\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", | |
| " var x0 = msg['x0'] / mpl.ratio;\n", | |
| " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", | |
| " var x1 = msg['x1'] / mpl.ratio;\n", | |
| " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", | |
| " x0 = Math.floor(x0) + 0.5;\n", | |
| " y0 = Math.floor(y0) + 0.5;\n", | |
| " x1 = Math.floor(x1) + 0.5;\n", | |
| " y1 = Math.floor(y1) + 0.5;\n", | |
| " var min_x = Math.min(x0, x1);\n", | |
| " var min_y = Math.min(y0, y1);\n", | |
| " var width = Math.abs(x1 - x0);\n", | |
| " var height = Math.abs(y1 - y0);\n", | |
| "\n", | |
| " fig.rubberband_context.clearRect(\n", | |
| " 0, 0, fig.canvas.width, fig.canvas.height);\n", | |
| "\n", | |
| " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", | |
| " // Updates the figure title.\n", | |
| " fig.header.textContent = msg['label'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", | |
| " var cursor = msg['cursor'];\n", | |
| " switch(cursor)\n", | |
| " {\n", | |
| " case 0:\n", | |
| " cursor = 'pointer';\n", | |
| " break;\n", | |
| " case 1:\n", | |
| " cursor = 'default';\n", | |
| " break;\n", | |
| " case 2:\n", | |
| " cursor = 'crosshair';\n", | |
| " break;\n", | |
| " case 3:\n", | |
| " cursor = 'move';\n", | |
| " break;\n", | |
| " }\n", | |
| " fig.rubberband_canvas.style.cursor = cursor;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_message = function(fig, msg) {\n", | |
| " fig.message.textContent = msg['message'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", | |
| " // Request the server to send over a new figure.\n", | |
| " fig.send_draw_message();\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", | |
| " fig.image_mode = msg['mode'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.updated_canvas_event = function() {\n", | |
| " // Called whenever the canvas gets updated.\n", | |
| " this.send_message(\"ack\", {});\n", | |
| "}\n", | |
| "\n", | |
| "// A function to construct a web socket function for onmessage handling.\n", | |
| "// Called in the figure constructor.\n", | |
| "mpl.figure.prototype._make_on_message_function = function(fig) {\n", | |
| " return function socket_on_message(evt) {\n", | |
| " if (evt.data instanceof Blob) {\n", | |
| " /* FIXME: We get \"Resource interpreted as Image but\n", | |
| " * transferred with MIME type text/plain:\" errors on\n", | |
| " * Chrome. But how to set the MIME type? It doesn't seem\n", | |
| " * to be part of the websocket stream */\n", | |
| " evt.data.type = \"image/png\";\n", | |
| "\n", | |
| " /* Free the memory for the previous frames */\n", | |
| " if (fig.imageObj.src) {\n", | |
| " (window.URL || window.webkitURL).revokeObjectURL(\n", | |
| " fig.imageObj.src);\n", | |
| " }\n", | |
| "\n", | |
| " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", | |
| " evt.data);\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " }\n", | |
| " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", | |
| " fig.imageObj.src = evt.data;\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " var msg = JSON.parse(evt.data);\n", | |
| " var msg_type = msg['type'];\n", | |
| "\n", | |
| " // Call the \"handle_{type}\" callback, which takes\n", | |
| " // the figure and JSON message as its only arguments.\n", | |
| " try {\n", | |
| " var callback = fig[\"handle_\" + msg_type];\n", | |
| " } catch (e) {\n", | |
| " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " if (callback) {\n", | |
| " try {\n", | |
| " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", | |
| " callback(fig, msg);\n", | |
| " } catch (e) {\n", | |
| " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", | |
| " }\n", | |
| " }\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", | |
| "mpl.findpos = function(e) {\n", | |
| " //this section is from http://www.quirksmode.org/js/events_properties.html\n", | |
| " var targ;\n", | |
| " if (!e)\n", | |
| " e = window.event;\n", | |
| " if (e.target)\n", | |
| " targ = e.target;\n", | |
| " else if (e.srcElement)\n", | |
| " targ = e.srcElement;\n", | |
| " if (targ.nodeType == 3) // defeat Safari bug\n", | |
| " targ = targ.parentNode;\n", | |
| "\n", | |
| " // jQuery normalizes the pageX and pageY\n", | |
| " // pageX,Y are the mouse positions relative to the document\n", | |
| " // offset() returns the position of the element relative to the document\n", | |
| " var x = e.pageX - $(targ).offset().left;\n", | |
| " var y = e.pageY - $(targ).offset().top;\n", | |
| "\n", | |
| " return {\"x\": x, \"y\": y};\n", | |
| "};\n", | |
| "\n", | |
| "/*\n", | |
| " * return a copy of an object with only non-object keys\n", | |
| " * we need this to avoid circular references\n", | |
| " * http://stackoverflow.com/a/24161582/3208463\n", | |
| " */\n", | |
| "function simpleKeys (original) {\n", | |
| " return Object.keys(original).reduce(function (obj, key) {\n", | |
| " if (typeof original[key] !== 'object')\n", | |
| " obj[key] = original[key]\n", | |
| " return obj;\n", | |
| " }, {});\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.mouse_event = function(event, name) {\n", | |
| " var canvas_pos = mpl.findpos(event)\n", | |
| "\n", | |
| " if (name === 'button_press')\n", | |
| " {\n", | |
| " this.canvas.focus();\n", | |
| " this.canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " var x = canvas_pos.x * mpl.ratio;\n", | |
| " var y = canvas_pos.y * mpl.ratio;\n", | |
| "\n", | |
| " this.send_message(name, {x: x, y: y, button: event.button,\n", | |
| " step: event.step,\n", | |
| " guiEvent: simpleKeys(event)});\n", | |
| "\n", | |
| " /* This prevents the web browser from automatically changing to\n", | |
| " * the text insertion cursor when the button is pressed. We want\n", | |
| " * to control all of the cursor setting manually through the\n", | |
| " * 'cursor' event from matplotlib */\n", | |
| " event.preventDefault();\n", | |
| " return false;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._key_event_extra = function(event, name) {\n", | |
| " // Handle any extra behaviour associated with a key event\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.key_event = function(event, name) {\n", | |
| "\n", | |
| " // Prevent repeat events\n", | |
| " if (name == 'key_press')\n", | |
| " {\n", | |
| " if (event.which === this._key)\n", | |
| " return;\n", | |
| " else\n", | |
| " this._key = event.which;\n", | |
| " }\n", | |
| " if (name == 'key_release')\n", | |
| " this._key = null;\n", | |
| "\n", | |
| " var value = '';\n", | |
| " if (event.ctrlKey && event.which != 17)\n", | |
| " value += \"ctrl+\";\n", | |
| " if (event.altKey && event.which != 18)\n", | |
| " value += \"alt+\";\n", | |
| " if (event.shiftKey && event.which != 16)\n", | |
| " value += \"shift+\";\n", | |
| "\n", | |
| " value += 'k';\n", | |
| " value += event.which.toString();\n", | |
| "\n", | |
| " this._key_event_extra(event, name);\n", | |
| "\n", | |
| " this.send_message(name, {key: value,\n", | |
| " guiEvent: simpleKeys(event)});\n", | |
| " return false;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", | |
| " if (name == 'download') {\n", | |
| " this.handle_save(this, null);\n", | |
| " } else {\n", | |
| " this.send_message(\"toolbar_button\", {name: name});\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", | |
| " this.message.textContent = tooltip;\n", | |
| "};\n", | |
| "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", | |
| "\n", | |
| "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", | |
| "\n", | |
| "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n", | |
| " // Create a \"websocket\"-like object which calls the given IPython comm\n", | |
| " // object with the appropriate methods. Currently this is a non binary\n", | |
| " // socket, so there is still some room for performance tuning.\n", | |
| " var ws = {};\n", | |
| "\n", | |
| " ws.close = function() {\n", | |
| " comm.close()\n", | |
| " };\n", | |
| " ws.send = function(m) {\n", | |
| " //console.log('sending', m);\n", | |
| " comm.send(m);\n", | |
| " };\n", | |
| " // Register the callback with on_msg.\n", | |
| " comm.on_msg(function(msg) {\n", | |
| " //console.log('receiving', msg['content']['data'], msg);\n", | |
| " // Pass the mpl event to the overriden (by mpl) onmessage function.\n", | |
| " ws.onmessage(msg['content']['data'])\n", | |
| " });\n", | |
| " return ws;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.mpl_figure_comm = function(comm, msg) {\n", | |
| " // This is the function which gets called when the mpl process\n", | |
| " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", | |
| "\n", | |
| " var id = msg.content.data.id;\n", | |
| " // Get hold of the div created by the display call when the Comm\n", | |
| " // socket was opened in Python.\n", | |
| " var element = $(\"#\" + id);\n", | |
| " var ws_proxy = comm_websocket_adapter(comm)\n", | |
| "\n", | |
| " function ondownload(figure, format) {\n", | |
| " window.open(figure.imageObj.src);\n", | |
| " }\n", | |
| "\n", | |
| " var fig = new mpl.figure(id, ws_proxy,\n", | |
| " ondownload,\n", | |
| " element.get(0));\n", | |
| "\n", | |
| " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", | |
| " // web socket which is closed, not our websocket->open comm proxy.\n", | |
| " ws_proxy.onopen();\n", | |
| "\n", | |
| " fig.parent_element = element.get(0);\n", | |
| " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n", | |
| " if (!fig.cell_info) {\n", | |
| " console.error(\"Failed to find cell for figure\", id, fig);\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " var output_index = fig.cell_info[2]\n", | |
| " var cell = fig.cell_info[0];\n", | |
| "\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_close = function(fig, msg) {\n", | |
| " var width = fig.canvas.width/mpl.ratio\n", | |
| " fig.root.unbind('remove')\n", | |
| "\n", | |
| " // Update the output cell to use the data from the current canvas.\n", | |
| " fig.push_to_output();\n", | |
| " var dataURL = fig.canvas.toDataURL();\n", | |
| " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", | |
| " // the notebook keyboard shortcuts fail.\n", | |
| " IPython.keyboard_manager.enable()\n", | |
| " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", | |
| " fig.close_ws(fig, msg);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.close_ws = function(fig, msg){\n", | |
| " fig.send_message('closing', msg);\n", | |
| " // fig.ws.close()\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", | |
| " // Turn the data on the canvas into data in the output cell.\n", | |
| " var width = this.canvas.width/mpl.ratio\n", | |
| " var dataURL = this.canvas.toDataURL();\n", | |
| " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.updated_canvas_event = function() {\n", | |
| " // Tell IPython that the notebook contents must change.\n", | |
| " IPython.notebook.set_dirty(true);\n", | |
| " this.send_message(\"ack\", {});\n", | |
| " var fig = this;\n", | |
| " // Wait a second, then push the new image to the DOM so\n", | |
| " // that it is saved nicely (might be nice to debounce this).\n", | |
| " setTimeout(function () { fig.push_to_output() }, 1000);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var nav_element = $('<div/>')\n", | |
| " nav_element.attr('style', 'width: 100%');\n", | |
| " this.root.append(nav_element);\n", | |
| "\n", | |
| " // Define a callback function for later on.\n", | |
| " function toolbar_event(event) {\n", | |
| " return fig.toolbar_button_onclick(event['data']);\n", | |
| " }\n", | |
| " function toolbar_mouse_event(event) {\n", | |
| " return fig.toolbar_button_onmouseover(event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " for(var toolbar_ind in mpl.toolbar_items){\n", | |
| " var name = mpl.toolbar_items[toolbar_ind][0];\n", | |
| " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", | |
| " var image = mpl.toolbar_items[toolbar_ind][2];\n", | |
| " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", | |
| "\n", | |
| " if (!name) { continue; };\n", | |
| "\n", | |
| " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", | |
| " button.click(method_name, toolbar_event);\n", | |
| " button.mouseover(tooltip, toolbar_mouse_event);\n", | |
| " nav_element.append(button);\n", | |
| " }\n", | |
| "\n", | |
| " // Add the status bar.\n", | |
| " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", | |
| " nav_element.append(status_bar);\n", | |
| " this.message = status_bar[0];\n", | |
| "\n", | |
| " // Add the close button to the window.\n", | |
| " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", | |
| " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", | |
| " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", | |
| " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", | |
| " buttongrp.append(button);\n", | |
| " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", | |
| " titlebar.prepend(buttongrp);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function(el){\n", | |
| " var fig = this\n", | |
| " el.on(\"remove\", function(){\n", | |
| "\tfig.close_ws(fig, {});\n", | |
| " });\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function(el){\n", | |
| " // this is important to make the div 'focusable\n", | |
| " el.attr('tabindex', 0)\n", | |
| " // reach out to IPython and tell the keyboard manager to turn it's self\n", | |
| " // off when our div gets focus\n", | |
| "\n", | |
| " // location in version 3\n", | |
| " if (IPython.notebook.keyboard_manager) {\n", | |
| " IPython.notebook.keyboard_manager.register_events(el);\n", | |
| " }\n", | |
| " else {\n", | |
| " // location in version 2\n", | |
| " IPython.keyboard_manager.register_events(el);\n", | |
| " }\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._key_event_extra = function(event, name) {\n", | |
| " var manager = IPython.notebook.keyboard_manager;\n", | |
| " if (!manager)\n", | |
| " manager = IPython.keyboard_manager;\n", | |
| "\n", | |
| " // Check for shift+enter\n", | |
| " if (event.shiftKey && event.which == 13) {\n", | |
| " this.canvas_div.blur();\n", | |
| " // 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<ncells; i++) {\n", | |
| " var cell = cells[i];\n", | |
| " if (cell.cell_type === 'code'){\n", | |
| " for (var j=0; j<cell.output_area.outputs.length; j++) {\n", | |
| " var data = cell.output_area.outputs[j];\n", | |
| " if (data.data) {\n", | |
| " // IPython >= 3 moved mimebundle to data attribute of output\n", | |
| " data = data.data;\n", | |
| " }\n", | |
| " if (data['text/html'] == html_output) {\n", | |
| " return [cell, data, j];\n", | |
| " }\n", | |
| " }\n", | |
| " }\n", | |
| " }\n", | |
| "}\n", | |
| "\n", | |
| "// Register the function which deals with the matplotlib target/channel.\n", | |
| "// The kernel may be null if the page has been refreshed.\n", | |
| "if (IPython.notebook.kernel != null) {\n", | |
| " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n", | |
| "}\n" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.Javascript object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "text/html": [ | |
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\" width=\"432\">" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "%matplotlib notebook\n", | |
| "df['ethnic.origin'].value_counts().plot.bar();" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 89, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>organization</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ethnic.origin</th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>Native Hawaiian or Other Pacific</th>\n", | |
| " <td>2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Two or More Races (Not Hispanic or Latino)</th>\n", | |
| " <td>12</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>American Indian or Alaska Native (Not Hispanic or Latino)</th>\n", | |
| " <td>13</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Asian (Not Hispanic or Latino)</th>\n", | |
| " <td>103</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Hispanic or Latino of any race</th>\n", | |
| " <td>170</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>White (Not Hispanic or Latino)</th>\n", | |
| " <td>1642</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Black or African American (Not Hispanic or Latino)</th>\n", | |
| " <td>6304</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " organization\n", | |
| "ethnic.origin \n", | |
| "Native Hawaiian or Other Pacific 2\n", | |
| "Two or More Races (Not Hispanic or Latino) 12\n", | |
| "American Indian or Alaska Native (Not Hispanic ... 13\n", | |
| "Asian (Not Hispanic or Latino) 103\n", | |
| "Hispanic or Latino of any race 170\n", | |
| "White (Not Hispanic or Latino) 1642\n", | |
| "Black or African American (Not Hispanic or Latino) 6304" | |
| ] | |
| }, | |
| "execution_count": 89, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df[['ethnic.origin', 'organization']].pipe(\n", | |
| " lambda df: df.groupby('ethnic.origin')\n", | |
| ").count().sort_values('organization')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 98, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import seaborn as sns\n", | |
| "sns.set(style=\"ticks\")\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 100, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "sns.pairplot?" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 105, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "application/javascript": [ | |
| "/* Put everything inside the global mpl namespace */\n", | |
| "window.mpl = {};\n", | |
| "\n", | |
| "\n", | |
| "mpl.get_websocket_type = function() {\n", | |
| " if (typeof(WebSocket) !== 'undefined') {\n", | |
| " return WebSocket;\n", | |
| " } else if (typeof(MozWebSocket) !== 'undefined') {\n", | |
| " return MozWebSocket;\n", | |
| " } else {\n", | |
| " alert('Your browser does not have WebSocket support.' +\n", | |
| " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", | |
| " 'Firefox 4 and 5 are also supported but you ' +\n", | |
| " 'have to enable WebSockets in about:config.');\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", | |
| " this.id = figure_id;\n", | |
| "\n", | |
| " this.ws = websocket;\n", | |
| "\n", | |
| " this.supports_binary = (this.ws.binaryType != undefined);\n", | |
| "\n", | |
| " if (!this.supports_binary) {\n", | |
| " var warnings = document.getElementById(\"mpl-warnings\");\n", | |
| " if (warnings) {\n", | |
| " warnings.style.display = 'block';\n", | |
| " warnings.textContent = (\n", | |
| " \"This browser does not support binary websocket messages. \" +\n", | |
| " \"Performance may be slow.\");\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.imageObj = new Image();\n", | |
| "\n", | |
| " this.context = undefined;\n", | |
| " this.message = undefined;\n", | |
| " this.canvas = undefined;\n", | |
| " this.rubberband_canvas = undefined;\n", | |
| " this.rubberband_context = undefined;\n", | |
| " this.format_dropdown = undefined;\n", | |
| "\n", | |
| " this.image_mode = 'full';\n", | |
| "\n", | |
| " this.root = $('<div/>');\n", | |
| " this._root_extra_style(this.root)\n", | |
| " this.root.attr('style', 'display: inline-block');\n", | |
| "\n", | |
| " $(parent_element).append(this.root);\n", | |
| "\n", | |
| " this._init_header(this);\n", | |
| " this._init_canvas(this);\n", | |
| " this._init_toolbar(this);\n", | |
| "\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " this.waiting = false;\n", | |
| "\n", | |
| " this.ws.onopen = function () {\n", | |
| " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", | |
| " fig.send_message(\"send_image_mode\", {});\n", | |
| " if (mpl.ratio != 1) {\n", | |
| " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", | |
| " }\n", | |
| " fig.send_message(\"refresh\", {});\n", | |
| " }\n", | |
| "\n", | |
| " this.imageObj.onload = function() {\n", | |
| " if (fig.image_mode == 'full') {\n", | |
| " // Full images could contain transparency (where diff images\n", | |
| " // almost always do), so we need to clear the canvas so that\n", | |
| " // there is no ghosting.\n", | |
| " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", | |
| " }\n", | |
| " fig.context.drawImage(fig.imageObj, 0, 0);\n", | |
| " };\n", | |
| "\n", | |
| " this.imageObj.onunload = function() {\n", | |
| " this.ws.close();\n", | |
| " }\n", | |
| "\n", | |
| " this.ws.onmessage = this._make_on_message_function(this);\n", | |
| "\n", | |
| " this.ondownload = ondownload;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_header = function() {\n", | |
| " var titlebar = $(\n", | |
| " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", | |
| " 'ui-helper-clearfix\"/>');\n", | |
| " var titletext = $(\n", | |
| " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", | |
| " 'text-align: center; padding: 3px;\"/>');\n", | |
| " titlebar.append(titletext)\n", | |
| " this.root.append(titlebar);\n", | |
| " this.header = titletext[0];\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_canvas = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var canvas_div = $('<div/>');\n", | |
| "\n", | |
| " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", | |
| "\n", | |
| " function canvas_keyboard_event(event) {\n", | |
| " return fig.key_event(event, event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " canvas_div.keydown('key_press', canvas_keyboard_event);\n", | |
| " canvas_div.keyup('key_release', canvas_keyboard_event);\n", | |
| " this.canvas_div = canvas_div\n", | |
| " this._canvas_extra_style(canvas_div)\n", | |
| " this.root.append(canvas_div);\n", | |
| "\n", | |
| " var canvas = $('<canvas/>');\n", | |
| " canvas.addClass('mpl-canvas');\n", | |
| " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", | |
| "\n", | |
| " this.canvas = canvas[0];\n", | |
| " this.context = canvas[0].getContext(\"2d\");\n", | |
| "\n", | |
| " var backingStore = this.context.backingStorePixelRatio ||\n", | |
| "\tthis.context.webkitBackingStorePixelRatio ||\n", | |
| "\tthis.context.mozBackingStorePixelRatio ||\n", | |
| "\tthis.context.msBackingStorePixelRatio ||\n", | |
| "\tthis.context.oBackingStorePixelRatio ||\n", | |
| "\tthis.context.backingStorePixelRatio || 1;\n", | |
| "\n", | |
| " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", | |
| "\n", | |
| " var rubberband = $('<canvas/>');\n", | |
| " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", | |
| "\n", | |
| " var pass_mouse_events = true;\n", | |
| "\n", | |
| " canvas_div.resizable({\n", | |
| " start: function(event, ui) {\n", | |
| " pass_mouse_events = false;\n", | |
| " },\n", | |
| " resize: function(event, ui) {\n", | |
| " fig.request_resize(ui.size.width, ui.size.height);\n", | |
| " },\n", | |
| " stop: function(event, ui) {\n", | |
| " pass_mouse_events = true;\n", | |
| " fig.request_resize(ui.size.width, ui.size.height);\n", | |
| " },\n", | |
| " });\n", | |
| "\n", | |
| " function mouse_event_fn(event) {\n", | |
| " if (pass_mouse_events)\n", | |
| " return fig.mouse_event(event, event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " rubberband.mousedown('button_press', mouse_event_fn);\n", | |
| " rubberband.mouseup('button_release', mouse_event_fn);\n", | |
| " // Throttle sequential mouse events to 1 every 20ms.\n", | |
| " rubberband.mousemove('motion_notify', mouse_event_fn);\n", | |
| "\n", | |
| " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", | |
| " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", | |
| "\n", | |
| " canvas_div.on(\"wheel\", function (event) {\n", | |
| " event = event.originalEvent;\n", | |
| " event['data'] = 'scroll'\n", | |
| " if (event.deltaY < 0) {\n", | |
| " event.step = 1;\n", | |
| " } else {\n", | |
| " event.step = -1;\n", | |
| " }\n", | |
| " mouse_event_fn(event);\n", | |
| " });\n", | |
| "\n", | |
| " canvas_div.append(canvas);\n", | |
| " canvas_div.append(rubberband);\n", | |
| "\n", | |
| " this.rubberband = rubberband;\n", | |
| " this.rubberband_canvas = rubberband[0];\n", | |
| " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", | |
| " this.rubberband_context.strokeStyle = \"#000000\";\n", | |
| "\n", | |
| " this._resize_canvas = function(width, height) {\n", | |
| " // Keep the size of the canvas, canvas container, and rubber band\n", | |
| " // canvas in synch.\n", | |
| " canvas_div.css('width', width)\n", | |
| " canvas_div.css('height', height)\n", | |
| "\n", | |
| " canvas.attr('width', width * mpl.ratio);\n", | |
| " canvas.attr('height', height * mpl.ratio);\n", | |
| " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", | |
| "\n", | |
| " rubberband.attr('width', width);\n", | |
| " rubberband.attr('height', height);\n", | |
| " }\n", | |
| "\n", | |
| " // Set the figure to an initial 600x600px, this will subsequently be updated\n", | |
| " // upon first draw.\n", | |
| " this._resize_canvas(600, 600);\n", | |
| "\n", | |
| " // Disable right mouse context menu.\n", | |
| " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", | |
| " return false;\n", | |
| " });\n", | |
| "\n", | |
| " function set_focus () {\n", | |
| " canvas.focus();\n", | |
| " canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " window.setTimeout(set_focus, 100);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var nav_element = $('<div/>')\n", | |
| " nav_element.attr('style', 'width: 100%');\n", | |
| " this.root.append(nav_element);\n", | |
| "\n", | |
| " // Define a callback function for later on.\n", | |
| " function toolbar_event(event) {\n", | |
| " return fig.toolbar_button_onclick(event['data']);\n", | |
| " }\n", | |
| " function toolbar_mouse_event(event) {\n", | |
| " return fig.toolbar_button_onmouseover(event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " for(var toolbar_ind in mpl.toolbar_items) {\n", | |
| " var name = mpl.toolbar_items[toolbar_ind][0];\n", | |
| " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", | |
| " var image = mpl.toolbar_items[toolbar_ind][2];\n", | |
| " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", | |
| "\n", | |
| " if (!name) {\n", | |
| " // put a spacer in here.\n", | |
| " continue;\n", | |
| " }\n", | |
| " var button = $('<button/>');\n", | |
| " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", | |
| " 'ui-button-icon-only');\n", | |
| " button.attr('role', 'button');\n", | |
| " button.attr('aria-disabled', 'false');\n", | |
| " button.click(method_name, toolbar_event);\n", | |
| " button.mouseover(tooltip, toolbar_mouse_event);\n", | |
| "\n", | |
| " var icon_img = $('<span/>');\n", | |
| " icon_img.addClass('ui-button-icon-primary ui-icon');\n", | |
| " icon_img.addClass(image);\n", | |
| " icon_img.addClass('ui-corner-all');\n", | |
| "\n", | |
| " var tooltip_span = $('<span/>');\n", | |
| " tooltip_span.addClass('ui-button-text');\n", | |
| " tooltip_span.html(tooltip);\n", | |
| "\n", | |
| " button.append(icon_img);\n", | |
| " button.append(tooltip_span);\n", | |
| "\n", | |
| " nav_element.append(button);\n", | |
| " }\n", | |
| "\n", | |
| " var fmt_picker_span = $('<span/>');\n", | |
| "\n", | |
| " var fmt_picker = $('<select/>');\n", | |
| " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", | |
| " fmt_picker_span.append(fmt_picker);\n", | |
| " nav_element.append(fmt_picker_span);\n", | |
| " this.format_dropdown = fmt_picker[0];\n", | |
| "\n", | |
| " for (var ind in mpl.extensions) {\n", | |
| " var fmt = mpl.extensions[ind];\n", | |
| " var option = $(\n", | |
| " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", | |
| " fmt_picker.append(option)\n", | |
| " }\n", | |
| "\n", | |
| " // Add hover states to the ui-buttons\n", | |
| " $( \".ui-button\" ).hover(\n", | |
| " function() { $(this).addClass(\"ui-state-hover\");},\n", | |
| " function() { $(this).removeClass(\"ui-state-hover\");}\n", | |
| " );\n", | |
| "\n", | |
| " var status_bar = $('<span class=\"mpl-message\"/>');\n", | |
| " nav_element.append(status_bar);\n", | |
| " this.message = status_bar[0];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", | |
| " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", | |
| " // which will in turn request a refresh of the image.\n", | |
| " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.send_message = function(type, properties) {\n", | |
| " properties['type'] = type;\n", | |
| " properties['figure_id'] = this.id;\n", | |
| " this.ws.send(JSON.stringify(properties));\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.send_draw_message = function() {\n", | |
| " if (!this.waiting) {\n", | |
| " this.waiting = true;\n", | |
| " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", | |
| " }\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_save = function(fig, msg) {\n", | |
| " var format_dropdown = fig.format_dropdown;\n", | |
| " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", | |
| " fig.ondownload(fig, format);\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", | |
| " var size = msg['size'];\n", | |
| " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", | |
| " fig._resize_canvas(size[0], size[1]);\n", | |
| " fig.send_message(\"refresh\", {});\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", | |
| " var x0 = msg['x0'] / mpl.ratio;\n", | |
| " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", | |
| " var x1 = msg['x1'] / mpl.ratio;\n", | |
| " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", | |
| " x0 = Math.floor(x0) + 0.5;\n", | |
| " y0 = Math.floor(y0) + 0.5;\n", | |
| " x1 = Math.floor(x1) + 0.5;\n", | |
| " y1 = Math.floor(y1) + 0.5;\n", | |
| " var min_x = Math.min(x0, x1);\n", | |
| " var min_y = Math.min(y0, y1);\n", | |
| " var width = Math.abs(x1 - x0);\n", | |
| " var height = Math.abs(y1 - y0);\n", | |
| "\n", | |
| " fig.rubberband_context.clearRect(\n", | |
| " 0, 0, fig.canvas.width, fig.canvas.height);\n", | |
| "\n", | |
| " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", | |
| " // Updates the figure title.\n", | |
| " fig.header.textContent = msg['label'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", | |
| " var cursor = msg['cursor'];\n", | |
| " switch(cursor)\n", | |
| " {\n", | |
| " case 0:\n", | |
| " cursor = 'pointer';\n", | |
| " break;\n", | |
| " case 1:\n", | |
| " cursor = 'default';\n", | |
| " break;\n", | |
| " case 2:\n", | |
| " cursor = 'crosshair';\n", | |
| " break;\n", | |
| " case 3:\n", | |
| " cursor = 'move';\n", | |
| " break;\n", | |
| " }\n", | |
| " fig.rubberband_canvas.style.cursor = cursor;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_message = function(fig, msg) {\n", | |
| " fig.message.textContent = msg['message'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", | |
| " // Request the server to send over a new figure.\n", | |
| " fig.send_draw_message();\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", | |
| " fig.image_mode = msg['mode'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.updated_canvas_event = function() {\n", | |
| " // Called whenever the canvas gets updated.\n", | |
| " this.send_message(\"ack\", {});\n", | |
| "}\n", | |
| "\n", | |
| "// A function to construct a web socket function for onmessage handling.\n", | |
| "// Called in the figure constructor.\n", | |
| "mpl.figure.prototype._make_on_message_function = function(fig) {\n", | |
| " return function socket_on_message(evt) {\n", | |
| " if (evt.data instanceof Blob) {\n", | |
| " /* FIXME: We get \"Resource interpreted as Image but\n", | |
| " * transferred with MIME type text/plain:\" errors on\n", | |
| " * Chrome. But how to set the MIME type? It doesn't seem\n", | |
| " * to be part of the websocket stream */\n", | |
| " evt.data.type = \"image/png\";\n", | |
| "\n", | |
| " /* Free the memory for the previous frames */\n", | |
| " if (fig.imageObj.src) {\n", | |
| " (window.URL || window.webkitURL).revokeObjectURL(\n", | |
| " fig.imageObj.src);\n", | |
| " }\n", | |
| "\n", | |
| " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", | |
| " evt.data);\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " }\n", | |
| " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", | |
| " fig.imageObj.src = evt.data;\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " var msg = JSON.parse(evt.data);\n", | |
| " var msg_type = msg['type'];\n", | |
| "\n", | |
| " // Call the \"handle_{type}\" callback, which takes\n", | |
| " // the figure and JSON message as its only arguments.\n", | |
| " try {\n", | |
| " var callback = fig[\"handle_\" + msg_type];\n", | |
| " } catch (e) {\n", | |
| " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " if (callback) {\n", | |
| " try {\n", | |
| " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", | |
| " callback(fig, msg);\n", | |
| " } catch (e) {\n", | |
| " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", | |
| " }\n", | |
| " }\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", | |
| "mpl.findpos = function(e) {\n", | |
| " //this section is from http://www.quirksmode.org/js/events_properties.html\n", | |
| " var targ;\n", | |
| " if (!e)\n", | |
| " e = window.event;\n", | |
| " if (e.target)\n", | |
| " targ = e.target;\n", | |
| " else if (e.srcElement)\n", | |
| " targ = e.srcElement;\n", | |
| " if (targ.nodeType == 3) // defeat Safari bug\n", | |
| " targ = targ.parentNode;\n", | |
| "\n", | |
| " // jQuery normalizes the pageX and pageY\n", | |
| " // pageX,Y are the mouse positions relative to the document\n", | |
| " // offset() returns the position of the element relative to the document\n", | |
| " var x = e.pageX - $(targ).offset().left;\n", | |
| " var y = e.pageY - $(targ).offset().top;\n", | |
| "\n", | |
| " return {\"x\": x, \"y\": y};\n", | |
| "};\n", | |
| "\n", | |
| "/*\n", | |
| " * return a copy of an object with only non-object keys\n", | |
| " * we need this to avoid circular references\n", | |
| " * http://stackoverflow.com/a/24161582/3208463\n", | |
| " */\n", | |
| "function simpleKeys (original) {\n", | |
| " return Object.keys(original).reduce(function (obj, key) {\n", | |
| " if (typeof original[key] !== 'object')\n", | |
| " obj[key] = original[key]\n", | |
| " return obj;\n", | |
| " }, {});\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.mouse_event = function(event, name) {\n", | |
| " var canvas_pos = mpl.findpos(event)\n", | |
| "\n", | |
| " if (name === 'button_press')\n", | |
| " {\n", | |
| " this.canvas.focus();\n", | |
| " this.canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " var x = canvas_pos.x * mpl.ratio;\n", | |
| " var y = canvas_pos.y * mpl.ratio;\n", | |
| "\n", | |
| " this.send_message(name, {x: x, y: y, button: event.button,\n", | |
| " step: event.step,\n", | |
| " guiEvent: simpleKeys(event)});\n", | |
| "\n", | |
| " /* This prevents the web browser from automatically changing to\n", | |
| " * the text insertion cursor when the button is pressed. We want\n", | |
| " * to control all of the cursor setting manually through the\n", | |
| " * 'cursor' event from matplotlib */\n", | |
| " event.preventDefault();\n", | |
| " return false;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._key_event_extra = function(event, name) {\n", | |
| " // Handle any extra behaviour associated with a key event\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.key_event = function(event, name) {\n", | |
| "\n", | |
| " // Prevent repeat events\n", | |
| " if (name == 'key_press')\n", | |
| " {\n", | |
| " if (event.which === this._key)\n", | |
| " return;\n", | |
| " else\n", | |
| " this._key = event.which;\n", | |
| " }\n", | |
| " if (name == 'key_release')\n", | |
| " this._key = null;\n", | |
| "\n", | |
| " var value = '';\n", | |
| " if (event.ctrlKey && event.which != 17)\n", | |
| " value += \"ctrl+\";\n", | |
| " if (event.altKey && event.which != 18)\n", | |
| " value += \"alt+\";\n", | |
| " if (event.shiftKey && event.which != 16)\n", | |
| " value += \"shift+\";\n", | |
| "\n", | |
| " value += 'k';\n", | |
| " value += event.which.toString();\n", | |
| "\n", | |
| " this._key_event_extra(event, name);\n", | |
| "\n", | |
| " this.send_message(name, {key: value,\n", | |
| " guiEvent: simpleKeys(event)});\n", | |
| " return false;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", | |
| " if (name == 'download') {\n", | |
| " this.handle_save(this, null);\n", | |
| " } else {\n", | |
| " this.send_message(\"toolbar_button\", {name: name});\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", | |
| " this.message.textContent = tooltip;\n", | |
| "};\n", | |
| "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", | |
| "\n", | |
| "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", | |
| "\n", | |
| "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n", | |
| " // Create a \"websocket\"-like object which calls the given IPython comm\n", | |
| " // object with the appropriate methods. Currently this is a non binary\n", | |
| " // socket, so there is still some room for performance tuning.\n", | |
| " var ws = {};\n", | |
| "\n", | |
| " ws.close = function() {\n", | |
| " comm.close()\n", | |
| " };\n", | |
| " ws.send = function(m) {\n", | |
| " //console.log('sending', m);\n", | |
| " comm.send(m);\n", | |
| " };\n", | |
| " // Register the callback with on_msg.\n", | |
| " comm.on_msg(function(msg) {\n", | |
| " //console.log('receiving', msg['content']['data'], msg);\n", | |
| " // Pass the mpl event to the overriden (by mpl) onmessage function.\n", | |
| " ws.onmessage(msg['content']['data'])\n", | |
| " });\n", | |
| " return ws;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.mpl_figure_comm = function(comm, msg) {\n", | |
| " // This is the function which gets called when the mpl process\n", | |
| " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", | |
| "\n", | |
| " var id = msg.content.data.id;\n", | |
| " // Get hold of the div created by the display call when the Comm\n", | |
| " // socket was opened in Python.\n", | |
| " var element = $(\"#\" + id);\n", | |
| " var ws_proxy = comm_websocket_adapter(comm)\n", | |
| "\n", | |
| " function ondownload(figure, format) {\n", | |
| " window.open(figure.imageObj.src);\n", | |
| " }\n", | |
| "\n", | |
| " var fig = new mpl.figure(id, ws_proxy,\n", | |
| " ondownload,\n", | |
| " element.get(0));\n", | |
| "\n", | |
| " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", | |
| " // web socket which is closed, not our websocket->open comm proxy.\n", | |
| " ws_proxy.onopen();\n", | |
| "\n", | |
| " fig.parent_element = element.get(0);\n", | |
| " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n", | |
| " if (!fig.cell_info) {\n", | |
| " console.error(\"Failed to find cell for figure\", id, fig);\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " var output_index = fig.cell_info[2]\n", | |
| " var cell = fig.cell_info[0];\n", | |
| "\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_close = function(fig, msg) {\n", | |
| " var width = fig.canvas.width/mpl.ratio\n", | |
| " fig.root.unbind('remove')\n", | |
| "\n", | |
| " // Update the output cell to use the data from the current canvas.\n", | |
| " fig.push_to_output();\n", | |
| " var dataURL = fig.canvas.toDataURL();\n", | |
| " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", | |
| " // the notebook keyboard shortcuts fail.\n", | |
| " IPython.keyboard_manager.enable()\n", | |
| " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", | |
| " fig.close_ws(fig, msg);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.close_ws = function(fig, msg){\n", | |
| " fig.send_message('closing', msg);\n", | |
| " // fig.ws.close()\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", | |
| " // Turn the data on the canvas into data in the output cell.\n", | |
| " var width = this.canvas.width/mpl.ratio\n", | |
| " var dataURL = this.canvas.toDataURL();\n", | |
| " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.updated_canvas_event = function() {\n", | |
| " // Tell IPython that the notebook contents must change.\n", | |
| " IPython.notebook.set_dirty(true);\n", | |
| " this.send_message(\"ack\", {});\n", | |
| " var fig = this;\n", | |
| " // Wait a second, then push the new image to the DOM so\n", | |
| " // that it is saved nicely (might be nice to debounce this).\n", | |
| " setTimeout(function () { fig.push_to_output() }, 1000);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var nav_element = $('<div/>')\n", | |
| " nav_element.attr('style', 'width: 100%');\n", | |
| " this.root.append(nav_element);\n", | |
| "\n", | |
| " // Define a callback function for later on.\n", | |
| " function toolbar_event(event) {\n", | |
| " return fig.toolbar_button_onclick(event['data']);\n", | |
| " }\n", | |
| " function toolbar_mouse_event(event) {\n", | |
| " return fig.toolbar_button_onmouseover(event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " for(var toolbar_ind in mpl.toolbar_items){\n", | |
| " var name = mpl.toolbar_items[toolbar_ind][0];\n", | |
| " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", | |
| " var image = mpl.toolbar_items[toolbar_ind][2];\n", | |
| " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", | |
| "\n", | |
| " if (!name) { continue; };\n", | |
| "\n", | |
| " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", | |
| " button.click(method_name, toolbar_event);\n", | |
| " button.mouseover(tooltip, toolbar_mouse_event);\n", | |
| " nav_element.append(button);\n", | |
| " }\n", | |
| "\n", | |
| " // Add the status bar.\n", | |
| " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", | |
| " nav_element.append(status_bar);\n", | |
| " this.message = status_bar[0];\n", | |
| "\n", | |
| " // Add the close button to the window.\n", | |
| " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", | |
| " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", | |
| " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", | |
| " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", | |
| " buttongrp.append(button);\n", | |
| " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", | |
| " titlebar.prepend(buttongrp);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function(el){\n", | |
| " var fig = this\n", | |
| " el.on(\"remove\", function(){\n", | |
| "\tfig.close_ws(fig, {});\n", | |
| " });\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function(el){\n", | |
| " // this is important to make the div 'focusable\n", | |
| " el.attr('tabindex', 0)\n", | |
| " // reach out to IPython and tell the keyboard manager to turn it's self\n", | |
| " // off when our div gets focus\n", | |
| "\n", | |
| " // location in version 3\n", | |
| " if (IPython.notebook.keyboard_manager) {\n", | |
| " IPython.notebook.keyboard_manager.register_events(el);\n", | |
| " }\n", | |
| " else {\n", | |
| " // location in version 2\n", | |
| " IPython.keyboard_manager.register_events(el);\n", | |
| " }\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._key_event_extra = function(event, name) {\n", | |
| " var manager = IPython.notebook.keyboard_manager;\n", | |
| " if (!manager)\n", | |
| " manager = IPython.keyboard_manager;\n", | |
| "\n", | |
| " // Check for shift+enter\n", | |
| " if (event.shiftKey && event.which == 13) {\n", | |
| " this.canvas_div.blur();\n", | |
| " // 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<ncells; i++) {\n", | |
| " var cell = cells[i];\n", | |
| " if (cell.cell_type === 'code'){\n", | |
| " for (var j=0; j<cell.output_area.outputs.length; j++) {\n", | |
| " var data = cell.output_area.outputs[j];\n", | |
| " if (data.data) {\n", | |
| " // IPython >= 3 moved mimebundle to data attribute of output\n", | |
| " data = data.data;\n", | |
| " }\n", | |
| " if (data['text/html'] == html_output) {\n", | |
| " return [cell, data, j];\n", | |
| " }\n", | |
| " }\n", | |
| " }\n", | |
| " }\n", | |
| "}\n", | |
| "\n", | |
| "// Register the function which deals with the matplotlib target/channel.\n", | |
| "// The kernel may be null if the page has been refreshed.\n", | |
| "if (IPython.notebook.kernel != null) {\n", | |
| " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n", | |
| "}\n" | |
| ], | |
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\" width=\"668.8\">" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "%matplotlib notebook\n", | |
| "df[d.index.tolist()+['sex']].pipe(sns.pairplot, hue='sex');" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 17, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0 Black or African American (Not Hispanic or Lat...\n", | |
| "1 Black or African American (Not Hispanic or Lat...\n", | |
| "2 Black or African American (Not Hispanic or Lat...\n", | |
| "3 Black or African American (Not Hispanic or Lat...\n", | |
| "4 White (Not Hispanic or Latino)\n", | |
| "5 White (Not Hispanic or Latino)\n", | |
| "6 Black or African American (Not Hispanic or Lat...\n", | |
| "7 Black or African American (Not Hispanic or Lat...\n", | |
| "8 White (Not Hispanic or Latino)\n", | |
| "9 White (Not Hispanic or Latino)\n", | |
| "10 Black or African American (Not Hispanic or Lat...\n", | |
| "11 White (Not Hispanic or Latino)\n", | |
| "12 Black or African American (Not Hispanic or Lat...\n", | |
| "13 Black or African American (Not Hispanic or Lat...\n", | |
| "14 Black or African American (Not Hispanic or Lat...\n", | |
| "15 Hispanic or Latino of any race\n", | |
| "16 Black or African American (Not Hispanic or Lat...\n", | |
| "17 White (Not Hispanic or Latino)\n", | |
| "18 Black or African American (Not Hispanic or Lat...\n", | |
| "19 Black or African American (Not Hispanic or Lat...\n", | |
| "20 Black or African American (Not Hispanic or Lat...\n", | |
| "21 Hispanic or Latino of any race\n", | |
| "22 Black or African American (Not Hispanic or Lat...\n", | |
| "23 Black or African American (Not Hispanic or Lat...\n", | |
| "24 Black or African American (Not Hispanic or Lat...\n", | |
| "25 Black or African American (Not Hispanic or Lat...\n", | |
| "26 Black or African American (Not Hispanic or Lat...\n", | |
| "27 White (Not Hispanic or Latino)\n", | |
| "28 Black or African American (Not Hispanic or Lat...\n", | |
| "29 Black or African American (Not Hispanic or Lat...\n", | |
| " ... \n", | |
| "8216 Black or African American (Not Hispanic or Lat...\n", | |
| "8217 Black or African American (Not Hispanic or Lat...\n", | |
| "8218 Black or African American (Not Hispanic or Lat...\n", | |
| "8219 Black or African American (Not Hispanic or Lat...\n", | |
| "8220 Black or African American (Not Hispanic or Lat...\n", | |
| "8221 Black or African American (Not Hispanic or Lat...\n", | |
| "8222 Black or African American (Not Hispanic or Lat...\n", | |
| "8223 Black or African American (Not Hispanic or Lat...\n", | |
| "8224 White (Not Hispanic or Latino)\n", | |
| "8225 White (Not Hispanic or Latino)\n", | |
| "8226 Black or African American (Not Hispanic or Lat...\n", | |
| "8227 Black or African American (Not Hispanic or Lat...\n", | |
| "8228 Black or African American (Not Hispanic or Lat...\n", | |
| "8229 Black or African American (Not Hispanic or Lat...\n", | |
| "8230 Black or African American (Not Hispanic or Lat...\n", | |
| "8231 Hispanic or Latino of any race\n", | |
| "8232 White (Not Hispanic or Latino)\n", | |
| "8233 Hispanic or Latino of any race\n", | |
| "8234 White (Not Hispanic or Latino)\n", | |
| "8235 Black or African American (Not Hispanic or Lat...\n", | |
| "8236 Black or African American (Not Hispanic or Lat...\n", | |
| "8237 Black or African American (Not Hispanic or Lat...\n", | |
| "8238 White (Not Hispanic or Latino)\n", | |
| "8239 White (Not Hispanic or Latino)\n", | |
| "8240 Black or African American (Not Hispanic or Lat...\n", | |
| "8241 Black or African American (Not Hispanic or Lat...\n", | |
| "8242 Asian (Not Hispanic or Latino)\n", | |
| "8243 White (Not Hispanic or Latino)\n", | |
| "8244 White (Not Hispanic or Latino)\n", | |
| "8245 White (Not Hispanic or Latino)\n", | |
| "Name: ethnic.origin, dtype: object" | |
| ] | |
| }, | |
| "execution_count": 17, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df['ethnic.origin'].pipe(Categorical)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 33, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "[NbConvertApp] Converting notebook Untitled1.ipynb to html\n", | |
| "[NbConvertApp] Writing 381303 bytes to Untitled1.html\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "!jupyter nbconvert Untitled1.ipynb" | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.5.3" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 2 | |
| } |
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