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September 27, 2017 00:00
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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": 48, | |
| "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": 48, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df.describe(percentiles=list()).T" | |
| ] | |
| }, | |
| { | |
| "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": 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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| " this.supports_binary = (this.ws.binaryType != undefined);\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", | |
| "\n", | |
| " this.imageObj = new Image();\n", | |
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| " this.ws.onmessage = this._make_on_message_function(this);\n", | |
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| " var titlebar = $(\n", | |
| " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", | |
| " 'ui-helper-clearfix\"/>');\n", | |
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| " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", | |
| " 'text-align: center; padding: 3px;\"/>');\n", | |
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| "\tthis.context.oBackingStorePixelRatio ||\n", | |
| "\tthis.context.backingStorePixelRatio || 1;\n", | |
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| " 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": 18, | |
| "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>name</th>\n", | |
| " <th>age</th>\n", | |
| " <th>sex</th>\n", | |
| " <th>job.title</th>\n", | |
| " <th>organization</th>\n", | |
| " <th>annual.salary</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>ethnic.origin</th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>American Indian or Alaska Native (Not Hispanic or Latino)</th>\n", | |
| " <td>13</td>\n", | |
| " <td>13</td>\n", | |
| " <td>13</td>\n", | |
| " <td>13</td>\n", | |
| " <td>13</td>\n", | |
| " <td>13</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Asian (Not Hispanic or Latino)</th>\n", | |
| " <td>103</td>\n", | |
| " <td>103</td>\n", | |
| " <td>103</td>\n", | |
| " <td>103</td>\n", | |
| " <td>103</td>\n", | |
| " <td>103</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Black or African American (Not Hispanic or Latino)</th>\n", | |
| " <td>6304</td>\n", | |
| " <td>6304</td>\n", | |
| " <td>6304</td>\n", | |
| " <td>6304</td>\n", | |
| " <td>6304</td>\n", | |
| " <td>6304</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Hispanic or Latino of any race</th>\n", | |
| " <td>170</td>\n", | |
| " <td>170</td>\n", | |
| " <td>170</td>\n", | |
| " <td>170</td>\n", | |
| " <td>170</td>\n", | |
| " <td>170</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Native Hawaiian or Other Pacific</th>\n", | |
| " <td>2</td>\n", | |
| " <td>2</td>\n", | |
| " <td>2</td>\n", | |
| " <td>2</td>\n", | |
| " <td>2</td>\n", | |
| " <td>2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Two or More Races (Not Hispanic or Latino)</th>\n", | |
| " <td>12</td>\n", | |
| " <td>12</td>\n", | |
| " <td>12</td>\n", | |
| " <td>12</td>\n", | |
| " <td>12</td>\n", | |
| " <td>12</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>White (Not Hispanic or Latino)</th>\n", | |
| " <td>1642</td>\n", | |
| " <td>1642</td>\n", | |
| " <td>1642</td>\n", | |
| " <td>1642</td>\n", | |
| " <td>1642</td>\n", | |
| " <td>1642</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " name age sex \\\n", | |
| "ethnic.origin \n", | |
| "American Indian or Alaska Native (Not Hispanic ... 13 13 13 \n", | |
| "Asian (Not Hispanic or Latino) 103 103 103 \n", | |
| "Black or African American (Not Hispanic or Latino) 6304 6304 6304 \n", | |
| "Hispanic or Latino of any race 170 170 170 \n", | |
| "Native Hawaiian or Other Pacific 2 2 2 \n", | |
| "Two or More Races (Not Hispanic or Latino) 12 12 12 \n", | |
| "White (Not Hispanic or Latino) 1642 1642 1642 \n", | |
| "\n", | |
| " job.title organization \\\n", | |
| "ethnic.origin \n", | |
| "American Indian or Alaska Native (Not Hispanic ... 13 13 \n", | |
| "Asian (Not Hispanic or Latino) 103 103 \n", | |
| "Black or African American (Not Hispanic or Latino) 6304 6304 \n", | |
| "Hispanic or Latino of any race 170 170 \n", | |
| "Native Hawaiian or Other Pacific 2 2 \n", | |
| "Two or More Races (Not Hispanic or Latino) 12 12 \n", | |
| "White (Not Hispanic or Latino) 1642 1642 \n", | |
| "\n", | |
| " annual.salary \n", | |
| "ethnic.origin \n", | |
| "American Indian or Alaska Native (Not Hispanic ... 13 \n", | |
| "Asian (Not Hispanic or Latino) 103 \n", | |
| "Black or African American (Not Hispanic or Latino) 6304 \n", | |
| "Hispanic or Latino of any race 170 \n", | |
| "Native Hawaiian or Other Pacific 2 \n", | |
| "Two or More Races (Not Hispanic or Latino) 12 \n", | |
| "White (Not Hispanic or Latino) 1642 " | |
| ] | |
| }, | |
| "execution_count": 18, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df.pipe(\n", | |
| " lambda df: df.groupby('ethnic.origin')\n", | |
| ").count()" | |
| ] | |
| }, | |
| { | |
| "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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