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Analysis of a Personal Public Talk - Exploratory Jupyter Notebook
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"import pandas as pd\n",
"import numpy as np\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.dates as md\n",
"import time\n",
"import json\n",
"import nltk\n",
"from collections import Counter\n",
"\n",
"sns.set_context(\"paper\")\n",
"%matplotlib notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This notebook is part of an article I wrote: [Analysis of a Personal Public Talk](https://medium.com/@5agado/analysis-of-a-personal-public-talk-9218c429e172#.ldi63adlc). If you interested in a general overview of the project you can refer to such article. \n",
"\n",
"I'm here going to show the techniques and code used to operate my analysis on heart-rate and speech data."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Heart-Rate Analysis\n",
"In this section, I am going to provide an overview of my heart-rate measurements as recorded by my Fitbit Charge HR during the day and talk. \n",
"\n",
"I used the code and solution mentioned in [my other project](https://medium.com/@5agado/a-quest-for-better-sleep-with-fitbit-data-analysis-5f10b3f548a#.a7vykskjy) for getting and cleaning the Fitbit heart-rate data. I here attached just the cleaned version for the specific data, so the code can be tested without additional dependencies.\n",
"\n",
"I'm not a big fan of \"playing around with matplotlib setting\", so I rely on quick and dirty ways to obtain the plots I want, without bothering too much on portability or alternative approaches. I nevertheless welcome all suggestions and feedback."
]
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"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>heart-rate</th>\n",
" </tr>\n",
" <tr>\n",
" <th>time</th>\n",
" <th></th>\n",
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" <tr>\n",
" <th>00:00:00</th>\n",
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" <td>68</td>\n",
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"text/plain": [
" heart-rate\n",
"time \n",
"00:00:00 67\n",
"00:01:00 68\n",
"00:02:00 68\n",
"00:03:00 70\n",
"00:04:00 70"
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"metadata": {},
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"source": [
"# Load heart-rate data\n",
"# We use parse_dates and custom parser in order to have a ready to use datetime.time type\n",
"data = pd.read_csv('2016-12-03_hearth-rate.csv', parse_dates=['time'], index_col='time',\n",
" date_parser = lambda x : pd.datetime.strptime(x, '%H:%M:%S').time())\n",
"data.head()"
]
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"data": {
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"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>heart-rate</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>1440.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>80.536806</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>14.945722</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>53.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>70.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>81.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>89.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>134.000000</td>\n",
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"text/plain": [
" heart-rate\n",
"count 1440.000000\n",
"mean 80.536806\n",
"std 14.945722\n",
"min 53.000000\n",
"25% 70.000000\n",
"50% 81.000000\n",
"75% 89.000000\n",
"max 134.000000"
]
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"execution_count": 3,
"metadata": {},
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"source": [
"data.describe()"
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" var button = $('<button/>');\n",
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"\n",
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"\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;\n",
" var y = canvas_pos.y;\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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",
" 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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
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\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Plot entire day data\n",
"ax = data.plot(color='tomato', linewidth=1.5)\n",
"ax.set_xlabel('')\n",
"ax.xaxis.set_ticks(np.arange(0, 24*60*60, 3*60*60))\n",
"# Disaligned first label really bothers me. We can hide it with this line\n",
"ax.xaxis.get_major_ticks()[0].label1.set_visible(False)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\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",
" 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 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);\n",
" canvas.attr('height', height);\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'];\n",
" var y0 = fig.canvas.height - msg['y0'];\n",
" var x1 = msg['x1'];\n",
" var y1 = fig.canvas.height - msg['y1'];\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;\n",
" var y = canvas_pos.y;\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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",
" 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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<img 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\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Consider only the specific time interval (betwen 18.00 and 20.00)\n",
"ax = data.plot(color='tomato', linewidth=2)\n",
"ax.set_xlabel('')\n",
"ax.xaxis.set_ticks(np.arange(0, 24*60*60, 30*60))\n",
"ax.set_xlim([18*60*60,20*60*60])\n",
"ax.set_ylim([70,140])\n",
"\n",
"label_y_pos = 142\n",
"# Locator lines add basic information for main events\n",
"# A:arrived, B-C:first speaker talk, C:start of my talk, D:Q&A, E:last talk \n",
"lines = [('18:20:00', 'A'), ('18:35:00', 'B'), ('18:47:00', 'C'), ('19:10:00', 'D'), ('19:30:00', 'E')]\n",
"for t in lines:\n",
" x_pos = data.index.get_loc(pd.datetime.strptime(t[0], '%H:%M:%S').time())\n",
" ax.axvline(x_pos*60, linewidth=1)\n",
" ax.text(x_pos*60-60, label_y_pos, t[1])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Speech To Text\n",
"To convert my audio file to text I used [IBM Watson Speech-to-Text service](http://www.ibm.com/watson/developercloud/speech-to-text.html), which accompanies each recognized word by a confidence level, start and end time. I also relied on the [official Watson Python SDK](https://github.com/watson-developer-cloud/python-sdk) to interact with the APIs.\n",
"\n",
"Once you add the SDK to your dependencies, just run the following code to convert your audio file (loading and recognition might be tweaked depending on file format and results requirements)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"from watson_developer_cloud import SpeechToTextV1\n",
"\n",
"# Instantiate the service using your credentials\n",
"service = SpeechToTextV1( \n",
" username='YOUR_SERVICE_USERNAME',\n",
" password='YOUR_SERVICE_PASSWORD'\n",
")\n",
"\n",
"# Load your audio file, feed it to the service and store the results\n",
"with open(\"talk.ogg\", 'rb') as audio_file:\n",
" res = service.recognize(audio_file, content_type='audio/ogg;codecs=opus',\n",
" continuous=True, word_confidence=True, timestamps=True,\n",
" interim_results=False)\n",
"\n",
"# Locally save the results for later use\n",
"with open(\"speech_to_text_res.txt\", 'w+') as f:\n",
" f.write(json.dumps(res))\n",
"#print(json.dumps(res['results'][0]['alternatives'][0], indent=2))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Text Analysis"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Load previously saved speech-to-text results\n",
"with open(\"speech_to_text_res.txt\", 'r') as f:\n",
" res = json.load(f)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>word</th>\n",
" <th>time_start</th>\n",
" <th>time_end</th>\n",
" <th>confidence</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>everyone</td>\n",
" <td>0.13</td>\n",
" <td>0.47</td>\n",
" <td>0.218784</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>for</td>\n",
" <td>0.47</td>\n",
" <td>0.64</td>\n",
" <td>0.553535</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>being</td>\n",
" <td>0.64</td>\n",
" <td>0.92</td>\n",
" <td>0.520986</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>here</td>\n",
" <td>0.92</td>\n",
" <td>1.30</td>\n",
" <td>0.515787</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>as</td>\n",
" <td>1.34</td>\n",
" <td>1.61</td>\n",
" <td>0.734724</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" word time_start time_end confidence\n",
"0 everyone 0.13 0.47 0.218784\n",
"1 for 0.47 0.64 0.553535\n",
"2 being 0.64 0.92 0.520986\n",
"3 here 0.92 1.30 0.515787\n",
"4 as 1.34 1.61 0.734724"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# There is some useful data provided by the Watson service, so we might be interested\n",
"# in extracting and storing our results in a handy Pandas dataframe\n",
"dfs = []\n",
"# For some reasons results are chunked, so we loop on all and extract our data\n",
"# Each recognized word is accompanied by a start and end time, as weel as a confidence level\n",
"for r in res['results']:\n",
" df = pd.DataFrame(r['alternatives'][0]['timestamps'], columns=['word', 'time_start', 'time_end'])\n",
" df['confidence'] = [x[1] for x in r['alternatives'][0]['word_confidence']]\n",
" dfs.append(df)\n",
"# Concatenate all results to obtain a single final dataframe\n",
"df = pd.concat(dfs, ignore_index=True)\n",
"df.to_csv('text_df.csv', index=False)\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>time_start</th>\n",
" <th>time_end</th>\n",
" <th>confidence</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>3358.000000</td>\n",
" <td>3358.000000</td>\n",
" <td>3358.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>637.831525</td>\n",
" <td>638.117996</td>\n",
" <td>0.503846</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>379.092845</td>\n",
" <td>379.099976</td>\n",
" <td>0.312730</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>0.130000</td>\n",
" <td>0.470000</td>\n",
" <td>0.004485</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>309.047500</td>\n",
" <td>309.670000</td>\n",
" <td>0.229432</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>633.185000</td>\n",
" <td>633.535000</td>\n",
" <td>0.453840</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>962.402500</td>\n",
" <td>962.545000</td>\n",
" <td>0.788363</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>1309.870000</td>\n",
" <td>1310.300000</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" time_start time_end confidence\n",
"count 3358.000000 3358.000000 3358.000000\n",
"mean 637.831525 638.117996 0.503846\n",
"std 379.092845 379.099976 0.312730\n",
"min 0.130000 0.470000 0.004485\n",
"25% 309.047500 309.670000 0.229432\n",
"50% 633.185000 633.535000 0.453840\n",
"75% 962.402500 962.545000 0.788363\n",
"max 1309.870000 1310.300000 1.000000"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.describe()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Compute some basic stats\n",
"\n",
"# First let's remove the %HESITATION entries and keep a clean speech dataframe\n",
"clean_df = df[df['word']!='%HESITATION']\n",
"words = clean_df['word'].values\n",
"total_minutes = df['time_end'].values[-1]/60\n",
"transcript = \" \".join(words)\n",
"tokens_count = len(words)\n",
"speech_rate = tokens_count/total_minutes\n",
"types_count = len(set(words))\n",
"lexical_richness = (types_count/tokens_count)*100"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Here a summary of the conversation. Overall 3315 words have been said, of which 951 unique ones, \n",
"giving a lexical richness of 28.69%. \n",
"With the talk total duration of 21.8 minutes, the speech rate is of 152 Words Per Minute (WPM).\n"
]
}
],
"source": [
"summary = \"\"\"Here a summary of the conversation. Overall {} words have been said, of which {} unique ones, \n",
"giving a lexical richness of {:.2f}%. \n",
"With the talk total duration of {:.1f} minutes, the speech rate is of {:.0f} Words Per Minute (WPM).\"\"\".format(tokens_count,\n",
" types_count, lexical_richness, total_minutes, speech_rate)\n",
"print(summary)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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" 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",
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" 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",
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"\n",
" this.image_mode = 'full';\n",
"\n",
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"\n",
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" // Full images could contain transparency (where diff images\n",
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" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
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"\n",
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"}\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",
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"\n",
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"\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 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",
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" 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",
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"\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",
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"\n",
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"\n",
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" canvas_div.css('width', width)\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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" function toolbar_event(event) {\n",
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" }\n",
" function toolbar_mouse_event(event) {\n",
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" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
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" // 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",
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"\n",
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"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
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"\n",
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" this.format_dropdown = fmt_picker[0];\n",
"\n",
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" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
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" }\n",
"\n",
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" 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'];\n",
" var y0 = fig.canvas.height - msg['y0'];\n",
" var x1 = msg['x1'];\n",
" var y1 = fig.canvas.height - msg['y1'];\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;\n",
" var y = canvas_pos.y;\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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",
" 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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
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"<IPython.core.display.Javascript object>"
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\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Most common N-grams\n",
"words_count = Counter(words)\n",
"most_common_words = words_count.most_common(20)\n",
"most_common_bigrams = Counter(nltk.bigrams(words)).most_common(5)\n",
"most_common_trigrams = Counter(nltk.trigrams(words)).most_common(5)\n",
"\n",
"# Plot most common words\n",
"words, count = zip(*most_common_words)\n",
"sns.pointplot(x=words, y=count)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['see', 'know', 'mean', 'us', 'get', 'yeah', 'like', 'go', 'example', 'data']\n"
]
}
],
"source": [
"# Get most relevant words using TF-IDF\n",
"# For this statistic we need additional pieces of text to compare with our speech transcript\n",
"# we can simply load some corpora from NLTK \n",
"\n",
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"from nltk.corpus import stopwords\n",
"\n",
"# Load corpora for different genres\n",
"c1 = nltk.corpus.gutenberg.raw('carroll-alice.txt')\n",
"c2 = nltk.corpus.inaugural.raw(\"2009-Obama.txt\")\n",
"c3 = nltk.corpus.webtext.raw(\"firefox.txt\")\n",
"# Load english stopwords\n",
"stops = set(stopwords.words(\"english\"))\n",
"\n",
"# Compute TF-IDF matrix and print top results for our speech\n",
"vectorizer = TfidfVectorizer(analyzer='word',stop_words=stops)\n",
"tfIdf = vectorizer.fit_transform([transcript, c1, c2, c3]).toarray()\n",
"indices = np.argsort(tfIdf[0])[::-1]\n",
"features = vectorizer.get_feature_names()\n",
"top_features = [features[i] for i in indices[:10] if tfIdf[0][i]!=0]\n",
"print(top_features)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Alignments and Speech Rate"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\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",
" 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 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);\n",
" canvas.attr('height', height);\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'];\n",
" var y0 = fig.canvas.height - msg['y0'];\n",
" var x1 = msg['x1'];\n",
" var y1 = fig.canvas.height - msg['y1'];\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;\n",
" var y = canvas_pos.y;\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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",
" 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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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ALgCAUhb+JKBAPidHwJQR065+4QAwMRYt27da81sp6SnzOzLbdu+wcy+b2Z7zGzP3NzchTHGWUn7zGw+xnjdctdEANIWvmQgAH7nhwDUkVPuPiEAMDHM7CYzu6Z7++Mxxl82s00LbyNpc4zxshDCeWY2H0JYtdQ1EYC0hS8ZCIDf+SEAdeSUu08IAEyM1atXvzJ0B7qZ/acY4y2S9knaG2PcGEIIkp4Z317SZjO7ZKlrIgBpC18yEAC/80MA6sgpd58QAJg4ZvYWMztgZlc2TXNpCCFI+oqkN0s6tOB2t7Vte/lS10IA0ha+ZCAAfueHANSRU+4+IQAwUdq2fZuZHW7b9g0zMzMXjD8u6QOS3i/p4IKP3dU0zfqlrocApC18yUAA/M4PAagjp9x9QgBgYjRNs97Mnlu7du3qEEKQ9IWmaa7o3n4wxvjGGOOW7jkAqzoZWPI5AFt3Hh49Nv9iNbFt95HRHfc/mfWaOw6mff592w+MHnj02eK9WSyv1PomkVPu66bUWOP8TpVT6TlOuk9nU5+X2ZWe4bbdR0ZHj740Onbs+MRj8icdnBJJD5vZ8+Nn/ZvZhyXt7Z4DcGsIIQyHwzlJe83scIxxw3LX5BGANOMvGTwC4Hd+PAJQR065+1RqhjwCAGcFApC28CUDAfA7PwSgjpxy9wkBAFcgAGkLXzIQAL/zQwDqyCl3nxAAcAUCkLbwJQMB8Ds/BKCOnHL3CQEAVyAAaQtfMhAAv/NDAOrIKXefEABwBQKQtvAlAwHwOz8EoI6ccvcJAQBXIABpC18yEAC/80MA6sgpd58QAHAFApC28CUDAfA7PwSgjpxy9wkBAFcgAGkLXzIQAL/zQwDqyCl3nxAAcAUCkLbwJQMB8Ds/BKCOnHL3CQEAVyAAaQtfMhAAv/NDAOrIKXefEABwBQKQtvAlAwHwOz8EoI6ccvcJAQBXIABpC18yEAC/80MA6sgpd58QAHAFApC28CUDAfA7PwSgjpxy9wkBAFcgAGkLXzIQAL/zQwDqyCl3nxAAcAUCkLbwJQMB8Ds/BKCOnHL3CQEAVyAAaQtfMhAAv/NDAOrIKXefEABwBQKQtvAlAwHwOz8EoI6ccvcJAQBXIABpC18yEAC/80MA6sgpd58QAHAFApC28CUDAfA7PwSgjpxy9wkBAFcgAGkLXzIQAL/zQwDqyCl3nxAAcAUCkLbwJQMB8Ds/BKCOnHL3CQEAVyAAaQtfMhAAv/NDAOrIKXefEABwBQKQtvAlAwHwOz8EoI6ccvcJAQBXIABpC18yEAC/80MA6sgpd58QAHAFApC28CUDAfA7PwSgjpxy9wkBAFcgAGkLXzIQAL/zQwDqyCl3nxAAcAUCkLbwJQMB8Ds/BKCOnHL3CQEAVyAAaQtfMhAAv/NDAOrIKXefEACYGOvWrXutme2U9JSZfTnG+CpJu8xsv6QbQwghxjgraZ+ZzccYr1vumghA2sKXDATA7/wQgDpyyt0nBAAmhpndZGbXdG//lqSPSrq2e3/HYDBYI2lzjPGyEMJ5ZjYfQli11DURgLSFLxkIgN/5IQB15JS7TwgATIzVq1e/MnQHupl90sz+ajAYrAkhhBjjxrZtr5Z0cHx7SZvN7JKlrokApC18yUAA/M4PAagjp9x9QgBg4pjZWyQdlPTEzMzMBSGEIOmGGOMGSYcW3O62tm0vX+paCEDawpcMBMDv/BCAOnLK3ScEACZK27ZvM7PDw+FwRtL24XA4E0IIZrYpxnjVSY8A3NU0zfqlrocApC18yUAA/M4PAagjp9x9QgBgYjRNs97Mnlu7du3qEEKQdHPbtu8LIZwjadfc3NyFMcYt3XMAVnUysORzALbuPDx6bP7FamLb7iOjO+5/Mus1dxxM+/z7th8YPfDos8V7s1heqfVNIqfc102pscb5nSqn0nOcdJ/Opj4vsys9w227j4yOHn1pdOzY8YnHChx1cCokPWxmz3e/BbBH0nvMbIekQzHGjSGEMBwO5yTtNbPDMcYNy12TRwDSjL9k8AiA3/nxCEAdOeXuU6kZ8ggAnBUIQNrClwwEwO/8EIA6csrdJwQAXIEApC18yUAA/M4PAagjp9x9QgDAFQhA2sKXDATA7/wQgDpyyt0nBABcgQCkLXzJQAD8zg8BqCOn3H1CAMAVCEDawpcMBMDv/BCAOnLK3ScEAFyBAKQtfMlAAPzODwGoI6fcfUIAwBUIQNrClwwEwO/8EIA6csrdJwQAXIEApC18yUAA/M4PAagjp9x9QgDAFQhA2sKXDATA7/wQgDpyyt0nBABcgQCkLXzJQAD8zg8BqCOn3H1CAMAVCEDawpcMBMDv/BCAOnLK3ScEAFyBAKQtfMlAAPzODwGoI6fcfUIAwBUIQNrClwwEwO/8EIA6csrdJwQAXIEApC18yUAA/M4PAagjp9x9QgDAFQhA2sKXDATA7/wQgDpyyt0nBABcgQCkLXzJQAD8zg8BqCOn3H1CAMAVCEDawpcMBMDv/BCAOnLK3ScEAFyBAKQtfMlAAPzODwGoI6fcfUIAwBUIQNrClwwEwO/8EIA6csrdJwQAXIEApC18yUAA/M4PAagjp9x9QgDAFQhA2sKXDATA7/wQgDpyyt0nBABcgQCkLXzJQAD8zg8BqCOn3H1CAMAVCEDawpcMBMDv/BCAOnLK3ScEAFyBAKQtfMlAAPzODwGoI6fcfUIAwBUIQNrClwwEwO/8EIA6csrdJwQAXIEApC18yUAA/M4PAagjp9x9QgDAFQhA2sKXDATA7/wQgDpyyt0nBABcgQCkLXzJQAD8zg8BqCOn3H1CAMAVCEDawpcMBMDv/BCAOnLK3ScEAFYESbeb2ZVt277BzL5vZnvMbM/c3NyFMcZZSfvMbD7GeN1S10EA0ha+ZCAAfueHANSRU+4+IQAwac6V9JCkF8zsSknvMLNNC28gaXOM8bIQwnlmNh9CWLXYxRCAtIUvGQiA3/khAHXklLtPCABMlMFgcH7TNFfEGG8xsyvN7MOS9knaG2PcGEIIkp4Z317SZjO7ZLHrIQBpC18yEAC/80MA6sgpd58QAFgRYoy3dgJwZdM0l4YQgqSvSHqzpEPj25nZbW3bXr7YdRCAtIUvGQiA3/khAHXklLtPCACsCGMBmJmZuWD8MUkfkPR+SQcXfOyupmnWL3adrTsPjx6bf7Ga2Lb7yOiO+5/Mes0dB9M+/77tB0YPPPps8d4slldqfZPIKfd1U2qscX6nyqn0HCfdp7Opz8vsSs9w2+4jo6NHXxodO3Z84jHpsw1OgxjjrZLeJekLTdNcEUIIkh6MMb4xxrilew7Aqk4GeA7AhIy/ZPAIgN/58QhAHTnl7lOpGfIIwJQxfg7AcDick7S3ew7ArSGEMP6YmR2OMW5Y6joIQNrClwwEwO/8EIA6csrdJwQAXIEApC18yUAA/M4PAagjp9x9QgDAFQhA2sKXDATA7/wQgDpyyt0nBABcgQCkLXzJQAD8zg8BqCOn3H1CAMAVCEDawpcMBMDv/BCAOnLK3ScEAFyBAKQtfMlAAPzODwGoI6fcfUIAwBUIQNrClwwEwO/8EIA6csrdJwQAXIEApC18yUAA/M4PAagjp9x9QgDAFQhA2sKXDATA7/wQgDpyyt0nBABcgQCkLXzJQAD8zg8BqCOn3H1CAMAVCEDawpcMBMDv/BCAOnLK3ScEAFyBAKQtfMlAAPzODwGoI6fcfUIAwBUIQNrClwwEwO/8EIA6csrdJwQAXIEApC18yUAA/M4PAagjp9x9QgDAFQhA2sKXDATA7/wQgDpyyt0nBABcgQCkLXzJQAD8zg8BqCOn3H1CAMAVCEDawpcMBMDv/BCAOnLK3ScEAFyBAKQtfMlAAPzODwGoI6fcfUIAwBUIQNrClwwEwO/8EIA6csrdJwQAXIEApC18yUAA/M4PAagjp9x9QgDAFQhA2sKXDATA7/wQgDpyyt0nBABcgQCkLXzJQAD8zg8BqCOn3H1CAMAVCEDawpcMBMDv/BCAOnLK3ScEAFyBAKQtfMlAAPzODwGoI6fcfUIAwBUIQNrClwwEwO/8EIA6csrdJwQAXIEApC18yUAA/M4PAagjp9x9QgDAFQhA2sKXDATA7/wQgDpyyt0nBABcgQCkLXzJQAD8zg8BqCOn3H1CAMAVCEDawpcMBMDv/BCAOnLK3ScEAFYESbeb2ZUxxldJ2mVm+yXdGEIIMcZZSfvMbD7GeN1S10EA0ha+ZCAAfueHANSRU+4+IQAwac6V9JCkFzoB2Cjp2hBCMLMdg8FgjaTNMcbLQgjnmdl8CGHVYhdDANIWvmQgAH7nhwDUkVPuPiEAMFEGg8H5TdNcEWO8RdK7JG0fDAZrQgghxrixbdurJR0c317SZjO7ZLHrIQBpC18yEAC/80MA6sgpd58QAFgRYoy3dgLwxMzMzAUhhCDphhjjBkmHxrczs9vatr18sesgAGkLXzIQAL/zQwDqyCl3nxAAWBEWCMD24XA4E0IIZrYpxnjVSY8A3NU0zfrFrrN15+HRY/MvVhPbdh8Z3XH/k1mvueNg2ufft/3A6IFHny3em8XySq1vEjnlvm5KjTXO71Q5lZ7jpPt0NvV5mV3pGW7bfWR09OhLo2PHjk88VuJ8g2WIMd5qZlea2U1mdk0I4RxJu+bm5i6MMW7pngOwqpMBngMwIeMvGTwC4Hd+PAJQR065+1RqhjwCMGXEGG8xsysHg8FrzGyHpEMxxo0hhDAcDuck7TWzwzHGDUtdBwFIW/iSgQD4nR8CUEdOufuEAIArEIC0hS8ZCIDf+SEAdeSUu08IALgCAUhb+JKBAPidHwJQR065+4QAgCsQgLSFLxkIgN/5IQB15JS7TwgAuAIBSFv4koEA+J0fAlBHTrn7hACAKxCAtIUvGQiA3/khAHXklLtPCAC4AgFIW/iSgQD4nR8CUEdOufuEAIArEIC0hS8ZCIDf+SEAdeSUu08IALgCAUhb+JKBAPidHwJQR065+4QAgCsQgLSFLxkIgN/5IQB15JS7TwgAuAIBSFv4koEA+J0fAlBHTrn7hACAKxCAtIUvGQiA3/khAHXklLtPCAC4AgFIW/iSgQD4nR8CUEdOufuEAIArEIC0hS8ZCIDf+SEAdeSUu08IALgCAUhb+JKBAPidHwJQR065+4QAgCsQgLSFLxkIgN/5IQB15JS7TwgAuAIBSFv4koEA+J0fAlBHTrn7hACAKxCAtIUvGQiA3/khAHXklLtPCAC4AgFIW/iSgQD4nR8CUEdOufuEAIArEIC0hS8ZCIDf+SEAdeSUu08IALgCAUhb+JKBAPidHwJQR065+4QAgCsQgLSFLxkIgN/5IQB15JS7TwgAuAIBSFv4koEA+J0fAlBHTrn7hACAKxCAtIUvGQiA3/khAHXklLtPCAC4AgFIW/iSgQD4nR8CUEdOufuEAIArEIC0hS8ZCIDf+SEAdeSUu08IALgCAUhb+JKBAPidHwJQR065+4QAgCsQgLSFLxkIgN/5IQB15JS7TwgAuAIBSFv4koEA+J0fAlBHTrn7hADASnOOpP9pZnvMbI+kt0raZWb7Jd243CcjAGkLXzIQAL/zQwDqyCl3nxAAWFGappGku8bvxxg3Sro2hBDMbOdwOJxZ6vMRgLSFLxkIgN/5IQB15JS7TwgArCiS3mNmhyXtNbNPS9o+GAzWhBBCjPE/xBjfvdTnIwBpC18yEAC/80MA6sgpd58QAFhRYoz/LMb4zhBCkPQZScdnZmYu6N6/IcZ43VKfjwCkLXzJQAD8zg8BqCOn3H1CAGBFGQwG54cQzgshhLZtf97MvjZ+2N/MNsUYf3Gpz0cA0ha+ZCAAfueHANSRU+4+IQCwokj6WIzx17q3f8fMbjKza8KJJwfumpubu3Cpz9+68/DosfkXq4ltu4+M7rj/yazX3HEw7fPv235g9MCjzxbvzWJ5pdY3iZxyXzelxhrnd6qcSs9x0n06m/q8zK70DLftPjI6evSl0bFjxyceK8NsU/AAAAroSURBVHKwwekxGAxeY2Y7u98A+Py6detea2Y7JB2KMW5c7vN5BCDN+EsGjwD4nR+PANSRU+4+lZohjwDAWYEApC18yUAA/M4PAagjp9x9QgDAFQhA2sKXDATA7/wQgDpyyt0nBABcgQCkLXzJQAD8zg8BqCOn3H1CAMAVCEDawpcMBMDv/BCAOnLK3ScEAFyBAKQtfMlAAPzODwGoI6fcfUIAwBUIQNrClwwEwO/8EIA6csrdJwQAXIEApC18yUAA/M4PAagjp9x9QgDAFQhA2sKXDATA7/wQgDpyyt0nBABcgQCkLXzJQAD8zg8BqCOn3H1CAMAVCEDawpcMBMDv/BCAOnLK3ScEAFyBAKQtfMlAAPzODwGoI6fcfUIAwBUIQNrClwwEwO/8EIA6csrdJwQAXIEApC18yUAA/M4PAagjp9x9QgDAFQhA2sKXDATA7/wQgDpyyt0nBABcgQCkLXzJQAD8zg8BqCOn3H1CAMAVCEDawpcMBMDv/BCAOnLK3ScEAFyBAKQtfMlAAPzODwGoI6fcfUIAwBUIQNrClwwEwO/8EIA6csrdJwQAXIEApC18yUAA/M4PAagjp9x9QgDAFQhA2sKXDATA7/wQgDpyyt0nBABcgQCkLXzJQAD8zg8BqCOn3H1CAMAVCEDawpcMBMDv/BCAOnLK3ScEAFyBAKQtfMlAAPzODwGoI6fcfUIAwBUIQNrClwwEwO/8EIA6csrdJwQAXIEApC18yUAA/M4PAagjp9x9QgDAFQhA2sKXDATA7/wQgDpyyt0nBABcgQCkLXzJQAD8zg8BqCOn3H1CAMAVCEDawpcMBMDv/BCAOnLK3ScEAGrgPDP7kqSnJd2+1A0RgLSFLxkIgN/5IQB15JS7TwgAFKdt2/eZ2aYQQjCzP2ia5tLFbosApC18yUAA/M4PAagjp9x9QgCgOGb26RjjZd3b10j60GK3RQDSFr5kIAB+54cA1JFT7j4hAFAcM/uvMcZ/GEIIMcZflHTzYrdFANIWvmQgAH7nhwDUkVPuPiEAUBxJt0t6c/f2tZJuWOy2X3xkz+iB7fPVxJYHd49+53NfG937yHPZYtvuI0mff/sXdozuuGd31pxyxDiv1PomkVPu66bUWOP8TpVT6TlOuk9nU5+X2ZWe4Z1ffBoBgBPEGK+LMW4M4cRzAMzsTaVzAgAAgMmzysy+ZGbzMcbfL50MAAAAAAAAAAAAAAAAAAAAAAAAAOTltF8u2APr1q17rZntlPSUmX05xvgqSbvMbL+kG0MIIcY4K2lf9+TI60rnfDbEGN9rZlv7Wp+kz0raK+nxpmnW9bDGV0h6tNu7z/dxjpJuN7MrT7c2Sf9Y0kEzO9C27dvLZr884/rm5uaGkp6S9LSZfS6EftQXwt/WuOD9j0j63RD6U+NUcyYvF+wBM7vJzK7p3v4tSR+VdG33/o7BYLBG0ubuFRLPM7P5EMKqkjmfKRdffPFaSU90ArCxb/VJepekT4UQQtu2P29mm/pWY4zx3Wb2yRBCkHSPpJt7VOO5kh6S9EInAMvdR/eHE0L0R2Z2UScM+8qWsCQn17dl/HorMcb7mqa51Hl9IZxUYwghmNklkg6OBaAHNcKZvFywB1avXv3K0H2hNLNPmtlfDQaDNSGEEGPc2Lbt1ZIOjm8vabOZXVIo3bNC0kNN0/yMpG2SvtrD+j7Vydvjku6QtL1vNTZNI0l3hBCCpK/0aY6DweD8pmmuiDHe0sncsvPrvnN8ZvwxM9vZNM2rS+S/HAvrM7MrZ2dnXzf+N0lfbJpmvef6Qvj/a4wx/qSkbTHGf7lAAH5Uj8caIZzZywV7wsze0tnqEzMzMxeEEIKkG2KMGyQdWnC729q2vbxcpmeGpA+1bXv1cDic6wSgV/WFcOKRKEl3hhCCpN+TdLxvNQ6Hwzkz+7aZPS9pr5k92bcaY4y3dgKw5H00xvifm6b5uYUfk/RVM7uoRN6nS4zx1oUPj8cYf9nMHgkhBEnPLvi4y/pC+LEZ/l7TNJfGGP/5AgHoRY1Tjc7g5YK90Lbt28zs8HA4nJG0fTgczoQQgpltijFedZKd39U0zfpy2Z4ZOvHchj2SnpH0QzP7mz7VF0IIkn43xvhLIYTQfcfxaN9qNLPbYoy/2r19k6T/27caFxwey+7gcDj8Ryd9R7mrezSvWhYKgKR/bWZ71q5d+3e6993XF8KPzfBb3dedr0v68+6bxV7UONX07eWCm6ZZb2bPrV27dnUIIUi6uW3b94UQzpG0a25u7sIY45buxx6rujuxl5+t/ojuiXHbFjznoTf1xRh/acHD4x/raY23xhjf2739q5Ju7mONZnbl6c7PzHaY2UVN07y6e85D1YzrizG+08yenJ2d/akF/+a+vhBO+SjHjx4B6EuN006vXi5Y0sPdw6rj75TfY2Y7JB0ai0738PleMzscY9xQOuezoXsIeWu3aH2r71xJd0t6xsy2XnTRRT/dtxrXrVv3Wkl/qBO/6fBo27YX963G8c+PB4PBa06nthjjP9GJZ5AfNrN/UTb75RnX1/2o8evjrzlt2/5sH+oL4W9rXPD+jwSgLzUCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAEki6s3txle+a2fPdCzv9tpldH2N8Z67/x8w+d9FFF/10ruudCd0Lq9yz2L9L+kKM8SdXMicAAIAq6F6N7PpJXLtt25+V9IlJXPt06ATg7sX+vW3bt0n66ErmBAAAUAXd65Fff9L7v9LF1u71xw93r6n/R5L+dDgc/r0QTvxpYUn7zOzAwpc0HSPp4fEf2TGzD3Yv6/qMmX04hBC6P3Ayflnph7rvxs/RiT9/esjM/lvTND8XTrwe+sNmtt/MDjRNc0V3/T8xs8+Z2X5Jj4YQfmJubu7C7pp/LGn7WABijPd1Lw18qG3bt3cpnmNmRybZXwAAgCpZRACu7wTgayGc+DPJkh7u/v3fS/pI27a/YGb3hxDCzMzMBWb2zXDSH9SR9OchhJ/o3j40GAz+fgjhXDP7N93HnmnbNnbX/Q1JN0p6z4JDezbG+O86efhE97HXS/of4cTh/d2xYEh63MzeFGP8fUnXdh/7t5Lufv3rX/93zeybg8HgNU3TrFsoK2b2ZNM0mkRvAQAAqmUpAYgx3hpCCN3bt3T//msxxlsk/aaZfbv77v0pSX82GAwGC69tZi+O326aZn33XfhTZrYphBAkvWRme7o4IOkzkj4yFoQF1/kvC5+X0InDGxZeX9Ld3UP+u8cHetu2/3SBTLzbzL4maXeM8aoFn/eQuj/ZDQAAMDUsIwC3hLCoAPwrSZ/pPu1cM/t4COEVC69tZt9e8PanQ/cIgaT/3v3FxQODwWBNCCd+Ht/9+derzOwPuv9rtvtrmh+U9NshhDAcDme6g/9cM/vu+PqS7pH0VkmfNbNf6f7PX5d092AwWCPp5hB+9JcCX1jweY/Nzc0NM7UTAADAByc/CXD8fvfbAIsKQPfxT0t6WtKfxBh/4+Rrdz/X/wfdbX+9+zOmfyzps9213th997/fzJ6MMc52n/f57rkF82b2phDCK8zsAUlPm9nhtm1/obvmjz0CIOmt3Y8Inuj+nwcXPAKwxczmu2v8qF4zey57UwEAAKYZM3tLjPE/ls5jMSS9Y/zjCAAAAMiIpM1r165dXTqPUyHp7tnZ2Z8qnQcAAAAAAAAAAAAAAAAAAAAAAAAAAEB1/D9jO7hYHaCOsgAAAABJRU5ErkJggg==\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Visualize words count distribution across time. Quick way to spot possible speech rate trend\n",
"ax = sns.distplot(clean_df['time_end'], kde=False, bins=10)\n",
"ax.set_xlabel('Time (seconds)')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# More in dept analysis of speech trend\n",
"\n",
"# Bin the time_end entries and count word occurences for each bin\n",
"n_bins = 10\n",
"x_bins = np.arange(n_bins)\n",
"_, bins = pd.cut(clean_df['time_end'], bins=n_bins, retbins=True, right=False)\n",
"bins_word_count = clean_df['time_end'].groupby(np.digitize(clean_df['time_end'], bins)).count()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Slope = -5.230 (r = -0.890, p = 0.00056)\n",
"Bin size= 2.184 minutes\n"
]
},
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\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",
" 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 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);\n",
" canvas.attr('height', height);\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'];\n",
" var y0 = fig.canvas.height - msg['y0'];\n",
" var x1 = msg['x1'];\n",
" var y1 = fig.canvas.height - msg['y1'];\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;\n",
" var y = canvas_pos.y;\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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",
" 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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Use Scipy to fit our points in a regression model and obtain the regression coefficients\n",
"# For our case a bit cleaner that Sklearn alternative linear_model.LinearRegression()\n",
"from scipy import stats\n",
"\n",
"slope, intercept, r, p, _ = stats.linregress(x_bins, bins_word_count.values)\n",
"\n",
"print('Slope = {:.3f} (r = {:.3f}, p = {:.5f})'.format(slope, r, p))\n",
"print('Bin size= {:.3f} minutes'.format((df['time_end'].values[-1]/n_bins)/60))\n",
"\n",
"# Plot\n",
"plt.scatter(x_bins, bins_word_count.values, color='black')\n",
"plt.plot(x_bins, intercept + x_bins*slope, color='mediumblue', linewidth=3)\n",
"sns.barplot(y=bins_word_count.values, x=x_bins, color=\"salmon\", saturation=.5)\n",
"sns.plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Compute new features like pause between words, word length and speech rate at word level. \n",
"clean_df.loc[:, 'next_word_spacing'] = (clean_df['time_start'].shift(-1) - clean_df['time_end'])\n",
"clean_df.loc[:, 'word_speed'] = clean_df.apply(lambda x : (len(x['word'])/(x['time_end'] - x['time_start'])), axis=1)\n",
"clean_df.loc[:, 'word_len'] = clean_df.apply(lambda x : len(x['word']), axis=1)\n",
"clean_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>word_len</th>\n",
" <th>next_word_spacing</th>\n",
" <th>word_speed</th>\n",
" <th>word_count</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>3.925414</td>\n",
" <td>0.097707</td>\n",
" <td>17.015203</td>\n",
" <td>362</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>4.149425</td>\n",
" <td>0.096264</td>\n",
" <td>17.323505</td>\n",
" <td>348</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4.009009</td>\n",
" <td>0.111111</td>\n",
" <td>16.320852</td>\n",
" <td>333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4.228324</td>\n",
" <td>0.085145</td>\n",
" <td>16.283307</td>\n",
" <td>346</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>4.058462</td>\n",
" <td>0.111692</td>\n",
" <td>15.694626</td>\n",
" <td>325</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" word_len next_word_spacing word_speed word_count\n",
"1 3.925414 0.097707 17.015203 362\n",
"2 4.149425 0.096264 17.323505 348\n",
"3 4.009009 0.111111 16.320852 333\n",
"4 4.228324 0.085145 16.283307 346\n",
"5 4.058462 0.111692 15.694626 325"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Prepare averages of binned data\n",
"bin_indices = np.digitize(clean_df['time_end'], bins)\n",
"binned_df = clean_df[['word_len','next_word_spacing', 'word_speed', ]].groupby(bin_indices).mean()\n",
"binned_df['word_count'] = bins_word_count\n",
"binned_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" word_len next_word_spacing word_speed word_count\n",
"word_len 1.000000 0.168620 0.132477 -0.460278\n",
"next_word_spacing 0.168620 1.000000 -0.194362 -0.861282\n",
"word_speed 0.132477 -0.194362 1.000000 0.462469\n",
"word_count -0.460278 -0.861282 0.462469 1.000000\n"
]
},
{
"data": {
"application/javascript": [
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"\n",
"mpl.get_websocket_type = function() {\n",
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" 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",
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"\n",
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"\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",
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"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
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"\n",
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"\n",
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" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\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",
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"\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 rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
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"\n",
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" 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);\n",
" canvas.attr('height', height);\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'];\n",
" var y0 = fig.canvas.height - msg['y0'];\n",
" var x1 = msg['x1'];\n",
" var y1 = fig.canvas.height - msg['y1'];\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;\n",
" var y = canvas_pos.y;\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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",
" 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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
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PCP4kg03JJRSey3y+w83XpJLtZiHkFWiqu+dyJRSmjZt2tiq1nuXd0S9g5FSOnwt8v2pmy/PpVrMQ8gqEZGDROQgANcA+LKIHADgZACXd1nvXd4R9Q5GSunwtcj3p759ZS7VYh5COtH8htanUdVru6zzLu+IegcjpXT4WuT6U7delUu1mIeQTjTPkLxPRF6pqv+gqld2Wedd3hH1DkZK6fC1yPU/fufaXKrFPIR0oq7raSJyOIAvAzhi0qRJm3ZZ513eEfUORkrp8LXI9T/eOSeXajEPIZ1Q1fkl67zLO6LewUgpHb5rOtNTSumPd83NpVrMQ0gnmj+ud6mIfB7ACQBO6LLOu7wj6h2MlNLha5Hrf/qf+blUi3kI6YSIvF5EXg9gl8HHXdZ5l3dEvYORUjp8LXKdGxLyrEREpgL4iqrOU9Vze71er8s67/KOqHcwUkqHr0Wu/+kHi3KpFvMQ0gkAV6vqziKykYi8AcD1XdZ5l3dEvYORUjp8LXL9Tz9ckku1mIeQTgCYu6rPJ8K7vCPqHYyU0uFrket/+tFNuVSLeQjphIic07yZdS8AxwM4q8s67/KOqHcwUkqHr0Wu//HupblUi3kI6URd1y9S1T0BHAFgr5TSOl3WeZd3RL2DkVI6fC1y/ZnkkMU8hHQCwCxVvRLAP1dVtV3Xdd7lHVHvYKSUDl+LXP/jT27NpVrMQ8jqsC6A3QEsBfDLLgu8yzui3sFIKR2+FoH+x5/enku1mIeQTgA4TVWvEJFzVPUDVVVpl3Xe5R1R72CklA5fi1x/6t47cqkW8xDSCQAfBnCeql4A4GhV3bnLOu/yjqh3MFJKh69Frj/1s+/mUi3mIaQzIjK5rut9VHWBqt7eZY13eUfUOxgppcPXItO5ISHPSprf0HqBiBygqlsud9H6q1rnXd4R9Q5GSunwtcj1p37+vVyqxTyEdGW9lX1RVWevapF3eUfUOxgppcPXItSfuu/7uVSLeQh5RgCYs6rLvcs7ot7BSCkdvhb5/Ydf/DCXajEPIc8IPkPCDQml1F6L/P7DL+/OpVrMQ8gzghsSbkgopfZa5Pcf7v9xLtViHkKeEXzJhhsSSqm9Fvn9hwfuyaVazENIGxuOjY1toqpfGxsb22RsbGyTyZMnPw/AJSmlNG3atLFVLfYu74h6ByOldPhahPuTD96bS7WYh5BVIiJ7A5gD4CFVnQ1gTvPv8V3We5d3RL2DkVI6fC3y/clf/zyXajEPIZ0AsMvyn4+Pj7+4yzrv8o6odzBSSoevRa4/+Ztf5FIt5iGkEwAW1XW9U0opiciBqnpjl3Xe5R1R72CklA5fi1znhoQ8KxkbG5sE4HJVvQ3A8SKyUZd13uUdUe9gpJQOX4tcf/Kh+3OpFvMQ0gkROVJVF4jIDACLROQdXdZ5l3dEvYORUjp8LXL9yYcfzKVazENIJwB8IjW/Pr6qquer6pld1nmXd0S9g5FSOnwtcv33v/11LtViHkI60ev1NhaRfwLwL6q6W9uP+w7wLu+IegcjpXT4WuT67x95KJe6isOur6ozAdwA4KTlL1DV9wJYoqrXdu0QQv4MVZ3ZvJl1fl3XO7X9htYB3uUdUe9gpJQOX4tc//3vHs6lTnTMuq73UdWjUkpJVc+oqmq75qINASxKKa3TdMiXLO4TWQsYbEAG/wK4ocs67/KOqHcwUkqHr0Wu//7RR3KpEx1TVb8gIjs2H+8L4MMppdTv918O4LTB9QAstrhPZC1AVS8A8EFVvbGu630AzOqyzru8I+odjJTS4WuR60889mgudaJjquqZIrJ1SimJyNsAHJ1SSlVVvQ7Avw2uB2CJxX0iawHTpk0bE5EjATwuIoeJyIwu67zLO6LewUgpHb4Wuf7E44/nUic6JoCTALy6+fjdAA5OKSVV/avlnyFR1QUW94msBajqAgCfEZGDGjttSJ76+fcyXXPeft/D1EDvsqG0TYtcf/yJJ3KpEx1TRP5ORI5Madl7SFR1h+brGwFYmFJav3m25FSL+0TWAgBcVbLOu8Cj6V3cUfUuG0rbXNOZnpLNhiSltIGqzlTV+SJySl3Xr13uWZL9ASwBMFdEplrcJ7IW0PwY16mDZ0f4DAk3JJH0LhtK27TI9ccefyKXajEPIZ1Q1f1XtMs67wKPpndxR9W7bCht0yLXf/fY47lUi3kIMcW7wKPpXdxR9S4bStu0yOdHHns8l2oxDyGmeBd4NL2LO6reZUNpmxb5/PCjj+dSLeYhxBTvAo+md3FH1btsKG3TIp8f+t1juVSLeQgxxbvAo+ld3FH1LhtK27TI518/8lgu1WIeQkzxLvBoehd3VL3LhtI2LfL5V488lku1mIcQU7wLPJrexR1V77KhtE2LfH7gt4/lUi3mIcQU7wKPpndxR9W7bCht0yKfuSEhaxXeBR5N7+KOqnfZUNqmRT7f//CjuVSLeQgxxbvAo+ld3FH1LhtK27TI5188/Ggu1WIeQkzxLvBoehd3VL3LhtI2LfL5vocezaVazEPIhAA4G8BZK7PrMbwLPJrexR1V77KhtE2LjP/Zbx7NpVrMQ8iEiMjWIrK1ql5Y1/U+qloB2EtVz+16DO8Cj6Z3cUfVu2wobdMi4+/99e9yqRbzENIKgLnLf66q87uu9S7waHoXd1S9y4bSNtd8sqd0z69/l0u1mIeQVgCcBuCrInIYgK8DOKnrWu8Cj6Z3cUfVu2wobdMi23/yq9/lUi3mIaQTIrKtiOxdVdV2q7POu8Cj6V3cUfUuG0rbtMj1ux98JJdqMQ8hrVRVtb2qXqeqt4nIx+q63qfrWu8Cj6Z3cUfVu2wobdMi23/04CO5VIt5CGkFwNzp06dvAWBOr9fbWFVv7rrWu8Cj6V3cUfUuG0rbtMh2bkjIsw5VXdD8O7v5d17Xtd4FHk3v4o6qd9lQ2qZFtv/ggUdyqRbzENKKqn4AwBwA9wK4VERmdF3rXeDR9C7uqHqXDaVtWmT79+9/JJdqMQ8hnRgbG5ukqjvUdf2i1VnnXeDR9C7uqHqXDaVtWuT69+7/bS7VYh5CWuGbWkdH7+KOqnfZUNqmRbbf9cvf5lIt5iGkFb6pdXT0Lu6oepcNpW1aZPudv/htLtViHkJa4ZtaR0fv4o6qd9lQ2qZFtt9x329zqRbzENIK39Q6OnoXd1S9y4bSNi2y/ZmcMxbzENKJwZtaRWTy6qzzLvBoehd3VL3LhtI2LXL9tp8/nEu1mIeQVkTkzQDmAlgCYKGq7tx1rXeBR9O7uKPqXTaUtmmR7bf87KFcqsU8hLQCYOnUqVNfkFJKW2655QsBLO661rvAo+ld3FH1LhtK27TIdm5IyLMOAJdNmjRp0+bTDQF8s+ta7wKPpndxR9W7bCht0yLbb/7pQ7lUi3kIaQXArar6IIC5qnofgHtU9SZVvbFtrXeBR9O7uKPqXTaUtmmR7Tfe85tcqsU8hKwu667Olb0LPJrexR1V77KhtE2LMF/0k1/nUi3mIaQVEXk/gPeIyAwAt4rIMV3Xehd4NL2LO6reZUNpmxbZvuDHv8qlWsxDSCsAFqaU1lfV61JKafBvF7wLPJrexR1V77KhtE2LbJ/7o1/lUi3mIaQVAIvqut5DVb/Y6/V6AG7puta7wKPpXdxR9S4bStu0yPbrf/hgLtViHkJaEZHXi8jnm1+O9qGqql7XfH1q21rvAo+md3FH1btsKG3TItuv+8EDuVSLeQgpZvC3bVaFd4FH07u4o+pdNpS2aZHh13z/gVyqxTyEFANgTtt1vAs8mt7FHVXvsqG0TYsM/9b37s+lWsxDSDF8hoQbkih6lw2lbVpkODckJAzckHBDEkXvsqG0TYsMv+KuX+ZSLeYhpBi+ZMMNSRS9y4bSNi0y/LLv/jKXajEPIRMiIp8UkWNWZnOV1t/a6l3g0fQu7qh6lw2lbVpk/CV3/iKXajEPIRMCYPfGy0XkyLqudxWRwwBc1PUY3gUeTe/ijqp32VDapkXGX/yd+3KpFvMQ0sqKv5m1y0s1A7wLPJrexR1V77KhtM01n+wpXXT7z3OpFvMQ0gqAi1X1WFXdU0SOA3B+17XeBR5N7+KOqnfZUNqmRbZfcNvPc6kW8xDSSlVV2wPYS0SOFJF3pZTW67rWu8Cj6V3cUfUuG0rbtMj282/9WS7VYh5CWlHVeaVrvQs8mt7FHVXvsqG0zTWZ6QPO+/a9uVSLeQhpBcAtqno7gIsAzFLVC7uu9S7waHoXd1S9y4bSNi2y/dyl9+ZSLeYhpJV+vz/e7/fHq6qaPvi461rvAo+md3FH1btsKG3TItu5ISHPOqqq2gbA1ap6E4A5IrJt17XeBR5N7+KOqnfZUNqmRbZ/9eaf5lIt5iGkFQA3qGqVUkoiUgNY2HWtd4FH07u4o+pdNpS2aZHtX7npnlzq6tyOqn5RVeep6rlp5T8UsQGAb4vIVmvmnpGwrLgBUdX5Xdd6F3g0vYs7qt5lQ2mbaz7ZUzpjyU9yqV1vA8CrAZyeUkqq+nEReeeK1xGRzwK4lRsS0krzcs0FInK4qs4UkeO6rvUu8Gh6F3dUvcuG0jYtsv20xT/JpXa9DQCHqOq+KaUkIjsCOGmFy3cRkWMAnMUNCWlFVU9sNiV3AzhCRDbruta7wKPpXdxR9S4bStu0yPZTF/04lzrRMUXk/QAWAVgIYJGqPgVg95SWvR9RVc9Y7rqbAfivlNL6AM4Wka0t7ieJx7rN37VZCuCxrou8Czya3sUdVe+yobRNi1A/ZeHdudSutwHgkLqu90kpJRF5jaqeOLhMVfcc/LCEqv4CwJKU0voGd5VEAcBVABYD+LSq7jZlypTndl3rXeDR9C7uqHqXDaVtWmT7v8//US61623Udb0TgC+nlBKAo0Vk75Vdr3mGhC/ZkFVT1/UeAE4CMAvA6SKyX9e13gUeTe/ijqp32VDapkW2nzj3h7nU1bkdVf2Sqi5Q1ZkppfVEpBaRzy5/Hb6HhHRlnaqqtgNwhKpeC+DSrgu9Czya3sUdVe+yobRNi2A/4fof5FIt5iGkFVWdD+CEuq53TSltuDprvQs8mt7FHVXvsqG0TYts54aErFV4F3g0vYs7qt5lQ2mbFvn8udnfz6VazEOIKd4FHk3v4o6qd9lQ2qZFPn/m2v/JpVrMQ4gp3gUeTe/ijqp32VDapkU+f+rq7+VSLeYhxBTvAo+md3FH1btsKG3TIp+P+dZduVSLeQgxxbvAo+ld3FH1LhtK27TI56Ov+G4u1WIeQkzxLvBoehd3VL3LhtI2LfL5Y5ffmUu1mIcQU7wLPJrexR1V77KhtE2LfD7i0jtyqRbzEGKKd4FH07u4o+pdNpS2aZHPh/33d3KpFvMQYop3gUfTu7ij6l02lLZpkc+HXHx7LtViHkJM8S7waHoXd1S9y4bSNi3ymRsSslbhXeDR9C7uqD7whUPpmnYESjySFvl80EW35VIt5iHElGfyY2X0z/2Ld55C17DuxR3VESjxSFrk8z/OujWXajEPIaZ4F3g0vcs7ou7FHdURKPFIWuTzBy64JZdqMQ8hpngXeDS9yzui7sUd1REo8Uha5PMB5387l2oxDyGmeBd4NL3LO6LuxR3VESjxSFrk8/7nLc2lWsxDiCneBR5N7/KOqHtxR3UESjySFvm839duyqVazEOIKd4FHk3v8o6oe3FHdQRKPJIW+fzuc27MpVrMQ4gp3gUeTe/yjqh7cUd1BEo8khb5vPfZS3KpFvMQYop3gUfTu7wj6l7cUR2BEo+kRT7v9ZXFuVSLeQgxxbvAo+ld3hF1L+6ojkCJR9Iin7khIWsV3gUeTe/yjqh7cUd1BEo8khb5/I4zFuVSLeYhxBTvAo+md3lH1L24ozoCJR5Ji3x+6+kLc6kW8xBiineBR9O7vCPqXtxRHYESj6RFPr/lywtyqRbzEGKKd4FH07u8I+pe3FEdgRKPpEU+/82X5udSLeYhxBTvAo+md3lH1L24ozoCJR5Ji3x+0ynzcqkW8xDSiqr+6wqff7HrWu8Cj6ZFmuEAABBpSURBVKZ3eUfUvbijOgIlHsk1n+wp7Xry3FyqxTyETIiqvldVb1LVR1T1xubjmwF8vesxvAs8mt7lHVH34o7qCJR4JC0y/g0n3ZBLtZiHkFZEZO/Std4FHk3v8o6oe3FHdQRKPJJrMtMHvP4L1+dSLeYhpJW6rvdQ1StUdfbArmu9Czya3uUdUffijuoIlHgkLbJ9l8/PyaVazENIK6p6e13XMmXKlOcO7LrWu8Cj6V3eEXUv7qiOQIlH0iLbuSEhzzpU9UIR2ahkrXeBR9O7vCPqXtxRHYESj+SazvWUUnrdCbNzqRbzENIKgKWq+mDzptabVPXGrmu9Czya3uUdUffijuoIlHgkLbJ9p3+dnUu1mIcQU7wLPJre5R1R9+KO6giUeCQt8vm1n7sul2oxDyGtAJiz/BtaVfXKrmu9Czya3uUdUffijuoIlHgkLbJ9x89em0u1mIeQVgZvZJ08efLzROQ1AE7uuta7wKPpXd4RdS/uqI5AiUfSIttf/elrcqkW8xCyuqwDYEnXK3sXeDS9yzui7sUd1REo8UhahPkOn7o6l2oxDyGtDN7I2vx7l6p+ruta7wKPpnd5R9S9uKM6AiUeSYts3+7Yq3KpFvMQsjqsv7oLvAs8mt7lHVH34o7qCJR4JC0C/VXHfCuXajEPIa3Udf1GVb1ZVReo6m0i8uaua70LPJre5R1R9+KO6giUeCQtsp0bEvKsQ1UX9Hq9zVNKafr06VvwPSTckETSvbijOgIlHkmLbN/2E1fmUi3mIaSVFTcgABZ1Xetd4NH0Lu+Iuhd3VEegxCO55pM9pVd8/IpcqsU8hLQC4GAAcwH8B4AbROSgrmu9Czya3uUdUffijuoIlHgkLbL9r476Zi7VYh5CurBOVVXbq+oOAHZZnYXeBR5N7/KOqHtxR3UESjySFsH+8iO/mUu1mIeQVgCcJyIHNB8fDeCrXdd6F3g0vcs7ou7FHdURKPFIWmT7Xx5xeS7VYh5CWgGwcIXP53Rd613g0fQu74i6F3dUR6DEI7nmkz2lrT9yWS7VYh5CWgFwmYi8X0ReKSIHALik61rvAo+md3lH1L24ozoCJR5Ji2zf6rBLc6kW8xDSiohsBuCjAE5T1Y+IyGbN16e2rfUu8Gh6l3dE3Ys7qiNQ4pG0yPaXHnpJLtViHkKKUdXZbdfxLvBoepd3RN2LO6ojUOKRtMjwlxzy37lUi3kIKabLe0m8Czya3uUdUffijuoIlHgkLTJ8WBsSVf2iqs5T1XNTSustf5mIvL35O2kLROSVa/QOkrUHPkPCDUkE3Ys7qiNQ4pE0yfAPfSOX2vU2ALwawOkppaSqHxeRd65w+WIR2azf748DuGxN30eylsANCTckEXQv7qiOQIlH0iLDZcbFudSutwHgEFXdN6WURGRHACetcPlpdV1P6/f7Lwfw9TV9H8laAl+y4YYkgu7FHdURKPFIWmR4/U//lUud6Jgi8n4AiwAsBLBIVZ8CsHtKKVVVtY2qnrH89VX146r6CwAPiMjfWNxPEgAR+aSIHLMym6us23YM7wKPpnd5R9S9uKM6AiUeSYuMrz54US61620AOKSu631SSklEXqOqJw4u6/V6mwO4s9frbdz84dZvW9xPEgAAuzdeLiJH1nW9q4gcBuCirsfwLvBoepd3RN2LO6ojUOKRtMj43gdm5VK73kZd1zsB+HJKy37Tt4jsPbhMRDZq/njruimlDQDcsubvJQmFql63/Of8Ta3ckETSvbijOgIlHsk1n+wpjb9/Zi51dW5HVb+kqgtUdWZKaT0RqUXks81l+wNYDGDh4L0mhEwIgItV9VhV3VNEjgNwfte13gUeTe/yjqh7cUd1BEo8khbZPv3vz8ulWsxDSCtVVW0PYC8ROVJE3pVW+DnyVeFd4NH0Lu+Iuhd3VEegxCNpke3T9j83l2oxDyGtqOq80rXeBR5N7/KOqHtxR3UESjySazLTB0zd7+xcqsU8hLQC4BZVvR3ARQBmqeqFXdd6F3g0vcs7ou7FHdURKPFIWmQ7NyTkWUe/3x/v9/vjVVVNH3zcda13gUfTu7wj6l7cUR2BEo+kRbZv+Z4zc6kW8xDSSlVV2wC4WlVvAjBHRLbtuta7wKPpXd4RdS/uqI5AiUfSItvH9j09l2oxDyGtALhBVauUUhKRGsDCrmu9Czya3uUdUffijuoIlHgkLbL9xXufmku1mIeQVlbcgKjq/K5rvQs8mt7lHVH34o7qCJR4JNd8sqf0TM4bi3kIaaV5ueYCETlcVWeKyHFd13oXeDS9yzui7sUd1REo8UhaZPuUvf49l2oxDyGtqOqJzabkbgBHiMhmXdd6F3g0vcs7ou7FHdURKPFIWmT75D1OzKVazENIV9Zt/q7NUgCPdV3kXeDR9C7viLoXd1RHoMQjaRHqk95+Qi7VYh5CWgFwVfO3Bj6tqrtNmTLluV3Xehd4NL3LO6LuxR3VESjxSFpk+wvf+rlcqsU8hLRS1/UeAE4CMAvA6SKyX9e13gUeTe/yjqh7cUd1BEo8khbZ/oK3fCaXajEPIV1Yp6qq7QAcoarXAri060LvAo+md3lH1L24ozoCJR5Ji2DnhoQ861DV+QBOqOt615TShquz1rvAo+ld3hF1L+6ojkCJR9Ii27d486dyqRbzEGKKd4FH07u8I+pe3FEdgRKPpEU+b/7Xx+RSLeYhxBTvAo+md3lH1L24ozoCJR5Ji3x+/puOzqVazEOIKd4FHk3v8o6oe3FHdQRKPJIW+bzZG4/KpVrMQ4gp3gUeTe/yjqh7cUd1BEo8khb5vOnrP5pLtZiHEFO8Czya3uUdUffijuoIlHgkLfL5eTt/JJdqMQ8hpngXeDS9yzui7sUd1REo8Uha5PMmOx2aS7WYhxBTvAs8mt7lHVH34o7qCJR4JC3y+Tk7HpxLtZiHEFO8Czya3uUdUffijuoIlHgkLfJ54x1m5FIt5iHEFO8Cj6Z3eUfUvbijOgIlHkmLfOaGhKxVeBd4NL3LO6LuxR3VESjxSFrk80bbfTCXajEPIaZ4F3g0vcs7ou7FHdURKPFIWuTzhtsemEu1mIcQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCPEEwO4i8smVXaaq+4vIjGHPNCxEZO+U0oaGxz9IVd9rdfwBAD7a7/fHrW9nGKzq+9EKEdkawNnDvM1hM8zHdRjf84SQgDRBdczKLou+IQEwZ2xsbBOr4w9rQxKJVX0/WtFsSM4a5m0Om2E+rqp60zBuhxAyYqjq/JTSOnVd7wHgquZrJwK4GsBCADdUVbVNv98fB3CLqs6rqmp7ABer6nUALm/bkEydOvU5qnqBqs5W1Zm9Xm9jVd1fVWcCuEpVF0yfPn2Lod7xFeZcfpZp06aNrTgvgE+IyJFjY2OTACwCsAuAh1T1ays55HqqOi+llAB8GMBpzcez6rp+kYicA2AugKtFZKqIvB7AIlWdX9f1NADXDJxoQ6Kq+zZzLK7r+i3Nf5/rmzU3icgrm+t9CcC3ACwVkTc0Xzuxub154+PjLwZw9uD/8pvrz1XVc1NKqa7rXVX1ZgBXq+p8EdnK4r/BcvfL7Ptx8DgDWCgi708pJQC3AriseXze3NzeB1R1AYC5VVVtP9HXAJzWPFYXjvqGxPhx3ax5DBcCOC+ltA6AgwEsUdUFdV2/sbm9m1JKacqUKc8FMCellAAsVdULVfX2uq73EJG9VfURVf3X4TwyhJCRAcAJVVVtB+AkAItTSus25XNBSimpagXg6n6/P66qtzdr9lLVY1NKSUSObNuQNKX8web6B4rIDFXdH8CpzfE+07z84cJKZjlyhXn/KS3bZCwAcHld1zs162ZP9AyJql4gIpMBnKeqV6SU1lXVK1V1TwAnNNfZGcBXmqK8tLm9wwG8r5nlyxNtSADMAvCKXq+3uYi8vSmSO1NK61VVpQAu7vV6mw+OVVXV61T1TFXdYbCJquv6tSLyZgBnichWzcZk72a2ef1+fwqA66dOnfqClNIGqnqX9YbE8vtRRD5f1/UeKaX1AbynOd6DkyZN2nTq1KkvADC32XDOSSml6dOnb6Gq163sayKyLYCvppRSXdf7jPqGxPJxBfDRwQZPRA5oNjJzU0qp1+ttrqo3N7dxY0rLNiSqOrv52oMislFd19KcJ09fjxCyllHX9a4AjmgK7tMAdlfVu0Xk8MF1VPWmqqqmA7gopWXhpKp7Dta3bEgOAnCqqt7YPOMwH8C/DC5rjuf60sSKswB4fMV5m8tmqOptg3WreslGRA6o63qfZmNyDoDdAfxz81jv1VxnI1WdB2AXEfl8c8wvD57dEJEDJnpcxsfH+wDOBnCNiLyz3++Pi8g5y822OKW0gYicoqrnAjgPwFl1Xe8jIoctf6xmQ7L14JmS5jG5sNnkLF7ueudbb0gsvx/HxsYmqeoXmw3FjOY+zV3u/i1R1R0A3KuqswHMUdXbVvY1Edl78Dg2ZT7SGxLLxxXAaYPv2eY4OwD4j+U+X5BSWn/wDMnkyZOft9yG5OlnTVb8GiFk7WNDVb0WwOmquhuApQCOUNWZKaUkIjWAOU05zWq+9i4ROa75+LC2DYmIHFbX9T4ppVTX9U6qupsu9/6SEdmQPD3Lyuatqur5zdP9x4vIgc262ZMnT37eBMfcsnlG5WhV/QCApc3/oe4F4Pjmtt6gquc2z5CckFJKzWP/D83HJ6/iJZtjJ02atGlKaUMAS5v/PktTSuv0er2XArhERN4B4OTmWH8P4Oy6rl81eDmmqqo3icihK2xItmquP6s55txer7d5Wvaswp3WG5Jk+/34oV6v12vu361p2bNW96WUNtxyyy1fiGUv5UwePFvV6/U2FpGP1XX9ohW/1vy3/HpzrL1GfUOSbB/Xj4jIASmlBOBoLHs584aUnn5G6bbmenellNYRkde0bEhuNn0kCCGjC4BLRWS/5rXdx0RkMxE5rnl2YKGIbNs8lXths2Q9AOcDmAPgoraXbMbGxjZp/s/sBlWd3bxHY1Q3JDOal5lWnPdMEXlH86zGjc17L44HcMkqjnu7qu7cvITyy+bL6wA4C8veQ3J9r9frLb8hmTRp0qbNSzvXArh8FS/Z/C2Wvf9hjogc2BTJHc3T8AsAvGzatGljaN4P0Pz3+mYz14kAbgBwTVO2g5dszhpsOFT1wqqqpjcvKy1R1StU9faqqnSNPvgrv28m349VVb2ueTyuG1wHwD0AvglgsarunNLTz4TNU9WbBxvTlX0NwEmqOr95BmrUNyRmj6ssew/JJc31vtp87aBmA79E/v97cz4HYEmz0b6y+dqfvYwD4Ouq+kXjh4MQQogFKxTJGqPZqG2QlpXTHc2zMmHgywOEEBKLdZvX1mcv9zr7bBGZ6j2YNc2zEH9231NK6w/z+FYbEl32ht+lABYt/36DEafz96PyDZSrw1p7nhNCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBC1j7+H/ONz1f3/7lYAAAAAElFTkSuQmCC\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Correlation\n",
"corr = binned_df.corr()\n",
"print(corr)\n",
"# Plot masking the upper triangle\n",
"mask = np.zeros_like(corr, dtype=np.bool)\n",
"mask[np.triu_indices_from(mask)] = True\n",
"sns.heatmap(corr, mask=mask)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"word_len: slope = 0.014 (r = 0.400, p = 0.25255)\n",
"next_word_spacing: slope = 0.004 (r = 0.711, p = 0.02125)\n",
"word_speed: slope = -0.129 (r = -0.606, p = 0.06315)\n",
"word_count: slope = -5.230 (r = -0.890, p = 0.00056)\n"
]
},
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\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",
" 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 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);\n",
" canvas.attr('height', height);\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'];\n",
" var y0 = fig.canvas.height - msg['y0'];\n",
" var x1 = msg['x1'];\n",
" var y1 = fig.canvas.height - msg['y1'];\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;\n",
" var y = canvas_pos.y;\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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",
" 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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
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},
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"output_type": "display_data"
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\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Linear regression data for each new feature\n",
"for c in binned_df.columns:\n",
" slope, intercept, r, p, _ = stats.linregress(x_bins, binned_df[c])\n",
" print('{}: slope = {:.3f} (r = {:.3f}, p = {:.5f})'.format(c, slope, r, p))\n",
"\n",
"# Quick line plot via Pandas\n",
"binned_df.plot(subplots=True, layout=(4,1))\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\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",
" 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 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);\n",
" canvas.attr('height', height);\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'];\n",
" var y0 = fig.canvas.height - msg['y0'];\n",
" var x1 = msg['x1'];\n",
" var y1 = fig.canvas.height - msg['y1'];\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;\n",
" var y = canvas_pos.y;\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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",
" 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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
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"output_type": "display_data"
},
{
"data": {
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\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Scatter plot with linear regression\n",
"fig, axes = plt.subplots(3, sharey=False)\n",
"# Word Length\n",
"sns.regplot(y=binned_df['word_len'], x=x_bins, ax=axes[0])\n",
"axes[0].set_title('Word Length (chars)')\n",
"axes[0].set_ylabel('')\n",
"axes[0].get_xaxis().set_visible(False)\n",
"# Words Spacing\n",
"sns.regplot(y=binned_df['next_word_spacing'], x=x_bins, ax=axes[1])\n",
"axes[1].set_title('Words Spacing (seconds)')\n",
"axes[1].set_ylabel('')\n",
"axes[1].get_xaxis().set_visible(False)\n",
"# Word Speech Rate\n",
"sns.regplot(y=binned_df['word_speed'], x=x_bins, ax=axes[2])\n",
"axes[2].set_title('Word Speech Rate (chars per seconds)')\n",
"axes[2].set_xlabel('Bins')\n",
"axes[2].set_ylabel('')\n",
"axes[2].set_ylim([13,20])\n",
"\n",
"sns.plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\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",
" 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 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);\n",
" canvas.attr('height', height);\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'];\n",
" var y0 = fig.canvas.height - msg['y0'];\n",
" var x1 = msg['x1'];\n",
" var y1 = fig.canvas.height - msg['y1'];\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;\n",
" var y = canvas_pos.y;\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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",
" 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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Visualize HESITATION distributiona across time\n",
"sns.violinplot(x=df[df['word']=='%HESITATION']['time_start'].values, inner=\"stick\")\n",
"ax = sns.stripplot(x=df[df['word']=='%HESITATION']['time_start'].values, palette=\"Set2\")\n",
"ax.set_xlim(-500)\n",
"ax.set_xlabel('seconds')\n",
"sns.plt.show()"
]
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [conda env:fitbit-analyzer]",
"language": "python",
"name": "conda-env-fitbit-analyzer-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.1"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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