Last active
October 17, 2019 10:36
-
-
Save pieterdavid/ddb47786c59a4db7794f3a66b2588cc8 to your computer and use it in GitHub Desktop.
mplbplot examples
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "This notebook shows some examples of the 2-dimensional ROOT histogram ([TH2F](https://root.cern.ch/doc/master/classTH2F.html)) drawing methods in [matplotlib](http://matplotlib.org)\n", | |
| "using [mplbplot](https://github.com/pieterdavid/mplbplot)." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "The following lines set up the Jupyter notebook to show both the ROOT and matplotlib plots\n", | |
| "that are created \"inline\".\n", | |
| "\n", | |
| "The ROOT, matplotlib.pyplot, and mplbplot modules are also loaded. The `mplbplot.decorateAxes`\n", | |
| "API is chosen here because it is more consistent with the (recommended) object-oriented matplotlib\n", | |
| "API, but alternatives are available\n", | |
| "(see [the mplbplot README](https://github.com/pieterdavid/mplbplot/blob/master/README.rst))." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "ERROR:root:Line magic function `%jsroot` not found.\n" | |
| ] | |
| }, | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Welcome to JupyROOT 6.12/06\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%jsroot on\n", | |
| "%matplotlib notebook\n", | |
| "import ROOT\n", | |
| "from matplotlib import pyplot as plt\n", | |
| "import mplbplot.decorateAxes" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "We will need a `TH2F` object to play with, e.g. a small sample drawn from a distribution" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "f2 = ROOT.TF2(\"f2\",\"sin(x)*sin(y)/(x*y)\", 0., 5., 0., 5.)\n", | |
| "h2 = ROOT.TH2F(\"h2\", \"\", 20, -2.5, 2.5, 20, -2.5, 2.5)\n", | |
| "h2.FillRandom(\"f2\", 20000)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "The usually most intuitive way to draw such a histogram is with colors to indicate the bin height,\n", | |
| "which is known as the COL (COLZ to add a color bar witha scale next to it) option in ROOT\n", | |
| "(see [THistPainter](https://root.cern.ch/doc/master/classTHistPainter.html)\n", | |
| "for documentation on styling such histogram plots; the `TCanvas::Draw` call is needed for\n", | |
| "the JupyROOT notebook).\n", | |
| "Here the blackbody spectrum is used because it is very similar between ROOT and matplotlib,\n", | |
| "but many more high-quality, and often similar, options are available, both\n", | |
| "[in ROOT](https://root.cern.ch/doc/master/classTColor.html#C06)\n", | |
| "and [in matplotlib](http://matplotlib.org/examples/color/colormaps_reference.html)." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAArgAAAHYCAIAAAApvgy/AAAABmJLR0QAAAAAAAD5Q7t/AAAgAElE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\n", | |
| "text/plain": [ | |
| "<IPython.core.display.Image object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "cCOLZ = ROOT.TCanvas(\"cCOLZ\")\n", | |
| "ROOT.gStyle.SetOptStat(0) ## turn off stats box\n", | |
| "ROOT.gStyle.SetPalette(ROOT.kDarkBodyRadiator)\n", | |
| "h2.GetZaxis().SetRangeUser(0., 110.)\n", | |
| "h2.Draw(\"COLZ\")\n", | |
| "cCOLZ.Draw()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "The pcolor method in mplbplot does the same, using matplotlib's pcolor method:" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "application/javascript": [ | |
| "/* Put everything inside the global mpl namespace */\n", | |
| "window.mpl = {};\n", | |
| "\n", | |
| "\n", | |
| "mpl.get_websocket_type = function() {\n", | |
| " if (typeof(WebSocket) !== 'undefined') {\n", | |
| " return WebSocket;\n", | |
| " } else if (typeof(MozWebSocket) !== 'undefined') {\n", | |
| " return MozWebSocket;\n", | |
| " } else {\n", | |
| " alert('Your browser does not have WebSocket support.' +\n", | |
| " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", | |
| " 'Firefox 4 and 5 are also supported but you ' +\n", | |
| " 'have to enable WebSockets in about:config.');\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", | |
| " this.id = figure_id;\n", | |
| "\n", | |
| " this.ws = websocket;\n", | |
| "\n", | |
| " this.supports_binary = (this.ws.binaryType != undefined);\n", | |
| "\n", | |
| " if (!this.supports_binary) {\n", | |
| " var warnings = document.getElementById(\"mpl-warnings\");\n", | |
| " if (warnings) {\n", | |
| " warnings.style.display = 'block';\n", | |
| " warnings.textContent = (\n", | |
| " \"This browser does not support binary websocket messages. \" +\n", | |
| " \"Performance may be slow.\");\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.imageObj = new Image();\n", | |
| "\n", | |
| " this.context = undefined;\n", | |
| " this.message = undefined;\n", | |
| " this.canvas = undefined;\n", | |
| " this.rubberband_canvas = undefined;\n", | |
| " this.rubberband_context = undefined;\n", | |
| " this.format_dropdown = undefined;\n", | |
| "\n", | |
| " this.image_mode = 'full';\n", | |
| "\n", | |
| " this.root = $('<div/>');\n", | |
| " this._root_extra_style(this.root)\n", | |
| " this.root.attr('style', 'display: inline-block');\n", | |
| "\n", | |
| " $(parent_element).append(this.root);\n", | |
| "\n", | |
| " this._init_header(this);\n", | |
| " this._init_canvas(this);\n", | |
| " this._init_toolbar(this);\n", | |
| "\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " this.waiting = false;\n", | |
| "\n", | |
| " this.ws.onopen = function () {\n", | |
| " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", | |
| " fig.send_message(\"send_image_mode\", {});\n", | |
| " if (mpl.ratio != 1) {\n", | |
| " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", | |
| " }\n", | |
| " fig.send_message(\"refresh\", {});\n", | |
| " }\n", | |
| "\n", | |
| " this.imageObj.onload = function() {\n", | |
| " if (fig.image_mode == 'full') {\n", | |
| " // Full images could contain transparency (where diff images\n", | |
| " // almost always do), so we need to clear the canvas so that\n", | |
| " // there is no ghosting.\n", | |
| " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", | |
| " }\n", | |
| " fig.context.drawImage(fig.imageObj, 0, 0);\n", | |
| " };\n", | |
| "\n", | |
| " this.imageObj.onunload = function() {\n", | |
| " fig.ws.close();\n", | |
| " }\n", | |
| "\n", | |
| " this.ws.onmessage = this._make_on_message_function(this);\n", | |
| "\n", | |
| " this.ondownload = ondownload;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_header = function() {\n", | |
| " var titlebar = $(\n", | |
| " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", | |
| " 'ui-helper-clearfix\"/>');\n", | |
| " var titletext = $(\n", | |
| " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", | |
| " 'text-align: center; padding: 3px;\"/>');\n", | |
| " titlebar.append(titletext)\n", | |
| " this.root.append(titlebar);\n", | |
| " this.header = titletext[0];\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_canvas = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var canvas_div = $('<div/>');\n", | |
| "\n", | |
| " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", | |
| "\n", | |
| " function canvas_keyboard_event(event) {\n", | |
| " return fig.key_event(event, event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " canvas_div.keydown('key_press', canvas_keyboard_event);\n", | |
| " canvas_div.keyup('key_release', canvas_keyboard_event);\n", | |
| " this.canvas_div = canvas_div\n", | |
| " this._canvas_extra_style(canvas_div)\n", | |
| " this.root.append(canvas_div);\n", | |
| "\n", | |
| " var canvas = $('<canvas/>');\n", | |
| " canvas.addClass('mpl-canvas');\n", | |
| " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", | |
| "\n", | |
| " this.canvas = canvas[0];\n", | |
| " this.context = canvas[0].getContext(\"2d\");\n", | |
| "\n", | |
| " var backingStore = this.context.backingStorePixelRatio ||\n", | |
| "\tthis.context.webkitBackingStorePixelRatio ||\n", | |
| "\tthis.context.mozBackingStorePixelRatio ||\n", | |
| "\tthis.context.msBackingStorePixelRatio ||\n", | |
| "\tthis.context.oBackingStorePixelRatio ||\n", | |
| "\tthis.context.backingStorePixelRatio || 1;\n", | |
| "\n", | |
| " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", | |
| "\n", | |
| " var rubberband = $('<canvas/>');\n", | |
| " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", | |
| "\n", | |
| " var pass_mouse_events = true;\n", | |
| "\n", | |
| " canvas_div.resizable({\n", | |
| " start: function(event, ui) {\n", | |
| " pass_mouse_events = false;\n", | |
| " },\n", | |
| " resize: function(event, ui) {\n", | |
| " fig.request_resize(ui.size.width, ui.size.height);\n", | |
| " },\n", | |
| " stop: function(event, ui) {\n", | |
| " pass_mouse_events = true;\n", | |
| " fig.request_resize(ui.size.width, ui.size.height);\n", | |
| " },\n", | |
| " });\n", | |
| "\n", | |
| " function mouse_event_fn(event) {\n", | |
| " if (pass_mouse_events)\n", | |
| " return fig.mouse_event(event, event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " rubberband.mousedown('button_press', mouse_event_fn);\n", | |
| " rubberband.mouseup('button_release', mouse_event_fn);\n", | |
| " // Throttle sequential mouse events to 1 every 20ms.\n", | |
| " rubberband.mousemove('motion_notify', mouse_event_fn);\n", | |
| "\n", | |
| " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", | |
| " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", | |
| "\n", | |
| " canvas_div.on(\"wheel\", function (event) {\n", | |
| " event = event.originalEvent;\n", | |
| " event['data'] = 'scroll'\n", | |
| " if (event.deltaY < 0) {\n", | |
| " event.step = 1;\n", | |
| " } else {\n", | |
| " event.step = -1;\n", | |
| " }\n", | |
| " mouse_event_fn(event);\n", | |
| " });\n", | |
| "\n", | |
| " canvas_div.append(canvas);\n", | |
| " canvas_div.append(rubberband);\n", | |
| "\n", | |
| " this.rubberband = rubberband;\n", | |
| " this.rubberband_canvas = rubberband[0];\n", | |
| " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", | |
| " this.rubberband_context.strokeStyle = \"#000000\";\n", | |
| "\n", | |
| " this._resize_canvas = function(width, height) {\n", | |
| " // Keep the size of the canvas, canvas container, and rubber band\n", | |
| " // canvas in synch.\n", | |
| " canvas_div.css('width', width)\n", | |
| " canvas_div.css('height', height)\n", | |
| "\n", | |
| " canvas.attr('width', width * mpl.ratio);\n", | |
| " canvas.attr('height', height * mpl.ratio);\n", | |
| " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", | |
| "\n", | |
| " rubberband.attr('width', width);\n", | |
| " rubberband.attr('height', height);\n", | |
| " }\n", | |
| "\n", | |
| " // Set the figure to an initial 600x600px, this will subsequently be updated\n", | |
| " // upon first draw.\n", | |
| " this._resize_canvas(600, 600);\n", | |
| "\n", | |
| " // Disable right mouse context menu.\n", | |
| " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", | |
| " return false;\n", | |
| " });\n", | |
| "\n", | |
| " function set_focus () {\n", | |
| " canvas.focus();\n", | |
| " canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " window.setTimeout(set_focus, 100);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var nav_element = $('<div/>')\n", | |
| " nav_element.attr('style', 'width: 100%');\n", | |
| " this.root.append(nav_element);\n", | |
| "\n", | |
| " // Define a callback function for later on.\n", | |
| " function toolbar_event(event) {\n", | |
| " return fig.toolbar_button_onclick(event['data']);\n", | |
| " }\n", | |
| " function toolbar_mouse_event(event) {\n", | |
| " return fig.toolbar_button_onmouseover(event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " for(var toolbar_ind in mpl.toolbar_items) {\n", | |
| " var name = mpl.toolbar_items[toolbar_ind][0];\n", | |
| " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", | |
| " var image = mpl.toolbar_items[toolbar_ind][2];\n", | |
| " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", | |
| "\n", | |
| " if (!name) {\n", | |
| " // put a spacer in here.\n", | |
| " continue;\n", | |
| " }\n", | |
| " var button = $('<button/>');\n", | |
| " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", | |
| " 'ui-button-icon-only');\n", | |
| " button.attr('role', 'button');\n", | |
| " button.attr('aria-disabled', 'false');\n", | |
| " button.click(method_name, toolbar_event);\n", | |
| " button.mouseover(tooltip, toolbar_mouse_event);\n", | |
| "\n", | |
| " var icon_img = $('<span/>');\n", | |
| " icon_img.addClass('ui-button-icon-primary ui-icon');\n", | |
| " icon_img.addClass(image);\n", | |
| " icon_img.addClass('ui-corner-all');\n", | |
| "\n", | |
| " var tooltip_span = $('<span/>');\n", | |
| " tooltip_span.addClass('ui-button-text');\n", | |
| " tooltip_span.html(tooltip);\n", | |
| "\n", | |
| " button.append(icon_img);\n", | |
| " button.append(tooltip_span);\n", | |
| "\n", | |
| " nav_element.append(button);\n", | |
| " }\n", | |
| "\n", | |
| " var fmt_picker_span = $('<span/>');\n", | |
| "\n", | |
| " var fmt_picker = $('<select/>');\n", | |
| " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", | |
| " fmt_picker_span.append(fmt_picker);\n", | |
| " nav_element.append(fmt_picker_span);\n", | |
| " this.format_dropdown = fmt_picker[0];\n", | |
| "\n", | |
| " for (var ind in mpl.extensions) {\n", | |
| " var fmt = mpl.extensions[ind];\n", | |
| " var option = $(\n", | |
| " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", | |
| " fmt_picker.append(option)\n", | |
| " }\n", | |
| "\n", | |
| " // Add hover states to the ui-buttons\n", | |
| " $( \".ui-button\" ).hover(\n", | |
| " function() { $(this).addClass(\"ui-state-hover\");},\n", | |
| " function() { $(this).removeClass(\"ui-state-hover\");}\n", | |
| " );\n", | |
| "\n", | |
| " var status_bar = $('<span class=\"mpl-message\"/>');\n", | |
| " nav_element.append(status_bar);\n", | |
| " this.message = status_bar[0];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", | |
| " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", | |
| " // which will in turn request a refresh of the image.\n", | |
| " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.send_message = function(type, properties) {\n", | |
| " properties['type'] = type;\n", | |
| " properties['figure_id'] = this.id;\n", | |
| " this.ws.send(JSON.stringify(properties));\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.send_draw_message = function() {\n", | |
| " if (!this.waiting) {\n", | |
| " this.waiting = true;\n", | |
| " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", | |
| " }\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_save = function(fig, msg) {\n", | |
| " var format_dropdown = fig.format_dropdown;\n", | |
| " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", | |
| " fig.ondownload(fig, format);\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", | |
| " var size = msg['size'];\n", | |
| " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", | |
| " fig._resize_canvas(size[0], size[1]);\n", | |
| " fig.send_message(\"refresh\", {});\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", | |
| " var x0 = msg['x0'] / mpl.ratio;\n", | |
| " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", | |
| " var x1 = msg['x1'] / mpl.ratio;\n", | |
| " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", | |
| " x0 = Math.floor(x0) + 0.5;\n", | |
| " y0 = Math.floor(y0) + 0.5;\n", | |
| " x1 = Math.floor(x1) + 0.5;\n", | |
| " y1 = Math.floor(y1) + 0.5;\n", | |
| " var min_x = Math.min(x0, x1);\n", | |
| " var min_y = Math.min(y0, y1);\n", | |
| " var width = Math.abs(x1 - x0);\n", | |
| " var height = Math.abs(y1 - y0);\n", | |
| "\n", | |
| " fig.rubberband_context.clearRect(\n", | |
| " 0, 0, fig.canvas.width, fig.canvas.height);\n", | |
| "\n", | |
| " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", | |
| " // Updates the figure title.\n", | |
| " fig.header.textContent = msg['label'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", | |
| " var cursor = msg['cursor'];\n", | |
| " switch(cursor)\n", | |
| " {\n", | |
| " case 0:\n", | |
| " cursor = 'pointer';\n", | |
| " break;\n", | |
| " case 1:\n", | |
| " cursor = 'default';\n", | |
| " break;\n", | |
| " case 2:\n", | |
| " cursor = 'crosshair';\n", | |
| " break;\n", | |
| " case 3:\n", | |
| " cursor = 'move';\n", | |
| " break;\n", | |
| " }\n", | |
| " fig.rubberband_canvas.style.cursor = cursor;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_message = function(fig, msg) {\n", | |
| " fig.message.textContent = msg['message'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", | |
| " // Request the server to send over a new figure.\n", | |
| " fig.send_draw_message();\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", | |
| " fig.image_mode = msg['mode'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.updated_canvas_event = function() {\n", | |
| " // Called whenever the canvas gets updated.\n", | |
| " this.send_message(\"ack\", {});\n", | |
| "}\n", | |
| "\n", | |
| "// A function to construct a web socket function for onmessage handling.\n", | |
| "// Called in the figure constructor.\n", | |
| "mpl.figure.prototype._make_on_message_function = function(fig) {\n", | |
| " return function socket_on_message(evt) {\n", | |
| " if (evt.data instanceof Blob) {\n", | |
| " /* FIXME: We get \"Resource interpreted as Image but\n", | |
| " * transferred with MIME type text/plain:\" errors on\n", | |
| " * Chrome. But how to set the MIME type? It doesn't seem\n", | |
| " * to be part of the websocket stream */\n", | |
| " evt.data.type = \"image/png\";\n", | |
| "\n", | |
| " /* Free the memory for the previous frames */\n", | |
| " if (fig.imageObj.src) {\n", | |
| " (window.URL || window.webkitURL).revokeObjectURL(\n", | |
| " fig.imageObj.src);\n", | |
| " }\n", | |
| "\n", | |
| " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", | |
| " evt.data);\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " }\n", | |
| " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", | |
| " fig.imageObj.src = evt.data;\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " var msg = JSON.parse(evt.data);\n", | |
| " var msg_type = msg['type'];\n", | |
| "\n", | |
| " // Call the \"handle_{type}\" callback, which takes\n", | |
| " // the figure and JSON message as its only arguments.\n", | |
| " try {\n", | |
| " var callback = fig[\"handle_\" + msg_type];\n", | |
| " } catch (e) {\n", | |
| " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " if (callback) {\n", | |
| " try {\n", | |
| " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", | |
| " callback(fig, msg);\n", | |
| " } catch (e) {\n", | |
| " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", | |
| " }\n", | |
| " }\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", | |
| "mpl.findpos = function(e) {\n", | |
| " //this section is from http://www.quirksmode.org/js/events_properties.html\n", | |
| " var targ;\n", | |
| " if (!e)\n", | |
| " e = window.event;\n", | |
| " if (e.target)\n", | |
| " targ = e.target;\n", | |
| " else if (e.srcElement)\n", | |
| " targ = e.srcElement;\n", | |
| " if (targ.nodeType == 3) // defeat Safari bug\n", | |
| " targ = targ.parentNode;\n", | |
| "\n", | |
| " // jQuery normalizes the pageX and pageY\n", | |
| " // pageX,Y are the mouse positions relative to the document\n", | |
| " // offset() returns the position of the element relative to the document\n", | |
| " var x = e.pageX - $(targ).offset().left;\n", | |
| " var y = e.pageY - $(targ).offset().top;\n", | |
| "\n", | |
| " return {\"x\": x, \"y\": y};\n", | |
| "};\n", | |
| "\n", | |
| "/*\n", | |
| " * return a copy of an object with only non-object keys\n", | |
| " * we need this to avoid circular references\n", | |
| " * http://stackoverflow.com/a/24161582/3208463\n", | |
| " */\n", | |
| "function simpleKeys (original) {\n", | |
| " return Object.keys(original).reduce(function (obj, key) {\n", | |
| " if (typeof original[key] !== 'object')\n", | |
| " obj[key] = original[key]\n", | |
| " return obj;\n", | |
| " }, {});\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.mouse_event = function(event, name) {\n", | |
| " var canvas_pos = mpl.findpos(event)\n", | |
| "\n", | |
| " if (name === 'button_press')\n", | |
| " {\n", | |
| " this.canvas.focus();\n", | |
| " this.canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " var x = canvas_pos.x * mpl.ratio;\n", | |
| " var y = canvas_pos.y * mpl.ratio;\n", | |
| "\n", | |
| " this.send_message(name, {x: x, y: y, button: event.button,\n", | |
| " step: event.step,\n", | |
| " guiEvent: simpleKeys(event)});\n", | |
| "\n", | |
| " /* This prevents the web browser from automatically changing to\n", | |
| " * the text insertion cursor when the button is pressed. We want\n", | |
| " * to control all of the cursor setting manually through the\n", | |
| " * 'cursor' event from matplotlib */\n", | |
| " event.preventDefault();\n", | |
| " return false;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._key_event_extra = function(event, name) {\n", | |
| " // Handle any extra behaviour associated with a key event\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.key_event = function(event, name) {\n", | |
| "\n", | |
| " // Prevent repeat events\n", | |
| " if (name == 'key_press')\n", | |
| " {\n", | |
| " if (event.which === this._key)\n", | |
| " return;\n", | |
| " else\n", | |
| " this._key = event.which;\n", | |
| " }\n", | |
| " if (name == 'key_release')\n", | |
| " this._key = null;\n", | |
| "\n", | |
| " var value = '';\n", | |
| " if (event.ctrlKey && event.which != 17)\n", | |
| " value += \"ctrl+\";\n", | |
| " if (event.altKey && event.which != 18)\n", | |
| " value += \"alt+\";\n", | |
| " if (event.shiftKey && event.which != 16)\n", | |
| " value += \"shift+\";\n", | |
| "\n", | |
| " value += 'k';\n", | |
| " value += event.which.toString();\n", | |
| "\n", | |
| " this._key_event_extra(event, name);\n", | |
| "\n", | |
| " this.send_message(name, {key: value,\n", | |
| " guiEvent: simpleKeys(event)});\n", | |
| " return false;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", | |
| " if (name == 'download') {\n", | |
| " this.handle_save(this, null);\n", | |
| " } else {\n", | |
| " this.send_message(\"toolbar_button\", {name: name});\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", | |
| " this.message.textContent = tooltip;\n", | |
| "};\n", | |
| "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", | |
| "\n", | |
| "mpl.extensions = [\"eps\", \"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", | |
| " var width = fig.canvas.width/mpl.ratio\n", | |
| " fig.root.unbind('remove')\n", | |
| "\n", | |
| " // Update the output cell to use the data from the current canvas.\n", | |
| " fig.push_to_output();\n", | |
| " var dataURL = fig.canvas.toDataURL();\n", | |
| " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", | |
| " // the notebook keyboard shortcuts fail.\n", | |
| " IPython.keyboard_manager.enable()\n", | |
| " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", | |
| " fig.close_ws(fig, msg);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.close_ws = function(fig, msg){\n", | |
| " fig.send_message('closing', msg);\n", | |
| " // fig.ws.close()\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", | |
| " // Turn the data on the canvas into data in the output cell.\n", | |
| " var width = this.canvas.width/mpl.ratio\n", | |
| " var dataURL = this.canvas.toDataURL();\n", | |
| " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.updated_canvas_event = function() {\n", | |
| " // Tell IPython that the notebook contents must change.\n", | |
| " IPython.notebook.set_dirty(true);\n", | |
| " this.send_message(\"ack\", {});\n", | |
| " var fig = this;\n", | |
| " // Wait a second, then push the new image to the DOM so\n", | |
| " // that it is saved nicely (might be nice to debounce this).\n", | |
| " setTimeout(function () { fig.push_to_output() }, 1000);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var nav_element = $('<div/>')\n", | |
| " nav_element.attr('style', 'width: 100%');\n", | |
| " this.root.append(nav_element);\n", | |
| "\n", | |
| " // Define a callback function for later on.\n", | |
| " function toolbar_event(event) {\n", | |
| " return fig.toolbar_button_onclick(event['data']);\n", | |
| " }\n", | |
| " function toolbar_mouse_event(event) {\n", | |
| " return fig.toolbar_button_onmouseover(event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " for(var toolbar_ind in mpl.toolbar_items){\n", | |
| " var name = mpl.toolbar_items[toolbar_ind][0];\n", | |
| " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", | |
| " var image = mpl.toolbar_items[toolbar_ind][2];\n", | |
| " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", | |
| "\n", | |
| " if (!name) { continue; };\n", | |
| "\n", | |
| " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", | |
| " button.click(method_name, toolbar_event);\n", | |
| " button.mouseover(tooltip, toolbar_mouse_event);\n", | |
| " nav_element.append(button);\n", | |
| " }\n", | |
| "\n", | |
| " // Add the status bar.\n", | |
| " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", | |
| " nav_element.append(status_bar);\n", | |
| " this.message = status_bar[0];\n", | |
| "\n", | |
| " // Add the close button to the window.\n", | |
| " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", | |
| " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", | |
| " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", | |
| " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", | |
| " buttongrp.append(button);\n", | |
| " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", | |
| " titlebar.prepend(buttongrp);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function(el){\n", | |
| " var fig = this\n", | |
| " el.on(\"remove\", function(){\n", | |
| "\tfig.close_ws(fig, {});\n", | |
| " });\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function(el){\n", | |
| " // this is important to make the div 'focusable\n", | |
| " el.attr('tabindex', 0)\n", | |
| " // reach out to IPython and tell the keyboard manager to turn it's self\n", | |
| " // off when our div gets focus\n", | |
| "\n", | |
| " // location in version 3\n", | |
| " if (IPython.notebook.keyboard_manager) {\n", | |
| " IPython.notebook.keyboard_manager.register_events(el);\n", | |
| " }\n", | |
| " else {\n", | |
| " // location in version 2\n", | |
| " IPython.keyboard_manager.register_events(el);\n", | |
| " }\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._key_event_extra = function(event, name) {\n", | |
| " var manager = IPython.notebook.keyboard_manager;\n", | |
| " if (!manager)\n", | |
| " manager = IPython.keyboard_manager;\n", | |
| "\n", | |
| " // Check for shift+enter\n", | |
| " if (event.shiftKey && event.which == 13) {\n", | |
| " this.canvas_div.blur();\n", | |
| " 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 src=\"data:image/png;base64,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\" width=\"640\">" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.colorbar.Colorbar at 0x7f438275c4d0>" | |
| ] | |
| }, | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "fig,ax = plt.subplots(num=\"COLZ\")\n", | |
| "mp = ax.rpcolor(h2, cmap=\"afmhot\", vmin=0.)\n", | |
| "fig.colorbar(mp, ax=ax)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "The default number of ticks can be made to match a bit more using the following method" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "def ticks_like_root(axes):\n", | |
| " import matplotlib.ticker\n", | |
| " axes.xaxis.set_major_locator(matplotlib.ticker.MaxNLocator(nbins=12, min_n_tickes=5))\n", | |
| " axes.xaxis.set_minor_locator(matplotlib.ticker.AutoMinorLocator())\n", | |
| " axes.yaxis.set_major_locator(matplotlib.ticker.MaxNLocator(nbins=12, min_n_tickes=5))\n", | |
| " axes.yaxis.set_minor_locator(matplotlib.ticker.AutoMinorLocator())" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "application/javascript": [ | |
| "/* Put everything inside the global mpl namespace */\n", | |
| "window.mpl = {};\n", | |
| "\n", | |
| "\n", | |
| "mpl.get_websocket_type = function() {\n", | |
| " if (typeof(WebSocket) !== 'undefined') {\n", | |
| " return WebSocket;\n", | |
| " } else if (typeof(MozWebSocket) !== 'undefined') {\n", | |
| " return MozWebSocket;\n", | |
| " } else {\n", | |
| " alert('Your browser does not have WebSocket support.' +\n", | |
| " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", | |
| " 'Firefox 4 and 5 are also supported but you ' +\n", | |
| " 'have to enable WebSockets in about:config.');\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", | |
| " this.id = figure_id;\n", | |
| "\n", | |
| " this.ws = websocket;\n", | |
| "\n", | |
| " this.supports_binary = (this.ws.binaryType != undefined);\n", | |
| "\n", | |
| " if (!this.supports_binary) {\n", | |
| " var warnings = document.getElementById(\"mpl-warnings\");\n", | |
| " if (warnings) {\n", | |
| " warnings.style.display = 'block';\n", | |
| " warnings.textContent = (\n", | |
| " \"This browser does not support binary websocket messages. \" +\n", | |
| " \"Performance may be slow.\");\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.imageObj = new Image();\n", | |
| "\n", | |
| " this.context = undefined;\n", | |
| " this.message = undefined;\n", | |
| " this.canvas = undefined;\n", | |
| " this.rubberband_canvas = undefined;\n", | |
| " this.rubberband_context = undefined;\n", | |
| " this.format_dropdown = undefined;\n", | |
| "\n", | |
| " this.image_mode = 'full';\n", | |
| "\n", | |
| " this.root = $('<div/>');\n", | |
| " this._root_extra_style(this.root)\n", | |
| " this.root.attr('style', 'display: inline-block');\n", | |
| "\n", | |
| " $(parent_element).append(this.root);\n", | |
| "\n", | |
| " this._init_header(this);\n", | |
| " this._init_canvas(this);\n", | |
| " this._init_toolbar(this);\n", | |
| "\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " this.waiting = false;\n", | |
| "\n", | |
| " this.ws.onopen = function () {\n", | |
| " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", | |
| " fig.send_message(\"send_image_mode\", {});\n", | |
| " if (mpl.ratio != 1) {\n", | |
| " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", | |
| " }\n", | |
| " fig.send_message(\"refresh\", {});\n", | |
| " }\n", | |
| "\n", | |
| " this.imageObj.onload = function() {\n", | |
| " if (fig.image_mode == 'full') {\n", | |
| " // Full images could contain transparency (where diff images\n", | |
| " // almost always do), so we need to clear the canvas so that\n", | |
| " // there is no ghosting.\n", | |
| " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", | |
| " }\n", | |
| " fig.context.drawImage(fig.imageObj, 0, 0);\n", | |
| " };\n", | |
| "\n", | |
| " this.imageObj.onunload = function() {\n", | |
| " fig.ws.close();\n", | |
| " }\n", | |
| "\n", | |
| " this.ws.onmessage = this._make_on_message_function(this);\n", | |
| "\n", | |
| " this.ondownload = ondownload;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_header = function() {\n", | |
| " var titlebar = $(\n", | |
| " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", | |
| " 'ui-helper-clearfix\"/>');\n", | |
| " var titletext = $(\n", | |
| " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", | |
| " 'text-align: center; padding: 3px;\"/>');\n", | |
| " titlebar.append(titletext)\n", | |
| " this.root.append(titlebar);\n", | |
| " this.header = titletext[0];\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_canvas = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var canvas_div = $('<div/>');\n", | |
| "\n", | |
| " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", | |
| "\n", | |
| " function canvas_keyboard_event(event) {\n", | |
| " return fig.key_event(event, event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " canvas_div.keydown('key_press', canvas_keyboard_event);\n", | |
| " canvas_div.keyup('key_release', canvas_keyboard_event);\n", | |
| " this.canvas_div = canvas_div\n", | |
| " this._canvas_extra_style(canvas_div)\n", | |
| " this.root.append(canvas_div);\n", | |
| "\n", | |
| " var canvas = $('<canvas/>');\n", | |
| " canvas.addClass('mpl-canvas');\n", | |
| " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", | |
| "\n", | |
| " this.canvas = canvas[0];\n", | |
| " this.context = canvas[0].getContext(\"2d\");\n", | |
| "\n", | |
| " var backingStore = this.context.backingStorePixelRatio ||\n", | |
| "\tthis.context.webkitBackingStorePixelRatio ||\n", | |
| "\tthis.context.mozBackingStorePixelRatio ||\n", | |
| "\tthis.context.msBackingStorePixelRatio ||\n", | |
| "\tthis.context.oBackingStorePixelRatio ||\n", | |
| "\tthis.context.backingStorePixelRatio || 1;\n", | |
| "\n", | |
| " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", | |
| "\n", | |
| " var rubberband = $('<canvas/>');\n", | |
| " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", | |
| "\n", | |
| " var pass_mouse_events = true;\n", | |
| "\n", | |
| " canvas_div.resizable({\n", | |
| " start: function(event, ui) {\n", | |
| " pass_mouse_events = false;\n", | |
| " },\n", | |
| " resize: function(event, ui) {\n", | |
| " fig.request_resize(ui.size.width, ui.size.height);\n", | |
| " },\n", | |
| " stop: function(event, ui) {\n", | |
| " pass_mouse_events = true;\n", | |
| " fig.request_resize(ui.size.width, ui.size.height);\n", | |
| " },\n", | |
| " });\n", | |
| "\n", | |
| " function mouse_event_fn(event) {\n", | |
| " if (pass_mouse_events)\n", | |
| " return fig.mouse_event(event, event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " rubberband.mousedown('button_press', mouse_event_fn);\n", | |
| " rubberband.mouseup('button_release', mouse_event_fn);\n", | |
| " // Throttle sequential mouse events to 1 every 20ms.\n", | |
| " rubberband.mousemove('motion_notify', mouse_event_fn);\n", | |
| "\n", | |
| " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", | |
| " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", | |
| "\n", | |
| " canvas_div.on(\"wheel\", function (event) {\n", | |
| " event = event.originalEvent;\n", | |
| " event['data'] = 'scroll'\n", | |
| " if (event.deltaY < 0) {\n", | |
| " event.step = 1;\n", | |
| " } else {\n", | |
| " event.step = -1;\n", | |
| " }\n", | |
| " mouse_event_fn(event);\n", | |
| " });\n", | |
| "\n", | |
| " canvas_div.append(canvas);\n", | |
| " canvas_div.append(rubberband);\n", | |
| "\n", | |
| " this.rubberband = rubberband;\n", | |
| " this.rubberband_canvas = rubberband[0];\n", | |
| " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", | |
| " this.rubberband_context.strokeStyle = \"#000000\";\n", | |
| "\n", | |
| " this._resize_canvas = function(width, height) {\n", | |
| " // Keep the size of the canvas, canvas container, and rubber band\n", | |
| " // canvas in synch.\n", | |
| " canvas_div.css('width', width)\n", | |
| " canvas_div.css('height', height)\n", | |
| "\n", | |
| " canvas.attr('width', width * mpl.ratio);\n", | |
| " canvas.attr('height', height * mpl.ratio);\n", | |
| " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", | |
| "\n", | |
| " rubberband.attr('width', width);\n", | |
| " rubberband.attr('height', height);\n", | |
| " }\n", | |
| "\n", | |
| " // Set the figure to an initial 600x600px, this will subsequently be updated\n", | |
| " // upon first draw.\n", | |
| " this._resize_canvas(600, 600);\n", | |
| "\n", | |
| " // Disable right mouse context menu.\n", | |
| " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", | |
| " return false;\n", | |
| " });\n", | |
| "\n", | |
| " function set_focus () {\n", | |
| " canvas.focus();\n", | |
| " canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " window.setTimeout(set_focus, 100);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var nav_element = $('<div/>')\n", | |
| " nav_element.attr('style', 'width: 100%');\n", | |
| " this.root.append(nav_element);\n", | |
| "\n", | |
| " // Define a callback function for later on.\n", | |
| " function toolbar_event(event) {\n", | |
| " return fig.toolbar_button_onclick(event['data']);\n", | |
| " }\n", | |
| " function toolbar_mouse_event(event) {\n", | |
| " return fig.toolbar_button_onmouseover(event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " for(var toolbar_ind in mpl.toolbar_items) {\n", | |
| " var name = mpl.toolbar_items[toolbar_ind][0];\n", | |
| " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", | |
| " var image = mpl.toolbar_items[toolbar_ind][2];\n", | |
| " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", | |
| "\n", | |
| " if (!name) {\n", | |
| " // put a spacer in here.\n", | |
| " continue;\n", | |
| " }\n", | |
| " var button = $('<button/>');\n", | |
| " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", | |
| " 'ui-button-icon-only');\n", | |
| " button.attr('role', 'button');\n", | |
| " button.attr('aria-disabled', 'false');\n", | |
| " button.click(method_name, toolbar_event);\n", | |
| " button.mouseover(tooltip, toolbar_mouse_event);\n", | |
| "\n", | |
| " var icon_img = $('<span/>');\n", | |
| " icon_img.addClass('ui-button-icon-primary ui-icon');\n", | |
| " icon_img.addClass(image);\n", | |
| " icon_img.addClass('ui-corner-all');\n", | |
| "\n", | |
| " var tooltip_span = $('<span/>');\n", | |
| " tooltip_span.addClass('ui-button-text');\n", | |
| " tooltip_span.html(tooltip);\n", | |
| "\n", | |
| " button.append(icon_img);\n", | |
| " button.append(tooltip_span);\n", | |
| "\n", | |
| " nav_element.append(button);\n", | |
| " }\n", | |
| "\n", | |
| " var fmt_picker_span = $('<span/>');\n", | |
| "\n", | |
| " var fmt_picker = $('<select/>');\n", | |
| " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", | |
| " fmt_picker_span.append(fmt_picker);\n", | |
| " nav_element.append(fmt_picker_span);\n", | |
| " this.format_dropdown = fmt_picker[0];\n", | |
| "\n", | |
| " for (var ind in mpl.extensions) {\n", | |
| " var fmt = mpl.extensions[ind];\n", | |
| " var option = $(\n", | |
| " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", | |
| " fmt_picker.append(option)\n", | |
| " }\n", | |
| "\n", | |
| " // Add hover states to the ui-buttons\n", | |
| " $( \".ui-button\" ).hover(\n", | |
| " function() { $(this).addClass(\"ui-state-hover\");},\n", | |
| " function() { $(this).removeClass(\"ui-state-hover\");}\n", | |
| " );\n", | |
| "\n", | |
| " var status_bar = $('<span class=\"mpl-message\"/>');\n", | |
| " nav_element.append(status_bar);\n", | |
| " this.message = status_bar[0];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", | |
| " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", | |
| " // which will in turn request a refresh of the image.\n", | |
| " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.send_message = function(type, properties) {\n", | |
| " properties['type'] = type;\n", | |
| " properties['figure_id'] = this.id;\n", | |
| " this.ws.send(JSON.stringify(properties));\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.send_draw_message = function() {\n", | |
| " if (!this.waiting) {\n", | |
| " this.waiting = true;\n", | |
| " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", | |
| " }\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_save = function(fig, msg) {\n", | |
| " var format_dropdown = fig.format_dropdown;\n", | |
| " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", | |
| " fig.ondownload(fig, format);\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", | |
| " var size = msg['size'];\n", | |
| " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", | |
| " fig._resize_canvas(size[0], size[1]);\n", | |
| " fig.send_message(\"refresh\", {});\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", | |
| " var x0 = msg['x0'] / mpl.ratio;\n", | |
| " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", | |
| " var x1 = msg['x1'] / mpl.ratio;\n", | |
| " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", | |
| " x0 = Math.floor(x0) + 0.5;\n", | |
| " y0 = Math.floor(y0) + 0.5;\n", | |
| " x1 = Math.floor(x1) + 0.5;\n", | |
| " y1 = Math.floor(y1) + 0.5;\n", | |
| " var min_x = Math.min(x0, x1);\n", | |
| " var min_y = Math.min(y0, y1);\n", | |
| " var width = Math.abs(x1 - x0);\n", | |
| " var height = Math.abs(y1 - y0);\n", | |
| "\n", | |
| " fig.rubberband_context.clearRect(\n", | |
| " 0, 0, fig.canvas.width, fig.canvas.height);\n", | |
| "\n", | |
| " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", | |
| " // Updates the figure title.\n", | |
| " fig.header.textContent = msg['label'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", | |
| " var cursor = msg['cursor'];\n", | |
| " switch(cursor)\n", | |
| " {\n", | |
| " case 0:\n", | |
| " cursor = 'pointer';\n", | |
| " break;\n", | |
| " case 1:\n", | |
| " cursor = 'default';\n", | |
| " break;\n", | |
| " case 2:\n", | |
| " cursor = 'crosshair';\n", | |
| " break;\n", | |
| " case 3:\n", | |
| " cursor = 'move';\n", | |
| " break;\n", | |
| " }\n", | |
| " fig.rubberband_canvas.style.cursor = cursor;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_message = function(fig, msg) {\n", | |
| " fig.message.textContent = msg['message'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", | |
| " // Request the server to send over a new figure.\n", | |
| " fig.send_draw_message();\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", | |
| " fig.image_mode = msg['mode'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.updated_canvas_event = function() {\n", | |
| " // Called whenever the canvas gets updated.\n", | |
| " this.send_message(\"ack\", {});\n", | |
| "}\n", | |
| "\n", | |
| "// A function to construct a web socket function for onmessage handling.\n", | |
| "// Called in the figure constructor.\n", | |
| "mpl.figure.prototype._make_on_message_function = function(fig) {\n", | |
| " return function socket_on_message(evt) {\n", | |
| " if (evt.data instanceof Blob) {\n", | |
| " /* FIXME: We get \"Resource interpreted as Image but\n", | |
| " * transferred with MIME type text/plain:\" errors on\n", | |
| " * Chrome. But how to set the MIME type? It doesn't seem\n", | |
| " * to be part of the websocket stream */\n", | |
| " evt.data.type = \"image/png\";\n", | |
| "\n", | |
| " /* Free the memory for the previous frames */\n", | |
| " if (fig.imageObj.src) {\n", | |
| " (window.URL || window.webkitURL).revokeObjectURL(\n", | |
| " fig.imageObj.src);\n", | |
| " }\n", | |
| "\n", | |
| " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", | |
| " evt.data);\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " }\n", | |
| " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", | |
| " fig.imageObj.src = evt.data;\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " var msg = JSON.parse(evt.data);\n", | |
| " var msg_type = msg['type'];\n", | |
| "\n", | |
| " // Call the \"handle_{type}\" callback, which takes\n", | |
| " // the figure and JSON message as its only arguments.\n", | |
| " try {\n", | |
| " var callback = fig[\"handle_\" + msg_type];\n", | |
| " } catch (e) {\n", | |
| " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " if (callback) {\n", | |
| " try {\n", | |
| " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", | |
| " callback(fig, msg);\n", | |
| " } catch (e) {\n", | |
| " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", | |
| " }\n", | |
| " }\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", | |
| "mpl.findpos = function(e) {\n", | |
| " //this section is from http://www.quirksmode.org/js/events_properties.html\n", | |
| " var targ;\n", | |
| " if (!e)\n", | |
| " e = window.event;\n", | |
| " if (e.target)\n", | |
| " targ = e.target;\n", | |
| " else if (e.srcElement)\n", | |
| " targ = e.srcElement;\n", | |
| " if (targ.nodeType == 3) // defeat Safari bug\n", | |
| " targ = targ.parentNode;\n", | |
| "\n", | |
| " // jQuery normalizes the pageX and pageY\n", | |
| " // pageX,Y are the mouse positions relative to the document\n", | |
| " // offset() returns the position of the element relative to the document\n", | |
| " var x = e.pageX - $(targ).offset().left;\n", | |
| " var y = e.pageY - $(targ).offset().top;\n", | |
| "\n", | |
| " return {\"x\": x, \"y\": y};\n", | |
| "};\n", | |
| "\n", | |
| "/*\n", | |
| " * return a copy of an object with only non-object keys\n", | |
| " * we need this to avoid circular references\n", | |
| " * http://stackoverflow.com/a/24161582/3208463\n", | |
| " */\n", | |
| "function simpleKeys (original) {\n", | |
| " return Object.keys(original).reduce(function (obj, key) {\n", | |
| " if (typeof original[key] !== 'object')\n", | |
| " obj[key] = original[key]\n", | |
| " return obj;\n", | |
| " }, {});\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.mouse_event = function(event, name) {\n", | |
| " var canvas_pos = mpl.findpos(event)\n", | |
| "\n", | |
| " if (name === 'button_press')\n", | |
| " {\n", | |
| " this.canvas.focus();\n", | |
| " this.canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " var x = canvas_pos.x * mpl.ratio;\n", | |
| " var y = canvas_pos.y * mpl.ratio;\n", | |
| "\n", | |
| " this.send_message(name, {x: x, y: y, button: event.button,\n", | |
| " step: event.step,\n", | |
| " guiEvent: simpleKeys(event)});\n", | |
| "\n", | |
| " /* This prevents the web browser from automatically changing to\n", | |
| " * the text insertion cursor when the button is pressed. We want\n", | |
| " * to control all of the cursor setting manually through the\n", | |
| " * 'cursor' event from matplotlib */\n", | |
| " event.preventDefault();\n", | |
| " return false;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._key_event_extra = function(event, name) {\n", | |
| " // Handle any extra behaviour associated with a key event\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.key_event = function(event, name) {\n", | |
| "\n", | |
| " // Prevent repeat events\n", | |
| " if (name == 'key_press')\n", | |
| " {\n", | |
| " if (event.which === this._key)\n", | |
| " return;\n", | |
| " else\n", | |
| " this._key = event.which;\n", | |
| " }\n", | |
| " if (name == 'key_release')\n", | |
| " this._key = null;\n", | |
| "\n", | |
| " var value = '';\n", | |
| " if (event.ctrlKey && event.which != 17)\n", | |
| " value += \"ctrl+\";\n", | |
| " if (event.altKey && event.which != 18)\n", | |
| " value += \"alt+\";\n", | |
| " if (event.shiftKey && event.which != 16)\n", | |
| " value += \"shift+\";\n", | |
| "\n", | |
| " value += 'k';\n", | |
| " value += event.which.toString();\n", | |
| "\n", | |
| " this._key_event_extra(event, name);\n", | |
| "\n", | |
| " this.send_message(name, {key: value,\n", | |
| " guiEvent: simpleKeys(event)});\n", | |
| " return false;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", | |
| " if (name == 'download') {\n", | |
| " this.handle_save(this, null);\n", | |
| " } else {\n", | |
| " this.send_message(\"toolbar_button\", {name: name});\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", | |
| " this.message.textContent = tooltip;\n", | |
| "};\n", | |
| "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", | |
| "\n", | |
| "mpl.extensions = [\"eps\", \"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", | |
| " var width = fig.canvas.width/mpl.ratio\n", | |
| " fig.root.unbind('remove')\n", | |
| "\n", | |
| " // Update the output cell to use the data from the current canvas.\n", | |
| " fig.push_to_output();\n", | |
| " var dataURL = fig.canvas.toDataURL();\n", | |
| " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", | |
| " // the notebook keyboard shortcuts fail.\n", | |
| " IPython.keyboard_manager.enable()\n", | |
| " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", | |
| " fig.close_ws(fig, msg);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.close_ws = function(fig, msg){\n", | |
| " fig.send_message('closing', msg);\n", | |
| " // fig.ws.close()\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", | |
| " // Turn the data on the canvas into data in the output cell.\n", | |
| " var width = this.canvas.width/mpl.ratio\n", | |
| " var dataURL = this.canvas.toDataURL();\n", | |
| " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.updated_canvas_event = function() {\n", | |
| " // Tell IPython that the notebook contents must change.\n", | |
| " IPython.notebook.set_dirty(true);\n", | |
| " this.send_message(\"ack\", {});\n", | |
| " var fig = this;\n", | |
| " // Wait a second, then push the new image to the DOM so\n", | |
| " // that it is saved nicely (might be nice to debounce this).\n", | |
| " setTimeout(function () { fig.push_to_output() }, 1000);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var nav_element = $('<div/>')\n", | |
| " nav_element.attr('style', 'width: 100%');\n", | |
| " this.root.append(nav_element);\n", | |
| "\n", | |
| " // Define a callback function for later on.\n", | |
| " function toolbar_event(event) {\n", | |
| " return fig.toolbar_button_onclick(event['data']);\n", | |
| " }\n", | |
| " function toolbar_mouse_event(event) {\n", | |
| " return fig.toolbar_button_onmouseover(event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " for(var toolbar_ind in mpl.toolbar_items){\n", | |
| " var name = mpl.toolbar_items[toolbar_ind][0];\n", | |
| " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", | |
| " var image = mpl.toolbar_items[toolbar_ind][2];\n", | |
| " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", | |
| "\n", | |
| " if (!name) { continue; };\n", | |
| "\n", | |
| " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", | |
| " button.click(method_name, toolbar_event);\n", | |
| " button.mouseover(tooltip, toolbar_mouse_event);\n", | |
| " nav_element.append(button);\n", | |
| " }\n", | |
| "\n", | |
| " // Add the status bar.\n", | |
| " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", | |
| " nav_element.append(status_bar);\n", | |
| " this.message = status_bar[0];\n", | |
| "\n", | |
| " // Add the close button to the window.\n", | |
| " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", | |
| " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", | |
| " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", | |
| " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", | |
| " buttongrp.append(button);\n", | |
| " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", | |
| " titlebar.prepend(buttongrp);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function(el){\n", | |
| " var fig = this\n", | |
| " el.on(\"remove\", function(){\n", | |
| "\tfig.close_ws(fig, {});\n", | |
| " });\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function(el){\n", | |
| " // this is important to make the div 'focusable\n", | |
| " el.attr('tabindex', 0)\n", | |
| " // reach out to IPython and tell the keyboard manager to turn it's self\n", | |
| " // off when our div gets focus\n", | |
| "\n", | |
| " // location in version 3\n", | |
| " if (IPython.notebook.keyboard_manager) {\n", | |
| " IPython.notebook.keyboard_manager.register_events(el);\n", | |
| " }\n", | |
| " else {\n", | |
| " // location in version 2\n", | |
| " IPython.keyboard_manager.register_events(el);\n", | |
| " }\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._key_event_extra = function(event, name) {\n", | |
| " var manager = IPython.notebook.keyboard_manager;\n", | |
| " if (!manager)\n", | |
| " manager = IPython.keyboard_manager;\n", | |
| "\n", | |
| " // Check for shift+enter\n", | |
| " if (event.shiftKey && event.which == 13) {\n", | |
| " this.canvas_div.blur();\n", | |
| " 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 src=\"data:image/png;base64,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\" width=\"640\">" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "fig,ax = plt.subplots(num=\"COLZ2\")\n", | |
| "mp = ax.rpcolor(h2, cmap=\"afmhot\", vmin=0.)\n", | |
| "fig.colorbar(mp, ax=ax)\n", | |
| "ticks_like_root(ax)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Another popular option are contour lines or coloured surfaces, respectively CONT1 and CONT4 in ROOT" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAArgAAAHYCAIAAAApvgy/AAAABmJLR0QAAAAAAAD5Q7t/AAAgAElE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\no08EUCqqGXwAAAAASUVORK5CYII=\n", | |
| "text/plain": [ | |
| "<IPython.core.display.Image object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "cCONT1 = ROOT.TCanvas(\"cCONT1\")\n", | |
| "h2.Draw(\"CONT1\")\n", | |
| "cCONT1.Draw()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAArgAAAHYCAIAAAApvgy/AAAABmJLR0QAAAAAAAD5Q7t/AAAgAElE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\nIAoAAAAACPL/A4uBJpwspW3cAAAAAElFTkSuQmCC\n", | |
| "text/plain": [ | |
| "<IPython.core.display.Image object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "cCONT0 = ROOT.TCanvas(\"cCONT4\")\n", | |
| "h2.Draw(\"CONT4Z\")\n", | |
| "cCONT0.Draw()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "with the corresponding methods contour and contourf in mplbplot. The CONT3 option in ROOT (lines with different styles) can be emulated by passing a list of line styles to contour." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "application/javascript": [ | |
| "/* Put everything inside the global mpl namespace */\n", | |
| "window.mpl = {};\n", | |
| "\n", | |
| "\n", | |
| "mpl.get_websocket_type = function() {\n", | |
| " if (typeof(WebSocket) !== 'undefined') {\n", | |
| " return WebSocket;\n", | |
| " } else if (typeof(MozWebSocket) !== 'undefined') {\n", | |
| " return MozWebSocket;\n", | |
| " } else {\n", | |
| " alert('Your browser does not have WebSocket support.' +\n", | |
| " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", | |
| " 'Firefox 4 and 5 are also supported but you ' +\n", | |
| " 'have to enable WebSockets in about:config.');\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", | |
| " this.id = figure_id;\n", | |
| "\n", | |
| " this.ws = websocket;\n", | |
| "\n", | |
| " this.supports_binary = (this.ws.binaryType != undefined);\n", | |
| "\n", | |
| " if (!this.supports_binary) {\n", | |
| " var warnings = document.getElementById(\"mpl-warnings\");\n", | |
| " if (warnings) {\n", | |
| " warnings.style.display = 'block';\n", | |
| " warnings.textContent = (\n", | |
| " \"This browser does not support binary websocket messages. \" +\n", | |
| " \"Performance may be slow.\");\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.imageObj = new Image();\n", | |
| "\n", | |
| " this.context = undefined;\n", | |
| " this.message = undefined;\n", | |
| " this.canvas = undefined;\n", | |
| " this.rubberband_canvas = undefined;\n", | |
| " this.rubberband_context = undefined;\n", | |
| " this.format_dropdown = undefined;\n", | |
| "\n", | |
| " this.image_mode = 'full';\n", | |
| "\n", | |
| " this.root = $('<div/>');\n", | |
| " this._root_extra_style(this.root)\n", | |
| " this.root.attr('style', 'display: inline-block');\n", | |
| "\n", | |
| " $(parent_element).append(this.root);\n", | |
| "\n", | |
| " this._init_header(this);\n", | |
| " this._init_canvas(this);\n", | |
| " this._init_toolbar(this);\n", | |
| "\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " this.waiting = false;\n", | |
| "\n", | |
| " this.ws.onopen = function () {\n", | |
| " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", | |
| " fig.send_message(\"send_image_mode\", {});\n", | |
| " if (mpl.ratio != 1) {\n", | |
| " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", | |
| " }\n", | |
| " fig.send_message(\"refresh\", {});\n", | |
| " }\n", | |
| "\n", | |
| " this.imageObj.onload = function() {\n", | |
| " if (fig.image_mode == 'full') {\n", | |
| " // Full images could contain transparency (where diff images\n", | |
| " // almost always do), so we need to clear the canvas so that\n", | |
| " // there is no ghosting.\n", | |
| " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", | |
| " }\n", | |
| " fig.context.drawImage(fig.imageObj, 0, 0);\n", | |
| " };\n", | |
| "\n", | |
| " this.imageObj.onunload = function() {\n", | |
| " fig.ws.close();\n", | |
| " }\n", | |
| "\n", | |
| " this.ws.onmessage = this._make_on_message_function(this);\n", | |
| "\n", | |
| " this.ondownload = ondownload;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_header = function() {\n", | |
| " var titlebar = $(\n", | |
| " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", | |
| " 'ui-helper-clearfix\"/>');\n", | |
| " var titletext = $(\n", | |
| " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", | |
| " 'text-align: center; padding: 3px;\"/>');\n", | |
| " titlebar.append(titletext)\n", | |
| " this.root.append(titlebar);\n", | |
| " this.header = titletext[0];\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_canvas = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var canvas_div = $('<div/>');\n", | |
| "\n", | |
| " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", | |
| "\n", | |
| " function canvas_keyboard_event(event) {\n", | |
| " return fig.key_event(event, event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " canvas_div.keydown('key_press', canvas_keyboard_event);\n", | |
| " canvas_div.keyup('key_release', canvas_keyboard_event);\n", | |
| " this.canvas_div = canvas_div\n", | |
| " this._canvas_extra_style(canvas_div)\n", | |
| " this.root.append(canvas_div);\n", | |
| "\n", | |
| " var canvas = $('<canvas/>');\n", | |
| " canvas.addClass('mpl-canvas');\n", | |
| " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", | |
| "\n", | |
| " this.canvas = canvas[0];\n", | |
| " this.context = canvas[0].getContext(\"2d\");\n", | |
| "\n", | |
| " var backingStore = this.context.backingStorePixelRatio ||\n", | |
| "\tthis.context.webkitBackingStorePixelRatio ||\n", | |
| "\tthis.context.mozBackingStorePixelRatio ||\n", | |
| "\tthis.context.msBackingStorePixelRatio ||\n", | |
| "\tthis.context.oBackingStorePixelRatio ||\n", | |
| "\tthis.context.backingStorePixelRatio || 1;\n", | |
| "\n", | |
| " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", | |
| "\n", | |
| " var rubberband = $('<canvas/>');\n", | |
| " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", | |
| "\n", | |
| " var pass_mouse_events = true;\n", | |
| "\n", | |
| " canvas_div.resizable({\n", | |
| " start: function(event, ui) {\n", | |
| " pass_mouse_events = false;\n", | |
| " },\n", | |
| " resize: function(event, ui) {\n", | |
| " fig.request_resize(ui.size.width, ui.size.height);\n", | |
| " },\n", | |
| " stop: function(event, ui) {\n", | |
| " pass_mouse_events = true;\n", | |
| " fig.request_resize(ui.size.width, ui.size.height);\n", | |
| " },\n", | |
| " });\n", | |
| "\n", | |
| " function mouse_event_fn(event) {\n", | |
| " if (pass_mouse_events)\n", | |
| " return fig.mouse_event(event, event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " rubberband.mousedown('button_press', mouse_event_fn);\n", | |
| " rubberband.mouseup('button_release', mouse_event_fn);\n", | |
| " // Throttle sequential mouse events to 1 every 20ms.\n", | |
| " rubberband.mousemove('motion_notify', mouse_event_fn);\n", | |
| "\n", | |
| " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", | |
| " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", | |
| "\n", | |
| " canvas_div.on(\"wheel\", function (event) {\n", | |
| " event = event.originalEvent;\n", | |
| " event['data'] = 'scroll'\n", | |
| " if (event.deltaY < 0) {\n", | |
| " event.step = 1;\n", | |
| " } else {\n", | |
| " event.step = -1;\n", | |
| " }\n", | |
| " mouse_event_fn(event);\n", | |
| " });\n", | |
| "\n", | |
| " canvas_div.append(canvas);\n", | |
| " canvas_div.append(rubberband);\n", | |
| "\n", | |
| " this.rubberband = rubberband;\n", | |
| " this.rubberband_canvas = rubberband[0];\n", | |
| " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", | |
| " this.rubberband_context.strokeStyle = \"#000000\";\n", | |
| "\n", | |
| " this._resize_canvas = function(width, height) {\n", | |
| " // Keep the size of the canvas, canvas container, and rubber band\n", | |
| " // canvas in synch.\n", | |
| " canvas_div.css('width', width)\n", | |
| " canvas_div.css('height', height)\n", | |
| "\n", | |
| " canvas.attr('width', width * mpl.ratio);\n", | |
| " canvas.attr('height', height * mpl.ratio);\n", | |
| " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", | |
| "\n", | |
| " rubberband.attr('width', width);\n", | |
| " rubberband.attr('height', height);\n", | |
| " }\n", | |
| "\n", | |
| " // Set the figure to an initial 600x600px, this will subsequently be updated\n", | |
| " // upon first draw.\n", | |
| " this._resize_canvas(600, 600);\n", | |
| "\n", | |
| " // Disable right mouse context menu.\n", | |
| " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", | |
| " return false;\n", | |
| " });\n", | |
| "\n", | |
| " function set_focus () {\n", | |
| " canvas.focus();\n", | |
| " canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " window.setTimeout(set_focus, 100);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var nav_element = $('<div/>')\n", | |
| " nav_element.attr('style', 'width: 100%');\n", | |
| " this.root.append(nav_element);\n", | |
| "\n", | |
| " // Define a callback function for later on.\n", | |
| " function toolbar_event(event) {\n", | |
| " return fig.toolbar_button_onclick(event['data']);\n", | |
| " }\n", | |
| " function toolbar_mouse_event(event) {\n", | |
| " return fig.toolbar_button_onmouseover(event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " for(var toolbar_ind in mpl.toolbar_items) {\n", | |
| " var name = mpl.toolbar_items[toolbar_ind][0];\n", | |
| " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", | |
| " var image = mpl.toolbar_items[toolbar_ind][2];\n", | |
| " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", | |
| "\n", | |
| " if (!name) {\n", | |
| " // put a spacer in here.\n", | |
| " continue;\n", | |
| " }\n", | |
| " var button = $('<button/>');\n", | |
| " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", | |
| " 'ui-button-icon-only');\n", | |
| " button.attr('role', 'button');\n", | |
| " button.attr('aria-disabled', 'false');\n", | |
| " button.click(method_name, toolbar_event);\n", | |
| " button.mouseover(tooltip, toolbar_mouse_event);\n", | |
| "\n", | |
| " var icon_img = $('<span/>');\n", | |
| " icon_img.addClass('ui-button-icon-primary ui-icon');\n", | |
| " icon_img.addClass(image);\n", | |
| " icon_img.addClass('ui-corner-all');\n", | |
| "\n", | |
| " var tooltip_span = $('<span/>');\n", | |
| " tooltip_span.addClass('ui-button-text');\n", | |
| " tooltip_span.html(tooltip);\n", | |
| "\n", | |
| " button.append(icon_img);\n", | |
| " button.append(tooltip_span);\n", | |
| "\n", | |
| " nav_element.append(button);\n", | |
| " }\n", | |
| "\n", | |
| " var fmt_picker_span = $('<span/>');\n", | |
| "\n", | |
| " var fmt_picker = $('<select/>');\n", | |
| " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", | |
| " fmt_picker_span.append(fmt_picker);\n", | |
| " nav_element.append(fmt_picker_span);\n", | |
| " this.format_dropdown = fmt_picker[0];\n", | |
| "\n", | |
| " for (var ind in mpl.extensions) {\n", | |
| " var fmt = mpl.extensions[ind];\n", | |
| " var option = $(\n", | |
| " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", | |
| " fmt_picker.append(option)\n", | |
| " }\n", | |
| "\n", | |
| " // Add hover states to the ui-buttons\n", | |
| " $( \".ui-button\" ).hover(\n", | |
| " function() { $(this).addClass(\"ui-state-hover\");},\n", | |
| " function() { $(this).removeClass(\"ui-state-hover\");}\n", | |
| " );\n", | |
| "\n", | |
| " var status_bar = $('<span class=\"mpl-message\"/>');\n", | |
| " nav_element.append(status_bar);\n", | |
| " this.message = status_bar[0];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", | |
| " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", | |
| " // which will in turn request a refresh of the image.\n", | |
| " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.send_message = function(type, properties) {\n", | |
| " properties['type'] = type;\n", | |
| " properties['figure_id'] = this.id;\n", | |
| " this.ws.send(JSON.stringify(properties));\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.send_draw_message = function() {\n", | |
| " if (!this.waiting) {\n", | |
| " this.waiting = true;\n", | |
| " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", | |
| " }\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_save = function(fig, msg) {\n", | |
| " var format_dropdown = fig.format_dropdown;\n", | |
| " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", | |
| " fig.ondownload(fig, format);\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", | |
| " var size = msg['size'];\n", | |
| " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", | |
| " fig._resize_canvas(size[0], size[1]);\n", | |
| " fig.send_message(\"refresh\", {});\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", | |
| " var x0 = msg['x0'] / mpl.ratio;\n", | |
| " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", | |
| " var x1 = msg['x1'] / mpl.ratio;\n", | |
| " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", | |
| " x0 = Math.floor(x0) + 0.5;\n", | |
| " y0 = Math.floor(y0) + 0.5;\n", | |
| " x1 = Math.floor(x1) + 0.5;\n", | |
| " y1 = Math.floor(y1) + 0.5;\n", | |
| " var min_x = Math.min(x0, x1);\n", | |
| " var min_y = Math.min(y0, y1);\n", | |
| " var width = Math.abs(x1 - x0);\n", | |
| " var height = Math.abs(y1 - y0);\n", | |
| "\n", | |
| " fig.rubberband_context.clearRect(\n", | |
| " 0, 0, fig.canvas.width, fig.canvas.height);\n", | |
| "\n", | |
| " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", | |
| " // Updates the figure title.\n", | |
| " fig.header.textContent = msg['label'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", | |
| " var cursor = msg['cursor'];\n", | |
| " switch(cursor)\n", | |
| " {\n", | |
| " case 0:\n", | |
| " cursor = 'pointer';\n", | |
| " break;\n", | |
| " case 1:\n", | |
| " cursor = 'default';\n", | |
| " break;\n", | |
| " case 2:\n", | |
| " cursor = 'crosshair';\n", | |
| " break;\n", | |
| " case 3:\n", | |
| " cursor = 'move';\n", | |
| " break;\n", | |
| " }\n", | |
| " fig.rubberband_canvas.style.cursor = cursor;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_message = function(fig, msg) {\n", | |
| " fig.message.textContent = msg['message'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", | |
| " // Request the server to send over a new figure.\n", | |
| " fig.send_draw_message();\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", | |
| " fig.image_mode = msg['mode'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.updated_canvas_event = function() {\n", | |
| " // Called whenever the canvas gets updated.\n", | |
| " this.send_message(\"ack\", {});\n", | |
| "}\n", | |
| "\n", | |
| "// A function to construct a web socket function for onmessage handling.\n", | |
| "// Called in the figure constructor.\n", | |
| "mpl.figure.prototype._make_on_message_function = function(fig) {\n", | |
| " return function socket_on_message(evt) {\n", | |
| " if (evt.data instanceof Blob) {\n", | |
| " /* FIXME: We get \"Resource interpreted as Image but\n", | |
| " * transferred with MIME type text/plain:\" errors on\n", | |
| " * Chrome. But how to set the MIME type? It doesn't seem\n", | |
| " * to be part of the websocket stream */\n", | |
| " evt.data.type = \"image/png\";\n", | |
| "\n", | |
| " /* Free the memory for the previous frames */\n", | |
| " if (fig.imageObj.src) {\n", | |
| " (window.URL || window.webkitURL).revokeObjectURL(\n", | |
| " fig.imageObj.src);\n", | |
| " }\n", | |
| "\n", | |
| " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", | |
| " evt.data);\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " }\n", | |
| " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", | |
| " fig.imageObj.src = evt.data;\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " var msg = JSON.parse(evt.data);\n", | |
| " var msg_type = msg['type'];\n", | |
| "\n", | |
| " // Call the \"handle_{type}\" callback, which takes\n", | |
| " // the figure and JSON message as its only arguments.\n", | |
| " try {\n", | |
| " var callback = fig[\"handle_\" + msg_type];\n", | |
| " } catch (e) {\n", | |
| " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " if (callback) {\n", | |
| " try {\n", | |
| " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", | |
| " callback(fig, msg);\n", | |
| " } catch (e) {\n", | |
| " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", | |
| " }\n", | |
| " }\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", | |
| "mpl.findpos = function(e) {\n", | |
| " //this section is from http://www.quirksmode.org/js/events_properties.html\n", | |
| " var targ;\n", | |
| " if (!e)\n", | |
| " e = window.event;\n", | |
| " if (e.target)\n", | |
| " targ = e.target;\n", | |
| " else if (e.srcElement)\n", | |
| " targ = e.srcElement;\n", | |
| " if (targ.nodeType == 3) // defeat Safari bug\n", | |
| " targ = targ.parentNode;\n", | |
| "\n", | |
| " // jQuery normalizes the pageX and pageY\n", | |
| " // pageX,Y are the mouse positions relative to the document\n", | |
| " // offset() returns the position of the element relative to the document\n", | |
| " var x = e.pageX - $(targ).offset().left;\n", | |
| " var y = e.pageY - $(targ).offset().top;\n", | |
| "\n", | |
| " return {\"x\": x, \"y\": y};\n", | |
| "};\n", | |
| "\n", | |
| "/*\n", | |
| " * return a copy of an object with only non-object keys\n", | |
| " * we need this to avoid circular references\n", | |
| " * http://stackoverflow.com/a/24161582/3208463\n", | |
| " */\n", | |
| "function simpleKeys (original) {\n", | |
| " return Object.keys(original).reduce(function (obj, key) {\n", | |
| " if (typeof original[key] !== 'object')\n", | |
| " obj[key] = original[key]\n", | |
| " return obj;\n", | |
| " }, {});\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.mouse_event = function(event, name) {\n", | |
| " var canvas_pos = mpl.findpos(event)\n", | |
| "\n", | |
| " if (name === 'button_press')\n", | |
| " {\n", | |
| " this.canvas.focus();\n", | |
| " this.canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " var x = canvas_pos.x * mpl.ratio;\n", | |
| " var y = canvas_pos.y * mpl.ratio;\n", | |
| "\n", | |
| " this.send_message(name, {x: x, y: y, button: event.button,\n", | |
| " step: event.step,\n", | |
| " guiEvent: simpleKeys(event)});\n", | |
| "\n", | |
| " /* This prevents the web browser from automatically changing to\n", | |
| " * the text insertion cursor when the button is pressed. We want\n", | |
| " * to control all of the cursor setting manually through the\n", | |
| " * 'cursor' event from matplotlib */\n", | |
| " event.preventDefault();\n", | |
| " return false;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._key_event_extra = function(event, name) {\n", | |
| " // Handle any extra behaviour associated with a key event\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.key_event = function(event, name) {\n", | |
| "\n", | |
| " // Prevent repeat events\n", | |
| " if (name == 'key_press')\n", | |
| " {\n", | |
| " if (event.which === this._key)\n", | |
| " return;\n", | |
| " else\n", | |
| " this._key = event.which;\n", | |
| " }\n", | |
| " if (name == 'key_release')\n", | |
| " this._key = null;\n", | |
| "\n", | |
| " var value = '';\n", | |
| " if (event.ctrlKey && event.which != 17)\n", | |
| " value += \"ctrl+\";\n", | |
| " if (event.altKey && event.which != 18)\n", | |
| " value += \"alt+\";\n", | |
| " if (event.shiftKey && event.which != 16)\n", | |
| " value += \"shift+\";\n", | |
| "\n", | |
| " value += 'k';\n", | |
| " value += event.which.toString();\n", | |
| "\n", | |
| " this._key_event_extra(event, name);\n", | |
| "\n", | |
| " this.send_message(name, {key: value,\n", | |
| " guiEvent: simpleKeys(event)});\n", | |
| " return false;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", | |
| " if (name == 'download') {\n", | |
| " this.handle_save(this, null);\n", | |
| " } else {\n", | |
| " this.send_message(\"toolbar_button\", {name: name});\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", | |
| " this.message.textContent = tooltip;\n", | |
| "};\n", | |
| "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", | |
| "\n", | |
| "mpl.extensions = [\"eps\", \"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", | |
| " var width = fig.canvas.width/mpl.ratio\n", | |
| " fig.root.unbind('remove')\n", | |
| "\n", | |
| " // Update the output cell to use the data from the current canvas.\n", | |
| " fig.push_to_output();\n", | |
| " var dataURL = fig.canvas.toDataURL();\n", | |
| " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", | |
| " // the notebook keyboard shortcuts fail.\n", | |
| " IPython.keyboard_manager.enable()\n", | |
| " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", | |
| " fig.close_ws(fig, msg);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.close_ws = function(fig, msg){\n", | |
| " fig.send_message('closing', msg);\n", | |
| " // fig.ws.close()\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", | |
| " // Turn the data on the canvas into data in the output cell.\n", | |
| " var width = this.canvas.width/mpl.ratio\n", | |
| " var dataURL = this.canvas.toDataURL();\n", | |
| " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.updated_canvas_event = function() {\n", | |
| " // Tell IPython that the notebook contents must change.\n", | |
| " IPython.notebook.set_dirty(true);\n", | |
| " this.send_message(\"ack\", {});\n", | |
| " var fig = this;\n", | |
| " // Wait a second, then push the new image to the DOM so\n", | |
| " // that it is saved nicely (might be nice to debounce this).\n", | |
| " setTimeout(function () { fig.push_to_output() }, 1000);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var nav_element = $('<div/>')\n", | |
| " nav_element.attr('style', 'width: 100%');\n", | |
| " this.root.append(nav_element);\n", | |
| "\n", | |
| " // Define a callback function for later on.\n", | |
| " function toolbar_event(event) {\n", | |
| " return fig.toolbar_button_onclick(event['data']);\n", | |
| " }\n", | |
| " function toolbar_mouse_event(event) {\n", | |
| " return fig.toolbar_button_onmouseover(event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " for(var toolbar_ind in mpl.toolbar_items){\n", | |
| " var name = mpl.toolbar_items[toolbar_ind][0];\n", | |
| " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", | |
| " var image = mpl.toolbar_items[toolbar_ind][2];\n", | |
| " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", | |
| "\n", | |
| " if (!name) { continue; };\n", | |
| "\n", | |
| " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", | |
| " button.click(method_name, toolbar_event);\n", | |
| " button.mouseover(tooltip, toolbar_mouse_event);\n", | |
| " nav_element.append(button);\n", | |
| " }\n", | |
| "\n", | |
| " // Add the status bar.\n", | |
| " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", | |
| " nav_element.append(status_bar);\n", | |
| " this.message = status_bar[0];\n", | |
| "\n", | |
| " // Add the close button to the window.\n", | |
| " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", | |
| " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", | |
| " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", | |
| " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", | |
| " buttongrp.append(button);\n", | |
| " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", | |
| " titlebar.prepend(buttongrp);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function(el){\n", | |
| " var fig = this\n", | |
| " el.on(\"remove\", function(){\n", | |
| "\tfig.close_ws(fig, {});\n", | |
| " });\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function(el){\n", | |
| " // this is important to make the div 'focusable\n", | |
| " el.attr('tabindex', 0)\n", | |
| " // reach out to IPython and tell the keyboard manager to turn it's self\n", | |
| " // off when our div gets focus\n", | |
| "\n", | |
| " // location in version 3\n", | |
| " if (IPython.notebook.keyboard_manager) {\n", | |
| " IPython.notebook.keyboard_manager.register_events(el);\n", | |
| " }\n", | |
| " else {\n", | |
| " // location in version 2\n", | |
| " IPython.keyboard_manager.register_events(el);\n", | |
| " }\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._key_event_extra = function(event, name) {\n", | |
| " var manager = IPython.notebook.keyboard_manager;\n", | |
| " if (!manager)\n", | |
| " manager = IPython.keyboard_manager;\n", | |
| "\n", | |
| " // Check for shift+enter\n", | |
| " if (event.shiftKey && event.which == 13) {\n", | |
| " this.canvas_div.blur();\n", | |
| " 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 src=\"data:image/png;base64,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\" width=\"640\">" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "fig,ax = plt.subplots(num=\"CONT1\")\n", | |
| "import matplotlib.ticker\n", | |
| "mp = ax.rcontour(h2, cmap=\"afmhot\", vmin=0., locator=matplotlib.ticker.MaxNLocator(nbins=25))\n", | |
| "ticks_like_root(ax)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "application/javascript": [ | |
| "/* Put everything inside the global mpl namespace */\n", | |
| "window.mpl = {};\n", | |
| "\n", | |
| "\n", | |
| "mpl.get_websocket_type = function() {\n", | |
| " if (typeof(WebSocket) !== 'undefined') {\n", | |
| " return WebSocket;\n", | |
| " } else if (typeof(MozWebSocket) !== 'undefined') {\n", | |
| " return MozWebSocket;\n", | |
| " } else {\n", | |
| " alert('Your browser does not have WebSocket support.' +\n", | |
| " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", | |
| " 'Firefox 4 and 5 are also supported but you ' +\n", | |
| " 'have to enable WebSockets in about:config.');\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", | |
| " this.id = figure_id;\n", | |
| "\n", | |
| " this.ws = websocket;\n", | |
| "\n", | |
| " this.supports_binary = (this.ws.binaryType != undefined);\n", | |
| "\n", | |
| " if (!this.supports_binary) {\n", | |
| " var warnings = document.getElementById(\"mpl-warnings\");\n", | |
| " if (warnings) {\n", | |
| " warnings.style.display = 'block';\n", | |
| " warnings.textContent = (\n", | |
| " \"This browser does not support binary websocket messages. \" +\n", | |
| " \"Performance may be slow.\");\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.imageObj = new Image();\n", | |
| "\n", | |
| " this.context = undefined;\n", | |
| " this.message = undefined;\n", | |
| " this.canvas = undefined;\n", | |
| " this.rubberband_canvas = undefined;\n", | |
| " this.rubberband_context = undefined;\n", | |
| " this.format_dropdown = undefined;\n", | |
| "\n", | |
| " this.image_mode = 'full';\n", | |
| "\n", | |
| " this.root = $('<div/>');\n", | |
| " this._root_extra_style(this.root)\n", | |
| " this.root.attr('style', 'display: inline-block');\n", | |
| "\n", | |
| " $(parent_element).append(this.root);\n", | |
| "\n", | |
| " this._init_header(this);\n", | |
| " this._init_canvas(this);\n", | |
| " this._init_toolbar(this);\n", | |
| "\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " this.waiting = false;\n", | |
| "\n", | |
| " this.ws.onopen = function () {\n", | |
| " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", | |
| " fig.send_message(\"send_image_mode\", {});\n", | |
| " if (mpl.ratio != 1) {\n", | |
| " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", | |
| " }\n", | |
| " fig.send_message(\"refresh\", {});\n", | |
| " }\n", | |
| "\n", | |
| " this.imageObj.onload = function() {\n", | |
| " if (fig.image_mode == 'full') {\n", | |
| " // Full images could contain transparency (where diff images\n", | |
| " // almost always do), so we need to clear the canvas so that\n", | |
| " // there is no ghosting.\n", | |
| " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", | |
| " }\n", | |
| " fig.context.drawImage(fig.imageObj, 0, 0);\n", | |
| " };\n", | |
| "\n", | |
| " this.imageObj.onunload = function() {\n", | |
| " fig.ws.close();\n", | |
| " }\n", | |
| "\n", | |
| " this.ws.onmessage = this._make_on_message_function(this);\n", | |
| "\n", | |
| " this.ondownload = ondownload;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_header = function() {\n", | |
| " var titlebar = $(\n", | |
| " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", | |
| " 'ui-helper-clearfix\"/>');\n", | |
| " var titletext = $(\n", | |
| " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", | |
| " 'text-align: center; padding: 3px;\"/>');\n", | |
| " titlebar.append(titletext)\n", | |
| " this.root.append(titlebar);\n", | |
| " this.header = titletext[0];\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_canvas = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var canvas_div = $('<div/>');\n", | |
| "\n", | |
| " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", | |
| "\n", | |
| " function canvas_keyboard_event(event) {\n", | |
| " return fig.key_event(event, event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " canvas_div.keydown('key_press', canvas_keyboard_event);\n", | |
| " canvas_div.keyup('key_release', canvas_keyboard_event);\n", | |
| " this.canvas_div = canvas_div\n", | |
| " this._canvas_extra_style(canvas_div)\n", | |
| " this.root.append(canvas_div);\n", | |
| "\n", | |
| " var canvas = $('<canvas/>');\n", | |
| " canvas.addClass('mpl-canvas');\n", | |
| " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", | |
| "\n", | |
| " this.canvas = canvas[0];\n", | |
| " this.context = canvas[0].getContext(\"2d\");\n", | |
| "\n", | |
| " var backingStore = this.context.backingStorePixelRatio ||\n", | |
| "\tthis.context.webkitBackingStorePixelRatio ||\n", | |
| "\tthis.context.mozBackingStorePixelRatio ||\n", | |
| "\tthis.context.msBackingStorePixelRatio ||\n", | |
| "\tthis.context.oBackingStorePixelRatio ||\n", | |
| "\tthis.context.backingStorePixelRatio || 1;\n", | |
| "\n", | |
| " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", | |
| "\n", | |
| " var rubberband = $('<canvas/>');\n", | |
| " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", | |
| "\n", | |
| " var pass_mouse_events = true;\n", | |
| "\n", | |
| " canvas_div.resizable({\n", | |
| " start: function(event, ui) {\n", | |
| " pass_mouse_events = false;\n", | |
| " },\n", | |
| " resize: function(event, ui) {\n", | |
| " fig.request_resize(ui.size.width, ui.size.height);\n", | |
| " },\n", | |
| " stop: function(event, ui) {\n", | |
| " pass_mouse_events = true;\n", | |
| " fig.request_resize(ui.size.width, ui.size.height);\n", | |
| " },\n", | |
| " });\n", | |
| "\n", | |
| " function mouse_event_fn(event) {\n", | |
| " if (pass_mouse_events)\n", | |
| " return fig.mouse_event(event, event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " rubberband.mousedown('button_press', mouse_event_fn);\n", | |
| " rubberband.mouseup('button_release', mouse_event_fn);\n", | |
| " // Throttle sequential mouse events to 1 every 20ms.\n", | |
| " rubberband.mousemove('motion_notify', mouse_event_fn);\n", | |
| "\n", | |
| " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", | |
| " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", | |
| "\n", | |
| " canvas_div.on(\"wheel\", function (event) {\n", | |
| " event = event.originalEvent;\n", | |
| " event['data'] = 'scroll'\n", | |
| " if (event.deltaY < 0) {\n", | |
| " event.step = 1;\n", | |
| " } else {\n", | |
| " event.step = -1;\n", | |
| " }\n", | |
| " mouse_event_fn(event);\n", | |
| " });\n", | |
| "\n", | |
| " canvas_div.append(canvas);\n", | |
| " canvas_div.append(rubberband);\n", | |
| "\n", | |
| " this.rubberband = rubberband;\n", | |
| " this.rubberband_canvas = rubberband[0];\n", | |
| " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", | |
| " this.rubberband_context.strokeStyle = \"#000000\";\n", | |
| "\n", | |
| " this._resize_canvas = function(width, height) {\n", | |
| " // Keep the size of the canvas, canvas container, and rubber band\n", | |
| " // canvas in synch.\n", | |
| " canvas_div.css('width', width)\n", | |
| " canvas_div.css('height', height)\n", | |
| "\n", | |
| " canvas.attr('width', width * mpl.ratio);\n", | |
| " canvas.attr('height', height * mpl.ratio);\n", | |
| " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", | |
| "\n", | |
| " rubberband.attr('width', width);\n", | |
| " rubberband.attr('height', height);\n", | |
| " }\n", | |
| "\n", | |
| " // Set the figure to an initial 600x600px, this will subsequently be updated\n", | |
| " // upon first draw.\n", | |
| " this._resize_canvas(600, 600);\n", | |
| "\n", | |
| " // Disable right mouse context menu.\n", | |
| " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", | |
| " return false;\n", | |
| " });\n", | |
| "\n", | |
| " function set_focus () {\n", | |
| " canvas.focus();\n", | |
| " canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " window.setTimeout(set_focus, 100);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var nav_element = $('<div/>')\n", | |
| " nav_element.attr('style', 'width: 100%');\n", | |
| " this.root.append(nav_element);\n", | |
| "\n", | |
| " // Define a callback function for later on.\n", | |
| " function toolbar_event(event) {\n", | |
| " return fig.toolbar_button_onclick(event['data']);\n", | |
| " }\n", | |
| " function toolbar_mouse_event(event) {\n", | |
| " return fig.toolbar_button_onmouseover(event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " for(var toolbar_ind in mpl.toolbar_items) {\n", | |
| " var name = mpl.toolbar_items[toolbar_ind][0];\n", | |
| " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", | |
| " var image = mpl.toolbar_items[toolbar_ind][2];\n", | |
| " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", | |
| "\n", | |
| " if (!name) {\n", | |
| " // put a spacer in here.\n", | |
| " continue;\n", | |
| " }\n", | |
| " var button = $('<button/>');\n", | |
| " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", | |
| " 'ui-button-icon-only');\n", | |
| " button.attr('role', 'button');\n", | |
| " button.attr('aria-disabled', 'false');\n", | |
| " button.click(method_name, toolbar_event);\n", | |
| " button.mouseover(tooltip, toolbar_mouse_event);\n", | |
| "\n", | |
| " var icon_img = $('<span/>');\n", | |
| " icon_img.addClass('ui-button-icon-primary ui-icon');\n", | |
| " icon_img.addClass(image);\n", | |
| " icon_img.addClass('ui-corner-all');\n", | |
| "\n", | |
| " var tooltip_span = $('<span/>');\n", | |
| " tooltip_span.addClass('ui-button-text');\n", | |
| " tooltip_span.html(tooltip);\n", | |
| "\n", | |
| " button.append(icon_img);\n", | |
| " button.append(tooltip_span);\n", | |
| "\n", | |
| " nav_element.append(button);\n", | |
| " }\n", | |
| "\n", | |
| " var fmt_picker_span = $('<span/>');\n", | |
| "\n", | |
| " var fmt_picker = $('<select/>');\n", | |
| " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", | |
| " fmt_picker_span.append(fmt_picker);\n", | |
| " nav_element.append(fmt_picker_span);\n", | |
| " this.format_dropdown = fmt_picker[0];\n", | |
| "\n", | |
| " for (var ind in mpl.extensions) {\n", | |
| " var fmt = mpl.extensions[ind];\n", | |
| " var option = $(\n", | |
| " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", | |
| " fmt_picker.append(option)\n", | |
| " }\n", | |
| "\n", | |
| " // Add hover states to the ui-buttons\n", | |
| " $( \".ui-button\" ).hover(\n", | |
| " function() { $(this).addClass(\"ui-state-hover\");},\n", | |
| " function() { $(this).removeClass(\"ui-state-hover\");}\n", | |
| " );\n", | |
| "\n", | |
| " var status_bar = $('<span class=\"mpl-message\"/>');\n", | |
| " nav_element.append(status_bar);\n", | |
| " this.message = status_bar[0];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", | |
| " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", | |
| " // which will in turn request a refresh of the image.\n", | |
| " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.send_message = function(type, properties) {\n", | |
| " properties['type'] = type;\n", | |
| " properties['figure_id'] = this.id;\n", | |
| " this.ws.send(JSON.stringify(properties));\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.send_draw_message = function() {\n", | |
| " if (!this.waiting) {\n", | |
| " this.waiting = true;\n", | |
| " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", | |
| " }\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_save = function(fig, msg) {\n", | |
| " var format_dropdown = fig.format_dropdown;\n", | |
| " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", | |
| " fig.ondownload(fig, format);\n", | |
| "}\n", | |
| "\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", | |
| " var size = msg['size'];\n", | |
| " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", | |
| " fig._resize_canvas(size[0], size[1]);\n", | |
| " fig.send_message(\"refresh\", {});\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", | |
| " var x0 = msg['x0'] / mpl.ratio;\n", | |
| " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", | |
| " var x1 = msg['x1'] / mpl.ratio;\n", | |
| " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", | |
| " x0 = Math.floor(x0) + 0.5;\n", | |
| " y0 = Math.floor(y0) + 0.5;\n", | |
| " x1 = Math.floor(x1) + 0.5;\n", | |
| " y1 = Math.floor(y1) + 0.5;\n", | |
| " var min_x = Math.min(x0, x1);\n", | |
| " var min_y = Math.min(y0, y1);\n", | |
| " var width = Math.abs(x1 - x0);\n", | |
| " var height = Math.abs(y1 - y0);\n", | |
| "\n", | |
| " fig.rubberband_context.clearRect(\n", | |
| " 0, 0, fig.canvas.width, fig.canvas.height);\n", | |
| "\n", | |
| " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", | |
| " // Updates the figure title.\n", | |
| " fig.header.textContent = msg['label'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", | |
| " var cursor = msg['cursor'];\n", | |
| " switch(cursor)\n", | |
| " {\n", | |
| " case 0:\n", | |
| " cursor = 'pointer';\n", | |
| " break;\n", | |
| " case 1:\n", | |
| " cursor = 'default';\n", | |
| " break;\n", | |
| " case 2:\n", | |
| " cursor = 'crosshair';\n", | |
| " break;\n", | |
| " case 3:\n", | |
| " cursor = 'move';\n", | |
| " break;\n", | |
| " }\n", | |
| " fig.rubberband_canvas.style.cursor = cursor;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_message = function(fig, msg) {\n", | |
| " fig.message.textContent = msg['message'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", | |
| " // Request the server to send over a new figure.\n", | |
| " fig.send_draw_message();\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", | |
| " fig.image_mode = msg['mode'];\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.updated_canvas_event = function() {\n", | |
| " // Called whenever the canvas gets updated.\n", | |
| " this.send_message(\"ack\", {});\n", | |
| "}\n", | |
| "\n", | |
| "// A function to construct a web socket function for onmessage handling.\n", | |
| "// Called in the figure constructor.\n", | |
| "mpl.figure.prototype._make_on_message_function = function(fig) {\n", | |
| " return function socket_on_message(evt) {\n", | |
| " if (evt.data instanceof Blob) {\n", | |
| " /* FIXME: We get \"Resource interpreted as Image but\n", | |
| " * transferred with MIME type text/plain:\" errors on\n", | |
| " * Chrome. But how to set the MIME type? It doesn't seem\n", | |
| " * to be part of the websocket stream */\n", | |
| " evt.data.type = \"image/png\";\n", | |
| "\n", | |
| " /* Free the memory for the previous frames */\n", | |
| " if (fig.imageObj.src) {\n", | |
| " (window.URL || window.webkitURL).revokeObjectURL(\n", | |
| " fig.imageObj.src);\n", | |
| " }\n", | |
| "\n", | |
| " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", | |
| " evt.data);\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " }\n", | |
| " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", | |
| " fig.imageObj.src = evt.data;\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " var msg = JSON.parse(evt.data);\n", | |
| " var msg_type = msg['type'];\n", | |
| "\n", | |
| " // Call the \"handle_{type}\" callback, which takes\n", | |
| " // the figure and JSON message as its only arguments.\n", | |
| " try {\n", | |
| " var callback = fig[\"handle_\" + msg_type];\n", | |
| " } catch (e) {\n", | |
| " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", | |
| " return;\n", | |
| " }\n", | |
| "\n", | |
| " if (callback) {\n", | |
| " try {\n", | |
| " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", | |
| " callback(fig, msg);\n", | |
| " } catch (e) {\n", | |
| " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", | |
| " }\n", | |
| " }\n", | |
| " };\n", | |
| "}\n", | |
| "\n", | |
| "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", | |
| "mpl.findpos = function(e) {\n", | |
| " //this section is from http://www.quirksmode.org/js/events_properties.html\n", | |
| " var targ;\n", | |
| " if (!e)\n", | |
| " e = window.event;\n", | |
| " if (e.target)\n", | |
| " targ = e.target;\n", | |
| " else if (e.srcElement)\n", | |
| " targ = e.srcElement;\n", | |
| " if (targ.nodeType == 3) // defeat Safari bug\n", | |
| " targ = targ.parentNode;\n", | |
| "\n", | |
| " // jQuery normalizes the pageX and pageY\n", | |
| " // pageX,Y are the mouse positions relative to the document\n", | |
| " // offset() returns the position of the element relative to the document\n", | |
| " var x = e.pageX - $(targ).offset().left;\n", | |
| " var y = e.pageY - $(targ).offset().top;\n", | |
| "\n", | |
| " return {\"x\": x, \"y\": y};\n", | |
| "};\n", | |
| "\n", | |
| "/*\n", | |
| " * return a copy of an object with only non-object keys\n", | |
| " * we need this to avoid circular references\n", | |
| " * http://stackoverflow.com/a/24161582/3208463\n", | |
| " */\n", | |
| "function simpleKeys (original) {\n", | |
| " return Object.keys(original).reduce(function (obj, key) {\n", | |
| " if (typeof original[key] !== 'object')\n", | |
| " obj[key] = original[key]\n", | |
| " return obj;\n", | |
| " }, {});\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.mouse_event = function(event, name) {\n", | |
| " var canvas_pos = mpl.findpos(event)\n", | |
| "\n", | |
| " if (name === 'button_press')\n", | |
| " {\n", | |
| " this.canvas.focus();\n", | |
| " this.canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " var x = canvas_pos.x * mpl.ratio;\n", | |
| " var y = canvas_pos.y * mpl.ratio;\n", | |
| "\n", | |
| " this.send_message(name, {x: x, y: y, button: event.button,\n", | |
| " step: event.step,\n", | |
| " guiEvent: simpleKeys(event)});\n", | |
| "\n", | |
| " /* This prevents the web browser from automatically changing to\n", | |
| " * the text insertion cursor when the button is pressed. We want\n", | |
| " * to control all of the cursor setting manually through the\n", | |
| " * 'cursor' event from matplotlib */\n", | |
| " event.preventDefault();\n", | |
| " return false;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._key_event_extra = function(event, name) {\n", | |
| " // Handle any extra behaviour associated with a key event\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.key_event = function(event, name) {\n", | |
| "\n", | |
| " // Prevent repeat events\n", | |
| " if (name == 'key_press')\n", | |
| " {\n", | |
| " if (event.which === this._key)\n", | |
| " return;\n", | |
| " else\n", | |
| " this._key = event.which;\n", | |
| " }\n", | |
| " if (name == 'key_release')\n", | |
| " this._key = null;\n", | |
| "\n", | |
| " var value = '';\n", | |
| " if (event.ctrlKey && event.which != 17)\n", | |
| " value += \"ctrl+\";\n", | |
| " if (event.altKey && event.which != 18)\n", | |
| " value += \"alt+\";\n", | |
| " if (event.shiftKey && event.which != 16)\n", | |
| " value += \"shift+\";\n", | |
| "\n", | |
| " value += 'k';\n", | |
| " value += event.which.toString();\n", | |
| "\n", | |
| " this._key_event_extra(event, name);\n", | |
| "\n", | |
| " this.send_message(name, {key: value,\n", | |
| " guiEvent: simpleKeys(event)});\n", | |
| " return false;\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", | |
| " if (name == 'download') {\n", | |
| " this.handle_save(this, null);\n", | |
| " } else {\n", | |
| " this.send_message(\"toolbar_button\", {name: name});\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", | |
| " this.message.textContent = tooltip;\n", | |
| "};\n", | |
| "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", | |
| "\n", | |
| "mpl.extensions = [\"eps\", \"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", | |
| " var width = fig.canvas.width/mpl.ratio\n", | |
| " fig.root.unbind('remove')\n", | |
| "\n", | |
| " // Update the output cell to use the data from the current canvas.\n", | |
| " fig.push_to_output();\n", | |
| " var dataURL = fig.canvas.toDataURL();\n", | |
| " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", | |
| " // the notebook keyboard shortcuts fail.\n", | |
| " IPython.keyboard_manager.enable()\n", | |
| " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", | |
| " fig.close_ws(fig, msg);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.close_ws = function(fig, msg){\n", | |
| " fig.send_message('closing', msg);\n", | |
| " // fig.ws.close()\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", | |
| " // Turn the data on the canvas into data in the output cell.\n", | |
| " var width = this.canvas.width/mpl.ratio\n", | |
| " var dataURL = this.canvas.toDataURL();\n", | |
| " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype.updated_canvas_event = function() {\n", | |
| " // Tell IPython that the notebook contents must change.\n", | |
| " IPython.notebook.set_dirty(true);\n", | |
| " this.send_message(\"ack\", {});\n", | |
| " var fig = this;\n", | |
| " // Wait a second, then push the new image to the DOM so\n", | |
| " // that it is saved nicely (might be nice to debounce this).\n", | |
| " setTimeout(function () { fig.push_to_output() }, 1000);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function() {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var nav_element = $('<div/>')\n", | |
| " nav_element.attr('style', 'width: 100%');\n", | |
| " this.root.append(nav_element);\n", | |
| "\n", | |
| " // Define a callback function for later on.\n", | |
| " function toolbar_event(event) {\n", | |
| " return fig.toolbar_button_onclick(event['data']);\n", | |
| " }\n", | |
| " function toolbar_mouse_event(event) {\n", | |
| " return fig.toolbar_button_onmouseover(event['data']);\n", | |
| " }\n", | |
| "\n", | |
| " for(var toolbar_ind in mpl.toolbar_items){\n", | |
| " var name = mpl.toolbar_items[toolbar_ind][0];\n", | |
| " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", | |
| " var image = mpl.toolbar_items[toolbar_ind][2];\n", | |
| " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", | |
| "\n", | |
| " if (!name) { continue; };\n", | |
| "\n", | |
| " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", | |
| " button.click(method_name, toolbar_event);\n", | |
| " button.mouseover(tooltip, toolbar_mouse_event);\n", | |
| " nav_element.append(button);\n", | |
| " }\n", | |
| "\n", | |
| " // Add the status bar.\n", | |
| " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", | |
| " nav_element.append(status_bar);\n", | |
| " this.message = status_bar[0];\n", | |
| "\n", | |
| " // Add the close button to the window.\n", | |
| " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", | |
| " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", | |
| " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", | |
| " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", | |
| " buttongrp.append(button);\n", | |
| " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", | |
| " titlebar.prepend(buttongrp);\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function(el){\n", | |
| " var fig = this\n", | |
| " el.on(\"remove\", function(){\n", | |
| "\tfig.close_ws(fig, {});\n", | |
| " });\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function(el){\n", | |
| " // this is important to make the div 'focusable\n", | |
| " el.attr('tabindex', 0)\n", | |
| " // reach out to IPython and tell the keyboard manager to turn it's self\n", | |
| " // off when our div gets focus\n", | |
| "\n", | |
| " // location in version 3\n", | |
| " if (IPython.notebook.keyboard_manager) {\n", | |
| " IPython.notebook.keyboard_manager.register_events(el);\n", | |
| " }\n", | |
| " else {\n", | |
| " // location in version 2\n", | |
| " IPython.keyboard_manager.register_events(el);\n", | |
| " }\n", | |
| "\n", | |
| "}\n", | |
| "\n", | |
| "mpl.figure.prototype._key_event_extra = function(event, name) {\n", | |
| " var manager = IPython.notebook.keyboard_manager;\n", | |
| " if (!manager)\n", | |
| " manager = IPython.keyboard_manager;\n", | |
| "\n", | |
| " // Check for shift+enter\n", | |
| " if (event.shiftKey && event.which == 13) {\n", | |
| " this.canvas_div.blur();\n", | |
| " 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 src=\"data:image/png;base64,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 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment