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@pelson
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A discussion on the new nbagg backend in matplotlib v1.4.
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"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Interactive matplotlib figures in the IPython notebook - they're here!"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"After what feels like years chipping away at the problem, not least from some awesome developers including the whole of the IPython development team, Michael Droetboom and Jason Grout, I recently closed the development loop and added a new matplotlib backend providing interactive figures in the IPython notebook environment."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The \"nbagg\" backend makes use of the familiar anti-grain geometry rendering engine, so your figures will render as they always have with other agg based backends, with the key difference that instead of an interactive GUI upon show, an inline interactive figure is displayed, complete with the \"pan/zoom\" and \"zoom to rectangle\" buttons, as can be seen in the following screenshot:\n",
"\n",
"![screenshot](screenshot.png)\n",
"\n",
"\n",
"The backend itself is still very much a work in progress, but it is functional, and well worth trying out for yourself. Turning the backend on with v1.4+ of matplotlib (not yet released at time of writing) is as simple as:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import matplotlib \n",
"\n",
"matplotlib.use('nbagg')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now that we've changed the backend, we can go ahead and import pyplot and produce a figure as normal:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"\n",
"plt.plot(np.sin(np.linspace(0, 2*np.pi)))\n",
"plt.show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox \u2265 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",
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" if (!this.supports_binary) {\n",
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" 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.focus_on_mousover = false;\n",
"\n",
" this.root = $('<div/>');\n",
" this.root.attr('style', 'display: inline-block');\n",
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"\n",
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"\n",
" this.imageObj.onload = function() {\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" fig.waiting = false;\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" this.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
" canvas_div.resizable({ resize: mpl.debounce_resize(\n",
" function(event, ui) { fig.request_resize(ui.size.width, ui.size.height); }\n",
" , 50)});\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both;');\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;\")\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
" function mouse_event_fn(event) {\n",
" return fig.mouse_event(event, event['data']);\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",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keydown('key_release', canvas_keyboard_event);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width);\n",
" canvas.attr('height', height);\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"}\n",
"\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",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'];\n",
" var y0 = fig.canvas.height - msg['y0'];\n",
" var x1 = msg['x1'];\n",
" var y1 = fig.canvas.height - msg['y1'];\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.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",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\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",
" 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",
" 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",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (this.focus_on_mouseover && name === 'motion_notify')\n",
" {\n",
" this.canvas.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x;\n",
" var y = canvas_pos.y;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button});\n",
"\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 = function(event, name) {\n",
" /* Don't fire events just when a modifier is changed. Modifiers are\n",
" sent along with other keys. */\n",
" if (event.keyCode >= 16 && event.keyCode <= 20) {\n",
" return;\n",
" }\n",
"\n",
" value = '';\n",
" if (event.ctrlKey) {\n",
" value += \"ctrl+\";\n",
" }\n",
" if (event.altKey) {\n",
" value += \"alt+\";\n",
" }\n",
" value += String.fromCharCode(event.keyCode).toLowerCase();\n",
"\n",
" this.send_message(name, {key: value});\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" var format_dropdown = this.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" this.ondownload(this, format);\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",
"\n",
"mpl.debounce_event = function(func, time){\n",
" var timer;\n",
" return function(event){\n",
" clearTimeout(timer);\n",
" timer = setTimeout(function(){ func(event); }, time);\n",
" };\n",
"}\n",
"\n",
"mpl.debounce_resize = function(func, time){\n",
" var timer;\n",
" return function(event, ui){\n",
" clearTimeout(timer);\n",
" timer = setTimeout(function(){ func(event, ui); }, time);\n",
" };\n",
"}\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" function() { },\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",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
" // Disable right mouse context menu.\n",
" $(fig.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\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",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
" fig.send_message('closing', {});\n",
" fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-danger\" href=\"#\" title=\"Close figure\"><i class=\"fa icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Close figure', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\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 (cell.output_area.outputs[j]['text/html'] == html_output) {\n",
" var output = cell.output_area.outputs[j];\n",
" return [cell, output, 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"
],
"metadata": {},
"output_type": "display_data",
"text": [
"<IPython.core.display.Javascript at 0x10e989e50>"
]
},
{
"html": [
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\">"
],
"metadata": {},
"output_type": "display_data",
"text": [
"<IPython.core.display.HTML at 0x10e989c90>"
]
}
],
"prompt_number": 2
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To avoid re-writing the matplotlib rendering engine in a browser compatible language (i.e. JavaScript), the nbagg backend requires a live IPython session for interactive figures. Notice however that in this static rendering of the notebook, we have a static image of the figure, akin to the existing IPython \"inline\" backend. As with the \"inline\" backend, it is only the snapshot of the figure which is preserved, rather than the figure instance itself (the ability to pickle a figure does make that a possibility though) - essentially, what this means is that we have an opportunity to interact with out data before the figure is cast in stone as an image.\n",
"\n",
"## Features\n",
"\n",
"The \"nbagg\" backend has some pretty unique features which have the potential to be built upon in the future.\n",
"\n",
"One interesting feature of a nbagg figure is that it can be displayed multiple times, with all views on the figure being updated simultaneously (even accross different browsers), so there is a real potential for some collaborative figure investigation when the concept of shared users becomes a reality in the notebook.\n",
"\n",
"I'm keen to make this backend easy to extend such that its easy to add things such as an \"export to mpld3\" button, some snapshotting functionality so that notebook viewers can see multiple views of the same figure in a slideshow and I'm sure there is a whole host of other cool functionality that could be added.\n",
"\n",
"Let me know what you think? Got any ideas on how to make this backend even better? Get in touch in the comments section."
]
}
],
"metadata": {}
}
]
}
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