Interactive distributions.ipynb

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    "# Practice Assignment: Understanding Distributions Through Sampling\n",
    "\n",
    "** *This assignment is optional, and I encourage you to share your solutions with me and your peers in the discussion forums!* **\n",
    "\n",
    "\n",
    "To complete this assignment, create a code cell that:\n",
    "* Creates a number of subplots using the `pyplot subplots` or `matplotlib gridspec` functionality.\n",
    "* Creates an animation, pulling between 100 and 1000 samples from each of the random variables (`x1`, `x2`, `x3`, `x4`) for each plot and plotting this as we did in the lecture on animation.\n",
    "* **Bonus:** Go above and beyond and \"wow\" your classmates (and me!) by looking into matplotlib widgets and adding a widget which allows for parameterization of the distributions behind the sampling animations.\n",
    "\n",
    "\n",
    "Tips:\n",
    "* Before you start, think about the different ways you can create this visualization to be as interesting and effective as possible.\n",
    "* Take a look at the histograms below to get an idea of what the random variables look like, as well as their positioning with respect to one another. This is just a guide, so be creative in how you lay things out!\n",
    "* Try to keep the length of your animation reasonable (roughly between 10 and 30 seconds)."
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       "        alert('Your browser does not have WebSocket support.' +\n",
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       "              'Firefox 4 and 5 are also supported but you ' +\n",
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       "    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",
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       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
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       "\n",
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       "\n",
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       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
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       "        button.append(tooltip_span);\n",
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       "\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",
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       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
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       "\n",
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       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
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       "    );\n",
       "\n",
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       "    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",
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       "\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",
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       "\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",
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       "    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",
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       "        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",
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       "        cursor = 'move';\n",
       "        break;\n",
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       "    fig.rubberband_canvas.style.cursor = cursor;\n",
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       "\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",
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       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7fe09fc59b38>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "%matplotlib notebook\n",
    "\n",
    "# generate 4 random variables from the random, gamma, exponential, and uniform distributions\n",
    "x1 = np.random.normal(-2.5, 1, 10000) #, 10000)\n",
    "x2 = np.random.gamma(2, 1.5, 10000)\n",
    "x3 = np.random.exponential(2, 10000)+7\n",
    "x4 = np.random.uniform(12,20, 10000)\n",
    "\n",
    "# plot the histograms\n",
    "plt.figure(figsize=(9,3))\n",
    "plt.hist(x1, normed=True, bins=20, alpha=0.5)\n",
    "plt.hist(x2, normed=True, bins=20, alpha=0.5)\n",
    "plt.hist(x3, normed=True, bins=20, alpha=0.5)\n",
    "plt.hist(x4, normed=True, bins=20, alpha=0.5);\n",
    "plt.axis([-7,21,0,0.6])\n",
    "\n",
    "plt.text(x1.mean()-1.5, 0.5, 'x1\\nNormal')\n",
    "plt.text(x2.mean()-1.5, 0.5, 'x2\\nGamma')\n",
    "plt.text(x3.mean()-1.5, 0.5, 'x3\\nExponential')\n",
    "plt.text(x4.mean()-1.5, 0.5, 'x4\\nUniform')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interactive bin choice demo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from matplotlib.widgets import RadioButtons\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# create 2x2 grid of axis subplots\n",
    "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex=True)\n",
    "axs = [ax1,ax2,ax3,ax4]\n",
    "\n",
    "# generate 4 random variables from the random, gamma, exponential, and uniform distributions\n",
    "x1 = np.random.normal(-2.0, 3, 50000) #, 10000)\n",
    "x2 = np.random.gamma(2, 1.5, 10000)\n",
    "x3 = np.random.exponential(3, 10000)\n",
    "x4 = np.random.uniform(-5,15, 50000)\n",
    "\n",
    "\n",
    "# draw n = 10, 100, 1000, and 10000 samples from the normal distribution and plot corresponding histograms\n",
    "for n in range(0,len(axs)):\n",
    "    if n==0:\n",
    "        myColor = 'blue'\n",
    "        myTitle = 'Normal'\n",
    "        data = 'x1'\n",
    "    elif n==1:\n",
    "        myColor = 'red'\n",
    "        myTitle = 'Exponential'\n",
    "        data = 'x3'\n",
    "    elif n==2:\n",
    "        myColor = 'green'\n",
    "        myTitle = 'Gamma'\n",
    "\n",
    "        data = 'x2'\n",
    "    else:\n",
    "        myColor = 'cyan'\n",
    "        myTitle = 'Uniform'\n",
    " \n",
    "        data = 'x4'\n",
    "        \n",
    "    # axs[n].hist(eval('x'+str(n+1)), bins=20, alpha=0.5, color=myColor) \n",
    "    axs[n].hist(eval(data), bins=5, alpha=0.5, color=myColor) \n",
    "    \n",
    "    plt.xlim(-10, 25)\n",
    "\n",
    "axs[0].set_title('{}'.format('Normal'))\n",
    "axs[1].set_title('{}'.format('Exponential'))\n",
    "axs[2].set_title('{}'.format('Gamma'))\n",
    "axs[3].set_title('{}'.format('Uniform'))\n",
    "    \n",
    "\n",
    "# define radio button and text\n",
    "rax = plt.axes([0.3, .67, .15, .18], frameon=False)\n",
    "radio = RadioButtons(rax, (5, 10, 20, 30, 40))\n",
    "plt.text(-.05, 1.0, 'Bin Size', fontsize=10)\n",
    "\n",
    "# update function\n",
    "def update(label):\n",
    "    ax1.cla()\n",
    "    axs[0].hist(x1, bins=int(radio.value_selected), alpha=0.5, color='blue')\n",
    "    axs[0].set_title('{}'.format('Normal')) \n",
    "    \n",
    "    ax3.cla()\n",
    "    axs[2].hist(x2, bins=int(radio.value_selected), alpha=0.5, color='green') \n",
    "    axs[2].set_title('{}'.format('Gamma'))\n",
    "    \n",
    "    ax2.cla()\n",
    "    axs[1].hist(x3, bins=int(radio.value_selected), alpha=0.5, color='red') \n",
    "    axs[1].set_title('{}'.format('Exponential'))\n",
    "    \n",
    "    ax4.cla()\n",
    "    axs[3].hist(x4, bins=int(radio.value_selected), alpha=0.5, color='cyan') \n",
    "    axs[3].set_title('{}'.format('Uniform'))\n",
    "    \n",
    "    \n",
    "radio.on_clicked(update)\n",
    "\n"
   ]
  }
 ],
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