ModelMaclane.ipynb

ModelMaclane.ipynb

{
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    {
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        "trusted": true
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      "cell_type": "code",
      "source": "import matplotlib.pyplot as plt\nimport numpy as np\nimport scipy.io as sio\nimport xarray as xr\nimport seawater.eos80 as sw\nimport seawater\nimport scipy.signal as sig\n%matplotlib notebook\n\ndef gmFreq(om, f):\n    \n    B = (2/np.pi) * f / om\n    B = B * (om**2 - f**2)**(-0.5)\n    return B\n    \ndef gmVert(kz, f, jstar, jp, N, b, N0, I, s, t, params):\n    delta = jp*N/N0/2/b;\n    kstar = jstar*N/N0/2/b;\n    \n    A = (1/kstar)*I*(1+((kz-delta)/kstar)**s)**(-t/s)\n    return A\n\n# Get GM kz:\ndef GmOmKz(quant, om, kz, f, N, params):\n    \n    from  scipy.special import gamma\n    \n    b = 1300;\n    N0 = 5.2e-3;\n    E0 = 6.3e-5;\n\n    s = params['s']\n    t = params['t']\n    jp = params['jp']\n    jstar = params['jstar']\n    \n    I = s * gamma(t / s) / gamma(1/s) / gamma((t-1)/s)\n    \n    C = gmVert(kz, f, jstar, jp, N, b, N0, I, s, t, params)\n    B = gmFreq(om, f)\n    if quant.upper()[:3] == 'DIS':\n        R = b**2 * N0 / N *(om**2 - f**2)/om**2\n    elif quant.upper()[:3] == 'SHE':\n        R = (2*np.pi*kz[:, np.newaxis])**2 * (b**2 * N0 * N * (1 + f**2/ om[np.newaxis, :]**2))\n    else:\n        raise ValueError('quant argument %s not recognized'%quant)\n    S = E0 * (C[:, np.newaxis] * B[np.newaxis, :]) * R\n    #bad = (om < f  or om > N)\n    #S[:, bad] = 0\n    return S\n    \ndef GmKz(quant, kz, f, N, params):\n    Nphi = 1000\n    eps = f/N\n    phi = np.arange(1., Nphi+1) * np.arccos(eps) / (Nphi+1)\n    om = f  / np.cos(phi)\n    S = GmOmKz(quant,om,kz,f,N,params)\n    fig, ax = plt.subplots()\n    ax.pcolormesh(S)\n    S = np.trapz(S, om)\n    return S\n\ndef GmOm(quant, om, f, N, params):\n    Nkz = 1000\n    kz = np.logspace(-4,0,Nkz);\n    print(np.shape(kz))\n    S = GmOmKz(quant,om,kz,f,N,params);\n    S = np.trapz(S.T, kz);\n    return S\n\nmGm= np.logspace(-4, -1, 100)\nparams = {'s': 1, 't': 2, 'jp':0, 'jstar':3}\nGM = GmKz('She', mGm, seawater.f(29), 1.44e-3, params)\nprint(seawater.f(29))\nfig, ax = plt.subplots()\nax.loglog(mGm, GM)\n\nomGm= np.logspace(np.log10(seawater.f(29))+1e-5, np.log10(1.44e-3),100)\nparams = {'s': 1, 't': 2, 'jp':0, 'jstar':3}\nGMfreq = GmOm('She', omGm, seawater.f(29), 1.44e-3, params)\nfig, ax = plt.subplots()\nomGM = omGm / np.pi /2.\nax.loglog(omGm, GMfreq)\n",
      "execution_count": 1,
      "outputs": [
        {
          "data": {
            "application/javascript": "/* Put everything inside the global mpl namespace */\nwindow.mpl = {};\n\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n\n}\n\n\nmpl.figure.prototype._root_extra_style = function(canvas_div) {\n\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n    // Updates the figure title.\n    fig.header.textContent = msg['label'];\n}\n\nmpl.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\nmpl.figure.prototype.handle_message = function(fig, msg) {\n    fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n    // Request the server to send over a new figure.\n    fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n    fig.image_mode = msg['mode'];\n}\n\nmpl.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.\nmpl.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\nmpl.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 */\nfunction 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\nmpl.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\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.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\nmpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n\nmpl.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 overridden (by mpl) onmessage function.\n        ws.onmessage(msg['content']['data'])\n    });\n    return ws;\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.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.\nif (IPython.notebook.kernel != null) {\n    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n}\n",
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\" width=\"640\">",
            "text/plain": "<IPython.core.display.HTML object>"
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "7.07046350167e-05\n"
        },
        {
          "data": {
            "application/javascript": "/* Put everything inside the global mpl namespace */\nwindow.mpl = {};\n\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n\n}\n\n\nmpl.figure.prototype._root_extra_style = function(canvas_div) {\n\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n    // Updates the figure title.\n    fig.header.textContent = msg['label'];\n}\n\nmpl.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\nmpl.figure.prototype.handle_message = function(fig, msg) {\n    fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n    // Request the server to send over a new figure.\n    fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n    fig.image_mode = msg['mode'];\n}\n\nmpl.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.\nmpl.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\nmpl.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 */\nfunction 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\nmpl.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\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.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\nmpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n\nmpl.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 overridden (by mpl) onmessage function.\n        ws.onmessage(msg['content']['data'])\n    });\n    return ws;\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.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.\nif (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"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "(1000,)\n"
        },
        {
          "data": {
            "application/javascript": "/* Put everything inside the global mpl namespace */\nwindow.mpl = {};\n\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n\n}\n\n\nmpl.figure.prototype._root_extra_style = function(canvas_div) {\n\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n    // Updates the figure title.\n    fig.header.textContent = msg['label'];\n}\n\nmpl.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\nmpl.figure.prototype.handle_message = function(fig, msg) {\n    fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n    // Request the server to send over a new figure.\n    fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n    fig.image_mode = msg['mode'];\n}\n\nmpl.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.\nmpl.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\nmpl.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 */\nfunction 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\nmpl.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\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.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\nmpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n\nmpl.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 overridden (by mpl) onmessage function.\n        ws.onmessage(msg['content']['data'])\n    });\n    return ws;\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.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.\nif (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": "[<matplotlib.lines.Line2D at 0x1172e5dd8>]"
          },
          "execution_count": 1,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "collapsed": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "try:\n    ds = xr.open_dataset('Data_at_McLane_Phase1_try3.nc')\nexcept:\n    dat = sio.loadmat('Data_at_McLane_Phase1_try3.mat')\n    coordt = ('z', 'mooring', 'time')\n    ds = xr.Dataset(\n        coords={'z':(dat['z'].squeeze()), 'time':(dat['t'].squeeze()), 'mooring':np.arange(1,5)},\n        data_vars={'T':(coordt, dat['T']),\n                  'S':(coordt, dat['S']),\n                  'U':(coordt, dat['U']),\n                  'V':(coordt, dat['V']),\n                  'x':(('mooring'), dat['x'].squeeze()),\n                  'y':(('mooring'), dat['y'].squeeze())\n                  })\n    ds.to_netcdf('Data_at_McLane_Phase1_try3.nc')",
      "execution_count": 3,
      "outputs": []
    },
    {
      "metadata": {
        "collapsed": false,
        "scrolled": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "fig, ax = plt.subplots()\nax.plot(ds.z[1:], np.diff(ds.z))\n",
      "execution_count": 4,
      "outputs": [
        {
          "data": {
            "application/javascript": "/* Put everything inside the global mpl namespace */\nwindow.mpl = {};\n\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n\n}\n\n\nmpl.figure.prototype._root_extra_style = function(canvas_div) {\n\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n    // Updates the figure title.\n    fig.header.textContent = msg['label'];\n}\n\nmpl.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\nmpl.figure.prototype.handle_message = function(fig, msg) {\n    fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n    // Request the server to send over a new figure.\n    fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n    fig.image_mode = msg['mode'];\n}\n\nmpl.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.\nmpl.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\nmpl.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 */\nfunction 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\nmpl.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\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.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\nmpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n\nmpl.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 overridden (by mpl) onmessage function.\n        ws.onmessage(msg['content']['data'])\n    });\n    return ws;\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.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.\nif (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": "[<matplotlib.lines.Line2D at 0x1c2196f390>]"
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "collapsed": false,
        "scrolled": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "try:\n    ds2 = xr.open_dataset('Data_at_McLane_Zint.nc')\nexcept:\n    ds2 = xr.Dataset(\n        coords={'z':(np.arange(0, 6000, 4.)), 'time':ds.time, 'mooring':np.arange(1,5)},\n        data_vars={'x':(('mooring'), ds.x),\n                  'y':(('mooring'), ds.y)\n                  })\n    for td in ['U', 'V', 'T', 'S']:\n        xx = np.zeros([len(ds.mooring), len(ds2.z), len(ds.time)]) + np.NaN\n        for ii in range(4):\n            good = np.where(ds['T'][:, ii, 10] > 0)[0]\n\n            for jj in range(len(ds.time)):\n                aa = np.interp(ds2.z, ds.z[good], ds[td][good, ii, jj])\n                xx[ii, :, jj] = aa\n        ds2[td] = (('mooring', 'z','time'), xx)\n    z = ds2['z'].data[np.newaxis, :, np.newaxis] + 0 * ds2.S\n    ds2['pden'] = (('mooring', 'z','time'), sw.pden(ds2['S'], ds2['T'], z))\n    pmean = np.zeros((4, len(ds2.z))) + np.NaN\n    for i in range(4):\n        good = ds2['pden'][i, :, 0] > 1010\n        pmean[i, good] = np.mean(ds2['pden'][i, good, :], axis=1)\n    ds2['pdenbar'] = (('mooring', 'z'), pmean )\n    ds2['N2bar'] = (('mooring', 'z'), \n                    (ds2.pdenbar.data - ds2.pdenbar.roll(z=1).data) / \n                        (ds2.z.data - ds2.z.roll(z=1).data) * 9.8 / 1000\n                   )\n\n    ds2.to_netcdf('Data_at_McLane_Zint.nc')",
      "execution_count": 8,
      "outputs": []
    },
    {
      "metadata": {
        "collapsed": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "ds2.to_netcdf('Data_at_McLane_Zint.nc')",
      "execution_count": 17,
      "outputs": []
    },
    {
      "metadata": {
        "collapsed": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "fig, axs = plt.subplots()\nax = axs\ndd = ds2.isel(mooring=1, time=slice(-3000, None))\nax.pcolormesh(dd.time, dd.z, dd.V, rasterized=True, cmap='RdYlBu_r', \n             vmin=-0.2, vmax=0.2)\nax.set_ylim(1400, 0)\n",
      "execution_count": 19,
      "outputs": [
        {
          "data": {
            "application/javascript": "/* Put everything inside the global mpl namespace */\nwindow.mpl = {};\n\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n\n}\n\n\nmpl.figure.prototype._root_extra_style = function(canvas_div) {\n\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n    // Updates the figure title.\n    fig.header.textContent = msg['label'];\n}\n\nmpl.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\nmpl.figure.prototype.handle_message = function(fig, msg) {\n    fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n    // Request the server to send over a new figure.\n    fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n    fig.image_mode = msg['mode'];\n}\n\nmpl.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.\nmpl.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\nmpl.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 */\nfunction 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\nmpl.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\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.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\nmpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n\nmpl.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 overridden (by mpl) onmessage function.\n        ws.onmessage(msg['content']['data'])\n    });\n    return ws;\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.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.\nif (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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