diff --git a/docs/examples/driver_examples/Qcodes example with Rohde Schwarz ZN20.ipynb b/docs/examples/driver_examples/Qcodes example with Rohde Schwarz ZN20.ipynb
deleted file mode 100644
index e0e2acad4721..000000000000
--- a/docs/examples/driver_examples/Qcodes example with Rohde Schwarz ZN20.ipynb	
+++ /dev/null
@@ -1,2452 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Qcodes example with Rohde Schwarz ZN20"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Anaconda3\\lib\\site-packages\\IPython\\kernel\\__init__.py:13: ShimWarning: The `IPython.kernel` package has been deprecated. You should import from ipykernel or jupyter_client instead.\n",
-      "  \"You should import from ipykernel or jupyter_client instead.\", ShimWarning)\n"
-     ]
-    },
-    {
-     "data": {
-      "application/javascript": [
-       "/*\r\n",
-       " * Qcodes Jupyter/IPython widgets\r\n",
-       " */\r\n",
-       "require([\r\n",
-       "    'nbextensions/widgets/widgets/js/widget',\r\n",
-       "    'nbextensions/widgets/widgets/js/manager'\r\n",
-       "], function (widget, manager) {\r\n",
-       "\r\n",
-       "    var UpdateView = widget.DOMWidgetView.extend({\r\n",
-       "        render: function() {\r\n",
-       "            window.MYWIDGET = this;\r\n",
-       "            this._interval = 0;\r\n",
-       "            this.update();\r\n",
-       "        },\r\n",
-       "        update: function() {\r\n",
-       "            this.display(this.model.get('_message'));\r\n",
-       "            this.setInterval();\r\n",
-       "        },\r\n",
-       "        display: function(message) {\r\n",
-       "            /*\r\n",
-       "             * display method: override this for custom display logic\r\n",
-       "             */\r\n",
-       "            this.el.innerHTML = message;\r\n",
-       "        },\r\n",
-       "        remove: function() {\r\n",
-       "            clearInterval(this._updater);\r\n",
-       "        },\r\n",
-       "        setInterval: function(newInterval) {\r\n",
-       "            var me = this;\r\n",
-       "            if(newInterval===undefined) newInterval = me.model.get('interval');\r\n",
-       "            if(newInterval===me._interval) return;\r\n",
-       "\r\n",
-       "            me._interval = newInterval;\r\n",
-       "\r\n",
-       "            if(me._updater) clearInterval(me._updater);\r\n",
-       "\r\n",
-       "            if(me._interval) {\r\n",
-       "                me._updater = setInterval(function() {\r\n",
-       "                    me.send({myupdate: true});\r\n",
-       "                    if(!me.model.comm_live) {\r\n",
-       "                        console.log('missing comm, canceling widget updates', me);\r\n",
-       "                        clearInterval(me._updater);\r\n",
-       "                    }\r\n",
-       "                }, me._interval * 1000);\r\n",
-       "            }\r\n",
-       "        }\r\n",
-       "    });\r\n",
-       "    manager.WidgetManager.register_widget_view('UpdateView', UpdateView);\r\n",
-       "\r\n",
-       "    var HiddenUpdateView = UpdateView.extend({\r\n",
-       "        display: function(message) {\r\n",
-       "            this.$el.hide();\r\n",
-       "        }\r\n",
-       "    });\r\n",
-       "    manager.WidgetManager.register_widget_view('HiddenUpdateView', HiddenUpdateView);\r\n",
-       "\r\n",
-       "    var SubprocessView = UpdateView.extend({\r\n",
-       "        render: function() {\r\n",
-       "            var me = this;\r\n",
-       "            me._interval = 0;\r\n",
-       "            me._minimize = '<i class=\"fa-minus fa\"></i>';\r\n",
-       "            me._restore = '<i class=\"fa-plus fa\"></i>';\r\n",
-       "\r\n",
-       "            // max lines of output to show\r\n",
-       "            me.maxOutputLength = 500;\r\n",
-       "\r\n",
-       "            // in case there is already an outputView present,\r\n",
-       "            // like from before restarting the kernel\r\n",
-       "            $('.qcodes-output-view').not(me.$el).remove();\r\n",
-       "\r\n",
-       "            me.$el\r\n",
-       "                .addClass('qcodes-output-view')\r\n",
-       "                .attr('qcodes-state', 'docked')\r\n",
-       "                .html(\r\n",
-       "                    '<div class=\"qcodes-output-header toolbar\">' +\r\n",
-       "                        '<div class=\"qcodes-process-list\"></div>' +\r\n",
-       "                        '<button class=\"btn qcodes-processlines\"><i class=\"fa-list fa\"></i></button>' +\r\n",
-       "                        '<button class=\"btn qcodes-abort-loop disabled\">Abort</button>' +\r\n",
-       "                        '<button class=\"btn qcodes-clear-output disabled qcodes-content\">Clear</button>' +\r\n",
-       "                        '<button class=\"btn js-state qcodes-minimized\"><i class=\"fa-minus fa\"></i></button>' +\r\n",
-       "                        '<button class=\"btn js-state qcodes-docked\"><i class=\"fa-toggle-up fa\"></i></button>' +\r\n",
-       "                        '<button class=\"btn js-state qcodes-floated\"><i class=\"fa-arrows fa\"></i></button>' +\r\n",
-       "                    '</div>' +\r\n",
-       "                    '<pre class=\"qcodes-content\"></pre>'\r\n",
-       "                );\r\n",
-       "\r\n",
-       "            me.clearButton = me.$el.find('.qcodes-clear-output');\r\n",
-       "            me.minButton = me.$el.find('.qcodes-minimize');\r\n",
-       "            me.outputArea = me.$el.find('pre');\r\n",
-       "            me.subprocessList = me.$el.find('.qcodes-process-list');\r\n",
-       "            me.abortButton = me.$el.find('.qcodes-abort-loop');\r\n",
-       "            me.processLinesButton = me.$el.find('.qcodes-processlines')\r\n",
-       "\r\n",
-       "            me.outputLines = [];\r\n",
-       "\r\n",
-       "            me.clearButton.click(function() {\r\n",
-       "                me.outputArea.html('');\r\n",
-       "                me.clearButton.addClass('disabled');\r\n",
-       "            });\r\n",
-       "\r\n",
-       "            me.abortButton.click(function() {\r\n",
-       "                me.send({abort: true});\r\n",
-       "            });\r\n",
-       "\r\n",
-       "            me.processLinesButton.click(function() {\r\n",
-       "                // toggle multiline process list display\r\n",
-       "                me.subprocessesMultiline = !me.subprocessesMultiline;\r\n",
-       "                me.showSubprocesses();\r\n",
-       "            });\r\n",
-       "\r\n",
-       "            me.$el.find('.js-state').click(function() {\r\n",
-       "                var state = this.className.substr(this.className.indexOf('qcodes'))\r\n",
-       "                        .split('-')[1].split(' ')[0];\r\n",
-       "                me.model.set('_state', state);\r\n",
-       "            });\r\n",
-       "\r\n",
-       "            $(window)\r\n",
-       "                .off('resize.qcodes')\r\n",
-       "                .on('resize.qcodes', function() {me.clipBounds();});\r\n",
-       "\r\n",
-       "            me.update();\r\n",
-       "        },\r\n",
-       "\r\n",
-       "        updateState: function() {\r\n",
-       "            var me = this,\r\n",
-       "                oldState = me.$el.attr('qcodes-state'),\r\n",
-       "                state = me.model.get('_state');\r\n",
-       "\r\n",
-       "            if(state === oldState) return;\r\n",
-       "\r\n",
-       "            setTimeout(function() {\r\n",
-       "                // not sure why I can't pop it out of the widgetarea in render, but it seems that\r\n",
-       "                // some other bit of code resets the parent after render if I do it there.\r\n",
-       "                // To be safe, just do it on every state click.\r\n",
-       "                me.$el.appendTo('body');\r\n",
-       "\r\n",
-       "                if(oldState === 'floated') {\r\n",
-       "                    console.log('here');\r\n",
-       "                    me.$el.draggable('destroy').css({left:'', top: ''});\r\n",
-       "                }\r\n",
-       "\r\n",
-       "                me.$el.attr('qcodes-state', state);\r\n",
-       "\r\n",
-       "                if(state === 'floated') {\r\n",
-       "                    me.$el\r\n",
-       "                        .draggable({stop: function() { me.clipBounds(); }})\r\n",
-       "                        .css({\r\n",
-       "                            left: window.innerWidth - me.$el.width() - 15,\r\n",
-       "                            top: window.innerHeight - me.$el.height() - 10\r\n",
-       "                        });\r\n",
-       "                }\r\n",
-       "\r\n",
-       "                // any previous highlighting is now moot\r\n",
-       "                me.$el.removeClass('qcodes-highlight');\r\n",
-       "            }, 0);\r\n",
-       "\r\n",
-       "        },\r\n",
-       "\r\n",
-       "        clipBounds: function() {\r\n",
-       "            var me = this;\r\n",
-       "            if(me.$el.attr('qcodes-state') === 'floated') {\r\n",
-       "                var bounds = me.$el[0].getBoundingClientRect(),\r\n",
-       "                    minVis = 40,\r\n",
-       "                    maxLeft = window.innerWidth - minVis,\r\n",
-       "                    minLeft = minVis - bounds.width,\r\n",
-       "                    maxTop = window.innerHeight - minVis;\r\n",
-       "\r\n",
-       "                if(bounds.left > maxLeft) me.$el.css('left', maxLeft);\r\n",
-       "                else if(bounds.left < minLeft) me.$el.css('left', minLeft);\r\n",
-       "\r\n",
-       "                if(bounds.top > maxTop) me.$el.css('top', maxTop);\r\n",
-       "                else if(bounds.top < 0) me.$el.css('top', 0);\r\n",
-       "            }\r\n",
-       "        },\r\n",
-       "\r\n",
-       "        display: function(message) {\r\n",
-       "            var me = this;\r\n",
-       "            if(message) {\r\n",
-       "                var initialScroll = me.outputArea.scrollTop();\r\n",
-       "                me.outputArea.scrollTop(me.outputArea.prop('scrollHeight'));\r\n",
-       "                var scrollBottom = me.outputArea.scrollTop();\r\n",
-       "\r\n",
-       "                if(me.$el.attr('qcodes-state') === 'minimized') {\r\n",
-       "                    // if we add text and the box is minimized, highlight the\r\n",
-       "                    // title bar to alert the user that there are new messages.\r\n",
-       "                    // remove then add the class, so we get the animation again\r\n",
-       "                    // if it's already highlighted\r\n",
-       "                    me.$el.removeClass('qcodes-highlight');\r\n",
-       "                    setTimeout(function(){\r\n",
-       "                        me.$el.addClass('qcodes-highlight');\r\n",
-       "                    }, 0);\r\n",
-       "                }\r\n",
-       "\r\n",
-       "                var newLines = message.split('\\n'),\r\n",
-       "                    out = me.outputLines,\r\n",
-       "                    outLen = out.length;\r\n",
-       "                if(outLen) out[outLen - 1] += newLines[0];\r\n",
-       "                else out.push(newLines[0]);\r\n",
-       "\r\n",
-       "                for(var i = 1; i < newLines.length; i++) {\r\n",
-       "                    out.push(newLines[i]);\r\n",
-       "                }\r\n",
-       "\r\n",
-       "                if(out.length > me.maxOutputLength) {\r\n",
-       "                    out.splice(0, out.length - me.maxOutputLength + 1,\r\n",
-       "                        '<<< Output clipped >>>');\r\n",
-       "                }\r\n",
-       "\r\n",
-       "                me.outputArea.text(out.join('\\n'));\r\n",
-       "                me.clearButton.removeClass('disabled');\r\n",
-       "\r\n",
-       "                // if we were scrolled to the bottom initially, make sure\r\n",
-       "                // we stay that way.\r\n",
-       "                me.outputArea.scrollTop(initialScroll === scrollBottom ?\r\n",
-       "                    me.outputArea.prop('scrollHeight') : initialScroll);\r\n",
-       "            }\r\n",
-       "\r\n",
-       "            me.showSubprocesses();\r\n",
-       "            me.updateState();\r\n",
-       "        },\r\n",
-       "\r\n",
-       "        showSubprocesses: function() {\r\n",
-       "            var me = this,\r\n",
-       "                replacer = me.subprocessesMultiline ? '<br>' : ', ',\r\n",
-       "                processes = (me.model.get('_processes') || '')\r\n",
-       "                    .replace(/\\n/g, '&gt;' + replacer + '&lt;');\r\n",
-       "\r\n",
-       "            if(processes) processes = '&lt;' + processes + '&gt;';\r\n",
-       "            else processes = 'No subprocesses';\r\n",
-       "\r\n",
-       "            me.abortButton.toggleClass('disabled', processes.indexOf('Measurement')===-1);\r\n",
-       "\r\n",
-       "            me.subprocessList.html(processes);\r\n",
-       "        }\r\n",
-       "    });\r\n",
-       "    manager.WidgetManager.register_widget_view('SubprocessView', SubprocessView);\r\n",
-       "});\r\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Javascript object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<style>.qcodes-output-view:not(.ui-draggable) {\r\n",
-       "    bottom: 0;\r\n",
-       "    right: 5px;\r\n",
-       "}\r\n",
-       ".qcodes-output-view {\r\n",
-       "    position: fixed;\r\n",
-       "    z-index: 999;\r\n",
-       "    background-color: #fff;\r\n",
-       "    box-shadow: 0 0 12px 1px rgba(87, 87, 87, 0.2);\r\n",
-       "}\r\n",
-       "\r\n",
-       ".qcodes-output-header {\r\n",
-       "    float: right;\r\n",
-       "}\r\n",
-       "\r\n",
-       ".qcodes-highlight {\r\n",
-       "    animation: pulse 1s linear;\r\n",
-       "    background-color: #fa4;\r\n",
-       "}\r\n",
-       "\r\n",
-       "@keyframes pulse {\r\n",
-       "    0% {\r\n",
-       "        background-color: #f00;\r\n",
-       "    }\r\n",
-       "    100% {\r\n",
-       "        background-color: #fa4;\r\n",
-       "    }\r\n",
-       "}\r\n",
-       "\r\n",
-       ".qcodes-process-list {\r\n",
-       "    float: left;\r\n",
-       "    max-width: 780px;\r\n",
-       "    margin: 3px 5px 3px 10px;\r\n",
-       "    overflow: hidden;\r\n",
-       "    white-space: nowrap;\r\n",
-       "    text-overflow: ellipsis;\r\n",
-       "}\r\n",
-       "\r\n",
-       ".qcodes-output-view[qcodes-state=minimized] .qcodes-process-list {\r\n",
-       "    max-width: 300px;\r\n",
-       "}\r\n",
-       "\r\n",
-       ".qcodes-output-view span {\r\n",
-       "    padding: 2px 6px 3px 12px;\r\n",
-       "}\r\n",
-       "\r\n",
-       ".qcodes-output-view .btn {\r\n",
-       "    margin: 0 3px 0 0;\r\n",
-       "}\r\n",
-       "\r\n",
-       ".qcodes-output-view[qcodes-state=docked] .qcodes-docked,\r\n",
-       ".qcodes-output-view[qcodes-state=floated] .qcodes-floated,\r\n",
-       ".qcodes-output-view[qcodes-state=minimized] .qcodes-minimized,\r\n",
-       ".qcodes-output-view[qcodes-state=minimized] .qcodes-content {\r\n",
-       "    display: none;\r\n",
-       "}\r\n",
-       "\r\n",
-       ".qcodes-output-view .disabled {\r\n",
-       "    opacity: 0.4;\r\n",
-       "}\r\n",
-       "\r\n",
-       ".qcodes-abort-loop {\r\n",
-       "    background-color: #844;\r\n",
-       "    color: #fff;\r\n",
-       "}\r\n",
-       "\r\n",
-       ".qcodes-output-view pre {\r\n",
-       "    clear: both;\r\n",
-       "    margin: 0;\r\n",
-       "    border: 0;\r\n",
-       "    border-top: 1px solid #ccc;\r\n",
-       "    background-color: #ffe;\r\n",
-       "    min-height: 50px;\r\n",
-       "    max-height: 400px;\r\n",
-       "    min-width: 400px;\r\n",
-       "    max-width: 1000px;\r\n",
-       "}</style>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "%matplotlib nbagg\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "from imp import reload\n",
-    "\n",
-    "import qcodes as qc\n",
-    "\n",
-    "qc.set_mp_method('spawn')  # force Windows behavior on mac\n",
-    "\n",
-    "# this makes a widget in the corner of the window to show and control\n",
-    "# subprocesses and any output they would print to the terminal\n",
-    "qc.show_subprocess_widget()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<module 'qcodes.instrument_drivers.rohde_schwarz.ZNB20' from 'a:\\\\qcodesfolder\\\\qcodes\\\\instrument_drivers\\\\rohde_schwarz\\\\ZNB20.py'>"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import qcodes.instrument_drivers.rohde_schwarz.ZNB20 as vna; reload(vna)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Connected to: Rohde-Schwarz ZNB20-2Port (serial:1311601062101551, firmware:2.10) in 0.04s\n"
-     ]
-    }
-   ],
-   "source": [
-    "v1 =vna.ZNB20('VNA', 'TCPIP0::172.20.2.234::inst0::INSTR', server_name=None)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "station = qc.Station(v1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "  1.2923650088441336])"
-      ]
-     },
-     "execution_count": 54,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "v1.trace()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "v1.start(10e6)\n",
-    "v1.stop(800e6)\n",
-    "v1.avg(2)\n",
-    "v1.npts(100)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "DataSet:\n",
-      "   mode     = DataMode.LOCAL\n",
-      "   location = '2016-07-07/14-59-21'\n",
-      "   <Type>   | <array_id>    | <array.name> | <array.shape>\n",
-      "   Setpoint | VNA_power_set | power        | (14,)\n",
-      "   Measured | frequency     | frequency    | (14, 201)\n",
-      "   Measured | VNA_magnitude | magnitude    | (14, 201)\n",
-      "   Measured | VNA_phase     | phase        | (14, 201)\n",
-      "started at 2016-07-07 14:59:22\n"
-     ]
-    }
-   ],
-   "source": [
-    "data1 = qc.Loop(v1.power[-15:-1:1]).each(v1.trace).run(background = False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
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-       "    if (typeof(WebSocket) !== 'undefined') {\n",
-       "        return WebSocket;\n",
-       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
-       "        return MozWebSocket;\n",
-       "    } else {\n",
-       "        alert('Your browser does not have WebSocket support.' +\n",
-       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
-       "              'Firefox 4 and 5 are also supported but you ' +\n",
-       "              'have to enable WebSockets in about:config.');\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
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-       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
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-       "            warnings.style.display = 'block';\n",
-       "            warnings.textContent = (\n",
-       "                \"This browser does not support binary websocket messages. \" +\n",
-       "                    \"Performance may be slow.\");\n",
-       "        }\n",
-       "    }\n",
-       "\n",
-       "    this.imageObj = new Image();\n",
-       "\n",
-       "    this.context = undefined;\n",
-       "    this.message = undefined;\n",
-       "    this.canvas = undefined;\n",
-       "    this.rubberband_canvas = undefined;\n",
-       "    this.rubberband_context = undefined;\n",
-       "    this.format_dropdown = undefined;\n",
-       "\n",
-       "    this.image_mode = 'full';\n",
-       "\n",
-       "    this.root = $('<div/>');\n",
-       "    this._root_extra_style(this.root)\n",
-       "    this.root.attr('style', 'display: inline-block');\n",
-       "\n",
-       "    $(parent_element).append(this.root);\n",
-       "\n",
-       "    this._init_header(this);\n",
-       "    this._init_canvas(this);\n",
-       "    this._init_toolbar(this);\n",
-       "\n",
-       "    var fig = this;\n",
-       "\n",
-       "    this.waiting = false;\n",
-       "\n",
-       "    this.ws.onopen =  function () {\n",
-       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
-       "            fig.send_message(\"send_image_mode\", {});\n",
-       "            fig.send_message(\"refresh\", {});\n",
-       "        }\n",
-       "\n",
-       "    this.imageObj.onload = function() {\n",
-       "            if (fig.image_mode == 'full') {\n",
-       "                // Full images could contain transparency (where diff images\n",
-       "                // almost always do), so we need to clear the canvas so that\n",
-       "                // there is no ghosting.\n",
-       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
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-       "\n",
-       "    this.imageObj.onunload = function() {\n",
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-       "\n",
-       "    this.ws.onmessage = this._make_on_message_function(this);\n",
-       "\n",
-       "    this.ondownload = ondownload;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_header = function() {\n",
-       "    var titlebar = $(\n",
-       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
-       "        'ui-helper-clearfix\"/>');\n",
-       "    var titletext = $(\n",
-       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
-       "        'text-align: center; padding: 3px;\"/>');\n",
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-       "    this.root.append(titlebar);\n",
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-       "}\n",
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-       "\n",
-       "\n",
-       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
-       "\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
-       "\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_canvas = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var canvas_div = $('<div/>');\n",
-       "\n",
-       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
-       "\n",
-       "    function canvas_keyboard_event(event) {\n",
-       "        return fig.key_event(event, event['data']);\n",
-       "    }\n",
-       "\n",
-       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
-       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
-       "    this.canvas_div = canvas_div\n",
-       "    this._canvas_extra_style(canvas_div)\n",
-       "    this.root.append(canvas_div);\n",
-       "\n",
-       "    var canvas = $('<canvas/>');\n",
-       "    canvas.addClass('mpl-canvas');\n",
-       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
-       "\n",
-       "    this.canvas = canvas[0];\n",
-       "    this.context = canvas[0].getContext(\"2d\");\n",
-       "\n",
-       "    var rubberband = $('<canvas/>');\n",
-       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
-       "\n",
-       "    var pass_mouse_events = true;\n",
-       "\n",
-       "    canvas_div.resizable({\n",
-       "        start: function(event, ui) {\n",
-       "            pass_mouse_events = false;\n",
-       "        },\n",
-       "        resize: function(event, ui) {\n",
-       "            fig.request_resize(ui.size.width, ui.size.height);\n",
-       "        },\n",
-       "        stop: function(event, ui) {\n",
-       "            pass_mouse_events = true;\n",
-       "            fig.request_resize(ui.size.width, ui.size.height);\n",
-       "        },\n",
-       "    });\n",
-       "\n",
-       "    function mouse_event_fn(event) {\n",
-       "        if (pass_mouse_events)\n",
-       "            return fig.mouse_event(event, event['data']);\n",
-       "    }\n",
-       "\n",
-       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
-       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
-       "    // Throttle sequential mouse events to 1 every 20ms.\n",
-       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
-       "\n",
-       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
-       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
-       "\n",
-       "    canvas_div.on(\"wheel\", function (event) {\n",
-       "        event = event.originalEvent;\n",
-       "        event['data'] = 'scroll'\n",
-       "        if (event.deltaY < 0) {\n",
-       "            event.step = 1;\n",
-       "        } else {\n",
-       "            event.step = -1;\n",
-       "        }\n",
-       "        mouse_event_fn(event);\n",
-       "    });\n",
-       "\n",
-       "    canvas_div.append(canvas);\n",
-       "    canvas_div.append(rubberband);\n",
-       "\n",
-       "    this.rubberband = rubberband;\n",
-       "    this.rubberband_canvas = rubberband[0];\n",
-       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
-       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
-       "\n",
-       "    this._resize_canvas = function(width, height) {\n",
-       "        // Keep the size of the canvas, canvas container, and rubber band\n",
-       "        // canvas in synch.\n",
-       "        canvas_div.css('width', width)\n",
-       "        canvas_div.css('height', height)\n",
-       "\n",
-       "        canvas.attr('width', width);\n",
-       "        canvas.attr('height', height);\n",
-       "\n",
-       "        rubberband.attr('width', width);\n",
-       "        rubberband.attr('height', height);\n",
-       "    }\n",
-       "\n",
-       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
-       "    // upon first draw.\n",
-       "    this._resize_canvas(600, 600);\n",
-       "\n",
-       "    // Disable right mouse context menu.\n",
-       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
-       "        return false;\n",
-       "    });\n",
-       "\n",
-       "    function set_focus () {\n",
-       "        canvas.focus();\n",
-       "        canvas_div.focus();\n",
-       "    }\n",
-       "\n",
-       "    window.setTimeout(set_focus, 100);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_toolbar = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var nav_element = $('<div/>')\n",
-       "    nav_element.attr('style', 'width: 100%');\n",
-       "    this.root.append(nav_element);\n",
-       "\n",
-       "    // Define a callback function for later on.\n",
-       "    function toolbar_event(event) {\n",
-       "        return fig.toolbar_button_onclick(event['data']);\n",
-       "    }\n",
-       "    function toolbar_mouse_event(event) {\n",
-       "        return fig.toolbar_button_onmouseover(event['data']);\n",
-       "    }\n",
-       "\n",
-       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
-       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
-       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
-       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
-       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
-       "\n",
-       "        if (!name) {\n",
-       "            // put a spacer in here.\n",
-       "            continue;\n",
-       "        }\n",
-       "        var button = $('<button/>');\n",
-       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
-       "                        'ui-button-icon-only');\n",
-       "        button.attr('role', 'button');\n",
-       "        button.attr('aria-disabled', 'false');\n",
-       "        button.click(method_name, toolbar_event);\n",
-       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
-       "\n",
-       "        var icon_img = $('<span/>');\n",
-       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
-       "        icon_img.addClass(image);\n",
-       "        icon_img.addClass('ui-corner-all');\n",
-       "\n",
-       "        var tooltip_span = $('<span/>');\n",
-       "        tooltip_span.addClass('ui-button-text');\n",
-       "        tooltip_span.html(tooltip);\n",
-       "\n",
-       "        button.append(icon_img);\n",
-       "        button.append(tooltip_span);\n",
-       "\n",
-       "        nav_element.append(button);\n",
-       "    }\n",
-       "\n",
-       "    var fmt_picker_span = $('<span/>');\n",
-       "\n",
-       "    var fmt_picker = $('<select/>');\n",
-       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
-       "    fmt_picker_span.append(fmt_picker);\n",
-       "    nav_element.append(fmt_picker_span);\n",
-       "    this.format_dropdown = fmt_picker[0];\n",
-       "\n",
-       "    for (var ind in mpl.extensions) {\n",
-       "        var fmt = mpl.extensions[ind];\n",
-       "        var option = $(\n",
-       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option)\n",
-       "    }\n",
-       "\n",
-       "    // Add hover states to the ui-buttons\n",
-       "    $( \".ui-button\" ).hover(\n",
-       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
-       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
-       "    );\n",
-       "\n",
-       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
-       "    nav_element.append(status_bar);\n",
-       "    this.message = status_bar[0];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
-       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
-       "    // which will in turn request a refresh of the image.\n",
-       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.send_message = function(type, properties) {\n",
-       "    properties['type'] = type;\n",
-       "    properties['figure_id'] = this.id;\n",
-       "    this.ws.send(JSON.stringify(properties));\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.send_draw_message = function() {\n",
-       "    if (!this.waiting) {\n",
-       "        this.waiting = true;\n",
-       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
-       "    }\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
-       "    var format_dropdown = fig.format_dropdown;\n",
-       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
-       "    fig.ondownload(fig, format);\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
-       "    var size = msg['size'];\n",
-       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
-       "        fig._resize_canvas(size[0], size[1]);\n",
-       "        fig.send_message(\"refresh\", {});\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
-       "    var x0 = msg['x0'];\n",
-       "    var y0 = fig.canvas.height - msg['y0'];\n",
-       "    var x1 = msg['x1'];\n",
-       "    var y1 = fig.canvas.height - msg['y1'];\n",
-       "    x0 = Math.floor(x0) + 0.5;\n",
-       "    y0 = Math.floor(y0) + 0.5;\n",
-       "    x1 = Math.floor(x1) + 0.5;\n",
-       "    y1 = Math.floor(y1) + 0.5;\n",
-       "    var min_x = Math.min(x0, x1);\n",
-       "    var min_y = Math.min(y0, y1);\n",
-       "    var width = Math.abs(x1 - x0);\n",
-       "    var height = Math.abs(y1 - y0);\n",
-       "\n",
-       "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
-       "\n",
-       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
-       "    // Updates the figure title.\n",
-       "    fig.header.textContent = msg['label'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
-       "    var cursor = msg['cursor'];\n",
-       "    switch(cursor)\n",
-       "    {\n",
-       "    case 0:\n",
-       "        cursor = 'pointer';\n",
-       "        break;\n",
-       "    case 1:\n",
-       "        cursor = 'default';\n",
-       "        break;\n",
-       "    case 2:\n",
-       "        cursor = 'crosshair';\n",
-       "        break;\n",
-       "    case 3:\n",
-       "        cursor = 'move';\n",
-       "        break;\n",
-       "    }\n",
-       "    fig.rubberband_canvas.style.cursor = cursor;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
-       "    fig.message.textContent = msg['message'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
-       "    // Request the server to send over a new figure.\n",
-       "    fig.send_draw_message();\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
-       "    fig.image_mode = msg['mode'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.updated_canvas_event = function() {\n",
-       "    // Called whenever the canvas gets updated.\n",
-       "    this.send_message(\"ack\", {});\n",
-       "}\n",
-       "\n",
-       "// A function to construct a web socket function for onmessage handling.\n",
-       "// Called in the figure constructor.\n",
-       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
-       "    return function socket_on_message(evt) {\n",
-       "        if (evt.data instanceof Blob) {\n",
-       "            /* FIXME: We get \"Resource interpreted as Image but\n",
-       "             * transferred with MIME type text/plain:\" errors on\n",
-       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
-       "             * to be part of the websocket stream */\n",
-       "            evt.data.type = \"image/png\";\n",
-       "\n",
-       "            /* Free the memory for the previous frames */\n",
-       "            if (fig.imageObj.src) {\n",
-       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
-       "                    fig.imageObj.src);\n",
-       "            }\n",
-       "\n",
-       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
-       "                evt.data);\n",
-       "            fig.updated_canvas_event();\n",
-       "            return;\n",
-       "        }\n",
-       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
-       "            fig.imageObj.src = evt.data;\n",
-       "            fig.updated_canvas_event();\n",
-       "            return;\n",
-       "        }\n",
-       "\n",
-       "        var msg = JSON.parse(evt.data);\n",
-       "        var msg_type = msg['type'];\n",
-       "\n",
-       "        // Call the  \"handle_{type}\" callback, which takes\n",
-       "        // the figure and JSON message as its only arguments.\n",
-       "        try {\n",
-       "            var callback = fig[\"handle_\" + msg_type];\n",
-       "        } catch (e) {\n",
-       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
-       "            return;\n",
-       "        }\n",
-       "\n",
-       "        if (callback) {\n",
-       "            try {\n",
-       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
-       "                callback(fig, msg);\n",
-       "            } catch (e) {\n",
-       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
-       "            }\n",
-       "        }\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
-       "mpl.findpos = function(e) {\n",
-       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
-       "    var targ;\n",
-       "    if (!e)\n",
-       "        e = window.event;\n",
-       "    if (e.target)\n",
-       "        targ = e.target;\n",
-       "    else if (e.srcElement)\n",
-       "        targ = e.srcElement;\n",
-       "    if (targ.nodeType == 3) // defeat Safari bug\n",
-       "        targ = targ.parentNode;\n",
-       "\n",
-       "    // jQuery normalizes the pageX and pageY\n",
-       "    // pageX,Y are the mouse positions relative to the document\n",
-       "    // offset() returns the position of the element relative to the document\n",
-       "    var x = e.pageX - $(targ).offset().left;\n",
-       "    var y = e.pageY - $(targ).offset().top;\n",
-       "\n",
-       "    return {\"x\": x, \"y\": y};\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
-       "    var canvas_pos = mpl.findpos(event)\n",
-       "\n",
-       "    if (name === 'button_press')\n",
-       "    {\n",
-       "        this.canvas.focus();\n",
-       "        this.canvas_div.focus();\n",
-       "    }\n",
-       "\n",
-       "    var x = canvas_pos.x;\n",
-       "    var y = canvas_pos.y;\n",
-       "\n",
-       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
-       "                             step: event.step});\n",
-       "\n",
-       "    /* This prevents the web browser from automatically changing to\n",
-       "     * the text insertion cursor when the button is pressed.  We want\n",
-       "     * to control all of the cursor setting manually through the\n",
-       "     * 'cursor' event from matplotlib */\n",
-       "    event.preventDefault();\n",
-       "    return false;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
-       "    // Handle any extra behaviour associated with a key event\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.key_event = function(event, name) {\n",
-       "\n",
-       "    // Prevent repeat events\n",
-       "    if (name == 'key_press')\n",
-       "    {\n",
-       "        if (event.which === this._key)\n",
-       "            return;\n",
-       "        else\n",
-       "            this._key = event.which;\n",
-       "    }\n",
-       "    if (name == 'key_release')\n",
-       "        this._key = null;\n",
-       "\n",
-       "    var value = '';\n",
-       "    if (event.ctrlKey && event.which != 17)\n",
-       "        value += \"ctrl+\";\n",
-       "    if (event.altKey && event.which != 18)\n",
-       "        value += \"alt+\";\n",
-       "    if (event.shiftKey && event.which != 16)\n",
-       "        value += \"shift+\";\n",
-       "\n",
-       "    value += 'k';\n",
-       "    value += event.which.toString();\n",
-       "\n",
-       "    this._key_event_extra(event, name);\n",
-       "\n",
-       "    this.send_message(name, {key: value});\n",
-       "    return false;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
-       "    if (name == 'download') {\n",
-       "        this.handle_save(this, null);\n",
-       "    } else {\n",
-       "        this.send_message(\"toolbar_button\", {name: name});\n",
-       "    }\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
-       "    this.message.textContent = tooltip;\n",
-       "};\n",
-       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
-       "\n",
-       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
-       "\n",
-       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
-       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
-       "    // object with the appropriate methods. Currently this is a non binary\n",
-       "    // socket, so there is still some room for performance tuning.\n",
-       "    var ws = {};\n",
-       "\n",
-       "    ws.close = function() {\n",
-       "        comm.close()\n",
-       "    };\n",
-       "    ws.send = function(m) {\n",
-       "        //console.log('sending', m);\n",
-       "        comm.send(m);\n",
-       "    };\n",
-       "    // Register the callback with on_msg.\n",
-       "    comm.on_msg(function(msg) {\n",
-       "        //console.log('receiving', msg['content']['data'], msg);\n",
-       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
-       "        ws.onmessage(msg['content']['data'])\n",
-       "    });\n",
-       "    return ws;\n",
-       "}\n",
-       "\n",
-       "mpl.mpl_figure_comm = function(comm, msg) {\n",
-       "    // This is the function which gets called when the mpl process\n",
-       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
-       "\n",
-       "    var id = msg.content.data.id;\n",
-       "    // Get hold of the div created by the display call when the Comm\n",
-       "    // socket was opened in Python.\n",
-       "    var element = $(\"#\" + id);\n",
-       "    var ws_proxy = comm_websocket_adapter(comm)\n",
-       "\n",
-       "    function ondownload(figure, format) {\n",
-       "        window.open(figure.imageObj.src);\n",
-       "    }\n",
-       "\n",
-       "    var fig = new mpl.figure(id, ws_proxy,\n",
-       "                           ondownload,\n",
-       "                           element.get(0));\n",
-       "\n",
-       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
-       "    // web socket which is closed, not our websocket->open comm proxy.\n",
-       "    ws_proxy.onopen();\n",
-       "\n",
-       "    fig.parent_element = element.get(0);\n",
-       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
-       "    if (!fig.cell_info) {\n",
-       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
-       "        return;\n",
-       "    }\n",
-       "\n",
-       "    var output_index = fig.cell_info[2]\n",
-       "    var cell = fig.cell_info[0];\n",
-       "\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
-       "    // Update the output cell to use the data from the current canvas.\n",
-       "    fig.push_to_output();\n",
-       "    var dataURL = fig.canvas.toDataURL();\n",
-       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
-       "    // the notebook keyboard shortcuts fail.\n",
-       "    IPython.keyboard_manager.enable()\n",
-       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
-       "    fig.send_message('closing', {});\n",
-       "    fig.ws.close()\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
-       "    // Turn the data on the canvas into data in the output cell.\n",
-       "    var dataURL = this.canvas.toDataURL();\n",
-       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.updated_canvas_event = function() {\n",
-       "    // Tell IPython that the notebook contents must change.\n",
-       "    IPython.notebook.set_dirty(true);\n",
-       "    this.send_message(\"ack\", {});\n",
-       "    var fig = this;\n",
-       "    // Wait a second, then push the new image to the DOM so\n",
-       "    // that it is saved nicely (might be nice to debounce this).\n",
-       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_toolbar = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var nav_element = $('<div/>')\n",
-       "    nav_element.attr('style', 'width: 100%');\n",
-       "    this.root.append(nav_element);\n",
-       "\n",
-       "    // Define a callback function for later on.\n",
-       "    function toolbar_event(event) {\n",
-       "        return fig.toolbar_button_onclick(event['data']);\n",
-       "    }\n",
-       "    function toolbar_mouse_event(event) {\n",
-       "        return fig.toolbar_button_onmouseover(event['data']);\n",
-       "    }\n",
-       "\n",
-       "    for(var toolbar_ind in mpl.toolbar_items){\n",
-       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
-       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
-       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
-       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
-       "\n",
-       "        if (!name) { continue; };\n",
-       "\n",
-       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
-       "        button.click(method_name, toolbar_event);\n",
-       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
-       "        nav_element.append(button);\n",
-       "    }\n",
-       "\n",
-       "    // Add the status bar.\n",
-       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
-       "    nav_element.append(status_bar);\n",
-       "    this.message = status_bar[0];\n",
-       "\n",
-       "    // Add the close button to the window.\n",
-       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
-       "    var button = $('<button class=\"btn btn-mini btn-danger\" href=\"#\" title=\"Close figure\"><i class=\"fa fa-times icon-remove icon-large\"></i></button>');\n",
-       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
-       "    button.mouseover('Close figure', toolbar_mouse_event);\n",
-       "    buttongrp.append(button);\n",
-       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
-       "    titlebar.prepend(buttongrp);\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
-       "    // this is important to make the div 'focusable\n",
-       "    el.attr('tabindex', 0)\n",
-       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
-       "    // off when our div gets focus\n",
-       "\n",
-       "    // location in version 3\n",
-       "    if (IPython.notebook.keyboard_manager) {\n",
-       "        IPython.notebook.keyboard_manager.register_events(el);\n",
-       "    }\n",
-       "    else {\n",
-       "        // location in version 2\n",
-       "        IPython.keyboard_manager.register_events(el);\n",
-       "    }\n",
-       "\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
-       "    var manager = IPython.notebook.keyboard_manager;\n",
-       "    if (!manager)\n",
-       "        manager = IPython.keyboard_manager;\n",
-       "\n",
-       "    // Check for shift+enter\n",
-       "    if (event.shiftKey && event.which == 13) {\n",
-       "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
-       "    }\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
-       "    fig.ondownload(fig, null);\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.find_output_cell = function(html_output) {\n",
-       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
-       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
-       "    // IPython event is triggered only after the cells have been serialised, which for\n",
-       "    // our purposes (turning an active figure into a static one), is too late.\n",
-       "    var cells = IPython.notebook.get_cells();\n",
-       "    var ncells = cells.length;\n",
-       "    for (var i=0; i<ncells; i++) {\n",
-       "        var cell = cells[i];\n",
-       "        if (cell.cell_type === 'code'){\n",
-       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
-       "                var data = cell.output_area.outputs[j];\n",
-       "                if (data.data) {\n",
-       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
-       "                    data = data.data;\n",
-       "                }\n",
-       "                if (data['text/html'] == html_output) {\n",
-       "                    return [cell, data, j];\n",
-       "                }\n",
-       "            }\n",
-       "        }\n",
-       "    }\n",
-       "}\n",
-       "\n",
-       "// Register the function which deals with the matplotlib target/channel.\n",
-       "// The kernel may be null if the page has been refreshed.\n",
-       "if (IPython.notebook.kernel != null) {\n",
-       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
-       "}\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Javascript object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
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\">"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<qcodes.plots.qcmatplotlib.MatPlot at 0x8a855c0>"
-      ]
-     },
-     "execution_count": 55,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "qc.MatPlot(data1.VNA_phase)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/javascript": [
-       "/* Put everything inside the global mpl namespace */\n",
-       "window.mpl = {};\n",
-       "\n",
-       "mpl.get_websocket_type = function() {\n",
-       "    if (typeof(WebSocket) !== 'undefined') {\n",
-       "        return WebSocket;\n",
-       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
-       "        return MozWebSocket;\n",
-       "    } else {\n",
-       "        alert('Your browser does not have WebSocket support.' +\n",
-       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
-       "              'Firefox 4 and 5 are also supported but you ' +\n",
-       "              'have to enable WebSockets in about:config.');\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
-       "    this.id = figure_id;\n",
-       "\n",
-       "    this.ws = websocket;\n",
-       "\n",
-       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
-       "\n",
-       "    if (!this.supports_binary) {\n",
-       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
-       "        if (warnings) {\n",
-       "            warnings.style.display = 'block';\n",
-       "            warnings.textContent = (\n",
-       "                \"This browser does not support binary websocket messages. \" +\n",
-       "                    \"Performance may be slow.\");\n",
-       "        }\n",
-       "    }\n",
-       "\n",
-       "    this.imageObj = new Image();\n",
-       "\n",
-       "    this.context = undefined;\n",
-       "    this.message = undefined;\n",
-       "    this.canvas = undefined;\n",
-       "    this.rubberband_canvas = undefined;\n",
-       "    this.rubberband_context = undefined;\n",
-       "    this.format_dropdown = undefined;\n",
-       "\n",
-       "    this.image_mode = 'full';\n",
-       "\n",
-       "    this.root = $('<div/>');\n",
-       "    this._root_extra_style(this.root)\n",
-       "    this.root.attr('style', 'display: inline-block');\n",
-       "\n",
-       "    $(parent_element).append(this.root);\n",
-       "\n",
-       "    this._init_header(this);\n",
-       "    this._init_canvas(this);\n",
-       "    this._init_toolbar(this);\n",
-       "\n",
-       "    var fig = this;\n",
-       "\n",
-       "    this.waiting = false;\n",
-       "\n",
-       "    this.ws.onopen =  function () {\n",
-       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
-       "            fig.send_message(\"send_image_mode\", {});\n",
-       "            fig.send_message(\"refresh\", {});\n",
-       "        }\n",
-       "\n",
-       "    this.imageObj.onload = function() {\n",
-       "            if (fig.image_mode == 'full') {\n",
-       "                // Full images could contain transparency (where diff images\n",
-       "                // almost always do), so we need to clear the canvas so that\n",
-       "                // there is no ghosting.\n",
-       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
-       "            }\n",
-       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
-       "            fig.waiting = false;\n",
-       "        };\n",
-       "\n",
-       "    this.imageObj.onunload = function() {\n",
-       "        this.ws.close();\n",
-       "    }\n",
-       "\n",
-       "    this.ws.onmessage = this._make_on_message_function(this);\n",
-       "\n",
-       "    this.ondownload = ondownload;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_header = function() {\n",
-       "    var titlebar = $(\n",
-       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
-       "        'ui-helper-clearfix\"/>');\n",
-       "    var titletext = $(\n",
-       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
-       "        'text-align: center; padding: 3px;\"/>');\n",
-       "    titlebar.append(titletext)\n",
-       "    this.root.append(titlebar);\n",
-       "    this.header = titletext[0];\n",
-       "}\n",
-       "\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
-       "\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
-       "\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_canvas = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var canvas_div = $('<div/>');\n",
-       "\n",
-       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
-       "\n",
-       "    function canvas_keyboard_event(event) {\n",
-       "        return fig.key_event(event, event['data']);\n",
-       "    }\n",
-       "\n",
-       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
-       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
-       "    this.canvas_div = canvas_div\n",
-       "    this._canvas_extra_style(canvas_div)\n",
-       "    this.root.append(canvas_div);\n",
-       "\n",
-       "    var canvas = $('<canvas/>');\n",
-       "    canvas.addClass('mpl-canvas');\n",
-       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
-       "\n",
-       "    this.canvas = canvas[0];\n",
-       "    this.context = canvas[0].getContext(\"2d\");\n",
-       "\n",
-       "    var rubberband = $('<canvas/>');\n",
-       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
-       "\n",
-       "    var pass_mouse_events = true;\n",
-       "\n",
-       "    canvas_div.resizable({\n",
-       "        start: function(event, ui) {\n",
-       "            pass_mouse_events = false;\n",
-       "        },\n",
-       "        resize: function(event, ui) {\n",
-       "            fig.request_resize(ui.size.width, ui.size.height);\n",
-       "        },\n",
-       "        stop: function(event, ui) {\n",
-       "            pass_mouse_events = true;\n",
-       "            fig.request_resize(ui.size.width, ui.size.height);\n",
-       "        },\n",
-       "    });\n",
-       "\n",
-       "    function mouse_event_fn(event) {\n",
-       "        if (pass_mouse_events)\n",
-       "            return fig.mouse_event(event, event['data']);\n",
-       "    }\n",
-       "\n",
-       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
-       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
-       "    // Throttle sequential mouse events to 1 every 20ms.\n",
-       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
-       "\n",
-       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
-       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
-       "\n",
-       "    canvas_div.on(\"wheel\", function (event) {\n",
-       "        event = event.originalEvent;\n",
-       "        event['data'] = 'scroll'\n",
-       "        if (event.deltaY < 0) {\n",
-       "            event.step = 1;\n",
-       "        } else {\n",
-       "            event.step = -1;\n",
-       "        }\n",
-       "        mouse_event_fn(event);\n",
-       "    });\n",
-       "\n",
-       "    canvas_div.append(canvas);\n",
-       "    canvas_div.append(rubberband);\n",
-       "\n",
-       "    this.rubberband = rubberband;\n",
-       "    this.rubberband_canvas = rubberband[0];\n",
-       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
-       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
-       "\n",
-       "    this._resize_canvas = function(width, height) {\n",
-       "        // Keep the size of the canvas, canvas container, and rubber band\n",
-       "        // canvas in synch.\n",
-       "        canvas_div.css('width', width)\n",
-       "        canvas_div.css('height', height)\n",
-       "\n",
-       "        canvas.attr('width', width);\n",
-       "        canvas.attr('height', height);\n",
-       "\n",
-       "        rubberband.attr('width', width);\n",
-       "        rubberband.attr('height', height);\n",
-       "    }\n",
-       "\n",
-       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
-       "    // upon first draw.\n",
-       "    this._resize_canvas(600, 600);\n",
-       "\n",
-       "    // Disable right mouse context menu.\n",
-       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
-       "        return false;\n",
-       "    });\n",
-       "\n",
-       "    function set_focus () {\n",
-       "        canvas.focus();\n",
-       "        canvas_div.focus();\n",
-       "    }\n",
-       "\n",
-       "    window.setTimeout(set_focus, 100);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_toolbar = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var nav_element = $('<div/>')\n",
-       "    nav_element.attr('style', 'width: 100%');\n",
-       "    this.root.append(nav_element);\n",
-       "\n",
-       "    // Define a callback function for later on.\n",
-       "    function toolbar_event(event) {\n",
-       "        return fig.toolbar_button_onclick(event['data']);\n",
-       "    }\n",
-       "    function toolbar_mouse_event(event) {\n",
-       "        return fig.toolbar_button_onmouseover(event['data']);\n",
-       "    }\n",
-       "\n",
-       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
-       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
-       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
-       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
-       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
-       "\n",
-       "        if (!name) {\n",
-       "            // put a spacer in here.\n",
-       "            continue;\n",
-       "        }\n",
-       "        var button = $('<button/>');\n",
-       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
-       "                        'ui-button-icon-only');\n",
-       "        button.attr('role', 'button');\n",
-       "        button.attr('aria-disabled', 'false');\n",
-       "        button.click(method_name, toolbar_event);\n",
-       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
-       "\n",
-       "        var icon_img = $('<span/>');\n",
-       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
-       "        icon_img.addClass(image);\n",
-       "        icon_img.addClass('ui-corner-all');\n",
-       "\n",
-       "        var tooltip_span = $('<span/>');\n",
-       "        tooltip_span.addClass('ui-button-text');\n",
-       "        tooltip_span.html(tooltip);\n",
-       "\n",
-       "        button.append(icon_img);\n",
-       "        button.append(tooltip_span);\n",
-       "\n",
-       "        nav_element.append(button);\n",
-       "    }\n",
-       "\n",
-       "    var fmt_picker_span = $('<span/>');\n",
-       "\n",
-       "    var fmt_picker = $('<select/>');\n",
-       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
-       "    fmt_picker_span.append(fmt_picker);\n",
-       "    nav_element.append(fmt_picker_span);\n",
-       "    this.format_dropdown = fmt_picker[0];\n",
-       "\n",
-       "    for (var ind in mpl.extensions) {\n",
-       "        var fmt = mpl.extensions[ind];\n",
-       "        var option = $(\n",
-       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option)\n",
-       "    }\n",
-       "\n",
-       "    // Add hover states to the ui-buttons\n",
-       "    $( \".ui-button\" ).hover(\n",
-       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
-       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
-       "    );\n",
-       "\n",
-       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
-       "    nav_element.append(status_bar);\n",
-       "    this.message = status_bar[0];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
-       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
-       "    // which will in turn request a refresh of the image.\n",
-       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.send_message = function(type, properties) {\n",
-       "    properties['type'] = type;\n",
-       "    properties['figure_id'] = this.id;\n",
-       "    this.ws.send(JSON.stringify(properties));\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.send_draw_message = function() {\n",
-       "    if (!this.waiting) {\n",
-       "        this.waiting = true;\n",
-       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
-       "    }\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
-       "    var format_dropdown = fig.format_dropdown;\n",
-       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
-       "    fig.ondownload(fig, format);\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
-       "    var size = msg['size'];\n",
-       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
-       "        fig._resize_canvas(size[0], size[1]);\n",
-       "        fig.send_message(\"refresh\", {});\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
-       "    var x0 = msg['x0'];\n",
-       "    var y0 = fig.canvas.height - msg['y0'];\n",
-       "    var x1 = msg['x1'];\n",
-       "    var y1 = fig.canvas.height - msg['y1'];\n",
-       "    x0 = Math.floor(x0) + 0.5;\n",
-       "    y0 = Math.floor(y0) + 0.5;\n",
-       "    x1 = Math.floor(x1) + 0.5;\n",
-       "    y1 = Math.floor(y1) + 0.5;\n",
-       "    var min_x = Math.min(x0, x1);\n",
-       "    var min_y = Math.min(y0, y1);\n",
-       "    var width = Math.abs(x1 - x0);\n",
-       "    var height = Math.abs(y1 - y0);\n",
-       "\n",
-       "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
-       "\n",
-       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
-       "    // Updates the figure title.\n",
-       "    fig.header.textContent = msg['label'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
-       "    var cursor = msg['cursor'];\n",
-       "    switch(cursor)\n",
-       "    {\n",
-       "    case 0:\n",
-       "        cursor = 'pointer';\n",
-       "        break;\n",
-       "    case 1:\n",
-       "        cursor = 'default';\n",
-       "        break;\n",
-       "    case 2:\n",
-       "        cursor = 'crosshair';\n",
-       "        break;\n",
-       "    case 3:\n",
-       "        cursor = 'move';\n",
-       "        break;\n",
-       "    }\n",
-       "    fig.rubberband_canvas.style.cursor = cursor;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
-       "    fig.message.textContent = msg['message'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
-       "    // Request the server to send over a new figure.\n",
-       "    fig.send_draw_message();\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
-       "    fig.image_mode = msg['mode'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.updated_canvas_event = function() {\n",
-       "    // Called whenever the canvas gets updated.\n",
-       "    this.send_message(\"ack\", {});\n",
-       "}\n",
-       "\n",
-       "// A function to construct a web socket function for onmessage handling.\n",
-       "// Called in the figure constructor.\n",
-       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
-       "    return function socket_on_message(evt) {\n",
-       "        if (evt.data instanceof Blob) {\n",
-       "            /* FIXME: We get \"Resource interpreted as Image but\n",
-       "             * transferred with MIME type text/plain:\" errors on\n",
-       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
-       "             * to be part of the websocket stream */\n",
-       "            evt.data.type = \"image/png\";\n",
-       "\n",
-       "            /* Free the memory for the previous frames */\n",
-       "            if (fig.imageObj.src) {\n",
-       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
-       "                    fig.imageObj.src);\n",
-       "            }\n",
-       "\n",
-       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
-       "                evt.data);\n",
-       "            fig.updated_canvas_event();\n",
-       "            return;\n",
-       "        }\n",
-       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
-       "            fig.imageObj.src = evt.data;\n",
-       "            fig.updated_canvas_event();\n",
-       "            return;\n",
-       "        }\n",
-       "\n",
-       "        var msg = JSON.parse(evt.data);\n",
-       "        var msg_type = msg['type'];\n",
-       "\n",
-       "        // Call the  \"handle_{type}\" callback, which takes\n",
-       "        // the figure and JSON message as its only arguments.\n",
-       "        try {\n",
-       "            var callback = fig[\"handle_\" + msg_type];\n",
-       "        } catch (e) {\n",
-       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
-       "            return;\n",
-       "        }\n",
-       "\n",
-       "        if (callback) {\n",
-       "            try {\n",
-       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
-       "                callback(fig, msg);\n",
-       "            } catch (e) {\n",
-       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
-       "            }\n",
-       "        }\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
-       "mpl.findpos = function(e) {\n",
-       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
-       "    var targ;\n",
-       "    if (!e)\n",
-       "        e = window.event;\n",
-       "    if (e.target)\n",
-       "        targ = e.target;\n",
-       "    else if (e.srcElement)\n",
-       "        targ = e.srcElement;\n",
-       "    if (targ.nodeType == 3) // defeat Safari bug\n",
-       "        targ = targ.parentNode;\n",
-       "\n",
-       "    // jQuery normalizes the pageX and pageY\n",
-       "    // pageX,Y are the mouse positions relative to the document\n",
-       "    // offset() returns the position of the element relative to the document\n",
-       "    var x = e.pageX - $(targ).offset().left;\n",
-       "    var y = e.pageY - $(targ).offset().top;\n",
-       "\n",
-       "    return {\"x\": x, \"y\": y};\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
-       "    var canvas_pos = mpl.findpos(event)\n",
-       "\n",
-       "    if (name === 'button_press')\n",
-       "    {\n",
-       "        this.canvas.focus();\n",
-       "        this.canvas_div.focus();\n",
-       "    }\n",
-       "\n",
-       "    var x = canvas_pos.x;\n",
-       "    var y = canvas_pos.y;\n",
-       "\n",
-       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
-       "                             step: event.step});\n",
-       "\n",
-       "    /* This prevents the web browser from automatically changing to\n",
-       "     * the text insertion cursor when the button is pressed.  We want\n",
-       "     * to control all of the cursor setting manually through the\n",
-       "     * 'cursor' event from matplotlib */\n",
-       "    event.preventDefault();\n",
-       "    return false;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
-       "    // Handle any extra behaviour associated with a key event\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.key_event = function(event, name) {\n",
-       "\n",
-       "    // Prevent repeat events\n",
-       "    if (name == 'key_press')\n",
-       "    {\n",
-       "        if (event.which === this._key)\n",
-       "            return;\n",
-       "        else\n",
-       "            this._key = event.which;\n",
-       "    }\n",
-       "    if (name == 'key_release')\n",
-       "        this._key = null;\n",
-       "\n",
-       "    var value = '';\n",
-       "    if (event.ctrlKey && event.which != 17)\n",
-       "        value += \"ctrl+\";\n",
-       "    if (event.altKey && event.which != 18)\n",
-       "        value += \"alt+\";\n",
-       "    if (event.shiftKey && event.which != 16)\n",
-       "        value += \"shift+\";\n",
-       "\n",
-       "    value += 'k';\n",
-       "    value += event.which.toString();\n",
-       "\n",
-       "    this._key_event_extra(event, name);\n",
-       "\n",
-       "    this.send_message(name, {key: value});\n",
-       "    return false;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
-       "    if (name == 'download') {\n",
-       "        this.handle_save(this, null);\n",
-       "    } else {\n",
-       "        this.send_message(\"toolbar_button\", {name: name});\n",
-       "    }\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
-       "    this.message.textContent = tooltip;\n",
-       "};\n",
-       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
-       "\n",
-       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
-       "\n",
-       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
-       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
-       "    // object with the appropriate methods. Currently this is a non binary\n",
-       "    // socket, so there is still some room for performance tuning.\n",
-       "    var ws = {};\n",
-       "\n",
-       "    ws.close = function() {\n",
-       "        comm.close()\n",
-       "    };\n",
-       "    ws.send = function(m) {\n",
-       "        //console.log('sending', m);\n",
-       "        comm.send(m);\n",
-       "    };\n",
-       "    // Register the callback with on_msg.\n",
-       "    comm.on_msg(function(msg) {\n",
-       "        //console.log('receiving', msg['content']['data'], msg);\n",
-       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
-       "        ws.onmessage(msg['content']['data'])\n",
-       "    });\n",
-       "    return ws;\n",
-       "}\n",
-       "\n",
-       "mpl.mpl_figure_comm = function(comm, msg) {\n",
-       "    // This is the function which gets called when the mpl process\n",
-       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
-       "\n",
-       "    var id = msg.content.data.id;\n",
-       "    // Get hold of the div created by the display call when the Comm\n",
-       "    // socket was opened in Python.\n",
-       "    var element = $(\"#\" + id);\n",
-       "    var ws_proxy = comm_websocket_adapter(comm)\n",
-       "\n",
-       "    function ondownload(figure, format) {\n",
-       "        window.open(figure.imageObj.src);\n",
-       "    }\n",
-       "\n",
-       "    var fig = new mpl.figure(id, ws_proxy,\n",
-       "                           ondownload,\n",
-       "                           element.get(0));\n",
-       "\n",
-       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
-       "    // web socket which is closed, not our websocket->open comm proxy.\n",
-       "    ws_proxy.onopen();\n",
-       "\n",
-       "    fig.parent_element = element.get(0);\n",
-       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
-       "    if (!fig.cell_info) {\n",
-       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
-       "        return;\n",
-       "    }\n",
-       "\n",
-       "    var output_index = fig.cell_info[2]\n",
-       "    var cell = fig.cell_info[0];\n",
-       "\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
-       "    // Update the output cell to use the data from the current canvas.\n",
-       "    fig.push_to_output();\n",
-       "    var dataURL = fig.canvas.toDataURL();\n",
-       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
-       "    // the notebook keyboard shortcuts fail.\n",
-       "    IPython.keyboard_manager.enable()\n",
-       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
-       "    fig.send_message('closing', {});\n",
-       "    fig.ws.close()\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
-       "    // Turn the data on the canvas into data in the output cell.\n",
-       "    var dataURL = this.canvas.toDataURL();\n",
-       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.updated_canvas_event = function() {\n",
-       "    // Tell IPython that the notebook contents must change.\n",
-       "    IPython.notebook.set_dirty(true);\n",
-       "    this.send_message(\"ack\", {});\n",
-       "    var fig = this;\n",
-       "    // Wait a second, then push the new image to the DOM so\n",
-       "    // that it is saved nicely (might be nice to debounce this).\n",
-       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_toolbar = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var nav_element = $('<div/>')\n",
-       "    nav_element.attr('style', 'width: 100%');\n",
-       "    this.root.append(nav_element);\n",
-       "\n",
-       "    // Define a callback function for later on.\n",
-       "    function toolbar_event(event) {\n",
-       "        return fig.toolbar_button_onclick(event['data']);\n",
-       "    }\n",
-       "    function toolbar_mouse_event(event) {\n",
-       "        return fig.toolbar_button_onmouseover(event['data']);\n",
-       "    }\n",
-       "\n",
-       "    for(var toolbar_ind in mpl.toolbar_items){\n",
-       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
-       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
-       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
-       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
-       "\n",
-       "        if (!name) { continue; };\n",
-       "\n",
-       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
-       "        button.click(method_name, toolbar_event);\n",
-       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
-       "        nav_element.append(button);\n",
-       "    }\n",
-       "\n",
-       "    // Add the status bar.\n",
-       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
-       "    nav_element.append(status_bar);\n",
-       "    this.message = status_bar[0];\n",
-       "\n",
-       "    // Add the close button to the window.\n",
-       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
-       "    var button = $('<button class=\"btn btn-mini btn-danger\" href=\"#\" title=\"Close figure\"><i class=\"fa fa-times icon-remove icon-large\"></i></button>');\n",
-       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
-       "    button.mouseover('Close figure', toolbar_mouse_event);\n",
-       "    buttongrp.append(button);\n",
-       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
-       "    titlebar.prepend(buttongrp);\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
-       "    // this is important to make the div 'focusable\n",
-       "    el.attr('tabindex', 0)\n",
-       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
-       "    // off when our div gets focus\n",
-       "\n",
-       "    // location in version 3\n",
-       "    if (IPython.notebook.keyboard_manager) {\n",
-       "        IPython.notebook.keyboard_manager.register_events(el);\n",
-       "    }\n",
-       "    else {\n",
-       "        // location in version 2\n",
-       "        IPython.keyboard_manager.register_events(el);\n",
-       "    }\n",
-       "\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
-       "    var manager = IPython.notebook.keyboard_manager;\n",
-       "    if (!manager)\n",
-       "        manager = IPython.keyboard_manager;\n",
-       "\n",
-       "    // Check for shift+enter\n",
-       "    if (event.shiftKey && event.which == 13) {\n",
-       "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
-       "    }\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
-       "    fig.ondownload(fig, null);\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.find_output_cell = function(html_output) {\n",
-       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
-       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
-       "    // IPython event is triggered only after the cells have been serialised, which for\n",
-       "    // our purposes (turning an active figure into a static one), is too late.\n",
-       "    var cells = IPython.notebook.get_cells();\n",
-       "    var ncells = cells.length;\n",
-       "    for (var i=0; i<ncells; i++) {\n",
-       "        var cell = cells[i];\n",
-       "        if (cell.cell_type === 'code'){\n",
-       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
-       "                var data = cell.output_area.outputs[j];\n",
-       "                if (data.data) {\n",
-       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
-       "                    data = data.data;\n",
-       "                }\n",
-       "                if (data['text/html'] == html_output) {\n",
-       "                    return [cell, data, j];\n",
-       "                }\n",
-       "            }\n",
-       "        }\n",
-       "    }\n",
-       "}\n",
-       "\n",
-       "// Register the function which deals with the matplotlib target/channel.\n",
-       "// The kernel may be null if the page has been refreshed.\n",
-       "if (IPython.notebook.kernel != null) {\n",
-       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
-       "}\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Javascript object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
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\">"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<qcodes.plots.qcmatplotlib.MatPlot at 0x8f1f940>"
-      ]
-     },
-     "execution_count": 53,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "qc.MatPlot(data1.VNA_magnitude)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "qc.QtPlot(data1.VNA_magnitude)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.5.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/docs/examples/driver_examples/Qcodes example with Rohde Schwarz ZNB 20.ipynb b/docs/examples/driver_examples/Qcodes example with Rohde Schwarz ZNB 20.ipynb
new file mode 100644
index 000000000000..d43ef5c6c032
--- /dev/null
+++ b/docs/examples/driver_examples/Qcodes example with Rohde Schwarz ZNB 20.ipynb	
@@ -0,0 +1,3553 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Qcodes example with Rohde Schwarz ZN20"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib nbagg\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "import qcodes as qc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import qcodes.instrument_drivers.rohde_schwarz.ZNB20 as vna"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Connected to: Rohde-Schwarz ZNB20-2Port (serial:1311601062101551, firmware:2.82) in 0.17s\n"
+     ]
+    }
+   ],
+   "source": [
+    "vna = vna.ZNB20('VNA', 'TCPIP0::192.168.15.100::inst0::INSTR', server_name=None)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "station = qc.Station(vna)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The QCoDes driver for the Rohde Schwarz ZNB 20 is setup with 4 channels each containing one trace and reprecenting the 4 standars S parameters (S11, S12, S21 and S22). For each S parameter you can define a frequency sweep as and the power of the rf source i.e for s11 sweep from 100 KHz to 6 MHz in 100 steps:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vna.start11(100e3)\n",
+    "vna.stop11(6e6)\n",
+    "vna.npts11(100)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "With a power of -30 dBm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "vna.power11(-30)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we can meassure a frequency trace, first remembering to turn on the rf source. This produces both a linear magnitude and phase"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "DataSet:\n",
+      "   location = 'data/2017-05-24/#047_{name}_14-35-53'\n",
+      "   <Type>   | <array_id>        | <array.name>  | <array.shape>\n",
+      "   Setpoint | frequency_set     | frequency     | (100,)\n",
+      "   Measured | VNA_s11_magnitude | s11_magnitude | (100,)\n",
+      "   Measured | VNA_s11_phase     | s11_phase     | (100,)\n",
+      "acquired at 2017-05-24 14:35:53\n"
+     ]
+    }
+   ],
+   "source": [
+    "vna.rf_on()\n",
+    "data = qc.Measure(vna.trace11).run()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\n",
+       "\n",
+       "mpl.get_websocket_type = function() {\n",
+       "    if (typeof(WebSocket) !== 'undefined') {\n",
+       "        return WebSocket;\n",
+       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+       "        return MozWebSocket;\n",
+       "    } else {\n",
+       "        alert('Your browser does not have WebSocket support.' +\n",
+       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+       "              'Firefox 4 and 5 are also supported but you ' +\n",
+       "              'have to enable WebSockets in about:config.');\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+       "    this.id = figure_id;\n",
+       "\n",
+       "    this.ws = websocket;\n",
+       "\n",
+       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
+       "\n",
+       "    if (!this.supports_binary) {\n",
+       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
+       "        if (warnings) {\n",
+       "            warnings.style.display = 'block';\n",
+       "            warnings.textContent = (\n",
+       "                \"This browser does not support binary websocket messages. \" +\n",
+       "                    \"Performance may be slow.\");\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    this.imageObj = new Image();\n",
+       "\n",
+       "    this.context = undefined;\n",
+       "    this.message = undefined;\n",
+       "    this.canvas = undefined;\n",
+       "    this.rubberband_canvas = undefined;\n",
+       "    this.rubberband_context = undefined;\n",
+       "    this.format_dropdown = undefined;\n",
+       "\n",
+       "    this.image_mode = 'full';\n",
+       "\n",
+       "    this.root = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        this.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+       "        return false;\n",
+       "    });\n",
+       "\n",
+       "    function set_focus () {\n",
+       "        canvas.focus();\n",
+       "        canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    window.setTimeout(set_focus, 100);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) {\n",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+       "    // which will in turn request a refresh of the image.\n",
+       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_message = function(type, properties) {\n",
+       "    properties['type'] = type;\n",
+       "    properties['figure_id'] = this.id;\n",
+       "    this.ws.send(JSON.stringify(properties));\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_draw_message = function() {\n",
+       "    if (!this.waiting) {\n",
+       "        this.waiting = true;\n",
+       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    var format_dropdown = fig.format_dropdown;\n",
+       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+       "    fig.ondownload(fig, format);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+       "    var size = msg['size'];\n",
+       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+       "        fig._resize_canvas(size[0], size[1]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "\n",
+       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+       "    // Updates the figure title.\n",
+       "    fig.header.textContent = msg['label'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+       "    var cursor = msg['cursor'];\n",
+       "    switch(cursor)\n",
+       "    {\n",
+       "    case 0:\n",
+       "        cursor = 'pointer';\n",
+       "        break;\n",
+       "    case 1:\n",
+       "        cursor = 'default';\n",
+       "        break;\n",
+       "    case 2:\n",
+       "        cursor = 'crosshair';\n",
+       "        break;\n",
+       "    case 3:\n",
+       "        cursor = 'move';\n",
+       "        break;\n",
+       "    }\n",
+       "    fig.rubberband_canvas.style.cursor = cursor;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+       "    fig.message.textContent = msg['message'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+       "    // Request the server to send over a new figure.\n",
+       "    fig.send_draw_message();\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+       "    fig.image_mode = msg['mode'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Called whenever the canvas gets updated.\n",
+       "    this.send_message(\"ack\", {});\n",
+       "}\n",
+       "\n",
+       "// A function to construct a web socket function for onmessage handling.\n",
+       "// Called in the figure constructor.\n",
+       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+       "    return function socket_on_message(evt) {\n",
+       "        if (evt.data instanceof Blob) {\n",
+       "            /* FIXME: We get \"Resource interpreted as Image but\n",
+       "             * transferred with MIME type text/plain:\" errors on\n",
+       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
+       "             * to be part of the websocket stream */\n",
+       "            evt.data.type = \"image/png\";\n",
+       "\n",
+       "            /* Free the memory for the previous frames */\n",
+       "            if (fig.imageObj.src) {\n",
+       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
+       "                    fig.imageObj.src);\n",
+       "            }\n",
+       "\n",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+       "            fig.imageObj.src = evt.data;\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        var msg = JSON.parse(evt.data);\n",
+       "        var msg_type = msg['type'];\n",
+       "\n",
+       "        // Call the  \"handle_{type}\" callback, which takes\n",
+       "        // the figure and JSON message as its only arguments.\n",
+       "        try {\n",
+       "            var callback = fig[\"handle_\" + msg_type];\n",
+       "        } catch (e) {\n",
+       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        if (callback) {\n",
+       "            try {\n",
+       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+       "                callback(fig, msg);\n",
+       "            } catch (e) {\n",
+       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+       "            }\n",
+       "        }\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+       "mpl.findpos = function(e) {\n",
+       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+       "    var targ;\n",
+       "    if (!e)\n",
+       "        e = window.event;\n",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\n",
+       "\n",
+       "    return {\"x\": x, \"y\": y};\n",
+       "};\n",
+       "\n",
+       "/*\n",
+       " * return a copy of an object with only non-object keys\n",
+       " * we need this to avoid circular references\n",
+       " * http://stackoverflow.com/a/24161582/3208463\n",
+       " */\n",
+       "function simpleKeys (original) {\n",
+       "  return Object.keys(original).reduce(function (obj, key) {\n",
+       "    if (typeof original[key] !== 'object')\n",
+       "        obj[key] = original[key]\n",
+       "    return obj;\n",
+       "  }, {});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+       "    var canvas_pos = mpl.findpos(event)\n",
+       "\n",
+       "    if (name === 'button_press')\n",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "\n",
+       "    /* This prevents the web browser from automatically changing to\n",
+       "     * the text insertion cursor when the button is pressed.  We want\n",
+       "     * to control all of the cursor setting manually through the\n",
+       "     * 'cursor' event from matplotlib */\n",
+       "    event.preventDefault();\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    // Handle any extra behaviour associated with a key event\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.key_event = function(event, name) {\n",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\n",
+       "\n",
+       "    value += 'k';\n",
+       "    value += event.which.toString();\n",
+       "\n",
+       "    this._key_event_extra(event, name);\n",
+       "\n",
+       "    this.send_message(name, {key: value,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+       "\n",
+       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
+       "\n",
+       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
+       "    // object with the appropriate methods. Currently this is a non binary\n",
+       "    // socket, so there is still some room for performance tuning.\n",
+       "    var ws = {};\n",
+       "\n",
+       "    ws.close = function() {\n",
+       "        comm.close()\n",
+       "    };\n",
+       "    ws.send = function(m) {\n",
+       "        //console.log('sending', m);\n",
+       "        comm.send(m);\n",
+       "    };\n",
+       "    // Register the callback with on_msg.\n",
+       "    comm.on_msg(function(msg) {\n",
+       "        //console.log('receiving', msg['content']['data'], msg);\n",
+       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
+       "        ws.onmessage(msg['content']['data'])\n",
+       "    });\n",
+       "    return ws;\n",
+       "}\n",
+       "\n",
+       "mpl.mpl_figure_comm = function(comm, msg) {\n",
+       "    // This is the function which gets called when the mpl process\n",
+       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+       "\n",
+       "    var id = msg.content.data.id;\n",
+       "    // Get hold of the div created by the display call when the Comm\n",
+       "    // socket was opened in Python.\n",
+       "    var element = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\n",
+       "\n",
+       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+       "    // web socket which is closed, not our websocket->open comm proxy.\n",
+       "    ws_proxy.onopen();\n",
+       "\n",
+       "    fig.parent_element = element.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\n",
+       "\n",
+       "    // Update the output cell to use the data from the current canvas.\n",
+       "    fig.push_to_output();\n",
+       "    var dataURL = fig.canvas.toDataURL();\n",
+       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+       "    // the notebook keyboard shortcuts fail.\n",
+       "    IPython.keyboard_manager.enable()\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Tell IPython that the notebook contents must change.\n",
+       "    IPython.notebook.set_dirty(true);\n",
+       "    this.send_message(\"ack\", {});\n",
+       "    var fig = this;\n",
+       "    // Wait a second, then push the new image to the DOM so\n",
+       "    // that it is saved nicely (might be nice to debounce this).\n",
+       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items){\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('tabindex', 0)\n",
+       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
+       "    // off when our div gets focus\n",
+       "\n",
+       "    // location in version 3\n",
+       "    if (IPython.notebook.keyboard_manager) {\n",
+       "        IPython.notebook.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    var manager = IPython.notebook.keyboard_manager;\n",
+       "    if (!manager)\n",
+       "        manager = IPython.keyboard_manager;\n",
+       "\n",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.find_output_cell = function(html_output) {\n",
+       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+       "    // IPython event is triggered only after the cells have been serialised, which for\n",
+       "    // our purposes (turning an active figure into a static one), is too late.\n",
+       "    var cells = IPython.notebook.get_cells();\n",
+       "    var ncells = cells.length;\n",
+       "    for (var i=0; i<ncells; i++) {\n",
+       "        var cell = cells[i];\n",
+       "        if (cell.cell_type === 'code'){\n",
+       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+       "                var data = cell.output_area.outputs[j];\n",
+       "                if (data.data) {\n",
+       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
+       "                    data = data.data;\n",
+       "                }\n",
+       "                if (data['text/html'] == html_output) {\n",
+       "                    return [cell, data, j];\n",
+       "                }\n",
+       "            }\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "// Register the function which deals with the matplotlib target/channel.\n",
+       "// The kernel may be null if the page has been refreshed.\n",
+       "if (IPython.notebook.kernel != null) {\n",
+       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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\" width=\"800\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot = qc.MatPlot(subplots=(1,2))\n",
+    "plot.add(data.VNA_s11_magnitude, subplot=1)\n",
+    "plot.add(data.VNA_s11_phase, subplot=2)\n",
+    "plot.fig.tight_layout(rect=(0, 0, 1, 0.95))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also define a frequency trace by setting the span and center frequency. 200 KHz windows centered around 1 MHZ"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "vna.span11(200e3)\n",
+    "vna.center11(1e6)\n",
+    "vna.npts11(100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "DataSet:\n",
+      "   location = 'data/2017-05-24/#048_{name}_14-35-56'\n",
+      "   <Type>   | <array_id>        | <array.name>  | <array.shape>\n",
+      "   Setpoint | frequency_set     | frequency     | (100,)\n",
+      "   Measured | VNA_s11_magnitude | s11_magnitude | (100,)\n",
+      "   Measured | VNA_s11_phase     | s11_phase     | (100,)\n",
+      "acquired at 2017-05-24 14:35:56\n"
+     ]
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\n",
+       "\n",
+       "mpl.get_websocket_type = function() {\n",
+       "    if (typeof(WebSocket) !== 'undefined') {\n",
+       "        return WebSocket;\n",
+       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+       "        return MozWebSocket;\n",
+       "    } else {\n",
+       "        alert('Your browser does not have WebSocket support.' +\n",
+       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+       "              'Firefox 4 and 5 are also supported but you ' +\n",
+       "              'have to enable WebSockets in about:config.');\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+       "    this.id = figure_id;\n",
+       "\n",
+       "    this.ws = websocket;\n",
+       "\n",
+       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
+       "\n",
+       "    if (!this.supports_binary) {\n",
+       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
+       "        if (warnings) {\n",
+       "            warnings.style.display = 'block';\n",
+       "            warnings.textContent = (\n",
+       "                \"This browser does not support binary websocket messages. \" +\n",
+       "                    \"Performance may be slow.\");\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    this.imageObj = new Image();\n",
+       "\n",
+       "    this.context = undefined;\n",
+       "    this.message = undefined;\n",
+       "    this.canvas = undefined;\n",
+       "    this.rubberband_canvas = undefined;\n",
+       "    this.rubberband_context = undefined;\n",
+       "    this.format_dropdown = undefined;\n",
+       "\n",
+       "    this.image_mode = 'full';\n",
+       "\n",
+       "    this.root = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        this.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+       "        return false;\n",
+       "    });\n",
+       "\n",
+       "    function set_focus () {\n",
+       "        canvas.focus();\n",
+       "        canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    window.setTimeout(set_focus, 100);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) {\n",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+       "    // which will in turn request a refresh of the image.\n",
+       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_message = function(type, properties) {\n",
+       "    properties['type'] = type;\n",
+       "    properties['figure_id'] = this.id;\n",
+       "    this.ws.send(JSON.stringify(properties));\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_draw_message = function() {\n",
+       "    if (!this.waiting) {\n",
+       "        this.waiting = true;\n",
+       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    var format_dropdown = fig.format_dropdown;\n",
+       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+       "    fig.ondownload(fig, format);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+       "    var size = msg['size'];\n",
+       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+       "        fig._resize_canvas(size[0], size[1]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "\n",
+       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+       "    // Updates the figure title.\n",
+       "    fig.header.textContent = msg['label'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+       "    var cursor = msg['cursor'];\n",
+       "    switch(cursor)\n",
+       "    {\n",
+       "    case 0:\n",
+       "        cursor = 'pointer';\n",
+       "        break;\n",
+       "    case 1:\n",
+       "        cursor = 'default';\n",
+       "        break;\n",
+       "    case 2:\n",
+       "        cursor = 'crosshair';\n",
+       "        break;\n",
+       "    case 3:\n",
+       "        cursor = 'move';\n",
+       "        break;\n",
+       "    }\n",
+       "    fig.rubberband_canvas.style.cursor = cursor;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+       "    fig.message.textContent = msg['message'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+       "    // Request the server to send over a new figure.\n",
+       "    fig.send_draw_message();\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+       "    fig.image_mode = msg['mode'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Called whenever the canvas gets updated.\n",
+       "    this.send_message(\"ack\", {});\n",
+       "}\n",
+       "\n",
+       "// A function to construct a web socket function for onmessage handling.\n",
+       "// Called in the figure constructor.\n",
+       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+       "    return function socket_on_message(evt) {\n",
+       "        if (evt.data instanceof Blob) {\n",
+       "            /* FIXME: We get \"Resource interpreted as Image but\n",
+       "             * transferred with MIME type text/plain:\" errors on\n",
+       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
+       "             * to be part of the websocket stream */\n",
+       "            evt.data.type = \"image/png\";\n",
+       "\n",
+       "            /* Free the memory for the previous frames */\n",
+       "            if (fig.imageObj.src) {\n",
+       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
+       "                    fig.imageObj.src);\n",
+       "            }\n",
+       "\n",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+       "            fig.imageObj.src = evt.data;\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        var msg = JSON.parse(evt.data);\n",
+       "        var msg_type = msg['type'];\n",
+       "\n",
+       "        // Call the  \"handle_{type}\" callback, which takes\n",
+       "        // the figure and JSON message as its only arguments.\n",
+       "        try {\n",
+       "            var callback = fig[\"handle_\" + msg_type];\n",
+       "        } catch (e) {\n",
+       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        if (callback) {\n",
+       "            try {\n",
+       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+       "                callback(fig, msg);\n",
+       "            } catch (e) {\n",
+       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+       "            }\n",
+       "        }\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+       "mpl.findpos = function(e) {\n",
+       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+       "    var targ;\n",
+       "    if (!e)\n",
+       "        e = window.event;\n",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\n",
+       "\n",
+       "    return {\"x\": x, \"y\": y};\n",
+       "};\n",
+       "\n",
+       "/*\n",
+       " * return a copy of an object with only non-object keys\n",
+       " * we need this to avoid circular references\n",
+       " * http://stackoverflow.com/a/24161582/3208463\n",
+       " */\n",
+       "function simpleKeys (original) {\n",
+       "  return Object.keys(original).reduce(function (obj, key) {\n",
+       "    if (typeof original[key] !== 'object')\n",
+       "        obj[key] = original[key]\n",
+       "    return obj;\n",
+       "  }, {});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+       "    var canvas_pos = mpl.findpos(event)\n",
+       "\n",
+       "    if (name === 'button_press')\n",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "\n",
+       "    /* This prevents the web browser from automatically changing to\n",
+       "     * the text insertion cursor when the button is pressed.  We want\n",
+       "     * to control all of the cursor setting manually through the\n",
+       "     * 'cursor' event from matplotlib */\n",
+       "    event.preventDefault();\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    // Handle any extra behaviour associated with a key event\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.key_event = function(event, name) {\n",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\n",
+       "\n",
+       "    value += 'k';\n",
+       "    value += event.which.toString();\n",
+       "\n",
+       "    this._key_event_extra(event, name);\n",
+       "\n",
+       "    this.send_message(name, {key: value,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+       "\n",
+       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
+       "\n",
+       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
+       "    // object with the appropriate methods. Currently this is a non binary\n",
+       "    // socket, so there is still some room for performance tuning.\n",
+       "    var ws = {};\n",
+       "\n",
+       "    ws.close = function() {\n",
+       "        comm.close()\n",
+       "    };\n",
+       "    ws.send = function(m) {\n",
+       "        //console.log('sending', m);\n",
+       "        comm.send(m);\n",
+       "    };\n",
+       "    // Register the callback with on_msg.\n",
+       "    comm.on_msg(function(msg) {\n",
+       "        //console.log('receiving', msg['content']['data'], msg);\n",
+       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
+       "        ws.onmessage(msg['content']['data'])\n",
+       "    });\n",
+       "    return ws;\n",
+       "}\n",
+       "\n",
+       "mpl.mpl_figure_comm = function(comm, msg) {\n",
+       "    // This is the function which gets called when the mpl process\n",
+       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+       "\n",
+       "    var id = msg.content.data.id;\n",
+       "    // Get hold of the div created by the display call when the Comm\n",
+       "    // socket was opened in Python.\n",
+       "    var element = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\n",
+       "\n",
+       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+       "    // web socket which is closed, not our websocket->open comm proxy.\n",
+       "    ws_proxy.onopen();\n",
+       "\n",
+       "    fig.parent_element = element.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\n",
+       "\n",
+       "    // Update the output cell to use the data from the current canvas.\n",
+       "    fig.push_to_output();\n",
+       "    var dataURL = fig.canvas.toDataURL();\n",
+       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+       "    // the notebook keyboard shortcuts fail.\n",
+       "    IPython.keyboard_manager.enable()\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Tell IPython that the notebook contents must change.\n",
+       "    IPython.notebook.set_dirty(true);\n",
+       "    this.send_message(\"ack\", {});\n",
+       "    var fig = this;\n",
+       "    // Wait a second, then push the new image to the DOM so\n",
+       "    // that it is saved nicely (might be nice to debounce this).\n",
+       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items){\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('tabindex', 0)\n",
+       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
+       "    // off when our div gets focus\n",
+       "\n",
+       "    // location in version 3\n",
+       "    if (IPython.notebook.keyboard_manager) {\n",
+       "        IPython.notebook.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    var manager = IPython.notebook.keyboard_manager;\n",
+       "    if (!manager)\n",
+       "        manager = IPython.keyboard_manager;\n",
+       "\n",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.find_output_cell = function(html_output) {\n",
+       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+       "    // IPython event is triggered only after the cells have been serialised, which for\n",
+       "    // our purposes (turning an active figure into a static one), is too late.\n",
+       "    var cells = IPython.notebook.get_cells();\n",
+       "    var ncells = cells.length;\n",
+       "    for (var i=0; i<ncells; i++) {\n",
+       "        var cell = cells[i];\n",
+       "        if (cell.cell_type === 'code'){\n",
+       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+       "                var data = cell.output_area.outputs[j];\n",
+       "                if (data.data) {\n",
+       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
+       "                    data = data.data;\n",
+       "                }\n",
+       "                if (data['text/html'] == html_output) {\n",
+       "                    return [cell, data, j];\n",
+       "                }\n",
+       "            }\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "// Register the function which deals with the matplotlib target/channel.\n",
+       "// The kernel may be null if the page has been refreshed.\n",
+       "if (IPython.notebook.kernel != null) {\n",
+       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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\" width=\"800\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data = qc.Measure(vna.trace11).run()\n",
+    "plot = qc.MatPlot(subplots=(1,2))\n",
+    "plot.add(data.VNA_s11_magnitude, subplot=1)\n",
+    "plot.add(data.VNA_s11_phase, subplot=2)\n",
+    "plot.fig.tight_layout(rect=(0, 0, 1, 0.95))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also measure the magniture in dB."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "DataSet:\n",
+      "   location = 'data/2017-05-24/#049_{name}_14-35-58'\n",
+      "   <Type>   | <array_id>    | <array.name> | <array.shape>\n",
+      "   Measured | VNA_tracedb11 | tracedb11    | (100,)\n",
+      "acquired at 2017-05-24 14:35:58\n"
+     ]
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\n",
+       "\n",
+       "mpl.get_websocket_type = function() {\n",
+       "    if (typeof(WebSocket) !== 'undefined') {\n",
+       "        return WebSocket;\n",
+       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+       "        return MozWebSocket;\n",
+       "    } else {\n",
+       "        alert('Your browser does not have WebSocket support.' +\n",
+       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+       "              'Firefox 4 and 5 are also supported but you ' +\n",
+       "              'have to enable WebSockets in about:config.');\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+       "    this.id = figure_id;\n",
+       "\n",
+       "    this.ws = websocket;\n",
+       "\n",
+       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
+       "\n",
+       "    if (!this.supports_binary) {\n",
+       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
+       "        if (warnings) {\n",
+       "            warnings.style.display = 'block';\n",
+       "            warnings.textContent = (\n",
+       "                \"This browser does not support binary websocket messages. \" +\n",
+       "                    \"Performance may be slow.\");\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    this.imageObj = new Image();\n",
+       "\n",
+       "    this.context = undefined;\n",
+       "    this.message = undefined;\n",
+       "    this.canvas = undefined;\n",
+       "    this.rubberband_canvas = undefined;\n",
+       "    this.rubberband_context = undefined;\n",
+       "    this.format_dropdown = undefined;\n",
+       "\n",
+       "    this.image_mode = 'full';\n",
+       "\n",
+       "    this.root = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        this.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+       "        return false;\n",
+       "    });\n",
+       "\n",
+       "    function set_focus () {\n",
+       "        canvas.focus();\n",
+       "        canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    window.setTimeout(set_focus, 100);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) {\n",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+       "    // which will in turn request a refresh of the image.\n",
+       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_message = function(type, properties) {\n",
+       "    properties['type'] = type;\n",
+       "    properties['figure_id'] = this.id;\n",
+       "    this.ws.send(JSON.stringify(properties));\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_draw_message = function() {\n",
+       "    if (!this.waiting) {\n",
+       "        this.waiting = true;\n",
+       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    var format_dropdown = fig.format_dropdown;\n",
+       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+       "    fig.ondownload(fig, format);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+       "    var size = msg['size'];\n",
+       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+       "        fig._resize_canvas(size[0], size[1]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "\n",
+       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+       "    // Updates the figure title.\n",
+       "    fig.header.textContent = msg['label'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+       "    var cursor = msg['cursor'];\n",
+       "    switch(cursor)\n",
+       "    {\n",
+       "    case 0:\n",
+       "        cursor = 'pointer';\n",
+       "        break;\n",
+       "    case 1:\n",
+       "        cursor = 'default';\n",
+       "        break;\n",
+       "    case 2:\n",
+       "        cursor = 'crosshair';\n",
+       "        break;\n",
+       "    case 3:\n",
+       "        cursor = 'move';\n",
+       "        break;\n",
+       "    }\n",
+       "    fig.rubberband_canvas.style.cursor = cursor;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+       "    fig.message.textContent = msg['message'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+       "    // Request the server to send over a new figure.\n",
+       "    fig.send_draw_message();\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+       "    fig.image_mode = msg['mode'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Called whenever the canvas gets updated.\n",
+       "    this.send_message(\"ack\", {});\n",
+       "}\n",
+       "\n",
+       "// A function to construct a web socket function for onmessage handling.\n",
+       "// Called in the figure constructor.\n",
+       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+       "    return function socket_on_message(evt) {\n",
+       "        if (evt.data instanceof Blob) {\n",
+       "            /* FIXME: We get \"Resource interpreted as Image but\n",
+       "             * transferred with MIME type text/plain:\" errors on\n",
+       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
+       "             * to be part of the websocket stream */\n",
+       "            evt.data.type = \"image/png\";\n",
+       "\n",
+       "            /* Free the memory for the previous frames */\n",
+       "            if (fig.imageObj.src) {\n",
+       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
+       "                    fig.imageObj.src);\n",
+       "            }\n",
+       "\n",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+       "            fig.imageObj.src = evt.data;\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        var msg = JSON.parse(evt.data);\n",
+       "        var msg_type = msg['type'];\n",
+       "\n",
+       "        // Call the  \"handle_{type}\" callback, which takes\n",
+       "        // the figure and JSON message as its only arguments.\n",
+       "        try {\n",
+       "            var callback = fig[\"handle_\" + msg_type];\n",
+       "        } catch (e) {\n",
+       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        if (callback) {\n",
+       "            try {\n",
+       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+       "                callback(fig, msg);\n",
+       "            } catch (e) {\n",
+       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+       "            }\n",
+       "        }\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+       "mpl.findpos = function(e) {\n",
+       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+       "    var targ;\n",
+       "    if (!e)\n",
+       "        e = window.event;\n",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\n",
+       "\n",
+       "    return {\"x\": x, \"y\": y};\n",
+       "};\n",
+       "\n",
+       "/*\n",
+       " * return a copy of an object with only non-object keys\n",
+       " * we need this to avoid circular references\n",
+       " * http://stackoverflow.com/a/24161582/3208463\n",
+       " */\n",
+       "function simpleKeys (original) {\n",
+       "  return Object.keys(original).reduce(function (obj, key) {\n",
+       "    if (typeof original[key] !== 'object')\n",
+       "        obj[key] = original[key]\n",
+       "    return obj;\n",
+       "  }, {});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+       "    var canvas_pos = mpl.findpos(event)\n",
+       "\n",
+       "    if (name === 'button_press')\n",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "\n",
+       "    /* This prevents the web browser from automatically changing to\n",
+       "     * the text insertion cursor when the button is pressed.  We want\n",
+       "     * to control all of the cursor setting manually through the\n",
+       "     * 'cursor' event from matplotlib */\n",
+       "    event.preventDefault();\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    // Handle any extra behaviour associated with a key event\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.key_event = function(event, name) {\n",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\n",
+       "\n",
+       "    value += 'k';\n",
+       "    value += event.which.toString();\n",
+       "\n",
+       "    this._key_event_extra(event, name);\n",
+       "\n",
+       "    this.send_message(name, {key: value,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+       "\n",
+       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
+       "\n",
+       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
+       "    // object with the appropriate methods. Currently this is a non binary\n",
+       "    // socket, so there is still some room for performance tuning.\n",
+       "    var ws = {};\n",
+       "\n",
+       "    ws.close = function() {\n",
+       "        comm.close()\n",
+       "    };\n",
+       "    ws.send = function(m) {\n",
+       "        //console.log('sending', m);\n",
+       "        comm.send(m);\n",
+       "    };\n",
+       "    // Register the callback with on_msg.\n",
+       "    comm.on_msg(function(msg) {\n",
+       "        //console.log('receiving', msg['content']['data'], msg);\n",
+       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
+       "        ws.onmessage(msg['content']['data'])\n",
+       "    });\n",
+       "    return ws;\n",
+       "}\n",
+       "\n",
+       "mpl.mpl_figure_comm = function(comm, msg) {\n",
+       "    // This is the function which gets called when the mpl process\n",
+       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+       "\n",
+       "    var id = msg.content.data.id;\n",
+       "    // Get hold of the div created by the display call when the Comm\n",
+       "    // socket was opened in Python.\n",
+       "    var element = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\n",
+       "\n",
+       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+       "    // web socket which is closed, not our websocket->open comm proxy.\n",
+       "    ws_proxy.onopen();\n",
+       "\n",
+       "    fig.parent_element = element.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\n",
+       "\n",
+       "    // Update the output cell to use the data from the current canvas.\n",
+       "    fig.push_to_output();\n",
+       "    var dataURL = fig.canvas.toDataURL();\n",
+       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+       "    // the notebook keyboard shortcuts fail.\n",
+       "    IPython.keyboard_manager.enable()\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Tell IPython that the notebook contents must change.\n",
+       "    IPython.notebook.set_dirty(true);\n",
+       "    this.send_message(\"ack\", {});\n",
+       "    var fig = this;\n",
+       "    // Wait a second, then push the new image to the DOM so\n",
+       "    // that it is saved nicely (might be nice to debounce this).\n",
+       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items){\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('tabindex', 0)\n",
+       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
+       "    // off when our div gets focus\n",
+       "\n",
+       "    // location in version 3\n",
+       "    if (IPython.notebook.keyboard_manager) {\n",
+       "        IPython.notebook.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    var manager = IPython.notebook.keyboard_manager;\n",
+       "    if (!manager)\n",
+       "        manager = IPython.keyboard_manager;\n",
+       "\n",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.find_output_cell = function(html_output) {\n",
+       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+       "    // IPython event is triggered only after the cells have been serialised, which for\n",
+       "    // our purposes (turning an active figure into a static one), is too late.\n",
+       "    var cells = IPython.notebook.get_cells();\n",
+       "    var ncells = cells.length;\n",
+       "    for (var i=0; i<ncells; i++) {\n",
+       "        var cell = cells[i];\n",
+       "        if (cell.cell_type === 'code'){\n",
+       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+       "                var data = cell.output_area.outputs[j];\n",
+       "                if (data.data) {\n",
+       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
+       "                    data = data.data;\n",
+       "                }\n",
+       "                if (data['text/html'] == html_output) {\n",
+       "                    return [cell, data, j];\n",
+       "                }\n",
+       "            }\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "// Register the function which deals with the matplotlib target/channel.\n",
+       "// The kernel may be null if the page has been refreshed.\n",
+       "if (IPython.notebook.kernel != null) {\n",
+       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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\" width=\"800\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "vna.rf_on()\n",
+    "data = qc.Measure(vna.tracedb11).run()\n",
+    "plot = qc.MatPlot(data.VNA_tracedb11)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can display all 4 S parameters in a split view on the VNA display."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vna.display_sij_split()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Or we can display all 4 parameters in one view."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vna.display_sij_overlay()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can autoscale the scale the y axis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vna.autoscale_all()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "It is possible to switch the display update on and off"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vna.update_display_on()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "vna.update_display_off()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "And switch the rf output on and off"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vna.rf_on()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "vna.rf_off()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Doing a 2D sweep is supported too"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Started at 2017-05-24 14:36:07\n",
+      "DataSet:\n",
+      "   location = 'data/2017-05-24/#050_{name}_14-36-07'\n",
+      "   <Type>   | <array_id>        | <array.name>  | <array.shape>\n",
+      "   Setpoint | VNA_power11_set   | power11       | (15,)\n",
+      "   Setpoint | frequency_set     | frequency     | (15, 100)\n",
+      "   Measured | VNA_s11_magnitude | s11_magnitude | (15, 100)\n",
+      "   Measured | VNA_s11_phase     | s11_phase     | (15, 100)\n",
+      "Finished at 2017-05-24 14:36:10\n"
+     ]
+    }
+   ],
+   "source": [
+    "vna.rf_on()\n",
+    "data1 = qc.Loop(vna.power11.sweep(-15,-1,1)).each(vna.trace11).run()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\n",
+       "\n",
+       "mpl.get_websocket_type = function() {\n",
+       "    if (typeof(WebSocket) !== 'undefined') {\n",
+       "        return WebSocket;\n",
+       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+       "        return MozWebSocket;\n",
+       "    } else {\n",
+       "        alert('Your browser does not have WebSocket support.' +\n",
+       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+       "              'Firefox 4 and 5 are also supported but you ' +\n",
+       "              'have to enable WebSockets in about:config.');\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+       "    this.id = figure_id;\n",
+       "\n",
+       "    this.ws = websocket;\n",
+       "\n",
+       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
+       "\n",
+       "    if (!this.supports_binary) {\n",
+       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
+       "        if (warnings) {\n",
+       "            warnings.style.display = 'block';\n",
+       "            warnings.textContent = (\n",
+       "                \"This browser does not support binary websocket messages. \" +\n",
+       "                    \"Performance may be slow.\");\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    this.imageObj = new Image();\n",
+       "\n",
+       "    this.context = undefined;\n",
+       "    this.message = undefined;\n",
+       "    this.canvas = undefined;\n",
+       "    this.rubberband_canvas = undefined;\n",
+       "    this.rubberband_context = undefined;\n",
+       "    this.format_dropdown = undefined;\n",
+       "\n",
+       "    this.image_mode = 'full';\n",
+       "\n",
+       "    this.root = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        this.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+       "        return false;\n",
+       "    });\n",
+       "\n",
+       "    function set_focus () {\n",
+       "        canvas.focus();\n",
+       "        canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    window.setTimeout(set_focus, 100);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) {\n",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+       "    // which will in turn request a refresh of the image.\n",
+       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_message = function(type, properties) {\n",
+       "    properties['type'] = type;\n",
+       "    properties['figure_id'] = this.id;\n",
+       "    this.ws.send(JSON.stringify(properties));\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.send_draw_message = function() {\n",
+       "    if (!this.waiting) {\n",
+       "        this.waiting = true;\n",
+       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    var format_dropdown = fig.format_dropdown;\n",
+       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+       "    fig.ondownload(fig, format);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+       "    var size = msg['size'];\n",
+       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+       "        fig._resize_canvas(size[0], size[1]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "\n",
+       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+       "    // Updates the figure title.\n",
+       "    fig.header.textContent = msg['label'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+       "    var cursor = msg['cursor'];\n",
+       "    switch(cursor)\n",
+       "    {\n",
+       "    case 0:\n",
+       "        cursor = 'pointer';\n",
+       "        break;\n",
+       "    case 1:\n",
+       "        cursor = 'default';\n",
+       "        break;\n",
+       "    case 2:\n",
+       "        cursor = 'crosshair';\n",
+       "        break;\n",
+       "    case 3:\n",
+       "        cursor = 'move';\n",
+       "        break;\n",
+       "    }\n",
+       "    fig.rubberband_canvas.style.cursor = cursor;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+       "    fig.message.textContent = msg['message'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+       "    // Request the server to send over a new figure.\n",
+       "    fig.send_draw_message();\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+       "    fig.image_mode = msg['mode'];\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Called whenever the canvas gets updated.\n",
+       "    this.send_message(\"ack\", {});\n",
+       "}\n",
+       "\n",
+       "// A function to construct a web socket function for onmessage handling.\n",
+       "// Called in the figure constructor.\n",
+       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+       "    return function socket_on_message(evt) {\n",
+       "        if (evt.data instanceof Blob) {\n",
+       "            /* FIXME: We get \"Resource interpreted as Image but\n",
+       "             * transferred with MIME type text/plain:\" errors on\n",
+       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
+       "             * to be part of the websocket stream */\n",
+       "            evt.data.type = \"image/png\";\n",
+       "\n",
+       "            /* Free the memory for the previous frames */\n",
+       "            if (fig.imageObj.src) {\n",
+       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
+       "                    fig.imageObj.src);\n",
+       "            }\n",
+       "\n",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+       "            fig.imageObj.src = evt.data;\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        var msg = JSON.parse(evt.data);\n",
+       "        var msg_type = msg['type'];\n",
+       "\n",
+       "        // Call the  \"handle_{type}\" callback, which takes\n",
+       "        // the figure and JSON message as its only arguments.\n",
+       "        try {\n",
+       "            var callback = fig[\"handle_\" + msg_type];\n",
+       "        } catch (e) {\n",
+       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        if (callback) {\n",
+       "            try {\n",
+       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+       "                callback(fig, msg);\n",
+       "            } catch (e) {\n",
+       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+       "            }\n",
+       "        }\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+       "mpl.findpos = function(e) {\n",
+       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+       "    var targ;\n",
+       "    if (!e)\n",
+       "        e = window.event;\n",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\n",
+       "\n",
+       "    return {\"x\": x, \"y\": y};\n",
+       "};\n",
+       "\n",
+       "/*\n",
+       " * return a copy of an object with only non-object keys\n",
+       " * we need this to avoid circular references\n",
+       " * http://stackoverflow.com/a/24161582/3208463\n",
+       " */\n",
+       "function simpleKeys (original) {\n",
+       "  return Object.keys(original).reduce(function (obj, key) {\n",
+       "    if (typeof original[key] !== 'object')\n",
+       "        obj[key] = original[key]\n",
+       "    return obj;\n",
+       "  }, {});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+       "    var canvas_pos = mpl.findpos(event)\n",
+       "\n",
+       "    if (name === 'button_press')\n",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "\n",
+       "    /* This prevents the web browser from automatically changing to\n",
+       "     * the text insertion cursor when the button is pressed.  We want\n",
+       "     * to control all of the cursor setting manually through the\n",
+       "     * 'cursor' event from matplotlib */\n",
+       "    event.preventDefault();\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    // Handle any extra behaviour associated with a key event\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.key_event = function(event, name) {\n",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\n",
+       "\n",
+       "    value += 'k';\n",
+       "    value += event.which.toString();\n",
+       "\n",
+       "    this._key_event_extra(event, name);\n",
+       "\n",
+       "    this.send_message(name, {key: value,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+       "\n",
+       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
+       "\n",
+       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
+       "    // object with the appropriate methods. Currently this is a non binary\n",
+       "    // socket, so there is still some room for performance tuning.\n",
+       "    var ws = {};\n",
+       "\n",
+       "    ws.close = function() {\n",
+       "        comm.close()\n",
+       "    };\n",
+       "    ws.send = function(m) {\n",
+       "        //console.log('sending', m);\n",
+       "        comm.send(m);\n",
+       "    };\n",
+       "    // Register the callback with on_msg.\n",
+       "    comm.on_msg(function(msg) {\n",
+       "        //console.log('receiving', msg['content']['data'], msg);\n",
+       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
+       "        ws.onmessage(msg['content']['data'])\n",
+       "    });\n",
+       "    return ws;\n",
+       "}\n",
+       "\n",
+       "mpl.mpl_figure_comm = function(comm, msg) {\n",
+       "    // This is the function which gets called when the mpl process\n",
+       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+       "\n",
+       "    var id = msg.content.data.id;\n",
+       "    // Get hold of the div created by the display call when the Comm\n",
+       "    // socket was opened in Python.\n",
+       "    var element = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\n",
+       "\n",
+       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+       "    // web socket which is closed, not our websocket->open comm proxy.\n",
+       "    ws_proxy.onopen();\n",
+       "\n",
+       "    fig.parent_element = element.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\n",
+       "\n",
+       "    // Update the output cell to use the data from the current canvas.\n",
+       "    fig.push_to_output();\n",
+       "    var dataURL = fig.canvas.toDataURL();\n",
+       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+       "    // the notebook keyboard shortcuts fail.\n",
+       "    IPython.keyboard_manager.enable()\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function() {\n",
+       "    // Tell IPython that the notebook contents must change.\n",
+       "    IPython.notebook.set_dirty(true);\n",
+       "    this.send_message(\"ack\", {});\n",
+       "    var fig = this;\n",
+       "    // Wait a second, then push the new image to the DOM so\n",
+       "    // that it is saved nicely (might be nice to debounce this).\n",
+       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\n",
+       "    for(var toolbar_ind in mpl.toolbar_items){\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('tabindex', 0)\n",
+       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
+       "    // off when our div gets focus\n",
+       "\n",
+       "    // location in version 3\n",
+       "    if (IPython.notebook.keyboard_manager) {\n",
+       "        IPython.notebook.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+       "    var manager = IPython.notebook.keyboard_manager;\n",
+       "    if (!manager)\n",
+       "        manager = IPython.keyboard_manager;\n",
+       "\n",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.find_output_cell = function(html_output) {\n",
+       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+       "    // IPython event is triggered only after the cells have been serialised, which for\n",
+       "    // our purposes (turning an active figure into a static one), is too late.\n",
+       "    var cells = IPython.notebook.get_cells();\n",
+       "    var ncells = cells.length;\n",
+       "    for (var i=0; i<ncells; i++) {\n",
+       "        var cell = cells[i];\n",
+       "        if (cell.cell_type === 'code'){\n",
+       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+       "                var data = cell.output_area.outputs[j];\n",
+       "                if (data.data) {\n",
+       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
+       "                    data = data.data;\n",
+       "                }\n",
+       "                if (data['text/html'] == html_output) {\n",
+       "                    return [cell, data, j];\n",
+       "                }\n",
+       "            }\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "// Register the function which deals with the matplotlib target/channel.\n",
+       "// The kernel may be null if the page has been refreshed.\n",
+       "if (IPython.notebook.kernel != null) {\n",
+       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<img 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\" width=\"800\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot = qc.MatPlot(subplots=(1,2))\n",
+    "plot.add(data1.VNA_s11_magnitude, subplot=1)\n",
+    "plot.add(data1.VNA_s11_phase, subplot=2)\n",
+    "plot.fig.tight_layout(rect=(0, 0, 1, 0.95))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/qcodes/instrument_drivers/rohde_schwarz/ZNB20.py b/qcodes/instrument_drivers/rohde_schwarz/ZNB20.py
index 1131115c5914..a98177594357 100644
--- a/qcodes/instrument_drivers/rohde_schwarz/ZNB20.py
+++ b/qcodes/instrument_drivers/rohde_schwarz/ZNB20.py
@@ -1,45 +1,72 @@
+from functools import partial
+import logging
+
 from qcodes import VisaInstrument
 from qcodes.utils import validators as vals
 from cmath import phase
 import numpy as np
-from qcodes import MultiParameter, Parameter
+from qcodes import MultiParameter, ArrayParameter
 
+log = logging.getLogger(__name__)
 
-class FrequencySweep(MultiParameter):
+class FrequencySweepMagPhase(MultiParameter):
     """
     Hardware controlled parameter class for Rohde Schwarz RSZNB20 trace.
 
     Instrument returns an list of transmission data in the form of a list of
     complex numbers taken from a frequency sweep.
 
+    This is a multiparameter containing both amplitude and phase
+
+    Args:
+        name: parameter name
+        instrument: instrument the parameter belongs to
+        start: starting frequency of sweep
+        stop: ending frequency of sweep
+        npts: number of points in frequency sweep
+        channel: channel number. This maps to a hardware channel on znb
+        sindex: (tuple of ints) Which s'parameter this corresponds to. Only used for labels
+
+    Methods:
+          set_sweep(start, stop, npts): sets the shapes and
+              setpoint arrays of the parameter to correspond with the sweep
+          get(): executes a sweep and returns magnitude and phase arrays
+
     TODO:
-      - ability to choose for abs or db in magnitude return
+      - ability to choose for linear or db in magnitude return
     """
-    def __init__(self, name, instrument, start, stop, npts):
+    def __init__(self, name, instrument, start, stop, npts, channel, sindex):
         super().__init__(name, names=("", ""), shapes=((), ()))
         self._instrument = instrument
         self.set_sweep(start, stop, npts)
-        self.names = ('magnitude', 'phase')
-        self.units = ('dBm', 'rad')
+        self._channel = channel
+        self._sindex = sindex
+        sname = 's' + str(sindex[0]) + str(sindex[1])
+        self.names = ('{}_magnitude'.format(sname) , '{}_phase'.format(sname))
+        self.labels = ('{} magnitude'.format(sname), '{} phase'.format(sname))
+        self.units = ('', 'rad')
+        self.setpoint_units = (('Hz',), ('Hz',))
         self.setpoint_names = (('frequency',), ('frequency',))
 
     def set_sweep(self, start, stop, npts):
-        #  needed to update config of the software parameter on sweep chage
+        #  needed to update config of the software parameter on sweep change
         # freq setpoints tuple as needs to be hashable for look up
         f = tuple(np.linspace(int(start), int(stop), num=npts))
         self.setpoints = ((f,), (f,))
         self.shapes = ((npts,), (npts,))
 
     def get(self):
-        self._instrument.write('SENS1:AVER:STAT ON')
-        self._instrument.write('AVER:CLE')
+        if not self._instrument.rf_power():
+            log.warning("RF output is off")
+        self._instrument.write('SENS{}:AVER:STAT ON'.format(self._channel))
+        self._instrument.write('SENS{}:AVER:CLE'.format(self._channel))
         self._instrument.cont_meas_off()
 
         # instrument averages over its last 'avg' number of sweeps
         # need to ensure averaged result is returned
-        for avgcount in range(self._instrument.avg()):
+        for avgcount in range(getattr(self._instrument, 'avg{}{}'.format(*self._sindex))()):
             self._instrument.write('INIT:IMM; *WAI')
-        data_str = self._instrument.ask('CALC:DATA? SDAT').split(',')
+        data_str = self._instrument.ask('CALC{}:DATA? SDAT'.format(self._channel)).split(',')
         data_list = [float(v) for v in data_str]
 
         # data_list of complex numbers [re1,im1,re2,im2...]
@@ -53,6 +80,68 @@ def get(self):
         return mag_array, phase_array
 
 
+class FrequencySweep(ArrayParameter):
+    """
+    Hardware controlled parameter class for Rohde Schwarz RSZNB20 trace.
+
+    Instrument returns an array of transmission or reflection data depending on the
+    active measurement.
+
+    Args:
+        name: parameter name
+        instrument: instrument the parameter belongs to
+        start: starting frequency of sweep
+        stop: ending frequency of sweep
+        npts: number of points in frequency sweep
+        channel: channel number. This maps to a hardware channel on znb
+        sindex: (tuple of ints) Which s'parameter this corresponds to. Only used for labels
+
+    Methods:
+          set_sweep(start, stop, npts): sets the shapes and
+              setpoint arrays of the parameter to correspond with the sweep
+          get(): executes a sweep and returns magnitude and phase arrays
+
+    """
+    def __init__(self, name, instrument, start, stop, npts, channel, sindex):
+        sname = 's' + str(sindex[0]) + str(sindex[1])
+        super().__init__(name, shape=(npts,),
+                         instrument=instrument,
+                         unit='dB',
+                         label='{} magnitude'.format(sname),
+                         setpoint_units=('Hz',),
+                         setpoint_names=('frequency',))
+        self.set_sweep(start, stop, npts)
+        self._channel = channel
+        self._sindex = sindex
+
+    def set_sweep(self, start, stop, npts):
+        #  needed to update config of the software parameter on sweep change
+        # freq setpoints tuple as needs to be hashable for look up
+        f = tuple(np.linspace(int(start), int(stop), num=npts))
+        self.setpoints = (f,)
+        self.shape = (npts,)
+
+    def get(self):
+        if not self._instrument.rf_power():
+            log.warning("RF output is off")
+        format_param = getattr(self._instrument, 'format{}{}'.format(*self._sindex))
+        old_format = format_param()
+        format_param('dB')
+        self._instrument.write('SENS{}:AVER:STAT ON'.format(self._channel))
+        self._instrument.write('SENS{}:AVER:CLE'.format(self._channel))
+        self._instrument.cont_meas_off()
+
+        # instrument averages over its last 'avg' number of sweeps
+        # need to ensure averaged result is returned
+        for avgcount in range(getattr(self._instrument, 'avg{}{}'.format(*self._sindex))()):
+            self._instrument.write('INIT:IMM; *WAI')
+        data_str = self._instrument.ask('CALC{}:DATA? FDAT'.format(self._channel))
+        data = np.array(data_str.rstrip().split(',')).astype('float64')
+
+        self._instrument.cont_meas_on()
+        format_param(old_format)
+        return data
+
 class ZNB20(VisaInstrument):
     """
     qcodes driver for the Rohde & Schwarz ZNB20 virtual network analyser
@@ -60,57 +149,104 @@ class ZNB20(VisaInstrument):
     Requires FrequencySweep parameter for taking a trace
 
     TODO:
-    - centre/span settable for frequwncy sweep
+    - centre/span settable for frequency sweep
     - check initialisation settings and test functions
     """
     def __init__(self, name, address, **kwargs):
 
         super().__init__(name=name, address=address, **kwargs)
+        n = 1
+        self._sindex_to_channel = {}
+        self._channel_to_sindex = {}
+        self._max_freq = 20e9
+        self._min_freq = 100e3
+        for i in range(1,3):
+            self._sindex_to_channel[i] = {}
+            for j in range(1,3):
+                self.add_parameter(name='power{}{}'.format(i, j),
+                                   label='Power{}{}'.format(i, j),
+                                   unit='dBm',
+                                   get_cmd='SOUR{}:POW?'.format(n),
+                                   set_cmd='SOUR{}'.format(n)+':POW {:.4f}',
+                                   get_parser=int,
+                                   vals=vals.Numbers(-150, 25))
+                self.add_parameter(name='bandwidth{}{}'.format(i, j),
+                                   label='Bandwidth{}{}'.format(i, j),
+                                   unit='Hz',
+                                   get_cmd='SENS{}:BAND?'.format(n),
+                                   set_cmd='SENS{}'.format(n)+':BAND {:.4f}',
+                                   get_parser=int,
+                                   vals=vals.Numbers(1, 1e6))
+                self.add_parameter(name='avg{}{}'.format(i ,j),
+                                   label='Averages{}{}'.format(i ,j),
+                                   unit='',
+                                   get_cmd='SENS{}:AVER:COUN?'.format(n),
+                                   set_cmd='SENS{}'.format(n)+':AVER:COUN {:.4f}',
+                                   get_parser=int,
+                                   vals=vals.Numbers(1, 5000))
+                self.add_parameter(name='start{}{}'.format(i ,j),
+                                   get_cmd='SENS{}:FREQ:START?'.format(n),
+                                   set_cmd=partial(self._set_start, channel=n),
+                                   get_parser=float,
+                                   vals=vals.Numbers(self._min_freq, self._max_freq-10))
+                self.add_parameter(name='stop{}{}'.format(i ,j),
+                                   get_cmd='SENS{}:FREQ:STOP?'.format(n),
+                                   set_cmd=partial(self._set_stop, channel=n),
+                                   get_parser=float,
+                                   vals = vals.Numbers(self._min_freq+1, self._max_freq))
+                self.add_parameter(name='center{}{}'.format(i ,j),
+                                   get_cmd='SENS{}:FREQ:CENT?'.format(n),
+                                   set_cmd=partial(self._set_center, channel=n),
+                                   get_parser=float,
+                                   vals=vals.Numbers(self._min_freq + 0.5, self._max_freq-10))
+                self.add_parameter(name='span{}{}'.format(i ,j),
+                                   get_cmd = 'SENS{}:FREQ:SPAN?'.format(n),
+                                   set_cmd=partial(self._set_span, channel=n),
+                                   get_parser=float,
+                                   vals = vals.Numbers(1, self._max_freq - self._min_freq))
+                self.add_parameter(name='npts{}{}'.format(i ,j),
+                                   get_cmd='SENS:SWE:POIN?',
+                                   set_cmd=partial(self._set_npts, channel=n),
+                                   get_parser=int)
+                self.add_parameter(name='format{}{}'.format(i ,j),
+                                   get_cmd='CALC{}:FORM?'.format(n),
+                                   set_cmd='CALC{}:FORM {{}}'.format(n),
+                                   val_mapping={'dB': 'MLOG\n',
+                                                'Linear Magnitude': 'MLIN\n',
+                                                'Phase': 'PHAS\n',
+                                                'Unwr Phase': 'UPH\n',
+                                                'Polar': 'POL\n',
+                                                'Smith': 'SMIT\n',
+                                                'Inverse Smith': 'ISM\n',
+                                                'SWR': 'SWR\n',
+                                                'Real': 'REAL\n',
+                                                'Imaginary': 'IMAG\n',
+                                                'Delay': "GDEL\n",
+                                                'Complex': "COMP\n"
+                                                })
 
-        self.add_parameter(name='power',
-                           label='Power',
-                           unit='dBm',
-                           get_cmd='SOUR:POW?',
-                           set_cmd='SOUR:POW {:.4f}',
-                           get_parser=int,
-                           vals=vals.Numbers(-150, 25))
-
-        self.add_parameter(name='bandwidth',
-                           label='Bandwidth',
-                           unit='Hz',
-                           get_cmd='SENS:BAND?',
-                           set_cmd='SENS:BAND {:.4f}',
-                           get_parser=int,
-                           vals=vals.Numbers(1, 1e6))
-
-        self.add_parameter(name='avg',
-                           label='Averages',
-                           unit='',
-                           get_cmd='AVER:COUN?',
-                           set_cmd='AVER:COUN {:.4f}',
-                           get_parser=int,
-                           vals=vals.Numbers(1, 5000))
-
-        self.add_parameter(name='start',
-                           get_cmd='SENS:FREQ:START?',
-                           set_cmd=self._set_start,
-                           get_parser=int)
-
-        self.add_parameter(name='stop',
-                           get_cmd='SENS:FREQ:STOP?',
-                           set_cmd=self._set_stop,
-                           get_parser=int)
-
-        self.add_parameter(name='npts',
-                           get_cmd='SENS:SWE:POIN?',
-                           set_cmd=self._set_npts,
-                           get_parser=int)
-
-        self.add_parameter(name='trace',
-                           start=self.start(),
-                           stop=self.stop(),
-                           npts=self.npts(),
-                           parameter_class=FrequencySweep)
+                self.add_parameter(name='trace{}{}'.format(i, j),
+                                   start=getattr(self, 'start{}{}'.format(i, j))(),
+                                   stop=getattr(self, 'stop{}{}'.format(i, j))(),
+                                   npts=getattr(self, 'npts{}{}'.format(i, j))(),
+                                   channel=n,
+                                   sindex=(i, j),
+                                   parameter_class=FrequencySweepMagPhase)
+                self.add_parameter(name='tracedb{}{}'.format(i, j),
+                                   start=getattr(self, 'start{}{}'.format(i, j))(),
+                                   stop=getattr(self, 'stop{}{}'.format(i, j))(),
+                                   npts=getattr(self, 'npts{}{}'.format(i, j))(),
+                                   channel=n,
+                                   sindex=(i, j),
+                                   parameter_class=FrequencySweep)
+                self._sindex_to_channel[i][j] = n
+                self._channel_to_sindex[n] = (i, j)
+                n += 1
+
+        self.add_parameter(name='rf_power',
+                           get_cmd='OUTP1?',
+                           set_cmd='OUTP1 {}',
+                           val_mapping={True: '1\n', False: '0\n'})
 
         self.add_function('reset', call_cmd='*RST')
         self.add_function('tooltip_on', call_cmd='SYST:ERR:DISP ON')
@@ -120,35 +256,115 @@ def __init__(self, name, address, **kwargs):
         self.add_function('update_display_once', call_cmd='SYST:DISP:UPD ONCE')
         self.add_function('update_display_on', call_cmd='SYST:DISP:UPD ON')
         self.add_function('update_display_off', call_cmd='SYST:DISP:UPD OFF')
+        self.add_function('display_sij_split', call_cmd='DISP:LAY GRID;:DISP:LAY:GRID 2,2')
+        self.add_function('display_sij_overlay', call_cmd='DISP:LAY GRID;:DISP:LAY:GRID 1,1')
         self.add_function('rf_off', call_cmd='OUTP1 OFF')
         self.add_function('rf_on', call_cmd='OUTP1 ON')
 
+        self._setup_s_channels()
         self.initialise()
+        self.autoscale_all()
         self.connect_message()
 
-    def _set_start(self, val):
-        self.write('SENS:FREQ:START {:.4f}'.format(val))
+
+    def autoscale_all(self):
+        for i in range(1,5):
+            self.write('DISPlay:TRACe1:Y:SCALe:AUTO ONCE, "Trc{}"'.format(i))
+
+    def _setup_s_channels(self):
+        """
+        Sets up 4 channels with a single trace in each.
+        Each channel will contain one trace.
+        """
+        for i in range(1,3):
+            for j in range(1,3):
+                n = self._sindex_to_channel[i][j]
+                self.write("CALC{}:PAR:SDEF 'Trc{}', 'S{}{}'".format(n, n, i, j))
+
+    def _set_start(self, val, channel):
+        self.write('SENS{}:FREQ:START {:.4f}'.format(channel, val))
+        i, j = self._channel_to_sindex[channel]
+        stop = getattr(self, 'stop{}{}'.format(i, j))()
+        npts = getattr(self, 'npts{}{}'.format(i, j))()
+
+        if val >= stop:
+            raise ValueError("Stop frequency must be larger than start frequency.")
+        # we get start as the vna may not be able to set it to the exact value provided
+        start = getattr(self, 'start{}{}'.format(i, j))()
+        if val != start:
+            log.warning("Could not set start to {} setting it to {}".format(val, start))
         # update setpoints for FrequencySweep param
-        self.trace.set_sweep(val, self.stop(), self.npts())
+        trace = getattr(self, 'trace{}{}'.format(i, j))
+        trace.set_sweep(start, stop, npts)
+        tracedb = getattr(self, 'tracedb{}{}'.format(i, j))
+        tracedb.set_sweep(start, stop, npts)
 
-    def _set_stop(self, val):
-        self.write('SENS:FREQ:STOP {:.4f}'.format(val))
+    def _set_stop(self, val, channel):
+        i, j = self._channel_to_sindex[channel]
+        start = getattr(self, 'start{}{}'.format(i, j))()
+        npts = getattr(self, 'npts{}{}'.format(i, j))()
+        trace = getattr(self, 'trace{}{}'.format(i, j))
+        if val <= start:
+            raise ValueError("Stop frequency must be larger than start frequency.")
+        self.write('SENS{}:FREQ:STOP {:.4f}'.format(channel, val))
+        # we get stop as the vna may not be able to set it to the exact value provided
+        stop = getattr(self, 'stop{}{}'.format(i, j))()
+        if val != stop:
+            log.warning("Could not set stop to {} setting it to {}".format(val, stop))
         # update setpoints for FrequencySweep param
-        self.trace.set_sweep(self.start(), val, self.npts())
+        trace.set_sweep(start, stop, npts)
+        tracedb = getattr(self, 'tracedb{}{}'.format(i, j))
+        tracedb.set_sweep(start, stop, npts)
 
-    def _set_npts(self, val):
-        self.write('SENS:SWE:POIN {:.4f}'.format(val))
+    def _set_npts(self, val, channel):
+        self.write('SENS{}:SWE:POIN {:.4f}'.format(channel, val))
+        i, j = self._channel_to_sindex[channel]
+        start = getattr(self, 'start{}{}'.format(i, j))()
+        stop = getattr(self, 'stop{}{}'.format(i, j))()
+        trace = getattr(self, 'trace{}{}'.format(i, j))
         # update setpoints for FrequencySweep param
-        self.trace.set_sweep(self.start(), self.stop(), val)
+        trace.set_sweep(start, stop, val)
+        tracedb = getattr(self, 'tracedb{}{}'.format(i, j))
+        tracedb.set_sweep(start, stop, val)
+
+    def _set_span(self, val, channel):
+        self.write('SENS{}:FREQ:SPAN {:.4f}'.format(channel, val))
+        i, j = self._channel_to_sindex[channel]
+        start = getattr(self, 'start{}{}'.format(i, j))()
+        stop = getattr(self, 'stop{}{}'.format(i, j))()
+        npts = getattr(self, 'npts{}{}'.format(i, j))()
+        trace = getattr(self, 'trace{}{}'.format(i, j))
+        trace.set_sweep(start, stop, npts)
+        tracedb = getattr(self, 'tracedb{}{}'.format(i, j))
+        tracedb.set_sweep(start, stop, npts)
+
+    def _set_center(self, val, channel):
+        self.write('SENS{}:FREQ:CENT {:.4f}'.format(channel, val))
+        i, j = self._channel_to_sindex[channel]
+        start = getattr(self, 'start{}{}'.format(i, j))()
+        stop = getattr(self, 'stop{}{}'.format(i, j))()
+        npts = getattr(self, 'npts{}{}'.format(i, j))()
+        trace = getattr(self, 'trace{}{}'.format(i, j))
+        trace.set_sweep(start, stop, npts)
+        tracedb = getattr(self, 'tracedb{}{}'.format(i, j))
+        tracedb.set_sweep(start, stop, npts)
+
+    def _set_default_values(self):
+        for i in range(1,3):
+            for j in range(1,3):
+                getattr(self, 'start{}{}'.format(i,j))(1e6)
+                getattr(self, 'stop{}{}'.format(i, j))(2e6)
+                getattr(self, 'npts{}{}'.format(i, j))(10)
+                getattr(self, 'power{}{}'.format(i, j))(-50)
 
     def initialise(self):
         self.write('*RST')
-        self.write('SENS1:SWE:TYPE LIN')
-        self.write('SENS1:SWE:TIME:AUTO ON')
-        self.write('TRIG1:SEQ:SOUR IMM')
-        self.write('SENS1:AVER:STAT ON')
+        for n in range(1,5):
+            self.write('SENS{}:SWE:TYPE LIN'.format(n))
+            self.write('SENS{}:SWE:TIME:AUTO ON'.format(n))
+            self.write('TRIG{}:SEQ:SOUR IMM'.format(n))
+            self.write('SENS{}:AVER:STAT ON'.format(n))
         self.update_display_on()
-        self.start(1e6)
-        self.stop(2e6)
-        self.npts(10)
-        self.power(-50)
+        self._set_default_values()
+        self.rf_off()
+        self.display_sij_split()
\ No newline at end of file