osciloskop.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Oscilloskope USBTCM utility"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RIGOL TECHNOLOGIES,DS2072A,DS2D204202923,00.03.05.SP4\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import sys\n",
    "import os\n",
    "import time\n",
    "import h5py\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "# TRYING TO ADAPT THE SCRIPT FOR THE MICSIG detector\n",
    "\n",
    "# Create ownership rule as /etc/udev/rules.d/99-micsig.rules\n",
    "# SUBSYSTEMS==\"usb\", ATTRS{idVendor}==\"18d1\", ATTRS{idProduct}==\"0303\", GROUP=\"medved\", MODE=\"0666\"\n",
    "\n",
    "class UsbTmcDriver:\n",
    "\n",
    "    def __init__(self, device):\n",
    "        self.device = device\n",
    "        self.FILE = os.open(device, os.O_RDWR)\n",
    " \n",
    "    def write(self, command):\n",
    "        os.write(self.FILE, command);\n",
    " \n",
    "    def read(self, length = 2048):\n",
    "        return os.read(self.FILE, length)\n",
    " \n",
    "    def getName(self):\n",
    "        self.write(\"*IDN?\")\n",
    "        return self.read(300)\n",
    " \n",
    "    def sendReset(self):\n",
    "        self.write(\"*RST\")  # Be carefull, this real resets an oscilloscope\n",
    "\n",
    "# Looking for USBTMC device\n",
    "def getDeviceList(): \n",
    "    dirList=os.listdir(\"/dev\")\n",
    "    result=list()\n",
    "\n",
    "    for fname in dirList:\n",
    "        if(fname.startswith(\"usbtmc\")):\n",
    "            result.append(\"/dev/\" + fname)\n",
    "\n",
    "    return result\n",
    "\n",
    "# looking for oscilloscope\n",
    "devices =  getDeviceList()\n",
    "# initiate oscilloscope\n",
    "osc = UsbTmcDriver(devices[0])\n",
    "\n",
    "print osc.getName()\n",
    "#osc.write(\":STOP\")\n",
    "#osc.write(\":WAW:SOUR CH1\")\n",
    "#osc.write(\":WAW:MODE NORMAL\")\n",
    "#osc.write(\":WAW:BEGIN\")\n",
    "#print osc.read(2048)\n",
    "#osc.write(\":WAV:POIN\")\n",
    "#osc.write(\":STORAGE:SAVE CH1 LOCAL\")\n",
    "\n",
    "#osc.write(\":STOR:CAPT?\")\n",
    "#time.sleep(1.0)\n",
    "#print osc.read()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"638.888905813665\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "fig,ax = plt.subplots(1,1)\n",
    "\n",
    "osc.write(':WAV:SOUR CHAN1')\n",
    "time.sleep(0.01)\n",
    "osc.write(':WAV:MODE NORM')\n",
    "time.sleep(0.01)\n",
    "#osc.write(':WAV:FORM BYTE')\n",
    "#osc.write(':WAV:POIN 700')\n",
    "\n",
    "osc.write(':WAV:DATA?')\n",
    "wave1 = bytearray(osc.read(500))\n",
    "wave2 = bytearray(osc.read(500))\n",
    "wave = np.concatenate((wave1[11:],wave2[:(700-489)]))\n",
    "fig.clf()\n",
    "plt.ylim(0, 255)\n",
    "plt.plot(wave)\n",
    "fig.canvas.draw()\n",
    "\n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Capture notes\n",
    "\n",
    "There is a FTP server that can save to CSV files.\n",
    "Note:\n",
    "Set Display:Persist:None\n",
    "Set Display:Waveform:Dots\n",
    "\n",
    "8888 is for remote control.\n",
    "\n",
    "See also:\n",
    "https://www.eevblog.com/forum/testgear/micsig-to1104-(similar-to-rigol-1104z)/125/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read number of waveforms and wtite it to a file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"638.888905813665\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XINC: 5e-07\n",
      "YINC: 0.0004\n"
     ]
    }
   ],
   "source": [
    "runs = 10\n",
    "\n",
    "%matplotlib notebook\n",
    "fig,ax = plt.subplots(1,1)\n",
    "\n",
    "osc.write(':WAV:XINC?')\n",
    "xinc = float(osc.read(100))\n",
    "print 'XINC:', xinc\n",
    "osc.write(':WAV:YINC?')\n",
    "yinc = float(osc.read(100))\n",
    "print 'YINC:', yinc\n",
    "\n",
    "osc.write(':WAV:SOUR CHAN1')\n",
    "osc.write(':WAV:MODE NORM')\n",
    "osc.write(':WAV:FORM BYTE')\n",
    "osc.write(':WAV:POIN 700')\n",
    "\n",
    "with h5py.File('data.h5', 'w') as hf:\n",
    "    hf.create_dataset('XINC', data=(xinc))\n",
    "    hf.create_dataset('YINC', data=(yinc))\n",
    "    #hf.create_dataset('YINC', bytearray(yinc))\n",
    "    for n in range(runs):\n",
    "        #osc.write(':RUN')\n",
    "        # waiting for SINGLE trigger\n",
    "        osc.write(':SING')\n",
    "        osc.write(':TRIG:STAT?')\n",
    "        while (osc.read(4) != 'STOP'):\n",
    "            osc.write(':TRIG:STAT?')\n",
    "        time.sleep(0.1)\n",
    "\n",
    "        #osc.write(':STOP')\n",
    "        osc.write(':WAV:DATA?')\n",
    "        wave1 = bytearray(osc.read(500))\n",
    "        wave2 = bytearray(osc.read(500))\n",
    "        wave = np.concatenate((wave1[11:],wave2[:(700-489)]))\n",
    "        #osc.write(':WAV:RES')\n",
    "        hf.create_dataset(str(n), data=wave)\n",
    "        fig.clf()\n",
    "        plt.ylim(0, 255)\n",
    "        plt.plot(wave)\n",
    "        fig.canvas.draw()\n",
    "\n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read waveforms from the file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XINC: 5e-07    YINC: 0.0004\n",
      "124 132 89647\n",
      "124 132 89647\n",
      "124 132 89647\n",
      "124 132 89647\n",
      "124 132 89647\n",
      "124 132 89647\n",
      "124 132 89647\n",
      "124 132 89647\n",
      "124 132 89647\n",
      "124 132 89647\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline \n",
    "\n",
    "with h5py.File('data.h5','r') as hf:\n",
    "    #print('List of arrays in this file: \\n', hf.keys())\n",
    "    print 'XINC:', np.array(hf.get('XINC')), '   YINC:', np.array(hf.get('YINC'))\n",
    "    for n in range(10):\n",
    "        data = hf.get(str(n))\n",
    "        np_data = np.array(data)\n",
    "        plt.plot(np_data)\n",
    "        #print np_data\n",
    "        maximum = 0\n",
    "        minimum = 255\n",
    "        suma = 0\n",
    "        for i in range(700):\n",
    "            if np_data[i] > maximum:\n",
    "                maximum = np_data[i]\n",
    "            if np_data[i] < minimum:\n",
    "                minimum = np_data[i]\n",
    "            suma = suma + np_data[i]\n",
    "        print minimum, maximum, suma\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Capture waveforms and plot it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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width=\"638.888905813665\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "NameError",
     "evalue": "name 'pd' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-7-5293e29ea3ee>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0mosc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mUsbTmcDriver\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevices\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSeries\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# Create a new dataframe\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mn\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined"
     ]
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "\n",
    "fig,ax = plt.subplots(1,1)\n",
    "\n",
    "# looking for oscilloscope\n",
    "devices =  getDeviceList()\n",
    "# initiate oscilloscope\n",
    "osc = UsbTmcDriver(devices[0])\n",
    "\n",
    "df = pd.Series(0) # Create a new dataframe\n",
    "\n",
    "for n in range(10):\n",
    "    # waiting for SINGLE trigger\n",
    "    osc.write(':SINGLE')\n",
    "    osc.write(':TRIG:STAT?')\n",
    "    while (osc.read(4) != 'STOP'):\n",
    "        osc.write(':TRIG:STAT?')\n",
    "\n",
    "    #osc.write(':STOP')\n",
    "    osc.write(':WAV:SOUR CHAN1')\n",
    "    osc.write(':WAV:MODE NORM')\n",
    "    osc.write(':WAV:FORM BYTE')\n",
    "    osc.write(':WAV:DATA?')\n",
    "\n",
    "    #wave = map(float, osc.read(100).split(','))\n",
    "    wave = bytearray(osc.read(1400))\n",
    "\n",
    "    fig.clf()\n",
    "    plt.ylim(0, 255)\n",
    "    plt.plot(wave[10:])\n",
    "    fig.canvas.draw()\n",
    "    time.sleep(0.1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XINC: 5e-07\n",
      "YINC: 0.0004\n",
      "XINC: 5e-07    YINC: 0.0004\n",
      "124 132 89647\n",
      "124 132 89647\n",
      "124 132 89647\n",
      "124 132 89647\n",
      "124 132 89647\n",
      "124 132 89647\n",
      "124 132 89647\n",
      "124 132 89647\n",
      "124 132 89647\n",
      "124 132 89647\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "runs = 10\n",
    "\n",
    "osc.write(':WAV:XINC?')\n",
    "xinc = float(osc.read(100))\n",
    "print 'XINC:', xinc\n",
    "osc.write(':WAV:YINC?')\n",
    "yinc = float(osc.read(100))\n",
    "print 'YINC:', yinc\n",
    "\n",
    "osc.write(':WAV:SOUR CHAN1')\n",
    "osc.write(':WAV:MODE NORM')\n",
    "osc.write(':WAV:FORM BYTE')\n",
    "osc.write(':WAV:POIN 700')\n",
    "\n",
    "with h5py.File('data.h5', 'w') as hf:\n",
    "    hf.create_dataset('XINC', data=(xinc))\n",
    "    hf.create_dataset('YINC', data=(yinc))\n",
    "    #hf.create_dataset('YINC', bytearray(yinc))\n",
    "    for n in range(runs):\n",
    "        #osc.write(':RUN')\n",
    "        # waiting for SINGLE trigger\n",
    "        osc.write(':SING')\n",
    "        osc.write(':TRIG:STAT?')\n",
    "        while (osc.read(4) != 'STOP'):\n",
    "            osc.write(':TRIG:STAT?')\n",
    "        time.sleep(0.2)\n",
    "\n",
    "        #osc.write(':STOP')\n",
    "        osc.write(':WAV:DATA?')\n",
    "        wave1 = bytearray(osc.read(500))\n",
    "        wave2 = bytearray(osc.read(500))\n",
    "        wave = np.concatenate((wave1[11:],wave2[:(700-489)]))\n",
    "        #osc.write(':WAV:END')\n",
    "        hf.create_dataset(str(n), data=wave)\n",
    "\n",
    "%matplotlib inline \n",
    "\n",
    "with h5py.File('data.h5','r') as hf:\n",
    "    #print('List of arrays in this file: \\n', hf.keys())\n",
    "    print 'XINC:', np.array(hf.get('XINC')), '   YINC:', np.array(hf.get('YINC'))\n",
    "    for n in range(10):\n",
    "        data = hf.get(str(n))\n",
    "        np_data = np.array(data)\n",
    "        plt.plot(np_data)\n",
    "        #print np_data\n",
    "        maximum = 0\n",
    "        minimum = 255\n",
    "        suma = 0\n",
    "        for i in range(700):\n",
    "            if np_data[i] > maximum:\n",
    "                maximum = np_data[i]\n",
    "            if np_data[i] < minimum:\n",
    "                minimum = np_data[i]\n",
    "            suma = suma + np_data[i]\n",
    "        print minimum, maximum, suma\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "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",
       "        };\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",
       "            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;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    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 + '\">');\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 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 = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XINC: 2e-10\n",
      "YINC: 0.0004\n"
     ]
    }
   ],
   "source": [
    "runs = 1\n",
    "\n",
    "%matplotlib notebook\n",
    "fig,ax = plt.subplots(1,1)\n",
    "\n",
    "osc.write(':WAV:XINC?')\n",
    "xinc = float(osc.read(100))\n",
    "print 'XINC:', xinc\n",
    "osc.write(':WAV:YINC?')\n",
    "yinc = float(osc.read(100))\n",
    "print 'YINC:', yinc\n",
    "\n",
    "osc.write(':WAV:SOUR CHAN1')\n",
    "osc.write(':WAV:MODE NORM')\n",
    "osc.write(':WAV:FORM BYTE')\n",
    "osc.write(':WAV:POIN 700')\n",
    "\n",
    "with h5py.File('data.h5', 'w') as hf:\n",
    "    hf.create_dataset('XINC', data=(xinc))\n",
    "    hf.create_dataset('YINC', data=(yinc))\n",
    "    #hf.create_dataset('YINC', bytearray(yinc))\n",
    "    for n in range(runs):\n",
    "        #osc.write(':RUN')\n",
    "        # waiting for SINGLE trigger\n",
    "        #osc.write(':SING')\n",
    "        #osc.write(':TRIG:STAT?')\n",
    "        #while (osc.read(4) != 'STOP'):\n",
    "        #    osc.write(':TRIG:STAT?')\n",
    "        #time.sleep(0.1)\n",
    "\n",
    "        #osc.write(':STOP')\n",
    "        osc.write(':WAV:DATA?')\n",
    "        wave1 = bytearray(osc.read(500))\n",
    "        wave2 = bytearray(osc.read(500))\n",
    "        wave = np.concatenate((wave1[11:],wave2[:(700-489)]))\n",
    "        #osc.write(':WAV:RES')\n",
    "        hf.create_dataset(str(n), data=wave)\n",
    "        fig.clf()\n",
    "        plt.ylim(0, 255)\n",
    "        plt.plot(wave)\n",
    "        fig.canvas.draw()\n",
    "\n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Readin buffer with stored records"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FRAMES: 63\n"
     ]
    }
   ],
   "source": [
    "with h5py.File('data.h5', 'w') as hf:\n",
    "    osc.write(':FUNC:WREP:FEND?') # get number of last frame\n",
    "    frames = int(osc.read(100))\n",
    "    print 'FRAMES:', frames\n",
    "    hf.create_dataset('FRAMES', data=(frames)) # write number of frames\n",
    "    hf.create_dataset('XINC', data=(xinc)) # write axis parameters\n",
    "    hf.create_dataset('YINC', data=(yinc))\n",
    "    for n in range(1,frames+1):\n",
    "        osc.write(':FUNC:WREP:FCUR ' + str(n)) # skip to n-th frame\n",
    "        time.sleep(0.1)\n",
    "\n",
    "        osc.write(':WAV:DATA?') # read data\n",
    "        #time.sleep(0.4)\n",
    "        wave1 = bytearray(osc.read(500))\n",
    "        wave2 = bytearray(osc.read(500))\n",
    "        wave = np.concatenate((wave1[11:],wave2[:(700-489)]))\n",
    "        hf.create_dataset(str(n), data=wave)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XINC: 2e-10    YINC: 0.0004    FRAMES: 63\n",
      "103 145 87233\n",
      "103 145 87233\n",
      "103 145 87233\n",
      "103 146 89092\n",
      "103 145 87897\n",
      "101 152 88042\n",
      "100 142 87607\n",
      "103 152 86780\n",
      "103 150 87578\n",
      "104 146 87954\n",
      "107 153 88190\n",
      "105 149 88007\n",
      "97 151 87104\n",
      "101 149 87967\n",
      "101 148 85852\n",
      "103 145 87901\n",
      "107 152 89560\n",
      "100 151 88111\n",
      "103 145 86962\n",
      "101 151 90102\n",
      "109 147 88865\n",
      "104 150 89023\n",
      "104 148 90079\n",
      "100 146 88091\n",
      "109 148 89772\n",
      "99 149 87950\n",
      "105 149 90386\n",
      "106 145 89144\n",
      "102 148 87324\n",
      "103 150 86909\n",
      "98 152 88214\n",
      "98 144 87709\n",
      "105 146 88565\n",
      "107 151 90289\n",
      "103 147 88009\n",
      "102 148 87115\n",
      "104 150 88885\n",
      "102 147 87891\n",
      "102 148 86521\n",
      "100 150 87720\n",
      "102 147 87306\n",
      "103 145 88096\n",
      "103 145 85513\n",
      "107 154 88847\n",
      "104 150 88482\n",
      "102 150 86685\n",
      "107 148 90069\n",
      "104 150 91686\n",
      "100 150 86378\n",
      "99 152 89075\n",
      "109 149 90434\n",
      "105 148 87319\n",
      "107 150 90804\n",
      "101 147 89014\n",
      "104 146 87778\n",
      "100 152 88572\n",
      "104 151 90475\n",
      "107 150 88019\n",
      "104 148 86880\n",
      "102 148 86379\n",
      "101 144 85813\n",
      "101 149 89638\n",
      "101 151 89416\n"
     ]
    },
    {
     "data": {
      "image/png": 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I9cfo/UUvoxv9PDQwwGdynQiVXgzhQgZla9qc++aboOh0LD9fR6w/RmJQRe+M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\nwYS4TZQkrMY9urnDfC1AQaCjY89c7v4kpHYPq1ik9ZDK9IzB6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cwl6nPnI+Xmm7n5lt/G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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff26b0befd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline \n",
    "\n",
    "with h5py.File('data.h5','r') as hf:\n",
    "    #print('List of arrays in this file: \\n', hf.keys())\n",
    "    print 'XINC:', np.array(hf.get('XINC')), '   YINC:', np.array(hf.get('YINC')), '   FRAMES:', np.array(hf.get('FRAMES'))\n",
    "    frames = np.array(hf.get('FRAMES'))\n",
    "    for n in range(1,frames+1):\n",
    "        data = hf.get(str(n))\n",
    "        np_data = np.array(data)\n",
    "        plt.plot(np_data)\n",
    "        #print np_data\n",
    "        maximum = 0\n",
    "        minimum = 255\n",
    "        suma = 0\n",
    "        for i in range(700):\n",
    "            if np_data[i] > maximum:\n",
    "                maximum = np_data[i]\n",
    "            if np_data[i] < minimum:\n",
    "                minimum = np_data[i]\n",
    "            suma = suma + np_data[i]\n",
    "        print minimum, maximum, suma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "ename": "IOError",
     "evalue": "Unable to open file (unable to open file: name = 'data2.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mIOError\u001b[0m                                   Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-10-51ff3a925788>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mh5py\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'data2.h5'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'r'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mhf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     12\u001b[0m     \u001b[0;31m#print('List of arrays in this file: \\n', hf.keys())\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m     \u001b[0;32mprint\u001b[0m \u001b[0;34m'XINC:'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'XINC'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'   YINC:'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'YINC'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'   FRAMES:'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'FRAMES'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python2.7/dist-packages/h5py/_hl/files.pyc\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, name, mode, driver, libver, userblock_size, swmr, **kwds)\u001b[0m\n\u001b[1;32m    310\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mphil\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    311\u001b[0m                 \u001b[0mfapl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmake_fapl\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdriver\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlibver\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 312\u001b[0;31m                 \u001b[0mfid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmake_fid\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0muserblock_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfapl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mswmr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mswmr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    313\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    314\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mswmr_support\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python2.7/dist-packages/h5py/_hl/files.pyc\u001b[0m in \u001b[0;36mmake_fid\u001b[0;34m(name, mode, userblock_size, fapl, fcpl, swmr)\u001b[0m\n\u001b[1;32m    140\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mswmr\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mswmr_support\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    141\u001b[0m             \u001b[0mflags\u001b[0m \u001b[0;34m|=\u001b[0m \u001b[0mh5f\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mACC_SWMR_READ\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 142\u001b[0;31m         \u001b[0mfid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mh5f\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflags\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfapl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfapl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    143\u001b[0m     \u001b[0;32melif\u001b[0m \u001b[0mmode\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'r+'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m         \u001b[0mfid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mh5f\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mh5f\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mACC_RDWR\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfapl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfapl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mh5py/_objects.pyx\u001b[0m in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mh5py/_objects.pyx\u001b[0m in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mh5py/h5f.pyx\u001b[0m in \u001b[0;36mh5py.h5f.open\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mIOError\u001b[0m: Unable to open file (unable to open file: name = 'data2.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)"
     ]
    }
   ],
   "source": [
    "%matplotlib inline \n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import sys\n",
    "import os\n",
    "import time\n",
    "import h5py\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "with h5py.File('data2.h5','r') as hf:\n",
    "    #print('List of arrays in this file: \\n', hf.keys())\n",
    "    print 'XINC:', np.array(hf.get('XINC')), '   YINC:', np.array(hf.get('YINC')), '   FRAMES:', np.array(hf.get('FRAMES'))\n",
    "    frames = np.array(hf.get('FRAMES'))\n",
    "    for n in range(1,frames+1):\n",
    "        data = hf.get(str(n))\n",
    "        np_data = np.array(data)\n",
    "        plt.plot(np_data)\n",
    "        #print np_data\n",
    "        maximum = 0\n",
    "        minimum = 255\n",
    "        suma = 0\n",
    "        for i in range(700):\n",
    "            if np_data[i] > maximum:\n",
    "                maximum = np_data[i]\n",
    "            if np_data[i] < minimum:\n",
    "                minimum = np_data[i]\n",
    "            suma = suma + np_data[i]\n",
    "        if n<10:\n",
    "            print n,',', minimum,',', maximum,',', suma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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    "version": 2
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   "file_extension": ".py",
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