3 - Multiple plots - Glob.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction\n",
    "This tutorial go through the \"glob\" file-finding tool, the for loop, and finally show some examples using them to generate plots of 1-D curves."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import common tools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np, os, glob\n",
    "# plotting\n",
    "%matplotlib notebook\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams[\"figure.figsize\"] = (9,6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Python Glob: find files\n",
    "\n",
    "glob is a powerful tool for finding files in the file system.\n",
    "It is useful when you need to look for a list of files with names matching a pattern. \n",
    "For example, a list of filenames that all have a certain extension, prefix, or some common strings in the middle.\n",
    "\n",
    "**Advanced:** The pattern rules for glob are not regular expressions. Instead, they follow standard Unix path expansion rules.\n",
    "\n",
    "See https://docs.python.org/2/library/glob.html\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data/Glob\r\n",
      "Data/Glob/b2.dat\r\n",
      "Data/Glob/f7.txt\r\n",
      "Data/Glob/f9.txt\r\n",
      "Data/Glob/f8.txt\r\n",
      "Data/Glob/f1.txt\r\n",
      "Data/Glob/f6.txt\r\n",
      "Data/Glob/a1.dat\r\n",
      "Data/Glob/b4.dat\r\n",
      "Data/Glob/b3.dat\r\n",
      "Data/Glob/f5.txt\r\n",
      "Data/Glob/a2.dat\r\n",
      "Data/Glob/f2.txt\r\n",
      "Data/Glob/subdir1\r\n",
      "Data/Glob/subdir1/x1.doc\r\n",
      "Data/Glob/subdir1/x2.doc\r\n",
      "Data/Glob/subdir1/x3.pdf\r\n",
      "Data/Glob/b1.dat\r\n",
      "Data/Glob/f3.txt\r\n",
      "Data/Glob/f4.txt\r\n",
      "Data/Glob/a3.dat\r\n",
      "Data/Glob/subdir2\r\n",
      "Data/Glob/subdir2/script.sh\r\n",
      "Data/Glob/subdir2/program.py\r\n",
      "Data/Glob/subdir2/cool.app\r\n"
     ]
    }
   ],
   "source": [
    "!find Data/Glob"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Match extension"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Data/Glob/b2.dat',\n",
       " 'Data/Glob/a1.dat',\n",
       " 'Data/Glob/b4.dat',\n",
       " 'Data/Glob/b3.dat',\n",
       " 'Data/Glob/a2.dat',\n",
       " 'Data/Glob/b1.dat',\n",
       " 'Data/Glob/a3.dat']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "glob.glob('Data/Glob/*.dat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Data/Glob/f7.txt',\n",
       " 'Data/Glob/f9.txt',\n",
       " 'Data/Glob/f8.txt',\n",
       " 'Data/Glob/f1.txt',\n",
       " 'Data/Glob/f6.txt',\n",
       " 'Data/Glob/f5.txt',\n",
       " 'Data/Glob/f2.txt',\n",
       " 'Data/Glob/f3.txt',\n",
       " 'Data/Glob/f4.txt']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file_list = glob.glob('Data/Glob/*.txt')\n",
    "file_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Data/Glob/f1.txt',\n",
       " 'Data/Glob/f2.txt',\n",
       " 'Data/Glob/f3.txt',\n",
       " 'Data/Glob/f4.txt',\n",
       " 'Data/Glob/f5.txt',\n",
       " 'Data/Glob/f6.txt',\n",
       " 'Data/Glob/f7.txt',\n",
       " 'Data/Glob/f8.txt',\n",
       " 'Data/Glob/f9.txt']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sorting\n",
    "file_list = sorted(file_list)\n",
    "file_list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Match prefix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Data/Glob/a1.dat', 'Data/Glob/a2.dat', 'Data/Glob/a3.dat']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "glob.glob('Data/Glob/a*')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# For Loop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data/Glob/f7.txt\n",
      "Data/Glob/f9.txt\n",
      "Data/Glob/f8.txt\n",
      "Data/Glob/f1.txt\n",
      "Data/Glob/f6.txt\n",
      "Data/Glob/f5.txt\n",
      "Data/Glob/f2.txt\n",
      "Data/Glob/f3.txt\n",
      "Data/Glob/f4.txt\n"
     ]
    }
   ],
   "source": [
    "file_list = glob.glob('Data/Glob/*.txt')\n",
    "for file in file_list:\n",
    "    print(file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 Data/Glob/f7.txt\n",
      "1 Data/Glob/f9.txt\n",
      "2 Data/Glob/f8.txt\n",
      "3 Data/Glob/f1.txt\n",
      "4 Data/Glob/f6.txt\n",
      "5 Data/Glob/f5.txt\n",
      "6 Data/Glob/f2.txt\n",
      "7 Data/Glob/f3.txt\n",
      "8 Data/Glob/f4.txt\n"
     ]
    }
   ],
   "source": [
    "for i, file in enumerate(file_list):\n",
    "    print(i, file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 Data/Glob/f7.txt\n",
      "1 Data/Glob/f9.txt\n",
      "2 Data/Glob/f8.txt\n",
      "3 Data/Glob/f1.txt\n",
      "4 Data/Glob/f6.txt\n",
      "5 Data/Glob/f5.txt\n",
      "6 Data/Glob/f2.txt\n",
      "7 Data/Glob/f3.txt\n",
      "8 Data/Glob/f4.txt\n"
     ]
    }
   ],
   "source": [
    "N = len(file_list)\n",
    "for i in range(N):\n",
    "    print(i, file_list[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## while loop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 Data/Glob/f7.txt\n",
      "1 Data/Glob/f9.txt\n",
      "2 Data/Glob/f8.txt\n",
      "3 Data/Glob/f1.txt\n",
      "4 Data/Glob/f6.txt\n",
      "5 Data/Glob/f5.txt\n",
      "6 Data/Glob/f2.txt\n",
      "7 Data/Glob/f3.txt\n",
      "8 Data/Glob/f4.txt\n"
     ]
    }
   ],
   "source": [
    "N = len(file_list)\n",
    "i = 0\n",
    "while i<N:\n",
    "    print(i, file_list[i])\n",
    "    i+=1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "find files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_list = sorted(glob.glob('Data/Glob/f*.txt'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dataset = {}\n",
    "for fn in file_list:\n",
    "    dataset[fn] = np.genfromtxt(fn, delimiter=\",\", skip_header=2, names='X,Y,E,DX')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
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       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
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       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
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       "                        'ui-button-icon-only');\n",
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       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the 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": {
      "text/html": [
       "<img 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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "for fn in file_list:\n",
    "    name = os.path.splitext(os.path.basename(fn))[0]\n",
    "    data = dataset[fn]\n",
    "    ax.semilogy(data['X'], data['Y'], label=name)\n",
    "ax.legend()\n",
    "ax.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the 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=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "markers = ('s', '+', 'p', 'o', '*', '^', 'v', '<', '>', '1') \n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "for fn, marker in zip(file_list, markers):\n",
    "    name = os.path.splitext(os.path.basename(fn))[0]\n",
    "    data = dataset[fn]\n",
    "    ax.semilogy(data['X'], data['Y'], marker, markerfacecolor='white', label=name)\n",
    "ax.legend()\n",
    "ax.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the 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=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "N = len(dataset)\n",
    "ncols = 4\n",
    "nrows = (N-1)//ncols+1\n",
    "fig, axes = plt.subplots(nrows, ncols)\n",
    "for irow in range(nrows):\n",
    "    for icol in range(ncols):\n",
    "        index = icol + irow * ncols\n",
    "        if index >=N:break\n",
    "        fn = file_list[index]\n",
    "        name = os.path.splitext(os.path.basename(fn))[0]\n",
    "        data = dataset[fn]\n",
    "        ax1 = axes[irow][icol]\n",
    "        ax1.semilogy(data['X'], data['Y'], label=name)\n",
    "        ax1.legend()\n",
    "        ax1.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the 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"
    },
    {
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "N = len(dataset)\n",
    "ncols = 4\n",
    "nrows = (N-1)//ncols+1\n",
    "for index, fn in enumerate(file_list):\n",
    "    name = os.path.splitext(os.path.basename(fn))[0]\n",
    "    data = dataset[fn]\n",
    "    ax1 = fig.add_subplot(nrows, ncols, index+1)\n",
    "    ax1.semilogy(data['X'], data['Y'], label=name)\n",
    "    ax1.legend()\n",
    "    ax1.grid()\n",
    "    continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Path"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Current path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/SNS/users/lj7/dv/sje/IPythonNotebookTutorial'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Path manipulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "p = '/a/b/c/d/e'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "f = os.path.join(p, 'f.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('/a/b/c/d/e', 'f.txt')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.path.split(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('/a/b/c/d/e/f', '.txt')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.path.splitext(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "* File path\n",
      "Absolute Path: /SNS/users/lj7/dv/sje/IPythonNotebookTutorial/Data/Glob/f7.txt\n",
      "Base Name:     f7.txt\n",
      "Parent dir:    Data/Glob\n"
     ]
    }
   ],
   "source": [
    "file_list = glob.glob('Data/Glob/*.txt')\n",
    "file = file_list[0]\n",
    "\n",
    "print(\"* File path\")\n",
    "print(\"Absolute Path: {}\".format(os.path.abspath(file)))\n",
    "print(\"Base Name:     {}\".format(os.path.basename(file)))\n",
    "print(\"Parent dir:    {}\".format(os.path.dirname(file)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## \"~\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/lj7/a/b/c'"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.path.expanduser('~/a/b/c')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "py3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}