workbook 1 - bias .ipynb

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    "# Task #1: find the Master Bias!\n",
    "\n",
    "What is the bias? The bias is a pedestal level added to the signal during the detector readout. \n",
    "\n",
    "Why do we need to subtract it? The bias contribution to the signal is present in all frames observed and simply sums to the true signal that we aim to measure.\n",
    "\n",
    "How? The bias must be subtracted from all other frames observed, including the science frames. The goal of this workbook is to estimate the bias contribution combining the bias frames, i.e. observations taken with a zero exposure time. As a result we will obtain a new frame called \"Master Bias\" that we will subtract from the other frames."
   ]
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   "cell_type": "code",
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   "source": [
    "# Importing all needed packages\n",
    "# Standard packages for data visualization\n",
    "import numpy as np\n",
    "import scipy as sp \n",
    "import matplotlib.pyplot as plt   \n",
    "%matplotlib notebook\n",
    "\n",
    "# Packages for reading astronomical data stored in fits files and accessing file paths\n",
    "from astropy.io import fits  # to read fits files with python\n",
    "import glob  # to find path names\n",
    "\n",
    "# Packages for importing ad-hoc modules and other\n",
    "import importlib\n",
    "import sys\n",
    "#importlib.reload(sys.modules['data_reduction']) #uncomment when you edit the module data_reduction.py\n",
    "from data_reduction import *\n",
    "import datetime"
   ]
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   "cell_type": "markdown",
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   "source": [
    "For start, let's save into a list the paths of all the fits files that appear in our data directory and let's display them below."
   ]
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       "['/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130146_b_f.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130145_b.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130213.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130148_b.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130147.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130217.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130144_b_f.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130155_b_f.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130149.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/master_flat_mean.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130145_b_f.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130147_b.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130211.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130132.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130218.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130215.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130208.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130155_b.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130212.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130155.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/master_bias_mean.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130144_b.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130145.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130210.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130146_b.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130146.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130148.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130149_b.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130216.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130132_b.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130209.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130214.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130144.fits',\n",
       " '/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130132_b_f.fits']"
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   "source": [
    "# Directory of the data \n",
    "path2data = '/home/masi1109/Documents/PhD/ObsII/not2mattia'\n",
    "# List of filenames \n",
    "fnames = glob.glob(path2data+'/*.fits', recursive=True) # the asterisk stands for any combination of letters  \n",
    "fnames"
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    "# Bias checks: exposure time, frame dimension and pixels statistics\n",
    "\n",
    "Astronomical data are saved in the so-called .fits format. This stands for Flexible Image Transport System (FITS) and has been the standard in astronomy since 1981. FITS-files generally contain two parts: an image, consisting in a frame where each pixel has a value assigne; and a header that contains all metadata such as the image type, who made the observation and when, the exposure time, the frame dimension, etc.\n",
    "\n",
    "In the cell below we access each bias file, read some basic information within the header and compute some pixel statistics. For each bias frame we print:\n",
    "\n",
    "-> path name\n",
    "\n",
    "-> exposure time\n",
    "\n",
    "-> fame dimension in pixel\n",
    " \n",
    "-> total number of pixels\n",
    "\n",
    "-> mean, median, standard deviation value of pixels values"
   ]
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     "text": [
      "/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130213.fits  exp = 0.002  frame = 2148 x 2102 nPixels = 4515096\n",
      "Image statistics: mean = 10339.58410548861  median = 10339.58410548861  std = 27.633485367954947\n",
      "\n",
      "/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130217.fits  exp = 0.002  frame = 2148 x 2102 nPixels = 4515096\n",
      "Image statistics: mean = 10344.950893865982  median = 10344.950893865982  std = 27.20120593711205\n",
      "\n",
      "/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130211.fits  exp = 0.002  frame = 2148 x 2102 nPixels = 4515096\n",
      "Image statistics: mean = 10339.899458721315  median = 10339.899458721315  std = 28.41703409599172\n",
      "\n",
      "/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130218.fits  exp = 0.002  frame = 2148 x 2102 nPixels = 4515096\n",
      "Image statistics: mean = 10344.230020774221  median = 10344.230020774221  std = 25.583373664146826\n",
      "\n",
      "/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130215.fits  exp = 0.002  frame = 2148 x 2102 nPixels = 4515096\n",
      "Image statistics: mean = 10342.684010701683  median = 10342.684010701683  std = 26.305705942276937\n",
      "\n",
      "/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130208.fits  exp = 0.002  frame = 2148 x 2102 nPixels = 4515096\n",
      "Image statistics: mean = 10333.963047287221  median = 10333.963047287221  std = 32.281987285321655\n",
      "\n",
      "/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130212.fits  exp = 0.002  frame = 2148 x 2102 nPixels = 4515096\n",
      "Image statistics: mean = 10338.61812807759  median = 10338.61812807759  std = 28.931587012952924\n",
      "\n",
      "/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130210.fits  exp = 0.002  frame = 2148 x 2102 nPixels = 4515096\n",
      "Image statistics: mean = 10338.850181977748  median = 10338.850181977748  std = 25.639195872129037\n",
      "\n",
      "/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130216.fits  exp = 0.002  frame = 2148 x 2102 nPixels = 4515096\n",
      "Image statistics: mean = 10342.059088695854  median = 10342.059088695854  std = 51.09387987012047\n",
      "\n",
      "/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130209.fits  exp = 0.002  frame = 2148 x 2102 nPixels = 4515096\n",
      "Image statistics: mean = 10336.125527790842  median = 10336.125527790842  std = 38.94901468830466\n",
      "\n",
      "/home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130214.fits  exp = 0.002  frame = 2148 x 2102 nPixels = 4515096\n",
      "Image statistics: mean = 10343.059612636735  median = 10343.059612636735  std = 71.70758088501323\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Doing the necessary checks on the bias frames and printing them out\n",
    "\n",
    "BIAS_EXP_MAX = 0.1  # exposure time of the bias frame is expected to be zero or very short\n",
    "\n",
    "# List of filenames of the bias frames\n",
    "bias_names = []\n",
    "bias_frames = []\n",
    "for file in fnames:\n",
    "    hdul = fits.open(file)  # reading the fits file (headers and pixel values)\n",
    "    \n",
    "    # An HDU (Header Data Unit) is the highest level component of the FITS file structure, \n",
    "    # consisting of a header and (typically) a data array or table.\n",
    "    \n",
    "    if hdul[0].header['IMAGETYP'] == 'BIAS':\n",
    "        bias_names.append(file)  # add to the list of bias names\n",
    "        exp_t = hdul[0].header['EXPTIME']  # exposure time \n",
    "        xdim = hdul[1].header['NAXIS1']  # lenght of x axis\n",
    "        ydim = hdul[1].header['NAXIS2']  # lenght of y axis\n",
    "        n_pixels = xdim * ydim  # number of pixels\n",
    "        \n",
    "        bias_frames.append(hdul[1].data)  #add to the list of bias frames \n",
    "        \n",
    "        # Computing statistics of the pixel values within a window exluding 10% on each side of both axis\n",
    "        stats = ImageStats(\"bias_frame_statistics\") # define the object where saving the statistics, name is optional\n",
    "        stats.compute_imstats(hdul[1].data, int(0.1*xdim), int(0.9*xdim), int(0.1*ydim), int(0.9*ydim))\n",
    "        bias_mean = stats.mean\n",
    "        bias_median = stats.median\n",
    "        bias_std = stats.std        \n",
    "        \n",
    "        print(file, \" exp =\", exp_t, \" frame =\", xdim, \"x\", ydim, \"nPixels =\", n_pixels)\n",
    "        print(\"Image statistics: mean =\", bias_mean, \" median =\", bias_median, \" std =\", bias_std)\n",
    "        \n",
    "        if exp_t > BIAS_EXP_MAX: print(\"WARNING: the exposure time of the frame above is longer than 0.1s. \"\n",
    "                              \"Frame might have been specified as BIAS by mistake.\")\n",
    "            \n",
    "        print(\"\")\n",
    "    hdul.close()\n",
    "\n",
    "bias_array = np.array(bias_frames)"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "How does a bias frame look like?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
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       "\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 / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f0c280d56d0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Plotting one bias frame as an example\n",
    "b = bias_array[0]\n",
    "plt.figure()\n",
    "plt.imshow(b, origin='lower', vmin=np.median(b)-2*np.std(b), vmax =np.median(b)+2*np.std(b))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Combining the bias frames into the Master Bias   \n",
    "\n",
    "How to combine the bias frames into a single Master Bias? \n",
    "\n",
    "We will use two methods:\n",
    "\n",
    "1) compute for each pixel the mean value along the stack of bias frames\n",
    "\n",
    "2) compute for each pixel the median value along the stack of bias frames\n",
    "\n",
    "We will then create a fits file for the Master Bias obtained with the \"mean\" method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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 / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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 / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" 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      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Computing the master bias using a function defined in data_reduction.py module\n",
    "# Two methods of combination are available: (1) mean or (2) median\n",
    "master_bias1 = get_master(bias_array, method=\"mean\", n_clip=2)\n",
    "master_bias2 = get_master(bias_array, method=\"median\", n_clip=2)\n",
    "\n",
    "b = master_bias1\n",
    "plt.figure()\n",
    "plt.imshow(b, origin='lower', vmin=np.median(b)-2*np.std(b), vmax =np.median(b)+2*np.std(b))\n",
    "\n",
    "c = master_bias2\n",
    "plt.figure()\n",
    "plt.imshow(c, origin='lower', vmin=np.median(c)-2*np.std(c), vmax =np.median(c)+2*np.std(c))\n",
    "\n",
    "# Creating a fits file for the master bias obtained with the \"mean\" method\n",
    "hdu = fits.ImageHDU(master_bias1)\n",
    "\n",
    "hdr = fits.Header()\n",
    "now = datetime.datetime.now()\n",
    "now_string = now.strftime(\"%Y-%m-%d %H:%M:%S\")\n",
    "hdr['COMMENT'] = \"Master Bias frame (mean of bias frames) obtained on \" + now_string\n",
    "hdr['IMAGETYP'] = 'MASTER BIAS'\n",
    "empty_primary = fits.PrimaryHDU(header=hdr)\n",
    "\n",
    "hdul = fits.HDUList([empty_primary, hdu])\n",
    "master_name = path2data + '/master_bias_mean.fits'\n",
    "hdul.writeto(master_name, overwrite=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Subtracting the Master Bias from all the other frames \n",
    "\n",
    "The Master Bias rapresents the best estimate of the bias contribution to the signal that we want to subtract (pixel-by-pixel) from all other frames that are not bias frames.\n",
    "\n",
    "Below we do that, leaving a comment in the header of each newly created fits file. The original files are kept unchanged. The new files are named with the suffix \"_b\". \n",
    "\n",
    "We print below the name of the new bias-subtracted files and their image type."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Master Bias subtracted from frame /home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130147.fits of image type:\n",
      " FLAT,LAMP\n",
      "New fits file created for the bias-subtracted frame: /home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130147_b.fits \n",
      "\n",
      "Master Bias subtracted from frame /home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130149.fits of image type:\n",
      " FLAT,LAMP\n",
      "New fits file created for the bias-subtracted frame: /home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130149_b.fits \n",
      "\n",
      "Master Bias subtracted from frame /home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130132.fits of image type:\n",
      " OBJECT\n",
      "New fits file created for the bias-subtracted frame: /home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130132_b.fits \n",
      "\n",
      "Master Bias subtracted from frame /home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130155.fits of image type:\n",
      " OBJECT\n",
      "New fits file created for the bias-subtracted frame: /home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130155_b.fits \n",
      "\n",
      "Master Bias subtracted from frame /home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130145.fits of image type:\n",
      " OBJECT\n",
      "New fits file created for the bias-subtracted frame: /home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130145_b.fits \n",
      "\n",
      "Master Bias subtracted from frame /home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130146.fits of image type:\n",
      " WAVE,LAMP\n",
      "New fits file created for the bias-subtracted frame: /home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130146_b.fits \n",
      "\n",
      "Master Bias subtracted from frame /home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130148.fits of image type:\n",
      " FLAT,LAMP\n",
      "New fits file created for the bias-subtracted frame: /home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130148_b.fits \n",
      "\n",
      "Master Bias subtracted from frame /home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130144.fits of image type:\n",
      " OBJECT\n",
      "New fits file created for the bias-subtracted frame: /home/masi1109/Documents/PhD/ObsII/not2mattia/ALAe130144_b.fits \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Subtracting the master bias (mean) from all other frames that are not bias frames\n",
    "\n",
    "hdul_master = fits.open(path2data+'/master_bias_mean.fits')\n",
    "\n",
    "for file in fnames:\n",
    "    hdul = fits.open(file)\n",
    "    \n",
    "    if 'BIAS_SUB' in hdul[0].header:  # if bias has been subtracted already we skip to the next frame\n",
    "        continue \n",
    "    \n",
    "    imtyp = hdul[0].header['IMAGETYP']\n",
    "    if imtyp == 'FLAT,LAMP' or imtyp == 'WAVE,LAMP' or imtyp == 'OBJECT':\n",
    "        \n",
    "        hdul[1].data = hdul[1].data - master_bias1\n",
    "        print(\"Master Bias subtracted from frame\", file, \"of image type:\\n\", hdul[0].header['IMAGETYP'])\n",
    "        \n",
    "        comment = \"Master Bias subtracted on \"\n",
    "        now = datetime.datetime.now()\n",
    "        comment += now.strftime(\"%Y-%m-%d %H:%M:%S\")\n",
    "        comment += \" using master bias file \" + master_name\n",
    "        hdul[0].header['HISTORY'] = comment\n",
    "        hdul[0].header['COMMENT'] = comment\n",
    "        hdul[0].header['BIAS_SUB'] = 'Yes'\n",
    "        \n",
    "        new_file_name = file.replace(\".fits\", \"_b.fits\")\n",
    "        hdul.writeto(new_file_name, overwrite=True)\n",
    "        print(\"New fits file created for the bias-subtracted frame:\", new_file_name, \"\\n\")\n",
    "    \n",
    "    hdul.close()\n",
    "    \n",
    "hdul_master.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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