Custom data visualization using Matplotlib .ipynb

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    "# Building a Custom Visualization\n",
    "\n",
    "### Problem Statement:\n",
    "\n",
    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Ferreira, N., Fisher, D., & Konig, A. C. (2014, April). [Sample-oriented task-driven visualizations: allowing users to make better, more confident decisions.](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/Ferreira_Fisher_Sample_Oriented_Tasks.pdf) \n",
    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 571-580). ACM. ([video](https://www.youtube.com/watch?v=BI7GAs-va-Q))\n",
    "\n",
    "In this [paper](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/Ferreira_Fisher_Sample_Oriented_Tasks.pdf) the authors describe the challenges users face when trying to make judgements about probabilistic data generated through samples. As an example, they look at a bar chart of four years of data. Each year has a y-axis value, which is derived from a sample of a larger dataset. For instance, the first value might be the number votes in a given district or riding for 1992, with the average being around 33,000. On top of this is plotted the 95% confidence interval for the mean.\n",
    "\n",
    "A challenge that users face is that, for a given y-axis value (e.g. 42,000), it is difficult to know which x-axis values are most likely to be representative, because the confidence levels overlap and their distributions are different (the lengths of the confidence interval bars are unequal). One of the solutions the authors propose for this problem is to allow users to indicate the y-axis value of interest (e.g. 42,000) and then draw a horizontal line and color bars based on this value. So bars might be colored red if they are definitely above this value (given the confidence interval), blue if they are definitely below this value, or white if they contain this value.\n"
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>3640</th>\n",
       "      <th>3641</th>\n",
       "      <th>3642</th>\n",
       "      <th>3643</th>\n",
       "      <th>3644</th>\n",
       "      <th>3645</th>\n",
       "      <th>3646</th>\n",
       "      <th>3647</th>\n",
       "      <th>3648</th>\n",
       "      <th>3649</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1992</th>\n",
       "      <td>-8941.531897</td>\n",
       "      <td>127788.667612</td>\n",
       "      <td>-71887.743011</td>\n",
       "      <td>-79146.060869</td>\n",
       "      <td>425156.114501</td>\n",
       "      <td>310681.166595</td>\n",
       "      <td>50581.575349</td>\n",
       "      <td>88349.230566</td>\n",
       "      <td>185804.513522</td>\n",
       "      <td>281286.947277</td>\n",
       "      <td>...</td>\n",
       "      <td>171938.760289</td>\n",
       "      <td>150650.759924</td>\n",
       "      <td>203663.976475</td>\n",
       "      <td>-377877.158072</td>\n",
       "      <td>-197214.093861</td>\n",
       "      <td>24185.008589</td>\n",
       "      <td>-56826.729535</td>\n",
       "      <td>-67319.766489</td>\n",
       "      <td>113377.299342</td>\n",
       "      <td>-4494.878538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993</th>\n",
       "      <td>-51896.094813</td>\n",
       "      <td>198350.518755</td>\n",
       "      <td>-123518.252821</td>\n",
       "      <td>-129916.759685</td>\n",
       "      <td>216119.147314</td>\n",
       "      <td>49845.883728</td>\n",
       "      <td>149135.648505</td>\n",
       "      <td>62807.672113</td>\n",
       "      <td>23365.577348</td>\n",
       "      <td>-109686.264981</td>\n",
       "      <td>...</td>\n",
       "      <td>-44566.520071</td>\n",
       "      <td>101032.122475</td>\n",
       "      <td>117648.199945</td>\n",
       "      <td>160475.622607</td>\n",
       "      <td>-13759.888342</td>\n",
       "      <td>-37333.493572</td>\n",
       "      <td>103019.841174</td>\n",
       "      <td>179746.127403</td>\n",
       "      <td>13455.493990</td>\n",
       "      <td>34442.898855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994</th>\n",
       "      <td>152336.932066</td>\n",
       "      <td>192947.128056</td>\n",
       "      <td>389950.263156</td>\n",
       "      <td>-93006.152024</td>\n",
       "      <td>100818.575896</td>\n",
       "      <td>5529.230706</td>\n",
       "      <td>-32989.370488</td>\n",
       "      <td>223942.967178</td>\n",
       "      <td>-66721.580898</td>\n",
       "      <td>47826.269111</td>\n",
       "      <td>...</td>\n",
       "      <td>165085.806360</td>\n",
       "      <td>74735.174090</td>\n",
       "      <td>107329.726875</td>\n",
       "      <td>199250.734156</td>\n",
       "      <td>-36792.202754</td>\n",
       "      <td>-71861.846997</td>\n",
       "      <td>26375.113219</td>\n",
       "      <td>-29328.078384</td>\n",
       "      <td>65858.761714</td>\n",
       "      <td>-91542.001049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>-69708.439062</td>\n",
       "      <td>-13289.977022</td>\n",
       "      <td>-30178.390991</td>\n",
       "      <td>55052.181256</td>\n",
       "      <td>152883.621657</td>\n",
       "      <td>12930.835194</td>\n",
       "      <td>63700.461932</td>\n",
       "      <td>64148.489835</td>\n",
       "      <td>-29316.268556</td>\n",
       "      <td>59645.677367</td>\n",
       "      <td>...</td>\n",
       "      <td>-13901.388118</td>\n",
       "      <td>50173.686673</td>\n",
       "      <td>53965.990717</td>\n",
       "      <td>4128.990173</td>\n",
       "      <td>72202.595138</td>\n",
       "      <td>39937.199964</td>\n",
       "      <td>139472.114293</td>\n",
       "      <td>59386.186379</td>\n",
       "      <td>73362.229590</td>\n",
       "      <td>28705.082908</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 3650 columns</p>\n",
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       "               0              1              2              3     \\\n",
       "1992   -8941.531897  127788.667612  -71887.743011  -79146.060869   \n",
       "1993  -51896.094813  198350.518755 -123518.252821 -129916.759685   \n",
       "1994  152336.932066  192947.128056  389950.263156  -93006.152024   \n",
       "1995  -69708.439062  -13289.977022  -30178.390991   55052.181256   \n",
       "\n",
       "               4              5              6              7     \\\n",
       "1992  425156.114501  310681.166595   50581.575349   88349.230566   \n",
       "1993  216119.147314   49845.883728  149135.648505   62807.672113   \n",
       "1994  100818.575896    5529.230706  -32989.370488  223942.967178   \n",
       "1995  152883.621657   12930.835194   63700.461932   64148.489835   \n",
       "\n",
       "               8              9         ...                3640  \\\n",
       "1992  185804.513522  281286.947277      ...       171938.760289   \n",
       "1993   23365.577348 -109686.264981      ...       -44566.520071   \n",
       "1994  -66721.580898   47826.269111      ...       165085.806360   \n",
       "1995  -29316.268556   59645.677367      ...       -13901.388118   \n",
       "\n",
       "               3641           3642           3643           3644  \\\n",
       "1992  150650.759924  203663.976475 -377877.158072 -197214.093861   \n",
       "1993  101032.122475  117648.199945  160475.622607  -13759.888342   \n",
       "1994   74735.174090  107329.726875  199250.734156  -36792.202754   \n",
       "1995   50173.686673   53965.990717    4128.990173   72202.595138   \n",
       "\n",
       "              3645           3646           3647           3648          3649  \n",
       "1992  24185.008589  -56826.729535  -67319.766489  113377.299342  -4494.878538  \n",
       "1993 -37333.493572  103019.841174  179746.127403   13455.493990  34442.898855  \n",
       "1994 -71861.846997   26375.113219  -29328.078384   65858.761714 -91542.001049  \n",
       "1995  39937.199964  139472.114293   59386.186379   73362.229590  28705.082908  \n",
       "\n",
       "[4 rows x 3650 columns]"
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   "source": [
    "# Following data are used:\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "np.random.seed(12345)\n",
    "\n",
    "df = pd.DataFrame([np.random.normal(32000,200000,3650), \n",
    "                   np.random.normal(43000,100000,3650), \n",
    "                   np.random.normal(43500,140000,3650), \n",
    "                   np.random.normal(48000,70000,3650)], \n",
    "                  index=[1992,1993,1994,1995])\n",
    "df"
   ]
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     "name": "stdout",
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     "text": [
      "              mean         i_min         i_max          yerr            std  \\\n",
      "1992  33312.107476  20034.653462  46589.561489  13277.454014  200603.415985   \n",
      "1993  41861.859541  35350.328798  48373.390284   6511.530743   98384.876053   \n",
      "1994  39493.304941  30204.060270  48782.549613   9289.244671  140350.695166   \n",
      "1995  47743.550969  43125.912861  52361.189078   4617.638108   69771.625748   \n",
      "\n",
      "              sem  \n",
      "1992  3319.363503  \n",
      "1993  1627.882686  \n",
      "1994  2322.311168  \n",
      "1995  1154.409527  \n"
     ]
    },
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       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"675.5555734516666\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "7"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['mean']=df.mean(axis=1)\n",
    "df['std']=df.std(axis=1)\n",
    "\n",
    "#this is approximate method for interval\n",
    "df['sem']=df.sem(axis=1)\n",
    "df['i_min']=df['mean']-df['sem']*4\n",
    "df['i_max']=df['mean']+df['sem']*4\n",
    "\n",
    "df['yerr']=df['sem']*4 \n",
    "print(df[['mean', 'i_min', 'i_max', 'yerr', 'std', 'sem']])\n",
    "\n",
    "\n",
    "\n",
    "%matplotlib notebook\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as ticker\n",
    "\n",
    "cl_max_color='red'\n",
    "cl_min_color='blue'\n",
    "cl_neitral_color='grey'\n",
    "\n",
    "class Cursor(object):\n",
    "    _df=None\n",
    "    _bl=None\n",
    "    def __init__(self, ax, data_F, bars):\n",
    "        self._df=data_F\n",
    "        self._bl=bars\n",
    "        self.ax = ax\n",
    "        self.lx = ax.axhline(color='b')\n",
    "\n",
    "    def mouse_move(self, event):\n",
    "        if not event.inaxes:\n",
    "            return\n",
    "        x, y = event.xdata, event.ydata\n",
    "        self.lx.set_ydata(y)\n",
    "        for index, row in self._df.iterrows():\n",
    "            if row['i_max']<y:\n",
    "                self._bl[self._df.index.get_loc(index)].set_color(cl_min_color)\n",
    "                continue\n",
    "            if row['i_min']>y:\n",
    "                self._bl[self._df.index.get_loc(index)].set_color(cl_max_color)\n",
    "                continue\n",
    "            \n",
    "            self._bl[self._df.index.get_loc(index)].set_color(cl_neitral_color)\n",
    "        plt.draw()\n",
    "\n",
    "        \n",
    "def plot_base(fix_x, fig_y, fig_title, c_alpha=0.5):\n",
    "    ax=df['mean'].plot.bar(yerr=df['yerr'], \n",
    "        title =fig_title, figsize=(fix_x, fig_y), \n",
    "        legend=False, fontsize=10, alpha=c_alpha, width=0.95, \n",
    "        rot=0, position=0, style='-', color=cl_neitral_color)\n",
    "\n",
    "    ax.spines['top'].set_visible(False)\n",
    "    ax.spines['right'].set_visible(False)\n",
    "\n",
    "    ax.spines['left'].set_position('zero')\n",
    "    ax.spines['bottom'].set_position('zero')\n",
    "\n",
    "    majors = [0.5,1.5,2.5, 3.5]\n",
    "    ax.xaxis.set_major_locator(ticker.FixedLocator(majors))\n",
    "\n",
    "    plt.tight_layout()\n",
    "    \n",
    "    return (ax, ax.get_children()[1:5])\n",
    "\n",
    "ax, barlist=plot_base(5, 5, \"Easiest option\")\n",
    "\n",
    "cursor = Cursor(ax, df, barlist)\n",
    "plt.connect('motion_notify_event', cursor.mouse_move)"
   ]
  }
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