Anomaly Finder API Example Private Preview (Batch Method).ipynb

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   "source": [
    "# Project Anomaly Finder API Example"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### This Jupyter notebook shows you how to get started with the Project Anomaly Finder API in Python, and how to visualize your results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from __future__ import print_function\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "# Import library to display results\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline "
   ]
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.plotting import figure,output_notebook, show\n",
    "from bokeh.palettes import Blues4\n",
    "from bokeh.models import ColumnDataSource,Slider\n",
    "import datetime\n",
    "from bokeh.io import push_notebook\n",
    "from dateutil import parser\n",
    "from ipywidgets import interact, widgets, fixed\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def detect(endpoint, subscription_key, request_data):\n",
    "    headers = {'Content-Type': 'application/json', 'Ocp-Apim-Subscription-Key': subscription_key}\n",
    "    response = requests.post(endpoint, data=json.dumps(request_data), headers=headers)\n",
    "    if response.status_code == 200:\n",
    "        return json.loads(response.content.decode(\"utf-8\"))\n",
    "    else:\n",
    "        print(response.status_code)\n",
    "        raise Exception(response.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def build_figure(sample_data, senstivity):\n",
    "    sample_data['Sensitivity'] = senstivity\n",
    "    result = detect(endpoint, subscription_key, sample_data)\n",
    "    columns = {'ExpectedValues': result['ExpectedValues'], 'IsAnomaly': result['IsAnomaly'], 'IsNegativeAnomaly': result['IsNegativeAnomaly'],\n",
    "          'IsPositiveAnomaly': result['IsPositiveAnomaly'], 'UpperMargins': result['UpperMargins'], 'LowerMargins': result['LowerMargins'],\n",
    "          'Timestamp': [parser.parse(x['Timestamp']) for x in sample_data['Series']], \n",
    "          'Value': [x['Value'] for x in sample_data['Series']]}\n",
    "    response = pd.DataFrame(data=columns)\n",
    "    values = response['Value']\n",
    "    label = response['Timestamp']\n",
    "    anomalies = []\n",
    "    anomaly_labels = []\n",
    "    index = 0\n",
    "    anomaly_indexes = []\n",
    "    p = figure(x_axis_type='datetime', title=\"Anomaly Finder Result ({0} Sensitvity)\".format(senstivity), width=800, height=600)\n",
    "    for anom in response['IsAnomaly']:\n",
    "        if anom == True and (values[index] > response.iloc[index]['ExpectedValues'] + response.iloc[index]['UpperMargins'] or \n",
    "                         values[index] < response.iloc[index]['ExpectedValues'] - response.iloc[index]['LowerMargins']):\n",
    "            anomalies.append(values[index])\n",
    "            anomaly_labels.append(label[index])\n",
    "            anomaly_indexes.append(index)\n",
    "        index = index+1\n",
    "    upperband = response['ExpectedValues'] + response['UpperMargins']\n",
    "    lowerband = response['ExpectedValues'] -response['LowerMargins']\n",
    "    band_x = np.append(label, label[::-1])\n",
    "    band_y = np.append(lowerband, upperband[::-1])\n",
    "    boundary = p.patch(band_x, band_y, color=Blues4[2], fill_alpha=0.5, line_width=1, legend='Boundary')\n",
    "    p.line(label, values, legend='Value', color=\"#2222aa\", line_width=1)\n",
    "    p.line(label, response['ExpectedValues'], legend='ExpectedValue',  line_width=1, line_dash=\"dotdash\", line_color='olivedrab')\n",
    "    anom_source = ColumnDataSource(dict(x=anomaly_labels, y=anomalies))\n",
    "    anoms = p.circle('x', 'y', size=5, color='tomato', source=anom_source)\n",
    "    p.legend.border_line_width = 1\n",
    "    p.legend.background_fill_alpha  = 0.1\n",
    "    show(p, notebook_handle=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Find anomalies of sample timeseries in batch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Anomaly Finder API returns default result on whether a data point is anomaly or not, and the upper and lower bound can be calculated from ExpectedValue and UpperMargin/LowerMargin. Those default values should work fine for most cases. However, some scenarios require different bounds than the default ones. The recommend practice is applying a MarginScale on the UpperMargin or LowerMargin to adjust the dynamic bounds. UpperBoundary equals to ExpectedValue + (100 - MarginScale)\\*UpperMargin, lowerBoundary equals to ExpectedValue - (100-MarginScale)\\*LowerMargin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "endpoint = 'https://westus2.api.cognitive.microsoft.com/anomalyfinder/v2.0/timeseries/entire/detect'\n",
    "subscription_key = '' #Here you have to paste your primary key"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
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\",\"dtype\":\"float64\",\"shape\":[841]}},\"selected\":{\"id\":\"818e30ba-eaa4-4e60-a513-c844d0b933fe\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"b6269d75-6dcd-440b-bd3f-5fc8868a739b\",\"type\":\"UnionRenderers\"}},\"id\":\"9b21eb3a-f11f-4802-887f-c7380957fada\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[841]},\"y\":{\"__ndarray__\":\"WbZXqoAnvEBsDLVwXCvAQK1nv8z+dr1ALBTatYqUuUDV1vnVrCe+QNY0NY+Bv71AtHQ6HoIgvkBBCxsH1YG+QEfgyz4H7b5A2X76hpR3u0BEuSh4x3u+QHf1gQUmhb9A6p/iiIRav0A5tZzTMArAQBK6lv3sOMBAbLRfGpQFvEBqRmlzcJq/QAE4jhnxgLxASTMvNLEawEDazlnfbnzAQLgQrqHLIr1AbnyeNBK3wEDfEX/0Vr3AQJ8AYW6H8sBAxiPVOW/jwkDcW131LSvBQIMA1cYicMNAjXeek1tOwUBs7xTR2uXBQGTF5unwuMFAS4yd7ZzwwUCJ/kEecijCQASQTvY2ZcJAgbYbHlhrwkAso2FQXjLCQJqUwDXxucJAXI5u+h6RxEBkgRUsvCTGQFDNN7/SO8NALgPBsNs8w0B93ETrwdjCQFtYvo1WmMNAgVME1X0zw0CLYtH33JvDQKsogOuZ9cNAQvkAuEjJwUDd9GXAvOfDQIhRLlgYH8RA9eG2DOnww0CtNYSg1lXEQKFO8T9NosRADYeP2/1ewkA2GpVmSQTFQBDfANrf1sRASKxbgsF6x0D+N1GBtMLCQFl2NvamgcVAbbEU4Nvqx0AO+++n8E/FQEQlIrkU2MVAmAZYxTjGxUAQiqK1cR/GQBytu0B4SsZAHyZRn+2Gw0Cm0hc/WNfFQKGTlfVTg8ZAomv+qMdryEANKLGHqF/GQEozZI/MpcZAln4Am6R2xkBnBEWNOWbGQIbjijm6hMZAaPaQArA9xkBuXmsJaYfGQLCL5RuruMZAt9is1AZsxkDif6MoPuTGQDOYr608tslA5XnLdtpuxECwvzhSzc7GQBAMaB467sZAYE5grI/ZxkDcVtFEyoXGQB1kW5CR8sZAfSjp1ljFxkAiFkSSdgTHQCKrWDSL5slAls4uDkj0xkBAnep8C27GQPDhTGrqBcdA6aV7/Ft5xkCaqM2WoKzJQM1/PBUlaslAcquXs3qyxkCxhA6lpZfGQD+3hlC8q8ZAkR2/GEhaxkDamS0+gF3EQK7dHARayMZAHsDoJUF1xkC0/OPiA+fGQKgx1z/tlMZAi1evh2ynxkDFKHX8FLrGQDwZoxit0cZASPOcfJi4xkBYoeDyjs3IQH44mwzGyMZAmpQqKSOXxkApIBgQ09rGQExL1JFQ8MZAtlTKzPOGyUAEgXZ9HlLGQAlCSGXa7MZAV4Lm8ShjxkCJ1gtar6bGQNDhEpOT28ZAFmrJ7b2axkDfLCgvpXjGQPdIiCp4hcZA05ioQsAsxkBSTJ5ZD7TIQESxHN0DhsZA3r9z1oMoxkCeKPpq34/GQK8xzf0MNcZAsCuFe9A+xkAI0SomvUjGQJyVOHiZV8ZAu/Fbrh0zxkC6xnUzTDLDQBc7reJ8LMZARhlm0XLvxUDQJdq9yCTGQO7RHEXsK8ZADBz3mwoBxkCbCcw7BnHFQIfH34IhV8hALZqmILF1xUD9NQHBB7PFQOOIPTK84cVAVqnovZOmxUBOBDwwKIrFQJW4kFyonMVAnqClpZ1JxUC8RNQXdYzFQBWuopXVtsVAMje+uU9jxUB1Ggl5pdTFQCX55MTahcVAxcil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\",\"dtype\":\"float64\",\"shape\":[1682]},\"y\":{\"__ndarray__\":\"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,\"type\":\"MonthsTicker\"}],\"root_ids\":[\"d583f76c-5d2d-463b-a27a-6abed6140400\"]},\"title\":\"Bokeh Application\",\"version\":\"0.13.0\"}};\n",
       "  var render_items = [{\"docid\":\"01a967ad-b85c-46bc-b2c0-a74b7a36d86d\",\"notebook_comms_target\":\"41abeded-5fcb-48e8-9ec8-a053784480f4\",\"roots\":{\"d583f76c-5d2d-463b-a27a-6abed6140400\":\"a9d2d46a-7e94-44a3-9b4f-835998a693c5\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "d583f76c-5d2d-463b-a27a-6abed6140400"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Hourly Sample\n",
    "sample_data = json.load(open('sample_hourly.json'))\n",
    "sample_data['Granularity'] = 'hourly'\n",
    "sample_data['Period'] = 24\n",
    "# 95 Sensitivity\n",
    "build_figure(sample_data,95)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"1bdc9cd4-3599-4faf-8943-4199ffe2a325\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
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\",\"dtype\":\"float64\",\"shape\":[841]}},\"selected\":{\"id\":\"f0f7f2df-8ee4-4bd9-ba6a-d55ad43faeb9\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"9e8dc52c-34f3-4af6-8449-58ef177f65fb\",\"type\":\"UnionRenderers\"}},\"id\":\"b87f7a6a-bbc9-44a5-a30c-8bb6d4033d09\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"label\":{\"value\":\"Boundary\"},\"renderers\":[{\"id\":\"4f0b4ca3-c66f-4581-82c2-ed09e4661a68\",\"type\":\"GlyphRenderer\"}]},\"id\":\"edf5e556-1ad3-4415-bf8b-7514aabc8d09\",\"type\":\"LegendItem\"},{\"attributes\":{\"callback\":null,\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[841]},\"y\":{\"__ndarray__\":\"u0jNERl6vECEzpVQf8y+QMdkmKsQtb1AwwfzsTPtukAf2sp5v4m9QAr+0VSlg75A9SLU+Y6+vUBjsVnvAlG/QHnDbG92Db5ADXhz0anpvECK9JkyNfG/QOZF7CtjdL9AgbkOvCMSwEBLVIdu4ZXAQCNNxIskDcBAcrB/oiJ/vUBIyn7jqD/AQJX3Dsr9AL5ArdLi9wUAwECOD7sWrUvBQFaY+hVdq75AhD72yWrmwEDoomH1rnnAQNkxTEof2sBA1VIg+iz9wUA7Kf867rfBQKFJpk8tg8JAY599Fqi/wECqCuF+yxfBQHPz/ngGUsFAhAG26avywUDLtJnlCGfBQGMgTWmvrsFAmFVQQMKywUCdRHhDTBLDQIdYjuIBKsNA3hldpWaWw0Ai9bKXyxbFQNWJw1JL/8JAZxLgsNTOw0ACbvAeMfbFQIZ6d/Uu+cNA4x/xRCWcw0CGmvES4QfDQJWjPObHfcNAHY3zOu64wkB1cak3/+/CQGV5JvZh+cNAB9um3XupxEA6/TXl/o/EQBSTXmyiV8RAlLZTe4RWw0B30vJnW2TFQKmoyOm5WMVAvk5XiIdcxkD+HxKjer/DQLKOMpzLFMVA+qhQT0vHxkD6t9LBH5nFQKrKMvQdsMZAg6lRZNglxkAw7YwwjuXFQLZdS31JmMZA+Hg6mgeOxECS3qeSW8jFQM6RxfjBmsZA/ARgfBNCx0A431cHReLGQIV/u2rIgcZA8F9lnGRRx0AuDc/1gYDGQPLx/G5gsMVAeluxq3KYxkDHo/I8aovGQJuWc2BmBMdAsOZXxgx7xkBMkEEJwVbHQD0jIRPMfMhAakqgVCmCxUCugbAhnmnHQMRX1+PzbMZA5H+1vU6IxkBS0nnMIqLFQGzuhFBf4cZACV6gKMdex0A5KvceHgPGQCDs8rfNqshAFQ8wGvCRxkCoMzBguWTFQB5GlqJvGcdAbMKRttUJyUDQb+ghpXPIQEmeORRUNMhAvpg1qlfSx0DYRJ64+o/HQCGBF4JJ2sZAW435tNgBxkDzoexO5W/FQIZuNrodPsZAHnoAA0TBxUDwwWntV1zGQFxZPwmor8dAqAxBKd5mxkCnRifs8N3FQISd1hQjScZAD/+qcMqsxUCFUO7OMp/HQE2g6w9JycVAk4C3ESzRxkBE/jIDGlrHQOw9amoMzsdAoY13nsNPyEB9hwf+sWnFQJEVinhLesdAS/8fOmFHxkCM6cdXkYjGQLhPk6SVxMdA7fWCGA4exkCAviKYPxXHQOG/ur9kb8ZAxabTCuUUxkB/PDUM6obHQAij0BDpM8ZADDPmjigrxkCAXHyYNNbGQHLNzhbp9sZA81MPRih7xUBo+c0CMA/HQFwSOqTJnsVAPMnba7RhxUDRjVPl8TTEQJPD2gkK4cVA2RjpPW0zxkCN8SFk6VvFQIDYI0vw2MZAKUPVB59SxkBfbsYd/+DFQBOB7Q5pLsdA1um68xCOxEANO6TBRezFQHZGYZylVMZA/IGdpADcxEAXlwFj+2jFQIO2DWWkisVADC8MKnI2xUBwLyOz9ZfFQMI2Hl/MZcVAm7ZSEn7ZxEArgpwMvxTGQHCBIvvsBMVAFLPPnPf3xECnk5BystPFQAhpHb9WxcZAAJuRuC8PxEBBLC8CiJfFQA/PVeWrv8VA/WXQeLR2xUBtkgsktHPHQMd66bSjcMZAlGMpsFQMxUDfDZITyP3EQL0nzy+5NsZAoJbTYIdOxkDZbT6PoRrGQPp+0v+9F8VATda/o2QExkCS6DbA/ZDFQEVkBz4mHMdAp4Qh/3AHxUAMP9WUxcPFQDRmVdbZ+sRA/jNTNloPxUCV15b2zeHFQD/t4oijv8VAXaIqKaSYxUCiL/QZYULHQG+39xz2LMZA8SyJQFU0x0Ce8veRd3jFQCdZSO34HcZAI0h7XX1IxUDU6cXTXpbHQOneNXLtxMVA6pG7TTbGx0ALdamxiO3FQG0REXGpt8ZAKIGG5CqhxEB15RO41cfGQKk+5GmlFMdAO7HH/+qpxUDMMDlHoArHQJL0alEWGcdAH4R9jZsIxkCeG3oSDknIQOJg+Mq4vcZAmzjVNI+hx0CERK1csVvIQFGojB/RnsdAljfUh4S7yECcrbjntV7IQNE26kBIjslAbGgEjHv+x0D2YwSthLrHQLRyTvRuC8lAZGgu9BG9yECiQbJz6snIQNdd3GsAislAEQP/KUGpyUCk6HPgrG3JQNHGH9pPC8pAJ3KxwKlFykBLV2tiF3jKQEX3ZjtUtcpAUItypgEay0A++C3TOB7KQCybT7t4BMpAxEW0NdiJyUC5FE0jg3PKQHM+o1KZDMpAGFmzsCg8y0BrYBKjFOXKQM+dTUBhwMpASWbF9ViPykCgVHc8doLLQCybMPdtIctAoz+K832/ykAi666lwcPKQEn5BMqj3cxATEsLAyyby0AKjlbLBazLQEkxb3byK8xA+bKcO2wUzEBzM/CEuE/MQBdYVsqyisxAKDjaaLxwzECOKHMHLy7MQBBO/oVIuM1AvcILjTMyzUAKE1ClHUXMQAchxUVUJs5ABz71VXlFzEDAiXUG8W7NQD6onPJOos1AnBKPUtQ7zUDO86+eGU3OQGITW3FyAM1AcbHYfSd5z0DqQrSm1qvOQLUMNCAA0M9ABx09rbIUz0CFx4+U1FjNQHwzzsQcRM9A1bpYCpUyz0BiJ/b4A7zPQKXarPy12s9A3ZkJpklzz0Axqu7MhanPQMFiMMZDyc5AXwJw4qVG0EANsKYBQf/NQBtZhY9i+M1AJd8yaDd+zkDp9TtVSyPQQJPbkG1SwM5AEAHjd95ez0Bk16K3KcnPQBpE+2J5Y89A7ODQOqYtzkC6YVQ0D2LQQN4v8U851M9AQw5xK2kr0EBAzqIZivXPQCoymdaRkc9AA9qAJXkL0ECee1Qi5FXQQNGz70dQ385AEG7ps7Ypz0BEzCV8KY3QQPIygJyzYs9A46gnTs8O0EDen/sotf3OQE7DVwdnU9BAk+DpWxZK0EDvavKCW+bPQIa6c/iCqdBAH+v3Vkazz0DHDtKmzNzPQPt5Y3GYeNBASAovCGM20EBCPY7iwVvQQFTn+PgDl9BAjfo+aeMZ0EB98IoqtD/QQACtlYJ7ds9AIG9tZcEm0ECFq0/3TavPQKdG1U/QcNBABppWAVLQz0CyBRmNmdfPQBAvvCwvyM9ANhg6XPgnzkBGmvHfhu/OQI9gvBVem9BA3S1TP2IY0EBleX+F8qDPQCxIv/bfbs9A2seUtJhjz0ANLaBDatHPQKRQpBASQOVApFCkEBJA5UB0lE6nLzzPQCwnTNmSUc5AM5rq30PszkAaF1cjHZ3PQBHbKkDUCc5ATu40BzTtz0DFaGw7AQHQQA90VsKoCM9AweP75LA1z0AcqjB1FAHQQA3lyGp7dc5An+kDczkkzkCKTBDb5O7NQPMTGqZrCM5A/v2K3pszzkBjdwPBZgPPQM0tRfqM8s1AzRcX6e9vzkAhaIeCfr3OQO77NGkZlM1AO13JVlqrz0AJTgZyz43PQBomftzmFs1AKekU1WkZzkCpAL+2yinOQJIPd94skc5A1PoEdEN/zUBhou89uxrOQKASDfJx/85AyOCUWQAmz0BfTyZ8rYrOQM9IglxJns5AvXBLcqTXzUB9dlDq2f/NQCvJLzyZQc9Aksbf9FNmzkDP9OfivtHNQHFFZg1ApM9APtcwqPzpzUDz+1FIMkXPQB9ebEZK285AciFaxaa3zkCOKeNV4TLOQCTFl7c6Kc9AG7gfimM1zUC7oRyxNMDNQLkqTKAUXs5ATUtcqqW3zkBgHi3M8LbOQAagYAW8c85AOTnfyj5+zkB81UXHlyPPQEl9QufQTc5ADg82fHcpzUA2r5zUJfDOQOlXMsDlq89AQwUqy6zTz0DpuJPxquXOQPjOhqGxJc9AimXl1cg50EBDdskUpdbOQHn7giVpUc9ArmvoKabhz0DqwlnbaRTPQEYa+6PbTs9AjS/EzDQa0EC3R6BWHEnPQCYsYmrZJtBAAQH7IOYaz0B+mMI83o/OQPckl9NoXdBAswhY2kof0EDk3Q2ZoQ7QQEfUsZLXE9BAEWX7stC50EDjz2Qd+O/PQMSO/NG909BA294kBVQa0EBV7XfB4YPQQPQxD0Cei9BAfYLGB1Lq0EAwr4eWlg7QQOKTo38Lt9BA1muxBR7T0EA3K4GhWSnRQNeBosOOctFAzSJg+VWw0EAigQutdkTRQNA2ZFecYdFAnUhI1oa80UAf5qTWOE7RQO1aRstu29FAGEXJ65GC0UDF7oQMyG3RQNOQPc5C0NFArlmoYePK0UCpBzAcp+bRQK4BWpp3NtJAHYJzfrTG0UA2vUN2Nd3RQCB4Sggx8tFA8PY86bKD0kCQzOjMOe3SQP+RcEjdm9JAj9i2Xay00kAP5jiwNg/TQPASBjjKNdJApHm0c87s0UANx7r63iHSQALVz9yJu9JA9uL6JRS10kCWMIdvA7PRQAz89eJ8StNAjapDW9TN0kAuDG83L+7SQH698GptLNNAxU3rOf2P0kCtHwu3x9vSQHTwU+tnmdNAoa6pdGoG1EB8x6qRNJTTQF7FrSypp9NAje8jGH/A0kCEJzjBF+PTQEFW2xCz99NA4hptlsZw00A8sVH9HbTTQHX73Ul3CtRAiNFEd/OR1EBFH1rp2VbTQAMoTKTvONRAVzCSgxJn1EBBjsoaqUPUQOW8Cwz5D9RATZoyA47t00BtmJYxKhfUQOHd9CQ2Z9RAX3QYPDKt00DTIJlufafTQGVGMwcX49NAylUPdKij00AmL4qEsJLTQGD+Ix+Ny9RAOla1bfHr00BxaHLCCRzUQMbUY6Dx4tNAO+36686N1EDyNeeTppTUQHofnz3G29RABJhuFeI61EA8f1apyenUQOCaLVTlftRA5lQkKkjy00BQiCG2CevUQPkopNf/EdVAEDQpmP3M1EAhcFkbWlPUQAXWNhxJ+dNAZQrXBBKF1EBM7U/tSPvTQObRp6LfzNNA5LpgGoHJ1EAs1ATE0GTUQH5eFORYWtRAqDWkNRJB1ECNzxY3XwTVQHkLxhY14NNApECiXt1Q1EBdGCviObTUQJGVoC1WltRA5+gjnwU51ECdyxx4wW3UQDVw2D6oXdRAHlGcoXUW1UB9K6E5iXTUQChavy7rJNRAE217faDZ1EAskb6DB9/TQAMp3sVAkNRAdfX2fULR1EB53bUMZtzTQNj82c4BbdRAl+Bhre+m1EDQGHWbnbLUQGmT/RI91tRAOt/f+oL41EC/PvUS+UbUQHRHxHKT2NNAieqoOCvc00AyXelMN2jUQJucS6FLf9NAfGs+T41J1EDTjpqECJ7TQCGo/AZ5r9NARjdaWOwo1ECP4nNa/MXTQG4iPTCIqNNAQL/Q+5Sz00ASpOmDuH7UQLYsekfoYdNAmDzokRTx00BayiJiPLLTQPKpAETuBNVAf8Zs7UzH00CK84+tw4jUQLI4l9dZJNRA5/Jbnkcs00BnG8bAt/jTQLHjFUHABtRAkn5hO5y/00AwA0ZdtfXSQMlsT2sAl9RAffcOONef00As3QwnLiPTQLpQSp8LKtRAshXTbKCR00BAix5hx8DTQNEJF50iWNNAKMl8sf3w0kBbJ3TXWZLTQDpPZotZ7dNA0D5vxpWf00BLsG2umaPTQFDUuhL5ttNAyNAo8tzI00D2j7aPN4fTQH9FQtjqg9NAxMerzP5Z00CknuhflRrTQMKxT7WFFtNAFsJPHIZa00AQWzOvlWHTQOcF51Lch9NAUGNJuIfk5kBQY0m4h+TmQK3CvZWgUNRAnBG7hEDk00A/kC10Fd7TQDb5ebHDxtNA6JGLve1y00DPC6KXrZnTQGh7/ZNLttNAw4mUyCjr00DxTkrpGubTQP+XKLBMptRAZxN2VhvX00CSKMLyg7bTQP/8KfsIZtNAtGdKPx+v00BMOGkrOCHVQPE2RMNBRdRASvxvTDGM1ED/PHORg1DUQNRprgl2WNRAqsNMKkhB1EBmgTr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\",\"dtype\":\"float64\",\"shape\":[1682]}},\"selected\":{\"id\":\"048d1f5d-072b-45bf-91e1-1363232e881f\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"af965920-e581-4fca-9151-8d808fc98215\",\"type\":\"UnionRenderers\"}},\"id\":\"55da6ded-de1f-4ede-ac19-9fef3c457af0\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"months\":[0,6]},\"id\":\"6fe3ef7a-6113-4dfa-9abe-c19bf5e0dd86\",\"type\":\"MonthsTicker\"},{\"attributes\":{},\"id\":\"0cc406fc-2d7f-4a90-a3e8-3384bcaa89c7\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"formatter\":{\"id\":\"cfdb0c2a-1e0e-4cbb-b7d4-c12bc47507bd\",\"type\":\"DatetimeTickFormatter\"},\"plot\":{\"id\":\"e8a9dbbf-7479-4be5-a2dd-7c2c01890b92\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4862a3e2-d48e-4453-b0fe-9462805a9cbc\",\"type\":\"DatetimeTicker\"}},\"id\":\"677d4b9a-7c3c-44b8-ab5d-547b6e92141e\",\"type\":\"DatetimeAxis\"},{\"attributes\":{\"plot\":{\"id\":\"e8a9dbbf-7479-4be5-a2dd-7c2c01890b92\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4862a3e2-d48e-4453-b0fe-9462805a9cbc\",\"type\":\"DatetimeTicker\"}},\"id\":\"f02bbd20-32b4-400e-9173-819a659d4378\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"fccf36c2-2f45-41ed-9581-1a039d2b4eb9\",\"type\":\"Selection\"},{\"attributes\":{\"months\":[0,2,4,6,8,10]},\"id\":\"c768cb85-bdb0-4a76-b9a1-2f192937eb77\",\"type\":\"MonthsTicker\"},{\"attributes\":{},\"id\":\"c7355fce-e183-45d0-a058-22c43f84f1a2\",\"type\":\"PanTool\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"e8a9dbbf-7479-4be5-a2dd-7c2c01890b92\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"5431ecd8-b6b4-49ee-8e5b-7b51162f90b7\",\"type\":\"BasicTicker\"}},\"id\":\"2415b10f-4c53-43c3-9bbd-cc66cdb18c3c\",\"type\":\"Grid\"},{\"attributes\":{\"months\":[0,4,8]},\"id\":\"438f7c35-5f51-4645-937f-c343190fce76\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"background_fill_alpha\":{\"value\":0.1},\"items\":[{\"id\":\"edf5e556-1ad3-4415-bf8b-7514aabc8d09\",\"type\":\"LegendItem\"},{\"id\":\"24ec5f21-910c-4c29-a788-e2710a3713df\",\"type\":\"LegendItem\"},{\"id\":\"0b3271e2-979a-4633-8cc9-2da9ca567408\",\"type\":\"LegendItem\"}],\"plot\":{\"id\":\"e8a9dbbf-7479-4be5-a2dd-7c2c01890b92\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"be4ebcfd-ab7e-482d-bb61-c2a22d8b1912\",\"type\":\"Legend\"},{\"attributes\":{},\"id\":\"048d1f5d-072b-45bf-91e1-1363232e881f\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"7899c72e-831e-4230-a818-53b2764afc4b\",\"type\":\"YearsTicker\"},{\"attributes\":{\"label\":{\"value\":\"ExpectedValue\"},\"renderers\":[{\"id\":\"3adc6ce5-6dd2-4dd0-aa39-2485aebcd722\",\"type\":\"GlyphRenderer\"}]},\"id\":\"0b3271e2-979a-4633-8cc9-2da9ca567408\",\"type\":\"LegendItem\"},{\"attributes\":{\"line_color\":\"olivedrab\",\"line_dash\":[2,4,6,4],\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"9aed9db8-b620-4970-80ea-237b9c2c33fb\",\"type\":\"Line\"}],\"root_ids\":[\"e8a9dbbf-7479-4be5-a2dd-7c2c01890b92\"]},\"title\":\"Bokeh Application\",\"version\":\"0.13.0\"}};\n",
       "  var render_items = [{\"docid\":\"24c7d1f7-29c4-4815-a2cb-c0f7a7bfe4a2\",\"notebook_comms_target\":\"3cce0245-561e-41ea-be14-65d54cdf0386\",\"roots\":{\"e8a9dbbf-7479-4be5-a2dd-7c2c01890b92\":\"1bdc9cd4-3599-4faf-8943-4199ffe2a325\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "e8a9dbbf-7479-4be5-a2dd-7c2c01890b92"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 90 Sensitivity\n",
    "build_figure(sample_data,90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"0fddcfae-d2d0-44ad-bd4f-dd92234d4b86\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = 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\",\"dtype\":\"float64\",\"shape\":[1682]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[1682]}},\"selected\":{\"id\":\"85837bc1-1b6d-4c41-b236-0692d8e5beed\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"efc48a6b-0c83-4f4f-bb75-51cdf20aa07c\",\"type\":\"UnionRenderers\"}},\"id\":\"54daaf40-5f7e-4d10-b167-33ef68d47da4\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"months\":[0,1,2,3,4,5,6,7,8,9,10,11]},\"id\":\"ca9d04ee-25ed-4ba6-bf82-ef52328eb7f9\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"line_color\":\"olivedrab\",\"line_dash\":[2,4,6,4],\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"f7f0a224-e8a0-4997-8e3d-905e5daf2975\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"2ec9df4e-d978-4797-af97-b3a2330948e3\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"5b5f89e5-d3ad-4f89-bd23-fb50bdd92f97\",\"type\":\"Line\"},{\"attributes\":{\"months\":[0,4,8]},\"id\":\"78c1acfd-9ff8-48e5-b989-8f716ddd921a\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"callback\":null},\"id\":\"a7cbb9fd-f4bb-41bd-b114-7d07083182b7\",\"type\":\"DataRange1d\"},{\"attributes\":{\"plot\":{\"id\":\"49c8ee32-707f-49e7-aad5-2c0959ab0893\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"1102c078-b873-4fc8-bacb-111d0c89f8e0\",\"type\":\"DatetimeTicker\"}},\"id\":\"eb5df128-5ae3-480a-b5b7-ecd4a35bfbfa\",\"type\":\"Grid\"},{\"attributes\":{\"background_fill_alpha\":{\"value\":0.1},\"items\":[{\"id\":\"b5e0f842-646b-419f-b51c-e73b9148c4ae\",\"type\":\"LegendItem\"},{\"id\":\"a55ca446-6822-448c-80a1-4d75083fb84b\",\"type\":\"LegendItem\"},{\"id\":\"5e660cac-b21a-4539-9cf6-63aa06d6e0a8\",\"type\":\"LegendItem\"}],\"plot\":{\"id\":\"49c8ee32-707f-49e7-aad5-2c0959ab0893\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"4f1970fa-a588-4e39-98f3-df2b81fb9715\",\"type\":\"Legend\"},{\"attributes\":{\"num_minor_ticks\":5,\"tickers\":[{\"id\":\"63947c78-dabc-4a47-a3b0-c269038f34bf\",\"type\":\"AdaptiveTicker\"},{\"id\":\"44d93454-5d4c-4250-8fa5-cbfad6290c1e\",\"type\":\"AdaptiveTicker\"},{\"id\":\"ac456a07-08f2-4e4d-bb5b-dc5f7c4af795\",\"type\":\"AdaptiveTicker\"},{\"id\":\"b302283f-5cb8-48fb-8259-8ee29b02fc62\",\"type\":\"DaysTicker\"},{\"id\":\"03a60b1c-a847-4a72-854b-957ea736dca7\",\"type\":\"DaysTicker\"},{\"id\":\"e4882c68-a72a-4ff9-b2b6-29f5d20754fd\",\"type\":\"DaysTicker\"},{\"id\":\"76ff57f6-4f5f-4199-8a6c-7ddca0b011b9\",\"type\":\"DaysTicker\"},{\"id\":\"ca9d04ee-25ed-4ba6-bf82-ef52328eb7f9\",\"type\":\"MonthsTicker\"},{\"id\":\"4885a8b9-2ff8-4186-8db1-21e7f5da63af\",\"type\":\"MonthsTicker\"},{\"id\":\"78c1acfd-9ff8-48e5-b989-8f716ddd921a\",\"type\":\"MonthsTicker\"},{\"id\":\"34ef93af-05ae-4ca8-8891-22e88a10398e\",\"type\":\"MonthsTicker\"},{\"id\":\"a3394140-a6c9-4085-9c3e-a2976326fa61\",\"type\":\"YearsTicker\"}]},\"id\":\"1102c078-b873-4fc8-bacb-111d0c89f8e0\",\"type\":\"DatetimeTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"49c8ee32-707f-49e7-aad5-2c0959ab0893\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"377259ba-9c33-4f7e-a5c1-cd9df011b5eb\",\"type\":\"BasicTicker\"}},\"id\":\"bdb52a7c-3b85-4edf-9ee8-32102e71f3cd\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"6b02c045-694e-4a69-9494-afbc710fdebd\",\"type\":\"DatetimeTickFormatter\"},{\"attributes\":{},\"id\":\"a3394140-a6c9-4085-9c3e-a2976326fa61\",\"type\":\"YearsTicker\"},{\"attributes\":{\"callback\":null},\"id\":\"dcb0e51f-c2ab-4803-aa28-945c5b967062\",\"type\":\"DataRange1d\"},{\"attributes\":{\"source\":{\"id\":\"54daaf40-5f7e-4d10-b167-33ef68d47da4\",\"type\":\"ColumnDataSource\"}},\"id\":\"b109775f-f8df-4908-9f01-d4b8c5639bb3\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"9c473fd6-bb3d-4109-ba07-6285de3dd12a\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":5},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"49fb2b02-0bb2-4732-9c58-e07dae8dd55f\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"0df68e03-a5f3-4b7a-956f-f3b9beca6e56\",\"type\":\"LinearScale\"},{\"attributes\":{\"months\":[0,2,4,6,8,10]},\"id\":\"4885a8b9-2ff8-4186-8db1-21e7f5da63af\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"days\":[1,4,7,10,13,16,19,22,25,28]},\"id\":\"03a60b1c-a847-4a72-854b-957ea736dca7\",\"type\":\"DaysTicker\"},{\"attributes\":{\"days\":[1,8,15,22]},\"id\":\"e4882c68-a72a-4ff9-b2b6-29f5d20754fd\",\"type\":\"DaysTicker\"},{\"attributes\":{\"source\":{\"id\":\"bc07fef4-f37f-4b87-a626-b9616257c9fc\",\"type\":\"ColumnDataSource\"}},\"id\":\"ebeb4160-dbdf-447d-809d-443374723371\",\"type\":\"CDSView\"},{\"attributes\":{\"base\":24,\"mantissas\":[1,2,4,6,8,12],\"max_interval\":43200000.0,\"min_interval\":3600000.0,\"num_minor_ticks\":0},\"id\":\"ac456a07-08f2-4e4d-bb5b-dc5f7c4af795\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"label\":{\"value\":\"Boundary\"},\"renderers\":[{\"id\":\"2c443076-2d67-463e-9d30-504fd986930a\",\"type\":\"GlyphRenderer\"}]},\"id\":\"b5e0f842-646b-419f-b51c-e73b9148c4ae\",\"type\":\"LegendItem\"},{\"attributes\":{\"months\":[0,6]},\"id\":\"34ef93af-05ae-4ca8-8891-22e88a10398e\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"base\":60,\"mantissas\":[1,2,5,10,15,20,30],\"max_interval\":1800000.0,\"min_interval\":1000.0,\"num_minor_ticks\":0},\"id\":\"44d93454-5d4c-4250-8fa5-cbfad6290c1e\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"days\":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]},\"id\":\"b302283f-5cb8-48fb-8259-8ee29b02fc62\",\"type\":\"DaysTicker\"},{\"attributes\":{},\"id\":\"431665ae-45c7-4ddf-b600-8711421dda3a\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"da4676d8-f971-4c8c-adde-5fd14c35ef8d\",\"type\":\"SaveTool\"},{\"attributes\":{\"formatter\":{\"id\":\"6b02c045-694e-4a69-9494-afbc710fdebd\",\"type\":\"DatetimeTickFormatter\"},\"plot\":{\"id\":\"49c8ee32-707f-49e7-aad5-2c0959ab0893\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"1102c078-b873-4fc8-bacb-111d0c89f8e0\",\"type\":\"DatetimeTicker\"}},\"id\":\"a5aee0af-59bf-4022-a111-c4a3c5caf146\",\"type\":\"DatetimeAxis\"},{\"attributes\":{},\"id\":\"377259ba-9c33-4f7e-a5c1-cd9df011b5eb\",\"type\":\"BasicTicker\"}],\"root_ids\":[\"49c8ee32-707f-49e7-aad5-2c0959ab0893\"]},\"title\":\"Bokeh Application\",\"version\":\"0.13.0\"}};\n",
       "  var render_items = [{\"docid\":\"3b1b9c9b-eeba-4905-98e7-9ffdee3f1656\",\"notebook_comms_target\":\"d7d289e5-e5f5-4a45-9738-a88eb6f943d8\",\"roots\":{\"49c8ee32-707f-49e7-aad5-2c0959ab0893\":\"0fddcfae-d2d0-44ad-bd4f-dd92234d4b86\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "49c8ee32-707f-49e7-aad5-2c0959ab0893"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#85 Sensitivity\n",
    "build_figure(sample_data,85)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
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       "\n",
       "\n",
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       "\n",
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       "  var render_items = [{\"docid\":\"7b8ccdb3-8964-407e-b2d7-fdb2e92a497d\",\"notebook_comms_target\":\"7d1ba916-e102-4352-9ecf-1098a826257e\",\"roots\":{\"06a5cb35-6504-4922-be3d-e2cb6f8148dc\":\"642c6491-784f-4307-911f-204854575420\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "06a5cb35-6504-4922-be3d-e2cb6f8148dc"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#daily sample\n",
    "sample_data = json.load(open('sample.json'))\n",
    "sample_data['Granularity'] = 'daily'\n",
    "# 95 Sensitivity\n",
    "build_figure(sample_data,95)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"51a69603-4942-40eb-9973-cd0aa107ae73\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = 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       "  var render_items = [{\"docid\":\"dd3dc2b8-4dca-440a-8842-8e5a27bb5882\",\"notebook_comms_target\":\"a40f9652-36a4-4544-a2f0-72458f5ef913\",\"roots\":{\"78052e05-d2e2-45ff-a587-864990538102\":\"51a69603-4942-40eb-9973-cd0aa107ae73\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "78052e05-d2e2-45ff-a587-864990538102"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 90 Sensitivity\n",
    "build_figure(sample_data,90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"3df68b74-b70b-4467-806a-0be46cd19533\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = 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       "  var render_items = [{\"docid\":\"388c5de6-d7a3-43f2-af7a-0335be57b7e2\",\"notebook_comms_target\":\"5e65ddef-f6fc-4077-a1e6-e1542e04a144\",\"roots\":{\"6ace90c2-528f-4b04-9a54-5facecf24ca1\":\"3df68b74-b70b-4467-806a-0be46cd19533\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "6ace90c2-528f-4b04-9a54-5facecf24ca1"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 85 Sensitivity\n",
    "build_figure(sample_data,80)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
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