examples/pyIUDX_sample_usecases.ipynb

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   "source": [
    "# Python IUDX SDK - pyIUDX\n",
    "In this notebook we will use the pyIUDX SDK to interact with IUDX, the India Urban Data Exchange (https://www.iudx.org.in/). IUDX provides easy access to smart city resources, like air quality monitors, smart transportation systems, emergency reporting sensors (flooding), streetlighting metrics, crowd sourced data sources and so on! Along with access, IUDX also provides semantic information about the properties associated with these resources to foster a semantic and wholistic understanding of data. This facilitates richer apps to be developed and provides for intelligent and well integrated analytics.\n",
    "Visit https://pudx.catalogue.iudx.org.in to explore the dearth of resources available for your consumption.\n",
    "\n",
    "\n",
    "We encourage you to save a copy on your google drive and try these examples out.\n"
   ]
  },
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   "source": [
    "In the first part, we will query and obtain resources as per our requirements. This information is obtained by querying the catalogue server. The catalogue server provides all metadata associated with a sensor, including, sensor type, sensor location, sensor attributes, sensed quantities and their units etc.\n",
    "\n",
    "In the second part, we will obtain sensed data associated with a set of sensors and perform some simple analytics with it. This section will evoke the power of IUDX and illustrate how dynamic apps and analytics can be developed."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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   },
   "source": [
    "## Install pyIUDX SDK module"
   ]
  },
  {
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   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import datetime\n",
    "import matplotlib.dates\n",
    "import folium"
   ]
  },
  {
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    "outputId": "fabba30d-5b9d-46b9-e5f8-d25ef28ce590"
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     "name": "stdout",
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     "text": [
      "Collecting git+https://github.com/iudx/pyIUDX\n",
      "  Cloning https://github.com/iudx/pyIUDX to /tmp/pip-req-build-943rrtd1\n",
      "  Running command git clone -q https://github.com/iudx/pyIUDX /tmp/pip-req-build-943rrtd1\n",
      "Requirement already satisfied (use --upgrade to upgrade): pyIUDX==0.0.1 from git+https://github.com/iudx/pyIUDX in /usr/local/lib/python3.6/dist-packages\n",
      "Requirement already satisfied: requests in /usr/local/lib/python3.6/dist-packages (from pyIUDX==0.0.1) (2.21.0)\n",
      "Requirement already satisfied: urllib3 in /usr/local/lib/python3.6/dist-packages (from pyIUDX==0.0.1) (1.24.3)\n",
      "Requirement already satisfied: idna<2.9,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->pyIUDX==0.0.1) (2.8)\n",
      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->pyIUDX==0.0.1) (3.0.4)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests->pyIUDX==0.0.1) (2019.9.11)\n",
      "Building wheels for collected packages: pyIUDX\n",
      "  Building wheel for pyIUDX (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
      "  Created wheel for pyIUDX: filename=pyIUDX-0.0.1-cp36-none-any.whl size=22775 sha256=e9e4ac5a3c6d73fae8014948bd5feaecdfe7c50797640afeca8d93d95340f8d5\n",
      "  Stored in directory: /tmp/pip-ephem-wheel-cache-pzehyd0g/wheels/9a/47/49/4628dcd08582cacb7599b922e10d77572044b4c49fe076e0e8\n",
      "Successfully built pyIUDX\n"
     ]
    }
   ],
   "source": [
    "# install the latest version of pyIUDX module from github\n",
    "pip install git+https://github.com/iudx/pyIUDX@v0.1.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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    "id": "JKYqlxEUbiTQ"
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   "source": [
    "## Accessing Catalogue server\n",
    "All sensor properties are stored in the catalogue server. Querying the catalog entry for a given sensor provides us metadata and information about the sensor, particularly:\n",
    "* The sendor id (the unique id with which we query the sensor information and data)\n",
    "* Tags associated with the sensor\n",
    "* Information on the type of data provided by the sensor and their units"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "### Import *cat* class from *pyIUDX.cat*\n",
    "The *cat* class provides the APIs to fetch data from the catalogue server."
   ]
  },
  {
   "cell_type": "code",
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    "colab": {},
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   "outputs": [],
   "source": [
    "from pyIUDX.cat import cat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
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    "colab_type": "code",
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   "source": [
    "# Specify the catalogue server details.\n",
    "# initialize a catalogue class\n",
    "cat = cat.Catalogue(\"https://pudx.catalogue.iudx.org.in/catalogue/v1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "sxlSpkLmcsz0"
   },
   "source": [
    "### Search for catalogue items (sensors)\n",
    "*getManyResourceItems* member of the catalogue class can be used to fetch a filtered version of catalogue items. The example below shows how to obtain items (sensors) whose tags attribute have the values \"aqi\" or \"aqm\". The metadata is returned as a list of dictionary item for each sensor."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
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   "outputs": [],
   "source": [
    "attributes = {\"tags\": [\"aqi\", \"aqm\", \"climo\"]}\n",
    "allAQMItems = cat.getManyResourceItems(attributes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
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    "outputId": "017629a2-d4bc-4c3c-cbb8-04a35ea216eb"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'@context': ['https://raw.githubusercontent.com/iudx/iudx-ld/master/data_models/environment/airQuality/env_aqm_climoPune_0.json'], 'onboardedBy': 'Technical consultant at rbccps.org', 'itemDescription': 'Describes Air Quality Monitoring (AQM) Resource.', 'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/ABC Farm House Junction_4', 'deviceModelInfo': {'type': 'Property', 'value': {'url': 'http://www.boschclimo.com/', 'brand': 'Climo', 'model': 'Bosch-Climo'}}, 'refBaseSchema': {'type': 'Relationship', 'value': 'https://raw.githubusercontent.com/iudx/iudx-ld/master/base_schemas/v0.0.0/resourceItem_schema.json'}, 'itemType': {'type': 'Property', 'value': 'resourceItem'}, 'tags': {'type': 'Property', 'value': ['environment', 'air quality', 'air', 'aqi', 'aqm', 'climo', 'climate', 'pollution', 'so2', 'co2', 'co', 'no', 'no2', 'pm2.5', 'pm25', 'lux', 'pm10', 'humidity', 'temperature', 'ozone', 'o3', 'noise', 'light', 'uv']}, 'resourceServerGroup': {'type': 'Relationship', 'value': 'urn:iudx-catalogue-pune:pudx-resource-server/aqm-bosch-climo'}, 'refDataModel': {'type': 'Relationship', 'value': 'https://raw.githubusercontent.com/iudx/iudx-ld/master/data_models/environment/airQuality/env_aqm_climoPune_0.json'}, 'provider': {'type': 'Relationship', 'value': 'urn:iudx-catalogue-pune:pscdcl'}, 'location': {'type': 'GeoProperty', 'value': {'address': 'ABD area, Pune', 'geometry': {'type': 'Point', 'coordinates': [73.903987, 18.539107]}}}, 'resourceServer': {'type': 'Relationship', 'value': 'urn:iudx-catalogue-pune:pudx-resource-server'}, 'DEVICEID': {'type': 'Property', 'value': '02f7e7ee-29d6-c1c1-4d98-8f74981d9683'}, 'resourceId': {'type': 'Property', 'value': 'ABC Farm House Junction_4'}, 'updatedAt': {'type': 'TimeProperty', 'value': 'Thu Oct 31 16:35:29 UTC 2019'}, 'itemStatus': {'type': 'Property', 'value': 'active'}, 'createdAt': {'type': 'TimeProperty', 'value': 'Thu Oct 31 16:35:29 UTC 2019'}, 'NAME': {'type': 'Property', 'value': 'ABC Farm House Junction_4'}}, {'onboardedBy': 'Technical consultant at rbccps.org', 'itemDescription': 'Describes Air Quality Monitoring (AQM) Resource.', '@context': ['https://raw.githubusercontent.com/iudx/iudx-ld/master/data_models/environment/airQuality/env_aqm_climoPune_0.json'], 'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Ambedkar society circle_29', 'refBaseSchema': {'type': 'Relationship', 'value': 'https://raw.githubusercontent.com/iudx/iudx-ld/master/base_schemas/v0.0.0/resourceItem_schema.json'}, 'itemType': {'type': 'Property', 'value': 'resourceItem'}, 'tags': {'type': 'Property', 'value': ['environment', 'air quality', 'air', 'aqi', 'aqm', 'climo', 'climate', 'pollution', 'so2', 'co2', 'co', 'no', 'no2', 'pm2.5', 'pm25', 'lux', 'pm10', 'humidity', 'temperature', 'ozone', 'o3', 'noise', 'light', 'uv']}, 'resourceServerGroup': {'type': 'Relationship', 'value': 'urn:iudx-catalogue-pune:pudx-resource-server/aqm-bosch-climo'}, 'refDataModel': {'type': 'Relationship', 'value': 'https://raw.githubusercontent.com/iudx/iudx-ld/master/data_models/environment/airQuality/env_aqm_climoPune_0.json'}, 'updatedAt': {'type': 'TimeProperty', 'value': 'Fri Nov 01 05:29:51 UTC 2019'}, 'NAME': {'type': 'Property', 'value': 'Ambedkar society circle_29'}, 'createdAt': {'type': 'TimeProperty', 'value': 'Fri Nov 01 05:29:51 UTC 2019'}, 'resourceServer': {'type': 'Relationship', 'value': 'urn:iudx-catalogue-pune:pudx-resource-server'}, 'itemStatus': {'type': 'Property', 'value': 'active'}, 'location': {'type': 'GeoProperty', 'value': {'address': 'ABD area, Pune', 'geometry': {'type': 'Point', 'coordinates': [73.879657, 18.5529659]}}}, 'provider': {'type': 'Relationship', 'value': 'urn:iudx-catalogue-pune:pscdcl'}, 'resourceId': {'type': 'Property', 'value': 'Ambedkar society circle_29'}, 'deviceModelInfo': {'type': 'Property', 'value': {'url': 'http://www.boschclimo.com/', 'brand': 'Climo', 'model': 'Bosch-Climo'}}, 'DEVICEID': {'type': 'Property', 'value': '8cff12b2-b8be-1230-c5f6-ca96b4e4e441'}}]\n"
     ]
    }
   ],
   "source": [
    "print(allAQMItems[0:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "XF_Ga4FHcS4N"
   },
   "outputs": [],
   "source": [
    "allAQMItemsCount = cat.getItemCount(attributes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "_dgz9A8ycS4T",
    "outputId": "db9ef353-37e1-490c-be21-2429bf780758"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "62\n"
     ]
    }
   ],
   "source": [
    "print(allAQMItemsCount)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "9b7XTpjWfypS"
   },
   "source": [
    "### Filter the catalogue response\n",
    "An unfiltered call to *getManyResourceItems* will return all information associated with each sensor. Using the filters option, we can filter the information returned.\n",
    "\n",
    "In the example below, by specifying the filters = [\"id\"], only the \"id\" of the sensor is returned."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "e8oYwsbHcS4c"
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   "outputs": [],
   "source": [
    "filters = [\"id\"]\n",
    "allAQMItemsByID = cat.getManyResourceItems(attributes, filters)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 55
    },
    "colab_type": "code",
    "id": "POUeqt1BlSUS",
    "outputId": "796337ba-5802-484c-947d-b0948e2ff2d3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/ABC Farm House Junction_4'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Ambedkar society circle_29'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Appa_Balwant_Square_30'}]\n"
     ]
    }
   ],
   "source": [
    "print(allAQMItemsByID[0:3])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "8wKHHJVTgklb"
   },
   "source": [
    "### Filter items (sensors) by geo-location\n",
    "The function *getManyResourceItems* can also be used to filter items (sensors) based on their locations. In the example below, we specify the area of interest as a circle with center specified by latitude (\"lat\") and longitude (\"lon\") and radius in meters.\n",
    "In this case, we are requesting for sensors around a 3km radius.\n",
    "We also will specify that we are specifically interested in Air Quality Monitoring Stations present in that region.\n",
    "We only require the ID's for now, which we can obtain by passing a filters option"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "ImETKLDHSj7e"
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   "outputs": [],
   "source": [
    "geo1 = {\"circle\": {\"lat\": 18.539107, \"lon\": 73.853987, \"radius\": 3000}}\n",
    "attributes = {\"tags\": [\"aqi\", \"aqm\", \"climo\"]}\n",
    "filters = [\"id\"]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "4cfK_aCohwoA"
   },
   "source": [
    "The below call returns all sensors with tags \"aqi\" or \"aqm\" and within the geographical area specified. Further, as specified by the filters argument, only the \"id\" information is returned for each of the sensors.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "u7h7KW7nSl0l"
   },
   "outputs": [],
   "source": [
    "allAQMItemsByID = cat.getManyResourceItems(attributes, filters, geo=geo1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 73
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    "colab_type": "code",
    "id": "IzsC9_V6cS4h",
    "outputId": "9327557b-7f7e-4f0f-baa0-ea2d779493f4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Goodluck Square_Cafe_23'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Pune_ST_Stand_40'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Pune Railway Station_28'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Sadhu_Wasvani_Square_24'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/RTO Square_8'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Appa_Balwant_Square_30'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Chitale Bandhu Corner_41'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/PMPML_Bus_Depot_Deccan_15'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Jhanshi Rani Square_59'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Shivaji Nagar ST Stand_45'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/pune-iitm-aqi/Shivajinagar'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/pune-iitm-forecast/Shivajinagar'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Shimla Office Square (Shivaji Nagar Chowk)_33'}]\n",
      "Number of items =  13\n"
     ]
    }
   ],
   "source": [
    "print(allAQMItemsByID)\n",
    "print(\"Number of items = \", len(allAQMItemsByID))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "PJoUpvaLh5nl"
   },
   "source": [
    "## Fetch data from sensors\n",
    "In this section we will fetch sensor data from the resource server and show off a little bit of the magic of IUDX."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Kdmr4_yBnAlx"
   },
   "source": [
    "### Import *item* class from *pyIUDX.rs*\n",
    "The *item* class provides the APIs to access relevant sensor data.\n",
    "This is a high level abstraction module which encapsulates multiple functionalities of IUDX such as fetching meta information from data models and live data from  resource servers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "nx8JGkMymxyj"
   },
   "outputs": [],
   "source": [
    "# Import the item class from pyIUDX.rs\n",
    "from pyIUDX.rs import item\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "FumTVfc--V8u"
   },
   "source": [
    "### Plot sensor locations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "JaI6weqN9mP9"
   },
   "source": [
    "We can pass the previously obtained list of filtered Air Quality Monitoring stations to the Items class. This will load a list of resourceItem objects and provide neat access to their data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "daliTnbg7NQF"
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   "outputs": [],
   "source": [
    "geo1 = {\"circle\": {\"lat\": 18.539107, \"lon\": 73.853987, \"radius\": 3000}}\n",
    "attributes = {\"tags\": [\"aqm\"]}\n",
    "filters = [\"id\"]\n",
    "allAQMItemsByID = cat.getManyResourceItems(attributes, filters, geo=geo1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "HgZvgDIt8I3e",
    "outputId": "ae1c5583-1589-4ee6-a54f-89b7037298c7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['location']\n",
      "Sensor location =  [73.8723841, 18.527615]\n",
      "Sensor location =  [73.841424, 18.517439]\n",
      "Sensor location =  [73.876484, 18.525007]\n",
      "Sensor location =  [73.874537, 18.528311]\n",
      "Sensor location =  [73.863395, 18.529578]\n",
      "Sensor location =  [73.8525898, 18.5137013]\n",
      "Sensor location =  [73.854009, 18.516644]\n",
      "Sensor location =  [73.842727, 18.516163]\n",
      "Sensor location =  [73.8480461, 18.522622]\n",
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     },
     "execution_count": 16,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "m = folium.Map(location=[18.5204,73.8567],zoom_start=12)\n",
    "aqms = item.Items(\"https://pudx.catalogue.iudx.org.in/catalogue/v1\", \"https://pudx.resourceserver.iudx.org.in/resource-server/pscdcl/v1\", allAQMItemsByID)\n",
    "print(aqms[0].geoProperties)\n",
    "for sensor in aqms:\n",
    "  sensor_id = sensor.id  \n",
    "  print(\"Sensor location = \", sensor.location.coordinates)\n",
    "  folium.Marker([sensor.location.coordinates[1], sensor.location.coordinates[0] ], popup=sensor_id).add_to(m)    \n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ss-wVF_OoXSd"
   },
   "source": [
    "### Fetch Quantitative Properties \n",
    "We will iterate across the list of sensors and obtain *PM10_MAX* values and its meta-information. Further, we will also obtain data for a specified duration.\n",
    "You can find the data model for an AQM sensor here \n",
    "https://github.com/iudx/iudx-ld/blob/master/data_models/environment/airQuality/env_aqm_climoPune_0.json"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "puNH6LKyEg6l"
   },
   "source": [
    "Let's use one of the items form the list of sensors we just created"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "txGDMvwiEt2J",
    "outputId": "574d7a69-83f4-484d-9b9f-f6089f9c02c1"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Pune_ST_Stand_40\n"
     ]
    }
   ],
   "source": [
    "print(aqms[0].id)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "yiFMxp9Z_QIk"
   },
   "source": [
    "We can find out all the QuantitativeProperties (measured properties) of an aqm item by calling the Object.quantitativeProperties property.\n",
    "Since our previous filter filtered out all AQM sensors, we can assume that the quantitative properties for sensor aqms[0] is the same for the rest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 55
    },
    "colab_type": "code",
    "id": "EYhBOkTe_aCd",
    "outputId": "1cb2215a-f25c-43e4-eab7-d4aeb081252b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['AIR_PRESSURE', 'AQI', 'CO2_MAX', 'CO2_MIN', 'CO_MAX', 'CO_MIN', 'HUMIDITY', 'LIGHT', 'NO2_MAX', 'NO2_MIN', 'NO_MAX', 'NO_MIN', 'OZONE_MAX', 'OZONE_MIN', 'PM10_MAX', 'PM10_MIN', 'PM2_MAX', 'PM2_MIN', 'SO2_MAX', 'SO2_MIN', 'TEMPRATURE_MAX', 'UV_MAX', 'UV_MIN']\n"
     ]
    }
   ],
   "source": [
    "print(aqms[0].quantitativeProperties)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "aEFArN2yDJFl"
   },
   "source": [
    "A quantitativeProperty also has further meta information related to that property, such as a detailed description, units, etc.\n",
    "We can get a list of such attributes for a quantitativeProperty, and access them directly.\n",
    "For e.g, for PM10_MAX.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 89
    },
    "colab_type": "code",
    "id": "M0zQOJtqDTFa",
    "outputId": "b9ff72cd-563c-4239-a19b-b6724a60bb05"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'name': 'CO2_MAX', 'describes': 'Maximum value of CO2 for the last 24 hours', 'symbol': 'ppm', 'unitCode': 'X59', 'unitText': 'part per million (ppm)'}\n",
      "Name of the property is ppm\n",
      "Units of the property are ppm\n",
      "The property tells us the Maximum value of CO2 for the last 24 hours\n"
     ]
    }
   ],
   "source": [
    "print(aqms[0].CO2_MAX.attributes)\n",
    "print(\"Name of the property is \" + aqms[0].CO2_MAX.symbol)\n",
    "print(\"Units of the property are \" + aqms[0].CO2_MAX.symbol)\n",
    "print(\"The property tells us the \" + aqms[0].CO2_MAX.describes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "vDaXH_FACbQp"
   },
   "source": [
    "We need to call the object's latest() method to get the latest data .\n",
    "Calling aqms.latest() will update the latest values of all these properties and for **all the previously filtered sensors**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 55
    },
    "colab_type": "code",
    "id": "KkvIFyyCCODJ",
    "outputId": "cdf37627-d1f1-4732-85ab-c1dbd6d862e8"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Items [<pyIUDX.rs.item.Item object at 0x7f7a58f2edd8>, <pyIUDX.rs.item.Item object at 0x7f7a58f2ee10>, <pyIUDX.rs.item.Item object at 0x7f7a58f29390>, <pyIUDX.rs.item.Item object at 0x7f7a58f2e390>, <pyIUDX.rs.item.Item object at 0x7f7a58f57f98>, <pyIUDX.rs.item.Item object at 0x7f7a58f4feb8>, <pyIUDX.rs.item.Item object at 0x7f7a58ee8518>, <pyIUDX.rs.item.Item object at 0x7f7a58ee84e0>, <pyIUDX.rs.item.Item object at 0x7f7a58ef6240>, <pyIUDX.rs.item.Item object at 0x7f7a58f07fd0>, <pyIUDX.rs.item.Item object at 0x7f7a58f07240>]>"
      ]
     },
     "execution_count": 20,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aqms.latest()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "8txb32gDB0dd"
   },
   "source": [
    "We can now call aqms[0].\"quantitativeProperty\".value to obtain a numpy array with the first column as datetime and second column as that property's value.\n",
    "A quantitativeProperty always has a .value attribute.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 53
    },
    "colab_type": "code",
    "id": "L_n6brl7CyTs",
    "outputId": "185bea28-0877-463e-a001-8eaa924ddd37"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[datetime.datetime(2019, 11, 29, 12, 31, 16, 763000), 545.0]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 21,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aqms[0].CO2_MAX.value"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "7AdboZMpFc0E"
   },
   "source": [
    "Calling latest() once is enough. We can access other quantitativeProperties as well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 53
    },
    "colab_type": "code",
    "id": "R-cFdJl6HfAR",
    "outputId": "0e94d985-30d7-4620-ee85-801c211abb07"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[datetime.datetime(2019, 11, 29, 12, 31, 16, 763000), 7.0]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 22,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aqms[0].SO2_MAX.value"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "FSOJlcAiFtax"
   },
   "source": [
    "Supposing there is a need to find the trend of a particular property over a period of time. We can use Items object's during() functionality to show a time series view of that quantitativeProperty. We need to specify the start and end time in utc format. Let's get the data during 25th October 2019 and 2nd November 2019."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 55
    },
    "colab_type": "code",
    "id": "8pFx0KOXFrDT",
    "outputId": "bcd88c58-69aa-4c9a-a5ca-b50e62644f40"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Items [<pyIUDX.rs.item.Item object at 0x7f7a58de6400>, <pyIUDX.rs.item.Item object at 0x7f7a58db55f8>, <pyIUDX.rs.item.Item object at 0x7f7a58eadba8>, <pyIUDX.rs.item.Item object at 0x7f7a58ec3898>, <pyIUDX.rs.item.Item object at 0x7f7a58d9e588>, <pyIUDX.rs.item.Item object at 0x7f7a58db5198>, <pyIUDX.rs.item.Item object at 0x7f7a58c1b400>, <pyIUDX.rs.item.Item object at 0x7f7a58db52e8>, <pyIUDX.rs.item.Item object at 0x7f7a58bb0940>, <pyIUDX.rs.item.Item object at 0x7f7a58bd7f98>, <pyIUDX.rs.item.Item object at 0x7f7a58b60048>]>"
      ]
     },
     "execution_count": 23,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aqms.during(\"2019-10-26T00:00:00.000+05:30\", \"2019-11-02T00:00:00.000+05:30\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "iRE1RgZ5GlKL"
   },
   "source": [
    "Now we can repeat what we did earlier and find the value of the quantitativeProperty **during** that period of time for **sensor 1**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 197
    },
    "colab_type": "code",
    "id": "OUSm4e-TGuAO",
    "outputId": "2bc50357-30e5-4cc2-f0e3-c8b62272d807"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[datetime.datetime(2019, 10, 26, 0, 1, 24) 30.0]\n",
      " [datetime.datetime(2019, 10, 26, 0, 16, 17) 30.0]\n",
      " [datetime.datetime(2019, 10, 26, 0, 31, 28) 30.0]\n",
      " [datetime.datetime(2019, 10, 26, 0, 46, 16) 30.0]\n",
      " [datetime.datetime(2019, 10, 26, 1, 1, 19) 30.0]\n",
      " [datetime.datetime(2019, 10, 26, 1, 16, 31) 30.0]\n",
      " [datetime.datetime(2019, 10, 26, 2, 28, 4) 29.0]\n",
      " [datetime.datetime(2019, 10, 26, 2, 42, 57) 29.0]\n",
      " [datetime.datetime(2019, 10, 26, 2, 57, 56) 29.0]\n",
      " [datetime.datetime(2019, 10, 26, 3, 12, 57) 29.0]]\n"
     ]
    }
   ],
   "source": [
    "print(aqms[1].PM10_MAX.value[0:10,:])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "afHaPPLNIbqs"
   },
   "source": [
    "We can utilize all of the other meta information that's part of the object and plot it right away!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 832
    },
    "colab_type": "code",
    "id": "cne1AirgIFTv",
    "outputId": "b70d670d-566f-4c41-ad66-57487873565a"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/pandas/plotting/_matplotlib/converter.py:103: FutureWarning: Using an implicitly registered datetime converter for a matplotlib plotting method. The converter was registered by pandas on import. Future versions of pandas will require you to explicitly register matplotlib converters.\n",
      "\n",
      "To register the converters:\n",
      "\t>>> from pandas.plotting import register_matplotlib_converters\n",
      "\t>>> register_matplotlib_converters()\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'PM10_MAX (ug/m3)')"
      ]
     },
     "execution_count": 25,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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FcxwCVlfx/vSRT8TvAbomrNureL9+Ppf3g5wkVXpfE7l5Y6W4Ss99Xdmyg8j9yH5b/noU\n655TvL/nTfZcJ2x/erH/b5c/b/KFh1uLdU+d8JhLgDTDz3/pfT9jwvIucjPOBHymwvavLV7nMeBT\nZeufUqz/u2IfCbh1mhhKr/8/TLHNpmKbVZOs31asXzzVscq2v7VSXMCRxX5uB/aa8Hp8o1j3jgr7\nSuST4yUzeO3XUeF7Vbb+KB78jk/8bL6uWP7JSd7Pfy3/DpAvrnymWHdclfHt8nkif3/3rbDtCnLS\nsBlYVLb8nyc7JrA7D/3dKsV+1Ew+w1PEv5z8uzFO2W9Q2frfIyeD76vwXnbN4DiluPuBwyas+0Kx\n7viyZQH8ulj+ygnbv6xYfsOE1+YcJvzeVPicTPwOX1Is/yWwR4X3a5zcfaHSb2XF75k3b95mfrMZ\np9RYziSfFJ0EEBH7kytRn09T9JdLKd2WUhqrsOos8gnA8yus+xA5kXx5RJwOfJ6cAL1sqmNVsAN4\nW0ppvGzZF8hJ0O7Am1NKg2Wx/ph8QvP4GRxjOu9LKa0vO8YD5KvVi4F/T7k5VWndELlpVQ/w6Ol2\nXMT+FWANu76Of0Z+v86d8JjZvB+18Hpy9fTN5a9HEdPF5Nfk2IhYVsW+TiKfqJ2WUtpZlUgpbQTe\nV/xZqQnlbB1VNAc9IyL+lZyQP5uctP9jpQek3AzzIuAVEbGkWHwyOQE8u4axQT45hXzhpZItE7ab\nrZOK+39IKd1TWli8B28lnyBP9rq/NaW0fY7Hr+QnKaVzJiw7i/wd39nEtmiieSo5wfmr8u9A8e+3\nUiQYsw0kpTSUUrqzwvItRUy7k5OoiQYqPOb+Cb9bNRO5RPef5N+Nh/wGFesXkZtv/gp4b40O+/GU\n0rUTlpWaMpc3hX4quYr3fymlz5dvnFL6MvC/wMHkClst/H1K6d4JyxI56Rwif6YfujKl+2p0bKnt\n2YxTaiAppcsj4lrgpMjDwL+W3ARw0r5HsLPp1OvIzScfQz7hLL+Ys0ufjZRSiog/JzfZKvU5el2F\nk4Xp3JQmNElMKY1FxAZyleGWCo9ZT25iVCtXVlhWGiTk55McH2DfCusqOYecRJwAfKts+QnkK/Nf\nKN94Nu9HjZQGCHlW0UxrotXk5PQgKr8uABTJ4AHA+pRSpekAflDcP2EOsU70rOIGuTp5B7li/P6U\n0h1TPO5McpOvl0fEf5MrE99KKd0VzTl8/ROL+x9MXJFSuiki7gQeHhErigSnZJBcQZkPu3y/Ukoj\nxXe8vA/qQeRmlr8B3jlJk8QBqrjIMpWIOAR4G/BMchPOiaNXln+/vkxuqnp+RHyVXP38Sdp1dNda\n+2fgT8hNxyuNxPlB4BHA76XcP7UWKv0Olr475e/TpJ+xsuVPJ3+/L61BXFdMXJBS6o+Ib5Cb314d\nEf9Dfq0un+HFRknTaMb/CKVWdybwcXIfnVeTmwheNc1jvkzuI3YLcAH5ynqpf8ZbyE2fdpFS2hQR\nl5KTkvvIV5pnarJKx+g062r5+1PpOKNVrOuuZucppZ9GxE3AH0bE7in3e3wicChwfoWr1rN6P2pg\nVXH/tmm2WzrN+lJ16u5J1peW71ZNUFV6T0rpjFk87hvkEQxfS34/lzDNxZFZ2kIeGXQF+bsy0XSV\nv2pV89rvR37ty4+1MaVUqW9jLVSa2gLy96iz7O/S5+9Aph5sZLrP36Qi4inkZKTUzPfr5Gr5OLm1\nwHGUfb9SSldEHizq78j9TV9V7OdG8mfui7ONZYoYPwj8FTlR+oNU1leuWP8scr/hM1JK19Tw0JXe\np9JvXfn7tNDf73smWf4ycl/0P+XBfr6DRVL+1yklRyaVasBkT2o8nyMPw/0f5CvUUzbxiYgjyInF\n94EXlje5K5pV/c0Uj305OdG7l3wi+3FyBaseSk15Kv0u1TKpmK3PkvtMvoz83pxQLH9IE865vB8V\nJCb/na70muxsSphS6p/BcSbbz16TrN97wnZ1U1SYzgbeTq7U3smDA6bU0o3k78hB5IFKdoqIvclJ\n5p01qEqUv/aVqk+TvfbzlejNRCmm81JKVU0mPgvvJE+5cXRK6ZLyFUVz9OMmPiCl9H/AiyKPZHo4\nuRJ8KvCFiNiUUqrZQCAR8S/kCzo/JM83Wenz8ARyE8b3RMRkgxmNFJXRJ6SUJg6YM1ez+X7P+vd5\nsosQKaUBcn/DMyLiYeRK7Ynk5vHryP27Jc2RffakBlP0N/sq+cR1O3mEy6mURuj8enliUXgS+cRo\nFxFxAHnUxk082FzntUUCWA/3F/cPq7DuiIUMZBKfJZ/wnFA003wFOUn+1oTtZvV+TOJ+KrweEdFJ\n5T6PpdFN53SSVDTLvRlYW2kYdoopFoBfzOU4NfSf5GRnX+CsSfpLzlWpydsLKqx74YRt5qJUxT9q\n4oriO7sv8LtUeSL5mSq9Tp1TblW9G8jVpaeUpjSYBwcAmycmeoVnVVi2U9Hf76cppXcBbyoWlyeH\ns349Ivs3cqL3PXJFb7LE/zryYDWVbtuKbc4q/p6PvmuTfsYKlb7f8/r7nFK6o+g/+HzyAFNPj4hV\n0zxMUhVM9qTG9E5ydej5E/vDVXBrcX9U+cKIWE0eLn8XxbD6XyI3pzqhGPDgT8knFp+KiEfOOvLZ\nK/XreHV5X6viiu+76hDPQxT9xn5AHu3xzcCewBcq9Le5tbg/qnzhVO/HFK4A9ouIYyYsfyd5JMqJ\nPkHuQ/gvEXHQxJXFvFbVJoJnkasPHyqSy9I+9gD+vmybuiv6X72A/J35+Dwd5mxyU9w3ls81Fnne\nxNIUFP9Rg+OUXtN3RsSeZcfpJE8x0kFOAmrhfnKSvF8tdlZc3PhXcmXo41FhLsuI2DsiHjOHw9wK\nrCymVCjf72uoMPBRRDy1UhzkgVMgDzBVUkqsZvR6FIOxfJo89cF3gD8sqlYVpZS+n1J6baVbWQyv\nK5ZN1V91tn5CrlQ/PSJeOuG5vJR8segm8kAtJaXf55MnbH8Y+fdwRiJiz+KxEy0h/780Su67K2mO\nbMYpNaCU50Gbdi60ws/I/3m/JCJ+Sv4Peg252nAjDw5UUu6D5OZMH0kpfac45vrIkyl/gzyP2lPT\nrnN5zZticJpLyU15roiIH5Cfx7Hk+d4qXVFeaOcCz+XBAW3OrbDNbN6PyXyYfAJ7QUR8mTys/FPJ\nE3JfwoSEMqV0QzHP3lnAryLiQvJJWzf5BPYZ5Eruo6o89gvJlY9rIuLb5NFN/4Q80MsHU0r/O8Xj\nF1RK6aKZbB8Rr+XB0QZL1dhjI6I0aM8NKaUPlO3/dxHxNnIyeWXxfgyT+4HtC/xz0VxwTor+oR8k\nN/e9rui/tJ38XhxK/jx9aK7HKY61LSIuB54REZ8nf1bGyFXp2Q728j7gceQJ5o8tvsfryZ+ZA4Gn\nkfvPXT/L/X+U/J3434j4Crmp4RHk9/Kr5Pej3N8Az46IH5Pn2NsGHEJ+Pe8nJ2klPyRX7/9fRBxa\nrCel9A/TxPQucp/RAfKAV2+vMDjN1Sml8ycurIdicK4TyBXIL0fEBeSq7MHkuQa3An8+YaTSC8gD\n77yi+I5cTv5NOa5Yd/wMw1gLXFUMSPZL8kAyy4EXkZuXfryKC52SqpEaYP4Hb97a+UbZPHtVbDvZ\nPHsrgU+Sr3oPkpvgvZ98cn4rZfN5kZOnRE5Kuisc4yPF+o+VLTuDyefZu2SSWB9y3AnrLqHCfGzk\nvh9nkifdHSI3dzqF6efZW1dhXxVjLtadWOl1rOL1X0w+uUzAtVNsV/X7MV085EmSryz2cx+5Irv/\nNM/9sGL9bcXruLl4LT8FPHsGz7ePXLW6jnwiu5WcbLxiJu/rNMcovU9nzHD711ax7aTz7JW9fpPd\nJvtcH0uesHorOQn7Gbk6XvVznu77Uax/efFaby3e+1+Rk6S+me5rmjgOIF/guY+c6Oz8HDLJ/GnT\nHZdcEX4VeQCVzeSkeH3xfN4BPKzK2Cp+nsgJwWXFa/MAefqNUn+vh3yPgGPIVdnryd/d7eSLLh8H\n9q+w7z8jJ2wDpc9CFXFO91na5bdrms/FbOfZO6rCunWTHZ+c3H2OPCDLSHH/X8DBkxznYeTBpzYX\nr8/PgJdM9jmZ7P0r1u1GTpJLFwOGiuNfQm4iH7P5PHvz5m3XW6TUCH26JUmSJEm1ZJ89SZIkSWpB\nJnuSJEmS1IJM9iRJkiSpBZnsSZIkSVILMtmTJEmSpBZksidJkiRJLchkT5IkSZJakMmeJEmSJLUg\nkz1JkiRJakEme5IkSZLUgkz2JEmSJKkFmexJkiRJUgsy2ZMkSZKkFmSyJ0mSJEktyGRPkiRJklqQ\nyZ4kSZIktSCTPUmSJElqQSZ7kiRJktSCTPYkSZIkqQWZ7EmSJElSCzLZkyRJkqQWZLInSZIkSS3I\nZE+SJEmSWpDJniRJkiS1IJM9SZIkSWpBJnuSJEmS1IJM9iRJkiSpBZnsSZIkSVILMtmTJEmSpBZk\nsidJkiRJLchkT5IkSZJakMmeJEmSJLUgkz1JkiRJakEme5IkSZLUgrrqHcBc7LHHHmndunX1DkOS\nJEmS6uLnP//5vSmlPSuta+pkb926dVx55ZX1DkOSJEmS6iIibptsnc04JUmSJKkFmexJkiRJUgsy\n2ZMkSZKkFmSyJ0mSJEktyGRPkiRJklqQyZ4kSZIktSCTPUmSJElqQSZ7kiRJktSCTPYkSZIkqQWZ\n7EmSJElSCzLZkyRJkqQWZLInSZIkSS3IZE+SJEmSWpDJniRJkiS1IJM9SZIkSWpBJnuSJEmS1IJM\n9iRJkiSpBZnsSZIkSVILMtmTJEmSpBZksidJkiRJLchkT5IkSZJakMmeJEmSJLWgrnoHIEm18G8/\n/C1f+8Wd9Q5Ds7S4p4tP//nh7L1iUb1DkSSpZZjsSWoJ37jmLnYMj/HE/XevdyiaoR1Do/zwxk1c\neev9HPs4kz1JkmrFZE9SS9i0dYhjDtmL//eSw+odimZo+9Aoh7z7u9y+eUe9Q5EkqaXYZ09S0xsZ\nG+e+7cOsWd5b71A0C0t6u9hjaS+332eyJ0lSLZnsSWp6m7YOAbB6WV+dI9Fs7b9qMbdt3l7vMCRJ\naikme5Ka3sadyZ6VvWa138rFVvYkSaoxkz1JTW9j/yAAa5Zb2WtW+61czN39gwyNjtU7FEmSWobJ\nnqSmt6FU2bPPXtPaf9ViUoI77x+odyiSJLWMBU/2IuLgiLi67NYfEW+JiJUR8b2I+E1x7/jpkqqy\nqX+QCFi1pKfeoWiW9lu5GMCmnJIk1dCCJ3sppRtTSo9PKT0eOBzYAZwHvB24OKV0IHBx8bckTWvj\n1iH2WNpLV6eNFZrVfquKZM/pFyRJqpl6nxk9B7g5pXQbcBxwbrH8XODFdYtKUlPZ0D/o4CxNbs+l\nvSzu6eQ2K3uSJNVMvSdVfznwxeLfa1JKdxf/vgdYU5+QJDW60bFxfnDDRgZG8mAeN2/aziP3XFLn\nqDQXEZFH5HT6BUmSaqZuyV5E9AB/CJw+cV1KKUVEmuRxpwCnAOy3337zGqOkxvTj39zLKZ/7+UOW\nHfMYrw81u4etXMyt95rsSZJUK/Ws7L0Q+EVKaUPx94aI2DuldHdE7A1srPSglNKngU8DHHHEERUT\nQkmtbdO2PPrmF05+MmuW9xHA/qus7DW7/Vcu5tKbNpFSIiLqHY4kSU2vnn32XsGDTTgBvg6cUPz7\nBOCCBY9IUlPoHxgB4NC1K3jknkt5xJ5L6ewwOWh2+69azNDoOBuLqTQkSdLc1CXZi4glwPOAr5Ut\n/gDwvIj4DfDc4m9J2sWWgRE6Apb21LvbsWrpYcX0Cw7SIklSbdTlTCmltB1YNWHZfeTROSVpSlsG\nRljW102H1byWUmqKe/vmHTzp4SvrHI0kSc2v3lMvSNKMbRkYYcWi7nqHoRpbu9siOgJuv89BWiRJ\nqgWTPUlNx2SvNfV0dbD3ikXc5sTqkiTVhMmepKZjste69l+1mNtN9iRJqgmTPUlNp99kr2Xtv2ox\ntztAiyRJNWGyJ6npbBkYZbnJXkvab+US7ts+zLah0XqHIklS0zPZk9RUUkpW9lrYfsX0C1b3JEma\nOyepktRUBkfGGR4bZ/kif75a0f6rcrL36nOuYFF3JwB/+Lh9OO2Yg+sZliRJTcnKnqSmsmVgBMDK\nXot61F7LePXT1vGUR6zicQ/bjZGxxLevu6feYUmS1JS8NC6pqZjstbauzg7efewhO/9+9wXXcd5V\n6+sYkSRJzcvKnqSmYrLXXiPUmdwAACAASURBVFYv76N/cJTBkbF6hyJJUtMx2ZPUVEz22svqZb0A\nbOwfqnMkkiQ1H5M9SU2l32Svraxe3gfAhq2DdY5EkqTmY7InqamUKnvL+0z22sGa5Vb2JEmaLZM9\nSU1lZ7JnZa8trF5WVPb6rexJkjRTJnuSmsqWgRGW9XbR2RH1DkULYPfF3XR3Bhu3WtmTJGmmTPYk\nNZX+gRGrem0kIli9rI+N9tmTJGnGTPYkNZUtAyMOztJm9lzWa589SZJmwWRPUlMx2Ws/a5b3csum\nbXztF3fyves3kFKqd0iSJDUFkz1JTcVkr/0csHopd20Z5LSvXMPJn72Sa+7cUu+QJElqCiZ7kppK\n/+AIyxd11TsMLaC3Pu9gLn3b0fzP658KwDV3PFDniCRJag6eMUlqKlb22k9HR7DfqsU8bOUiVi3p\n4br1VvYkSaqGlT1JTWNodIzBkXGTvTYVERy6dgXXmuxJklQVkz1JTaM0obrJXvs6bO0KfrNxG4Mj\nY/UORZKkhmeyJ6lp9BfJnvPsta9D1y5nbDxxwz1b6x2KJEkNz2RPUtOwsqdD164AsCmnJElVMNmT\n1DS2WNlre2t3W8Tui7u5zukXJEmalsmepKZhZU8O0iJJUvVM9iQ1jf6BUcBkr90dunYFN23YytCo\ng7RIkjQVkz1JTcPKniCPyDk6nrjRQVokSZqSk6pLagr/fsnNnHnpLSzu6aS70+tU7eywYpCWV5/9\nMxb1dHLg6qWc/eon1TkqSZIaj8mepKZw6U2b6O3u5I1HP7LeoajO9t19EW96zoHcef8ObtqwlR/e\nuImh0TF6uzrrHZokSQ3FZE9SUxgYGeMx+yznxKc9vN6hqM4igtOedxAAZ//kd1y3/nq2D5nsSZI0\nkW2hJDWFwZExFnX7k6WHWtKbr1luHxqtcySSJDUez5wkNYUdw2Ms7rExgh5qaZHsbTPZkyRpFyZ7\nkprCwMgYfd0209NDLe7Jn4kdwyZ7kiRNZLInqSkMDo+xyGRPEzxY2XPOPUmSJjLZk9QUBkbGWNTj\nT5Yeyj57kiRNzjMnSQ1vZGyc0fFkZU+7sM+eJEmTM9mT1PAGRnITPfvsaaKdffZM9iRJ2oXJnqSG\nNzick71FPSZ7eqidzTiH7bMnSdJEJnuSGl6psmczTk3U29VBV0fYjFOSpApM9iQ1vB1F1WaxlT1N\nEBEs6e1ygBZJkiow2ZPU8Oyzp6ks6elku1MvSJK0C5M9SQ1vZ589kz1VYGVPkqTKTPYkNbydffZs\nxqkKlvR2sX3YZE+SpIlM9iQ1PAdo0VSW9nY5QIskSRWY7ElqeAPD9tnT5Bb3dLLDPnuSJO3CZE9S\nwxu0GaemYGVPkqTKTPYkNTynXtBU7LMnSVJlJnuSGt7OqRe6TPa0K0fjlCSpMpM9SQ1vYGSM3q4O\nOjqi3qGoAS3p6WRkLDE8Ol7vUCRJaigme5Ia3uDwmP31NKklvV0AVvckSZqgq94BSNJ0BkbGnHZB\nk1ral/8re/5HL6WzI+iI4PTffxQveuw+dY5MkqT6srInqeENjIyb7GlSRx28J696yv4cdfCePOPA\nPdi0bYgrfre53mFJklR3VvYkNbyB4THn2NOkVi/r430vPnTn3z/57X1OxSBJElb2JDWBwRH77Kl6\nS3o77b8nSRIme5KawI7hUefYU9XyVAxj9Q5DkqS6M9mT1PAGRsZtxqmqLXWSdUmSAJM9SU1g0NE4\nNQNLepxkXZIkMNmT1AQGhk32VL3FvZ0245QkCZM9SU1gwAFaNANLe7scjVOSJEz2JDWBgRGnXlD1\nlvR2scM+e5IkmexJamxj44nhUSdVV/WW9nYxMpYYGrUppySpvZnsSWpoAyP5hN2pF1StJcVnxX57\nkqR2Z7InqaENDOcT9j6TPVVpcW8XgCNySpLansmepIY2WFT2bMapai0tJXv225MktTmTPUkNbcBk\nTzO0xMqeJEmAyZ6kBldqxrmox58rVWdpb74wsM0+e5KkNufZk6SGVqrsOfWCqmVlT5KkzGRPUkOz\nGadmakmPyZ4kSWCyJ6nBDe5sxmmyp+pY2ZMkKTPZk9TQdhTJ3uLurjpHomaxpOizt33YPnuSpPZm\nsiepoe3ss+cALapSb1cn3Z3BNit7kqQ259mTpIbmPHuajSW9Xeww2ZMktTmTPUkNrTT1gqNxaiaW\n9HQ59YIkqe3ZCUZSQxsYGaO7M+ju9NqUqre0t4tv/vIufvybTQCsWd7HV19/JL1dXjSQJLUPkz1J\nDW1gZMyqnmbszc89cGeid/Om7Vzxu83ct22YfXZbVOfIJElaOCZ7khra4MiY/fU0Y79/2N78/mF7\nA3D+Veu54nebd/b/lCSpXdguSlJD2zE8xmLn2NMc9Hbl/+qGRsfrHIkkSQvLZE9SQxsYthmn5qb0\n+bGyJ0lqNyZ7khrawMgYi6zsaQ6s7EmS2pXJnqSGZp89zVWvlT1JUpsy2ZPU0AZM9jRHVvYkSe3K\nZE9SQxsYHqPPZpyaA/vsSZLalcmepIY2ODJuZU9zYmVPktSuTPYkNTSbcWquSpW9ISt7kqQ246Tq\nkhrOyNg437jmLnYMj7FtcNR59jQnvd1W9iRJ7clkT1LD+b+b7+O0r1yz8+99Vy6uYzRqdn1d9tmT\nJLUnkz1JDefuLQMAfP2NT2PtbotYtbS3zhGpmXV3BhFW9iRJ7cdkT1LD2dg/BMDBey2jt8smnJqb\niKCvq9PKniSp7ThAi6SGs2HrILst7jbRU830dndY2ZMktR2TPUkNZ2P/EGuW9dU7DLUQK3uSpHZk\nsiep4WzYOsTq5fbTU+1Y2ZMktSOTPUkNZ1P/IHsuM9lT7VjZkyS1I5M9SQ1lfDyxadsQa5bbjFO1\nY2VPktSOTPYkNZT7dwwzMpZYbWVPNdTX1cnQiMmeJKm9mOxJaigbt+ZpF1Y7QItqqLe7g8FRm3FK\nktqLyZ6khlJK9tY4QItqqNfKniSpDZnsSWooG/oHASt7qi0re5KkdmSyJ6mhbCo147Sypxqyz54k\nqR2Z7ElqKBv7B1ne10Vfd2e9Q1ELyaNxWtmTJLUXkz1JDWVD/xCrnXZBNWZlT5LUjkz2JDWUjVsH\nHZxFNWefPUlSOzLZk9RQNvQPOTiLaq6vq5ORscTYeKp3KJIkLRiTPUkNI6XEpq1DTqiumuvtzv/d\n2W9PktROTPYkNYwtAyMMj43bZ08119dVJHv225MktZG6JHsRsVtEfDUiboiIX0fEkRGxMiK+FxG/\nKe53r0dskupnQ38x7YKVPdVYbzG6q/32JEntpF6VvY8BF6aUHgU8Dvg18Hbg4pTSgcDFxd+S2sjG\nrXlC9TVW9lRjfd1W9iRJ7WfBk72IWAE8E/gMQEppOKX0AHAccG6x2bnAixc6Nkn1tdHKnuZJX5eV\nPUlS++mqwzEfDmwCzo6IxwE/B94MrEkp3V1scw+wpg6xSU3l9vt28MMbN9Y7jJr56c33ArDaqRdU\nY6UBWs77xXr22W3zrPezuKeTP3rCWro67fIuSWp89Uj2uoAnAqemlC6PiI8xoclmSilFRMXxsSPi\nFOAUgP3222++Y5Ua2jvOu5b//e299Q6jpvZftZjFPfX4aVIrW7vbYjo7gk9desuc97XPbot42gF7\n1CAqSZLmVz3OqO4E7kwpXV78/VVysrchIvZOKd0dEXsDFcsVKaVPA58GOOKII5wwSW1rQ/8gP7n5\nXv7iWY/klGc+ot7h1MyS3s56h6AWdPBey7jm3ccwPDr7Pnvr7x/g2E/8L3dvGaxhZJIkzZ8FT/ZS\nSvdExB0RcXBK6UbgOcD1xe0E4APF/QULHZvUTL5xzV2kBMcfsS8rl/TUOxyp4S3t7YI5tBBeVIzo\nuaHfZE+S1Bzq1VbqVODzEdED3AK8mjxYzFci4jXAbcDxdYpNagrnX72ex+67gkfsubTeoUhtYVFP\nJ8v6uti0dajeoUiSVJW6JHsppauBIyqses5CxyI1o99u3MZ16/v5+xc9pt6hSG1l9bLenVOESJLU\n6BxOTGpCF1y9no6AYx+3d71DkdrK6mV9bOi3sidJag4me1KTSSlxwdV38bQD9mD1MicflxbSmuVW\n9iRJzcNkT2oyv7j9AW7fvIPjHr+23qFIbWf18j429g+RkoNBS5Ian8me1GTOv2o9fd0dPP+QNfUO\nRWo7q5f1MjQ6Tv/AaL1DkSRpWiZ7UhMZGRvnW9fezXMfvYZlfd31DkdqO6uX56bTNuWUJDUDkz2p\nifz4N5vYvH2YF9uEU6qL1cvyRH0bnX5BktQE6jXPnqQZetMXr+K7v7qH3RZ388yD9qx3OFJbWlNU\n9k7+7JV0d87teulfPfdATnzaw2sRliRJFZnsSU3islvuY/9Vi/nrYw6mp8uivFQP61Yt5m3PP3jO\nE6tf9Kt7+PZ195jsSZLmlcme1CSGRsc58hGrOOaQveoditS2IoI3HH3AnPczNp4476r1jI8nOjqi\nBpFJkrQrywNSkxgaHaO3u7PeYUiqgcPWrmDb0Ci33re93qFIklqYyZ7UBFJKDI6M02fzTaklHLJ2\nOQDXrt9S50gkSa3MM0epCQyPjQNY2ZNaxEFrltHT2cGv7uqvdyiSpBZmsic1gcGRItmzsie1hO7O\nDh619zKus7InSZpHnjlKTWBodAywsie1kkPXruC69VtIKdU7FElSizLZk5rAkJU9qeUcus8K+gdH\nuWPzQL1DkSS1KM8cpSZQquz1WdmTWsZha1cADtIiSZo/JntSE7DPntR6DtprKd2dwXV3mexJkuaH\nk6pLTWBoNCd7Vvak1tHb1clBa5bxg19vZI+lvVU9ZklPJy89fF+6Or3wI0mansme1ASGRooBWqzs\nSS3l6Qfuwad+dAvv++b1VT/m4Xss4cmPWDWPUUmSWoXJntQESpU9kz2ptbz9BY/iL486oKptf313\nPy//9GX0D47Oc1SSpFZhsic1gcERB2iRWlFEsGJRd1Xbrl6Wm3puHzLZkyRVxzKB1ASs7Ela2puv\nz24z2ZMkVckzR6kJOKm6pCVFsmdlT5JULZM9qQmUpl7os7Inta1FxcWe7cNjdY5EktQsPHOUmoCV\nPUkdHcGSnk4re5KkqpnsSU3Ayp4kyE05TfYkSdXyzFFqAkOjY3R2hBMpS21uSW+XzTglSVXzzFFq\nAkMj447EKYklvTbjlCRVz7NHqQkMjo45x54klvR0OfWCJKlqJntSE7CyJwlyM84dwyZ7kqTqePYo\nNYGh0XEre5KKAVrssydJqo7JntQEBkfGrOxJYmlvp804JUlV8+xRagJDozbjlASLe5x6QZJUPc8e\npSYwODLmhOqSij57Y4yPp3qHIklqAiZ7UhOwsicJcjNOgB0j9tuTJE3Ps0epCeRkz8qe1O4W93QB\n2JRTklQVkz2pCQyNjNHX7ddVandLe032JEnV8+xRagJW9iRB7rMHOP2CJKkqJntSExi0sicJWNKT\nL/o4/YIkqRqePUpNwMqeJCiv7JnsSZKm11XNRhHRCxwJPAXYB1gE3AvcCFyaUrpl3iKU2tADO4b5\n2i/WMzo+DsDAyBi9VvaktldK9r75y7u45d5tABy+/+4cvv/KeoYlSWpQUyZ7EXEA8BbglcAKYBzY\nAgwAK4E+IEXEz4FPAp9NKY3Pa8RSG/jGNXfx3m9e/5BlD99jSZ2ikdQoVi/vZVlfF+dffRfnX30X\nAAetWcpFf/WsOkcmSWpEkyZ7EfFvwMnAVcB7gUuBa1JKo2XbrCFX+/4A+AjwtxFxYkrp8nmNWmpx\nA8UcWj/7u+eyuKeTjggW9diMU2p3y/u6+fk7n8fIWL6u+o/f/jXfvOauOkclSWpUU1X29gGelFK6\nerINUkobgAuACyLiVOB1wOMAkz1pDoZH84ncbou76e60+aakB/V0ddDTlX8X1u62iP7B0WIQJy8I\nSZIeatJkL6X0RzPZUUppCPj4nCOSxPBYAqCrI+ociaRGtueyXgA29g+x36rFdY5GktRoLBlIDWhk\nbJyezg4iTPYkTW7N8j4ANm4drHMkkqRGNO1onBHxBGA0pXRt8XcH8FLgAOC3wHkppZF5jVJqM8Oj\n43R3muhJmtrqorK3oX+ozpFIkhrRVAO0rAQuAp5Q/P194CXAN4HyYb+uiohnppS2z2egUjsZGRvf\n2SdHkiZTSvas7EmSKpnqbPIdwCOA1wMvA9YC/w08CjgaWAYcC6wDTp3XKKU2MzI27sAskqa1++Ie\nujuDjVut7EmSdjVVM87jgPeklD4NEBF3Aj8FTk0p/ajY5lsR8S/kZPAD8xqp1EaGRk32JE2voyPY\nc2kvG/qt7EmSdjXV2eS+5Dn2Sq4p7q+asN3l5OqepBoZGUv02oxTUhX2XN7HJit7kqQKpjqb3E5u\nqlkyXNxPvHwYVDHQi6TqjVjZk1SlNct62egALZKkCqZK0m4BDgW+BZBSGouIZcCOCdsdCKyfn/Ck\n9jQ8Nk53l6NxSpremuV9XHT9Bh71998BYFF3J1953ZEcuGbZNI+UJLW6qZK9LwC7ly+YZMTNVwL/\nW8ugpHZXmmdPkqZzwlPXsbi3ExL0D47yxStu59r1W0z2JEmTJ3sppY9WuY8XsGvTTklzMGwzTklV\nOmD1Uk5/4aMB2DaUkz1H55QkwdR99qqSUupPKQ1Pv6Wkag07z56kWVja28WSnk778EmSgBkMrBIR\nXcCRwMOAvonrU0pn1TAuqa3ZjFPSbK1e3scGJ1mXJFFlshcRTwTOI0/HUGnUiASY7Ek1MjKabMYp\naVZWL+tlk5U9SRLVV/b+A9gGvBi4gQenYZA0D/JonCZ7kmZu9fI+rr3zgXqHIUlqANUme48Bjk8p\nfXs+g5GUDY/ajFPS7Kxe1suG/iFSSkQ4hYsktbNqzyZvApbMZyCSHjQyNk6P8+xJmoXVy3oZGBlj\n29BovUORJNVZtcneO4B3RsR+8xmMpGxkzKkXJM3OmuV5DDWnX5AkVdWMM6V0YUQcBfwmIm4C7t91\nk/SsWgcntSubcUqardXLegHY0D/II/dcWudoJEn1VO1onG8H/gbYBPQDY/MZlNTuRsaSA7RImpXV\ny3Oy95Wf3cE1d2wB4An77cZTHrGqnmFJkuqg2gFa3gJ8CnhjSslET5pHKaU8GqeVPUmzsHa3xeyx\ntIfzr74LuAuAvZb3cdk7nlPfwCRJC67aZG8x8N8metL8GxlLAPRa2ZM0C4t6Orns9OcwOp5/S87+\nya3804U3sGnrEHsWTTwlSe2h2rPJ7wBHzmcgkrKRsXEAujsdjVPS7HR1dtDX3UlfdyePf9huAFx3\n15Y6RyVJWmjVVvY+CpxTzNdzIbsO0EJK6ZYaxiW1rQeTPSt7kubukLXLAbjuzi0cffDqOkcjSVpI\n1SZ7Pynu3we8d5JtOucejqTh0Zzs9diMU1INLO/rZt2qxVb2JKkNVZvsnQSk+QxEUjZsZU9SjR26\ndgVX3f5AvcOQJC2wSZO9iOhJKQ0DpJTOWbCIpDZXGqDFefYk1cpha1fwzV/ezebtw6xc0lPvcCRJ\nC2Sqs8l7I+IrEfGKiFi+YBFJbc5mnJJq7dC1KwC4br1NOSWpnUx1NnkKefL0fwc2RcRFEfH6iNhn\nYUKT2pMDtEiqtUP3ycnetSZ7ktRWJj2bTCl9KaX0CmBP4DjgZuCdwB0RcUVEvCMiHrNAcUptY9ip\nFyTV2IrF3Txs5SJ+5SAtktRWpi0dpJRGUkoXppRen1JaCzwNuBh4FXBdRNwYER+MCOfhk2rAZpyS\n5sNha1dY2ZOkNjPjs8mU0mUppdNTSo8GHgOcDTwD+HGtg5PaUakZpwO0SKqlQ9eu4I7NA2zZMVLv\nUCRJC2ROZ5MppRtSSh9IKR0J7FujmKS2Zp89SfOh1G/P+fYkqX1UNc9eRDxzitXjwBbghppEJLW5\nUjNOkz1JtVQ+IufTDtijztFIkhZCtZOqX8L0k6rviIiPp5T+bm4hSe1tuDTPnn32JNXQyiU9rN1t\nkf32JKmNVJvsHQf8K3AN8FVgA7AGOB54LPD3wJOAv4mI+1NKH56HWKW2MDJqnz1J8+PQtcv51V39\n9Q5DkrRAqk32XgxcmFL6iwnLPxcRnwKOTim9OiLGgdcAJnvSLO2ceqHLqRck1dZha1fw3V9toH9w\nhOV93fUOR5I0z6otHfwR8D+TrPsqufIHcCHw8LkGJbUzR+OUNF8OKfrtXW91T5LaQrVnk53AIydZ\nd0CxHmCouEmapZ0DtNhnT1KN7RyR0357ktQWqj2b/Dbw/oj444joBIiIzoh4KfCPwLeK7Q4Bbq59\nmFL7GLayJ2me7Lmsl72W9zlIiyS1iWr77J0KnAf8NzAaEfcDuxeP/0mxHvIUDO+vdZBSOxkZzaNx\nOvWCpPlw6NoVVvYkqU1UleyllO4FnhERxwBPBvYG7gYuSyl9r2y7c+clSqmNjIyN09kRdHY4QIuk\n2jts7QouvmED24ZGWdpb7TVfSVIzmtGvfErpIuCieYpFalvfufZubt60DYArfreZ7k4TPUnz49C1\ny0kJfn13P7+3bmW9w5EkzSMv6UkN4M1funpnXz3IV94laT4cuHoZAL+7d7vJniS1uKqSvWL+vDTV\nNimlzqnWS6psbDwxPDbOm55zIKc++wAAOsPKnqT50ded+wOPlF1gkiS1pmore+9l12RvFXAM0Auc\nU8OYpLZSOuFa1N3poCyS5l3pd6Y0zYskqXVVO0DLGZWWF9MwfIM8CqekWSg137SfnqSFUJrD08qe\nJLW+OZURUkpjwCeBt9QmHKn9jBRX13ucRF3SAihdWBoZm7J3hiSpBdTi7LIXsIe3NEtOoi5pIZV+\na4ZsxilJLa/aAVr2q7C4BzgU+ABwZS2DktqJk6hLWkgRQXdn2IxTktpAtQO03Erl0TgDuBl4Q60C\nktrNzj57NuOUtEC6Ozt2NiGXJLWuapO9k9g12RsEbgN+VvTdkzQLpRHxehygRdIC6enqsLInSW2g\n2tE4z5nnOKS2VTrhcoAWSQulu7NjZ6sCSVLr8uxSqrORnVMv+HWUtDB6OjsYHnU0TklqdZOeXUbE\n1yPiCdXuKCL6IuK0iPiL2oQmtYdSM06TPUkLxWacktQepjq7vBW4LCIuj4g3RcQTI+IhzT4jYp+I\neHFEfAa4G3gN8Iv5C1dqPcM245S0wByNU5Law6R99lJKb4qIj5EnTD8DWAGkiOgHhoDdyNMvBHBF\nsd1/OViLNDOliY2dZ0/SQunu7NjZqkCS1LqmHKAlpXQzcGpEvBU4EngysA/QB9wH3ABcmlK6bb4D\nlVqVffYkLTQHaJGk9lDtaJzDwI+Km6Qa2jn1gs04JS0Q++xJUnvw7FKqs52TqjvPnqQF0mMzTklq\nCyZ7Up3tnGfPZpySFkgeoMWpFySp1Xl2KdWZUy9IWmg245Sk9lBVn71ai4hbga3AGDCaUjoiIlYC\nXwbWkad9OD6ldH894pMW0ohTL0haYA7QIkntoZ5nl0enlB6fUjqi+PvtwMUppQOBi4u/pZZXakpl\nZU/SQrHPniS1h5qcXUbEnjXYzXHAucW/zwVeXIN9Sg1vaNQBWiQtrO5Om3FKUjuYNNmLiEsi4pHT\n7SAiTgSun+FxE3BRRPw8Ik4plq1JKd1d/PseYM0M9yk1pZGxcXo6O4gw2ZO0MHKfPQdokaRWN1Vl\n7xHALyPir6PCWWhErIuIi4CzgEtneNynp5SeCLwQeENEPLN8ZUopkRPCXUTEKRFxZURcuWnTphke\nVmo8I6PjVvUkLajuzg5GbMYpSS1vqmTvMcBngX8CLouIQwEiOw24FjgEeGlK6Y9nctCU0vrifiNw\nHvAkYENE7F0cY29g4ySP/XRK6YiU0hF77lmL1qNSfY2MjdPt4CySFlB3VzBkM05JanmTnmGmlLal\nlF4PPBtYCVwZER8CLgc+DHwJeExK6WszOWBELImIZaV/A8cA1wFfB04oNjsBuGCGz0VqSsNFM05J\nWii9RZ+93JBGktSqpp16IaX0o4g4Avg58FZgHHhJSun8WR5zDXBe0TK0C/hCSunCiPgZ8JWIeA1w\nG3D8LPcvNZXh0eRInJIWVHdnBynB2Hiiy2bkktSypk32IuJJwGeA/cnVvBcBn4iI8ZTS12d6wJTS\nLcDjKiy/D3jOTPcnNbuRsXHn2JO0oEpNx4fHxunyYpMktaypRuPsi4gPAz8hV/OOTCn9KXAYudnl\neRHx5YhYvTChSq1p2AFaJC2wUtPxkVGbcUpSK5vqct61wBuB9wKHp5SuBEgp3ZZSegFwErkS9+uI\nOGHy3UiaipU9SQutvLInSWpdU51hbgKekFJ6X0ppdOLKlNK55BE7f0CefkHSLAyPjdtnT9KC6ila\nEzixuiS1tqn67D0tTTNMVzF1wp9ExHG1DUtqH7kZp8mepIVT+s0Zdq49SWppU029UFVD/ohYR4UB\nVyRVZ2RsnF6bcUpaQKWm41b2JKm1zeoMMyKWRsRJEfEj4LfAu2sbltQ+RsacekHSwtpZ2TPZk6SW\nVvUZZmTHRMTngXuAM4EDgQ8Bj5qn+KSWNzLmaJySFlaPzTglqS1UM8/eY4ATgFcCewPDwHeBY4GX\np5QundcIpRY3PDpOT1dnvcOQ1EYebMbp1AuS1MomTfYi4lTgz4EnAgH8H3kahi8Xf29eiAClVjds\nZU/SAis147TPniS1tqkqex8DEvBt4C0ppZtLKyJixXwHJrWLkbHxnU2qJGkhlC4w2WdPklrbVGeY\nF5OTvd8HzouIv46I/9/encfJVZf5Hv8+Xb1UOt1ZyAYkJBACgRDWQBIREJFNRcExKENYk4CK3usG\n4zjjqKMwMyIz6lzlKiSBRIIwLC5XVBYNq5IQVpOwhBCWBOgsZOklXd1V/dw/zunYFL1Ud1f3qTr1\neb9e9eruU2d5qn7p9Hnq+S37DE5YQOlg6QUAg629Gydj9gAg3rpbeuE0SZMkfUNShaRrJb1uZn+Q\n9PcKEkEA/dSa8T03P/e8nwAAIABJREFUXgAwGCrpxgkAJaHbO0x33+Tu/+7uh0p6n4IZOI+TdH24\ny5fM7IQBjhGItWDMHskegMHDmD0AKA0532G6+wp3v0LBjJyfknSPpLMkPWRmLw5QfECsuXswGycT\ntAAYRBXts3Gm6aQDAHHW63KCu7e4+53u/nFJ4yVdKakp75EBJSDdFtxo0Y0TwGBq78aZorIHALHW\nrztMd9/i7j9w96PzFRBQStq7UNGNE8Bg2jNmjwlaACDWultn75RenMfdfXke4gFKSnsXKpI9AIOp\nojzoOs6YPQCIt+7W2XtAf5txs6sBRR4+55ISeYwLiK033mnSHU9ulLurqSUjiW6cAAZXe2WPpRcA\nIN66S/YkqV7SXeGjceDDAeJv2YrX9dOH1qss/AilqrxMk8cMjTYoACUlUWaqrkxoW2NL1KEAAAZQ\nd8neyZIuljRH0rmSfilpibv/aRDiAmJrd0taw4dU6NlvnR51KABKlJlp2j7DtHrTzqhDAQAMoO4W\nVX/Y3edLGifps5LGSrrXzF43s383s0MHK0ggTlLpNlXRbRNAxKaPH661b+1Spo3lFwAgrnq843T3\nZne/1d0/LGmipB9J+oik1Wb244EOEIibVLpNVRUkewCiNX38cDW1ZLRha0PUoQAABkhv7zi3SXo1\nfLikkXmOB4i95taMkuXMZwQgWoePHy5J+itdOQEgtnJK9szs/Wb2U0lvSVoiqUHSRyVdOICxAbFE\nZQ9AIThwzFAlK8q0etOuqEMBAAyQ7tbZm6IgmbtA0v6SHpZ0paQ73J0+H0AfUdkDUAjKE2U6dJ9h\nVPYAIMa6m43zJUm7JN0taYGk18LtY81sbPbO7v5K/sMD4ieVblOSyh6AAnD4+OG6+6lNamtzlZV1\ntaQuAKBY9bTO3jBJlyhYgqEnlCqAHDS3ZjRiSEXUYQCApu87XEv/8ppe3daoyWNqog4HAJBn3SV7\nlw5aFEAJYcwegEIxvcMkLSR7ABA/XSZ77r6kryc1s4mS3nT3dF/PAcQVY/YAFIqDxtWosrxMqzft\n1NlHjY86HABAnuW9vGBmCUkbJB2R73MDcUBlD0ChqEiU6dC9a5mREwBiaqDuOBnlDXQh1ZpRFZU9\nAAVi+vjhWv3mTrl71KEAAPKM8gIwyJqp7AEoINPHD1d9c1qvv9MUdSgAgDzjjhMYRO6ulnQblT0A\nBePwDpO0AADihWQPGESpdJsksc4egIJx8LhaVSSMZA8AYog7TmAQpVqDZI/KHoBCUVlepql712oN\nk7QAQOyQ7AGDqDmdkURlD0BhOXz8cP11E5O0AEDccMcJDCIqewAK0fTxw7Vzd6s2bt8ddSgAgDzK\ne7Ln7hlJH5T0Yr7PDRQ7KnsACtH0fYNJWlYzbg8AYqW8px3M7ChJZ0uaJmmvcPM7ktZK+o27P519\njLs/lM8ggbigsgegEE3du1blZcEkLR8+fJ+owwEA5EmX5QUzS5rZLyQ9KenrkqZLSoaP6ZL+UdIq\nM7vNzJKDESxQ7FJhZa+qnMoegMKRrEjooHG1zMgJADHTXWXvGklnSLpE0v+4e6rjk2ZWJelcST8K\n9/3qAMUIxEZza/vSC1T2ABSWw8cP0+9Xv63v/eGFqENBaExNlS59//4ys6hDAVCkukv2zpd0pbv/\nvLMnw+TvljDpu1oke0CPqOwBKFSnHDJO/+/Zt7TokQ1RhwJJGXdl2lynHjpOE0dVRx0OgCLVXbI3\nXFIu/+NvCPcF0AMqewAK1ZnT99aZ08+MOgyEHn5piy5avFJ19c0kewD6rLvywtOSvmBmXd6VmlmZ\npM+H+wLoAZU9AEAuxg6rkiTV7WqOOBIAxay7yt7XJN0naa2Z3S5pjaTt4XMjJR0m6VOSJko6fSCD\nBOKCyh4AIBdja4O57zbvSvWwJwB0rctkz90fNbPZkv5V0pUKZuHsKCXpD5I+7e7PDlyIQHxQ2QMA\n5GJkdYUqEqbN9SR7APqu23X23P05SZ8ws3JJB+pv6+xtl7Te3VsHOD4gVqjsAQByYWYaW5vUZrpx\nAuiHHhdVlyR3T0t6cYBjAWKvvbJXSWUPANCDscOqqOwB6Jd+33Ga2WgzOykfwQBxl0q3qSJhSpSx\nZhIAoHtja6uYoAVAv+SjvPABScvzcB4g9ppbM0qW04UTANCzccOSVPYA9At9yYBBlEq3qaqCXzsA\nQM/G1lZp5+5WNbdmog4FQJHqcsyemS3O8RyT8hQLEGvurqZUWlVU9gAAOWhffmHj9iZNGBksrM4E\nXwB6o7sJWi6RtFNSQw/nGJK3aIAYm3fzE1r+4hYdNLYm6lAAAEVg7+FBsnfqfz28Z9vnTj5QXzvz\nkKhCAlBkukv2Xpd0n7tf3t0JzGyOpNvzGhUQM5vrm/XgS1t02rRxWnDCAVGHAwAoArMnj9J3zj5M\njamgG+dNj23Qy5t7+gweAP6mu2RvlaRjcziH5ykWILYeWLtZ7tKVp0/V1L1row4HAFAEKsvLdNH7\n9t/z8x/WvK1Uui26gAAUne5miviNpK05nGOtpO/kJxwgnu5d87YmjarWwePowgkA6JtkeRmTtQDo\nlS6TPXdf6u6n93QCd3/e3f81v2EB8VHf3Ko/r9+q06eNkxnr6wEA+qaqIkFlD0CvMAc8MMCWv7hF\nrRnXGYftHXUoAIAiVlVephSVPQC9QLIHDLD71ryt0TWVOnriyKhDAQAUsSSVPQC91N06e6/34jzu\n7qy3B2RJpTN68MUt+tiR+yhRRhdOAEDfUdkD0FvdzcY5QdIuSfdKahqccIB4+fP6bWpIpXX6NLpw\nAgD6J1lRpmYqewB6obtkb4mkT0o6U9Ldkpa6+/JBiQqIifvWvK2hlQkdP2VU1KEAAIpcVXmCyh6A\nXuluNs5LJY2T9HlJ+0q638xeNbOrzezgwQoQKFaZNtf9a+t08iFjVVWeiDocAECRo7IHoLe6naDF\n3Xe7+y3ufoakiZKul3S2pOfN7HEz++RgBAkUo6df366tDS3MwgkAyIuq8oQyba50hoQPQG5yno3T\n3d9092slzZD075KOlTR3oAIDit19a+tUkTCdPHVM1KEAAGIgWRHctlHdA5Cr7sbsvYuZzZZ0kaRP\nSRoi6Q5JPx6guICi5u66d83bOv7A0RqWrIg6HABADLQPCUi1ZlRTlfMtHIAS1u3/FGY2WdIF4eNA\nSY9K+pqkO9x918CHBxSnl+oa9Nq2Jl1+0uSoQwEAxASVPQC91d06e49Kep+klyUtlXSLu786SHEB\nRe3eNW/LTDpt2rioQwEAxETHyh4A5KK7yt7xCtbZq5N0uqTTzbpcFNrd/QN5jg0oWvetfVtH7zdC\nY2uTUYcCAIiJPZW9Vip7AHLT3QQtD0t6WlImhwf/6wChjdubtHrTLp3OLJwAgDzaU9lLU9kDkJsu\nK3vufvIgxgHExv1r6ySJJRcAAHlVRWUPQC/ltPSCmY02M/qjATm4d83bOmhsjQ4YPTTqUAAAMUJl\nD0BvdZnsmVnCzL5tZtsVjNvbZWZ3mdmIwQsPKC7bG1u0csM7VPUAAHnHmD0AvdXdBC2flfRNSQ9K\nekLSZEmfUDBpy6UDHhlQhB54vk5tLp1+GLNwAgDyi8oegN7qLtm7TNKN7v6Z9g1m9hlJPzazz7h7\ny4BHBxSZ+9bWaZ/hSR0+fnjUoQAAYqaqPKjspajsAchRd2P2Jku6I2vb7ZISkiYNWERAkUpn2vTI\nui06bdo4dbNMCQAAfZKsoLIHoHe6S/ZqFHTZ7Kg+/Fo7MOEAxasxlVFza5v2H8XELACA/GufjTOV\nprIHIDfddeOUpPFmNrnDz4kO23d03NHdX8lrZECRaWhJS5KGViV62BMAgN5LhmP2mlup7AHITU/J\n3p1dbP9VJ9u4w0VJa0y1J3s9/VoBANB7FQmTGZU9ALnr7q6UGTeBXiDZAwAMJDNTsjxBZQ9Azrq8\nK3X3JYMZCFDsGlPBH9+hlSR7AICBUVVRRmUPQM66m6AFQC80pBizBwAYWFT2APQGyR6QJ03hBC01\ndOMEAAwQKnsAeoNkD8iT9jF71XTjBAAMECp7AHqDZA/Ik4ZwzB6VPQDAQKGyB6A3SPaAPGlqSavM\npGQFv1YAgIFBZQ9Ab1CCAPKkIZXW0MpymVnUoQAAYqqqokwvvl2v7/52bafPf+TwfTRj0shBjgpA\noSLZA/KkMZVmjT0AwIA6ZuJIPf36Dt3+xBvvea4l06ZlK17TkktnatbkURFEB6DQcGcK5EljS4Zl\nFwAAA+rLpx2sL592cKfPbW1I6bwbHte8m5/QLQtm6eiJVPiAUsfgIiBPqOwBAKI0uqZKyxbM0uja\nKl28eKXWvLkz6pAARIxkD8iTxnDMHgAAURk3LKllC2appqpcFy5aqXV19VGHBCBCJHtAnjSmMlT2\nAACRmzCyWrdeNlvlZabzF67Qhq2NUYcEICIke0CeNLakGbMHACgI+48eqmULZinT5pp74+PauL0p\n6pAARIBkD8gTxuwBAArJQeNq9fP5M9WQSuv8G1eobldz1CEBGGQke0CeNKYyqiHZAwAUkMP2Ha4l\n82ZqW0NK59/4uLY2pKIOCcAgItkD8iDT5trdmlF1Jd04AQCF5eiJI7X4kuO0acduXbhopXY0tUQd\nEoBBQrIH5EFjS1qSqOwBAArSrMmjdONFx2r95gZdvHil6ptbow4JwCAg2QP6YVdzq3bubtXmcBwE\nY/YAAIXqxIPG6Pq5x2jNm7s07+Yn1BR+UAkgvrgzBfroZw+t17///oV3bRuWrIgoGgAAenbqtHH6\n4XlH6X//4mldvvRJLbz4WCUrGIIAxBXJHtBHG7Y2qraqXF867WBJUlV5mU45ZGzEUQEA0L2zjthX\nqdY2ffWOZ3XFsqf00wtmqLKczl5AHJHsAX2USrdpxNAKzT/hgKhDAQCgVz45Y4Ka0xn98y9X60u3\nP63/Pu9olSdI+IC4IdkD+qi5NaNkOV1fAADFae6sSdrdktHV9zyvZPlzuu7cI1VWZlGHBSCPSPaA\nPkql21RVwaegAIDiteDEyWpuzei6+15SVUVC//aJ6TIj4QPigmQP6CMqewCAOPjCKQdpd2tGP1m+\nXsmKMn3zrGkkfEBMkOwBfZRKtylJZQ8AEANXnj5Vu1vatPixDaquTOiqMw6JOiQAeUCyB/RRKp3R\n8CEstQAAKH5mpn8569A9Fb4hFQl94ZSDog4LQD9FluyZWULSKkmb3P0sMztA0m2SRkl6UtKF7t4S\nVXxAT5pbqewBAOLDzHTNOdOVCsfwJSsSWnDi5KjDAtAPUd6pflHS8x1+/p6kH7j7FEnbJc2PJCog\nR6l0RlWM2QMAxEhZmenaOUfoI4fvravveV63PP5a1CEB6IdIkj0zmyDpo5IWhj+bpFMk3RnuskTS\nOVHEBuSKyh4AII7KE2X64aeP1ocOGatv/Gq17nxyY9QhAeijqO5UfyjpHyS1hT+PkrTD3dPhzxsl\njY8iMCBXqVYqewCAeKosL9NP5h6jE6aM1j/c+ax++9ybUYcEoA8GPdkzs7MkbXb3J/t4/OVmtsrM\nVm3ZsiXP0QG5a2adPQBAjCUrErrhohmaMWmkvnTbM3pgbV3UIQHopSjuVN8v6eNm9qqCCVlOkfQj\nSSPMrH3CmAmSNnV2sLvf4O7HuvuxY8aMGYx4gfdwd7Wk26jsAQBirbqyXIsvOU6H7TtMVyx7So+s\n44N2oJgMerLn7l939wnuvr+k8yT9yd3nSlouaU6428WSfj3YsQG5SqWDHsiM2QMAxF1tskJL5s3U\ngWNrdNnSVVrxyraoQwKQo0K6U/2apK+Y2csKxvAtijgeoEup1iDZo7IHACgFI6or9fP5MzV+xBDN\nu/kJPf369qhDApCDSJM9d3/Q3c8Kv3/F3We6+xR3P9fdU1HGBnQnlc5IkqrKC+nzEgAABs7omird\netlsja6t0sWLV2rNmzujDglAD7hTBfqgubW9GyeVPQBA6Rg3LKllC2appqpcFy5aqXV19VGHBKAb\nJHtAH1DZAwCUqgkjq3XrZbNVXmY6f+EKbdjaGHVIALrAnSrQB1T2AAClbP/RQ7VswSxl2lxzb3xc\nG7c3RR0SgE6Q7AF9QGUPAFDqDhpXq6XzZqohldbchStUt6s56pAAZOFOFegDKnsAAEjTxw/Xknkz\ntbU+pfNvfFxbG5hfDygkJHtAH1DZAwAgcPTEkVp8yXHatGO3Lly0UjuaWqIOCUCIO1WgD6jsAQDw\nN7Mmj9KNFx2r9ZsbdPHilapvbo06JAAi2QP6hMoeAADvduJBY3T93GO05s1dmn/zKjW1pKMOCSh5\n3KkCfZBKB5W9qgp+hQAAaHfqtHH64XlHadVr7+jypU+quTUTdUhASeNOFeiD9j9eyXK6cQIA0NFZ\nR+yr7885Uo++vFVXLHtKLeEHpAAGH8ke0AdU9gAA6NonZ0zQ1edM159e2Kwv3f600hkSPiAK5VEH\nABSj9speFZU9AAA6dcHsSWpuzejqe55Xsvw5XXfukSors6jDAkoKyR7QB6l0myoSpgR/tAAA6NKC\nEyeruTWj6+57SVUVCf3bJ6bLjL+dwGAh2QP6oLk1w3g9AABy8IVTDtLu1ox+sny9khVl+uZZ00j4\ngEFCsgf0QSrdxng9AABydOXpU9XUktFNj72q6sqErjrjkKhDAkoCyR7QB82tGcbrAQCQIzPTN8+a\npubWNv1k+XoNqUjoC6ccFHVYQOyR7AF9QGUPAIDeMTNdc850pcIxfMmKhBacODnqsIBYI9kDclC3\nq1k/fWi9WsOpo599Y4dqkxURRwUAQHEpKzNdO+cINafDWTorErpg9qSowwJii2QPyMF9a97WTY+9\nqpHVFSoLB5WfNm1cxFEBAFB8yhNl+uGnj1Zz65P6xq9Wa0hFQp+cMSHqsIBYItkDclCfSkuS/vyP\nH9KQSsbqAQDQH5XlZbp+7jFasGSVrrrzWSUrEvroEftEHRYQOww6AnLQlMqozKQk4/QAAMiLZEVC\nN1w0QzMmjdQXb3taD6ytizokIHa4cwVy0JBKa2hlOesCAQCQR9WV5Vp8yXE6bN9humLZU3pk3Zao\nQwJihWQPyEFjKq2hVfR6BgAg32qTFVoyb6Ymjxmqy5au0opXtkUdEhAbJHtADhpb0hpaxVg9AAAG\nwojqSt2yYJbGjxiieTc/oadf3x51SEAskOwBOWhIZVRDZQ8AgAEzuqZKt142W6Nrq3Tx4pVa8+bO\nqEMCih7JHpADunECADDwxg1LatmCWaqpKteFi1ZqXV191CEBRY1kD8hBYyqt6kqSPQAABtqEkdW6\n9bLZSpSZ5i5coVe3NkYdElC0SPaAHDS2pFXDmD0AAAbF/qOH6tYFs5Ruc81duEIbtzdFHRJQlEj2\ngBw0pjJ04wQAYBAdNK5WS+fNVH1zq+YuXKG6Xc1RhwQUHZI9IAcNqTQTtAAAMMimjx+uJfNmamt9\nSnMXrtC2hlTUIQFFhWQP6EFrpk0t6TYqewAARODoiSO1+JLjtHF7ky5YtFI7m1qjDgkoGiR7QA8a\nU2lJItkDACAisyaP0g0XHqv1mxt00U0rVd9MwgfkgmQP6EFjS0aSmKAFAIAInXTwGF0/9xit2bRT\n829epaaWdNQhAQWPZA/oQXtlj6UXAACI1qnTxumH5x2lVa+9o8uXPqnm1kzUIQEFjWQP6EFDmOwx\nQQsAANE764h9de2cI/Xoy1v1+WVPqSXdFnVIQMEi2QN6wJg9AAAKy5wZE3T1OdP1xxc268u3P6N0\nhoQP6Ax3r0AP/pbsMWYPAIBCccHsSWpuzejqe55XVXmZrjv3SJWVWdRhAQWFZA/oQUOqfYIWfl0A\nACgkC06crN0tGf3n/S8pWZnQNedMlxkJH9COu1egB3TjBACgcH3hlCna3ZrR9Q+uV7I8oX8561AS\nPiDE3SvQg8ZwauehzMYJAEDBMTNddcZU7W7NaPFjG1RdmdCVZ0yNOiygIHD3CnRiyZ9f1Qtv75Ik\nPbdxp8pMSlYwnxEAAIXIzPTNs6apubVNP17+spIVZfrCKQdFHRYQOZI9IIu76+p71qoyUban6+YH\np46lSwgAAAXMzHTNOdPV3JrRdfe9pCGV5Zp/wgFRhwVEimQPyNKSaVNrxvWlU6fo8x+cEnU4AAAg\nR2Vlpu/POULNrRl997drlawo09xZk6IOC4gM/dKALI3h7JtDK1lqAQCAYlOeKNOPzjtapxwyVt/4\n1Wrd9eTGqEMCIkOyB2Rh9k0AAIpbZXmZrp97jN5/4Ghddeezuue5t6IOCYgEyR6QpX32TdbVAwCg\neCUrErrhohmaMWmkvnjb03pgbV3UIQGDjmQPyNJe2asm2QMAoKhVV5Zr8SXH6bB9h+mKZU/pkXVb\nog4JGFQke0CWhnDMXk0VY/YAACh2tckKLZk3U5PHDNVlS1dpxSvbog4JGDQke0CWJsbsAQAQKyOq\nK3XLglkaP2KI5t38hJ5+fXvUIQGDgmQPyNLQnuxVkuwBABAXo2uqtGzBbI2qqdLFi1dqzZs7ow4J\nGHAke0AWZuMEACCe9h6e1LIFs1RTVa4LF63Uurr6qEMCBhTJHpClsSVcZ48xewAAxM5+e1Vr2WWz\nlSgzzV24Qq9ubYw6JGDAkOwBWRpTaZWXmSoT/HoAABBHB4weqlsXzFK6zTV34Qpt3N4UdUjAgOBu\nFsjSmEpraFW5zCzqUAAAwAA5aFytls6bqfrmVs1duEJ1u5qjDgnIO5I9IEtjS4YF1QEAKAHTxw/X\nzfNmamt9SnMXrtC2hlTUIQF5RbIHZGlMpVVdyXg9AABKwTETR2rRJcdp4/YmXbBopXY2tUYdEpA3\nJHtAloawGycAACgNsyeP0g0XHqv1mxt00U0rVd9Mwod4INkDsjTRjRMAgJJz0sFj9JO5x2jNpp2a\nf/MqNbWkow4J6DeSPSAL3TgBAChNp00bpx98+iiteu0dfebnT6q5NRN1SEC/kOwBWRpSaSp7AACU\nqI8dua+unXOkHlm3VZ9f9pRa0m1RhwT0GckekKWpJcOYPQAASticGRN09TnT9ccXNuvLtz+jdIaE\nD8WJO1ogS0MqreoqunECAFDKLpg9Sc2tGV19z/OqKi/TdeceqbIy1uBFcSHZAzpozbSpJd2mmkp+\nNQAAKHULTpys3S0Z/ef9LylZmdA150yXGQkfigd3tCh5L2+u16JHNyjT5mrNuCTRjRMAAEiSvnDK\nFO1uzej6B9crWZ7Qv5x1KAkfigZ3tCh5v3nmTf1i5RvaZ3hSkjRxr2odud+IiKMCAACFwMx01RlT\ntbs1o8WPbVB1ZUJXnjE16rCAnJDsoeTtbs1oSEVCf/n6h6IOBQAAFCAz0zfPmqbm1ox+vPxlDalM\n6PMfnBJ1WECPSPZQ8lLpNiUrmJgWAAB0zcx09TmHq7m1Td+/90UlKxKaf8IBUYcFdItkDyWvuTWj\nqnJm3wQAAN1LlJm+P+cINbdm9N3frlWyokxzZ02KOiygS5QzUPKo7AEAgFyVJ8r0o/OO1imHjNU3\nfrVadz25MeqQgC5xh4uSR2UPAAD0RmV5ma6fe4yOP3CUrrrzWd3z3FtRhwR0imQPJY/KHgAA6K1k\nRUI3XnSsZkwaqS/e9rT++Hxd1CEB78EdLkoelT0AANAX1ZXlWnzJcTps32H63C1P6ZF1W6IOCXgX\nkj2UvFS6TVVU9gAAQB/UJiu0ZN5MTR4zVJctXaUVr2yLOiRgD+5wUfKaW9uo7AEAgD4bUV2pWxbM\n0vgRQzTv5if0zBs7og4JkESyByiVzjBmDwAA9MvomiotWzBbo2qqdNGiFVrz5s6oQwJI9oBUa5uS\nFVT2AABA/+w9PKllC2appqpcFy5aqXV19VGHhBJHsoeSl0pnVFXOrwIAAOi//faq1rLLZitRZpq7\ncIVe3doYdUgoYdzhouQ1U9kDAAB5dMDooVq2YJZaM22au3CFNm5vijoklCiSPZS8YOkFfhUAAED+\nHDyuVj+fP0u7mls1d+EK1e1qjjoklCDucFHS0pk2pducyh4AAMi76eOHa8m8mdpan9LchSu0rSEV\ndUgoMSR7KGmpdJskUdkDAAAD4piJI7XokuO0cXuTLli0UjubWqMOCSWEO1yUtPZkj8oeAAAYKLMn\nj9INFx6r9ZsbdNFNK1XfTMKHwUGyh5LW3JqRRGUPAAAMrJMOHqOfzD1Gazbt1PybV2l3SybqkFAC\nuMNFSaOyBwAABstp08bpB58+Sqtee0eX/3zVng+dgYFCsoeSRmUPAAAMpo8dua+unXOkHlm3VZ9f\n9pRawg+egYHAHS5KGpU9AAAw2ObMmKDvnjNdf3xhs758+zNKZ0j4MDDKow4AiBKVPQAAEIULZ09S\nqjWjq+95XlsaUpowckjUIaET5WWmz37gQE0eUxN1KH1CsoeStmfpBSp7AABgkC04cbLcpZ8//pre\n3LE76nDQiY3bd2vv4UP0ldMOjjqUPiHZQ0mjsgcAAKJ02UmTddlJk6MOA1049ur7taW+Oeow+ow7\nXJQ0xuwBAACgK2Nrk9q8KxV1GH1GsoeSRmUPAAAAXRk7rEp1VPaA4kRlDwAAAF0ZW1tFZQ8oVqn2\nyl4FvwoAAAB4t3HDktrakFKmzaMOpU+4w0VJa+/GmSynsgcAAIB3G1tbpTaXtjUUZ3WPZA8lLZVu\nk5lUkbCoQwEAAECBGTssKUnaXE+yBxSd5taMkuUJmZHsAQAA4N3G1lZJkup2FeckLSR7KGmpdBvj\n9QAAANCpcUVe2WNRdZScnU2t2rG7RZK0raGF8XoAAADo1OiaoLK3rq5Bdbua9yR/xYJkDyWluTWj\n4//jj2psyezZNmVsTYQRAQAAoFBVlpdp3LAqLX5sg16s26VlC2ZHHVKvkOyhpOzc3arGlow+dewE\nzZ48SpJ06D7DIo4KAAAAhWrRxcfppbp6jQnH7xUTkj2UlMZUWpL0/imjdfZR4yOOBgAAAIVu+vjh\nmj5+eNRh9AkQaSssAAAVgUlEQVQzU6CkNKaC7pvVlXzOAQAAgHgj2UNJaQgre0OrmJQFAAAA8Uay\nh5LS3o2zporKHgAAAOKNZA8lpbElSPboxgkAAIC4I9lDSWkfs0dlDwAAAHE36MmemSXNbKWZPWtm\na8zsX8PtB5jZCjN72cxuN7PKwY4N8dfImD0AAACUiCgqeylJp7j7kZKOknSmmc2W9D1JP3D3KZK2\nS5ofQWyIufYJWujGCQAAgLgb9GTPAw3hjxXhwyWdIunOcPsSSecMdmyIv6aWtIZUJJQos6hDAQAA\nAAZUJOUNM0tIelLSFEk/kbRe0g53T4e7bJRUlCteL3p0g57buOM9203SJe8/QEftN2Lwg8IeDamM\nhjJeDwAAACUgkrted89IOsrMRkj6paRDcj3WzC6XdLkkTZw4cWAC7IfXtjXq2Tfem+xtrk9pw7Ym\n/eqK42VGVSkqjam0ahivBwAAgBIQaYnD3XeY2XJJ75M0wszKw+reBEmbujjmBkk3SNKxxx7rgxZs\njr5z9vROt9/y+Gv6xq9W6y/rt+n4KaMHOSq0a0ylGa8HAACAkhDFbJxjwoqezGyIpNMkPS9puaQ5\n4W4XS/r1YMc2kObMmKAxtVW6/sH1UYdS0hpb0iy7AAAAgJIQxWyc+0habmbPSXpC0v3u/ltJX5P0\nFTN7WdIoSYsiiG3AJCsSmn/CAXr05a2djunD4GhMZVh2AQAAACUhitk4n3P3o939CHef7u7fCbe/\n4u4z3X2Ku5/r7qnBjm2gzZ01UbXJcl2/nOpeVBpTaVVT2QMAAEAJiKKyV7JqkxW66H2TdO/at/Xy\n5oaeD0DeNaTSqmHMHgAAAEoAyd4gu/T9B6gyUaafPUR1LwpNLSy9AAAAgNJAsjfIRtdU6bzj9tMv\nn96kN3fsjjqckuLu4QQtjNkDAABA/JHsReCykyZLkm585JWIIyktTS0ZuYsxewAAACgJJHsRmDCy\nWh8/al/dtvINvdPYEnU4JaMxlZYkunECAACgJHDXG5HPfeBA3f3UJv1k+cs6f9bEqMMpOPsOH6Ih\nlf3vbpnOtOn1d5rkkjZtD7rN0o0TAAAApYBkLyIHjavV6dPGadGjG7To0Q1Rh1Nwjj9wlG69bHa/\nz/P9e1/Uzx5+d3fZEdWV/T4vAAAAUOhI9iL0H588QmcduVXuHnUoBeX2J97Q+i35WZri5c0N2m+v\nIbry9KmSpCEVCZ04ZXRezg0AAAAUMpK9CO01tFIfP3LfqMMoOOvqGrRiwzvKtLkSZdavc22uT+nA\nMTU6+6jxeYoOAAAAKA5M0IKCM3ZYlTJtnpfJazbXN2tsbVUeogIAAACKC8keCk57cla3q7lf58m0\nubbUpzS2NpmPsAAAAICiQrKHgjN2WJCcbalP9es82xpTanNp3DAqewAAACg9JHsoOPmq7G3eFSSL\nY6jsAQAAoASR7KHgjAmTvc39rOxtrg+SRSp7AAAAKEUkeyg4VeUJjayu6Hdlry6s7LV3CwUAAABK\nCckeCtLY2mT/K3vt3ThrqOwBAACg9JDsoSCNHVaVl26cew2tVGU5/8wBAABQelhUHQVpbG1ST772\nlj5/61N9PsdTr21njT0AAACULJI9FKRTDx2rZzfu0Atv7erzOaorE/ro4fvkMSoAAACgeJDsoSB9\n+PB99GESNQAAAKDPGMwEAAAAADFEsgcAAAAAMUSyBwAAAAAxRLIHAAAAADFEsgcAAAAAMUSyBwAA\nAAAxRLIHAAAAADFEsgcAAAAAMUSyBwAAAAAxRLIHAAAAADFEsgcAAAAAMUSyBwAAAAAxRLIHAAAA\nADFEsgcAAAAAMUSyBwAAAAAxRLIHAAAAADFEsgcAAAAAMUSyBwAAAAAxRLIHAAAAADFEsgcAAAAA\nMUSyBwAAAAAxRLIHAAAAADFEsgcAAAAAMWTuHnUMfWZmWyS9FnUcnRgtaWvUQaBXaLPiQ5sVJ9qt\n+NBmxYc2Kz60WfEppDab5O5jOnuiqJO9QmVmq9z92KjjQO5os+JDmxUn2q340GbFhzYrPrRZ8SmW\nNqMbJwAAAADEEMkeAAAAAMQQyd7AuCHqANBrtFnxoc2KE+1WfGiz4kObFR/arPgURZsxZg8AAAAA\nYojKHgAAAADEUEkke2a2n5ktN7O1ZrbGzL4Ybt/LzO43s3Xh15Hh9kPM7C9mljKzK7PO9UUzWx2e\n50vdXHOxmW02s9VZ2zu9ZifHLzOzF8NrLTazig7PnWxmz4QxPNSf96ZQxanNzOyqsL2eCZ/LmNle\n/X2PCk3M2my4mf0/M3s2jOHS/r4/hShmbTbSzH5pZs+Z2Uozm97f96dQFWm7LQp/n54zszvNrCbc\nXmVmt5vZy2a2wsz279+7U5hi1mYnmdlTZpY2szn9fW8KVYG12bnhsW1m1uXsj32JLU5i1mZzw9+9\nv5rZn83syD6/Me4e+4ekfSQdE35fK+klSdMkXSvpH8Pt/yjpe+H3YyUdJ+kaSVd2OM90SaslVUsq\nl/SApCldXPMkScdIWp21vdNrdnL8RyRZ+PiFpM+F20dIWitpYnusUb+/tFn3bZa1z8ck/Snq95c2\n677NJP1ThzjHSHpHUmXU7zFt1m2bfV/St8LvD5H0x6jfX9rtXfsN6/D9f3U45gpJPw2/P0/S7VG/\nv7RZj222v6QjJC2VNCfq97ZE2uxQSVMlPSjp2G5i7lVscXvErM2OlzQy/P7Dklb09X0picqeu7/l\n7k+F39dLel7SeElnS1oS7rZE0jnhPpvd/QlJrVmnOlTBm93k7mlJD0n6uy6u+bCCG8RsnV6zk+N/\n5yFJKyVNCJ86X9Ld7v56e6zdvfZiFbM26+jvFdygxk7M2swl1ZqZSaoJr5Hu5uUXpZi12TRJfwr3\neUHS/mY2rpuXX7SKtN12SVL4OzVEwe9Y9vF3SvpQuE+sxKnN3P1Vd39OUlsPL7uoFVKbufvz7v5i\nDmH3NrZYiVmb/dndt4fbH1fn95Q5KYlkr6Owi8jRklZIGufub4VPvS2ppxuD1ZJONLNRZlat4BPm\n/XoZQq+uaUEXpQsl/SHcdLCkkWb2oJk9aWYX9fL6RScGbda+vVrSmZLu6uX1i04M2uzHCv6zf1PS\nXyV90d1jfWMTgzZ7VuEfYzObKWmS+vHHsVgUU7uZ2U3hPodI+j/h5vGS3pCk8KZqp6RRvYyhqMSg\nzUpOAbRZrnobW2zFrM3mS/p9Xy9Q3tcDi1HY3/wuSV9y910dPzx0dzezbqcmdffnzex7ku6T1Cjp\nGUmZvsaTyzUlXS/pYXd/JPy5XNIMSR9S8EnbX8zscXd/qa9xFLKYtFm7j0l6zN07+6Q1NmLSZmeE\n1z1F0oGS7jezR9o/6Y6bmLTZf0j6kZk9oyBBf7o/MRSDYms3d7/UzBIKkoZPS7qpr9cqVrRZ8Sm0\nNstVjv+PxlKc2szMPqgg2Tuhr+ctmcpe+CnwXZKWufvd4eY6M9snfH4fST12iXT3Re4+w91PkrRd\n0ksWDAhtn4Djsz2cotNrmtm94fELO8T8LQXjhb7S4fiNku5190Z33yrpYUl9H7RZwGLUZu3OU0y7\ncLaLUZtdqqC7tLv7y5I2KPhkO3bi0mbuvsvdL3X3oyRdFD7/Sk5vQhEqxnYLr5eRdJukT4abNin8\nxNzMyiUNl7Stp7iLUYzarGQUUJt1Fd9N4fG/62tscROnNjOzIyQtlHS2u/f5/8WSqOxZkNIvkvS8\nu/9Xh6d+I+liBZ8IXyzp1zmca6y7bzaziQq6DM129x2SjsoxnE6v6e5nZF1ngYLqwoeyuo/9WtKP\nwz+KlZJmSfpBjtcuGjFrM5nZcEkfkHRBjtcsOjFrs9cVVM8fsWDc11TFMHGIU5uZ2QhJTe7eImmB\ngqpfXCuxRdVuYbwHuvvL4fcfl/RC1vF/kTRHwQRWsatGxKzNSkKBtVmn3D17puhexxYncWqz8Lp3\nS7rQ+9t7zwtg9pyBfigofbqk5xSUYp9R0P92lKQ/SlqnYKadvcL991ZQQdslaUf4/bDwuUcUzIb5\nrIKbja6u+QtJbykY9LlR0vxwe6fX7OT4tKT1HeL9ZofnrgpjWK2gRB35e0yb9dhml0i6Ler3lTbL\nrc0k7aug+8Zfw9+zC6J+f2mzHtvsfQpmXntRwR/IkVG/v7TbnmPLJD3W4fdpWYfrJyXdIellBRPu\nTI76/aXNemyz48LzNSqowq6J+v0tgTb7RPhzSlKdgh5enR3f69ji9IhZmy1UUFFsfx2r+vq+WHhC\nAAAAAECMlMyYPQAAAAAoJSR7AAAAABBDJHsAAAAAEEMkewAAAAAQQyR7AAAAABBDJHsAAAAAEEMk\newBQBMzsZDNzM7syx/1Hmtnu8JgLu9kvaWb/y8yeMLOt4TGvm9kfzOxrWdfO5fFqeMy3w59P7uH1\nfLvDtv07OV+Tma02s2+Z2ZBOjm9/ZMxse7jvEjM7M1xgt7v36NAOx5/YyfOP9uJ1XxAes7GH/c7r\ncP5bsp5rNrO3zewhM/uumR3QXfzhOf4zPPY9C16b2SG9iL85PObMHvZrCPd7vBfnPi885m0zW5UV\n420d9pvexWv8ehfvXy6vb3RP7yEAxFl51AEAAAbEXElVkjZImifp59k7mFm5gsVcj5f0O0m3SmqQ\ndICkmZK+Lul7kp6XlJ0wXi7pRElflrS1w/aGPMR+v6Sl4fdjJH1a0rfDOM/I2vcXYewmqVbSVEnn\nSLpI0gNmdq677+jiOvMl1UvareA9eiTr+e9IGtvh53GSrpP0oKRFWfs+1uH71yX9cxfX/Esn2z4j\nqUlShaTRCt77qyT9g5ld5e7/3dmJzKxCQbuslzTVzN7v7h3jeFPvbbdPSzpLwfu5vsP2TNZ+SxW0\nQ7bW8Ou3FLRNu30kXSvpT5Juyjqms9ecrVnSpZK+2slzl4bPJ7s49ncK/h10pj6HawNAbJHsAUA8\nzZe0XNKvJf3QzCa7+ytZ+5ytIIH6obt/OfsEZra3JLl7naRbsp47VUGy9yt3fzXPsb/k7nuuZ2b/\nR9ITkk43s+Pc/YkO+z7Vcd9w/68oSDy+oiAJ+HD2BTokSndI2inpcjP73+6+Jzlw9/uyjpmiINlb\nn33NLNt7eD7b/2QnpGa2v6TfSvqRmW1y97s6Oe7jChKucyXdpSBh3ZPsufsuvbfdpitI9u5198e7\niemJ7l6Du9+bdd5DFLzn63r52tv9UtIFZvY1d093OO+Jkg5S8EHE+V0c+3wfrwkAsUc3TgCIGTM7\nRtJRkpYouElOK0gEsh0Ufv1jZ+dx97cHJMBeCm/+22OcksP+GXf/qqRHJZ1pZid0stvHFFTtlki6\nWdJQBVWvghAm0J+S5JKu6WK3+QoS44cUtPOnzKxmcCLMu5sUtMdHs7ZfKmmTpPvecwQAoEckewAQ\nP/MVdKe8y923KqgQXWxm2f/nt3fju6DjeLgC1Z6Ybu12r3dr72qZnUBIwXu0QdIj7v6cpKfVeULc\nFwkzG93Fo9txhB25+1pJf1bQRfPAjs+Z2XgFXVrbu7veLKlGQYKYD0O7iL82T+fP9hcF3YX3tEGY\nuJ6r4DVmdzPtaEgXsQ4foFgBoGiQ7AFAjJhZUkF3t7vcvTHcvETSBL13vNuvJT2loKL1lpn91sy+\naWanht0co5LscMN+qJldraDL4quSHu7FeZ4Lvx7ccaOZ7aswUXJ3DzcvkfQ+Mzu0f6FLkqZL2tLF\no7cJSKevQdIlCsYp/lyS3P0pSX9VkMTmw3+o8/izx+Pl002SPmJm48KfP6Ugge3pmleo81g7rVgD\nQClhzB4AxMvfSRqhIHlp9zsFN7/zJP2+faO7t5jZByR9UcGN9Uf0tyrYZjP7irsvG5So322+3pu0\nPCxpgbunenGeXeHXYVnbL1HwYefSDtuWSfq+gvfoql5cozPrJX22i+d6O4HNe15DWB2cJ2m5u7/e\nYd8lkq4zs6nu/mIvr5Ptxwo+DMhW18/zdmeppH+TdIGk/1TQhfMRd19nZrO6Oe4OSTd0sn1XJ9sA\noKSQ7AFAvMxXkNhtDCcUaXefpHPNbHTYtVOS5O4NCsaEXWNmwxTMBHmOgtk2l5rZq1kzPOabd7Lt\n1wqSDVcwC+PL4SQxvdWeIO256e+QKD0nqSzrPXpM0oVm9vWOk4T0QYO7P9CP4zt6z2uQdLKkyZIW\nZcX/uIL3bL6kf+jndV/M42vIibvXmdnvJV1qZr+RdIJy61r7+mDHCgDFgmQPAGLCgnXZPqige99L\nXex2gaQfdvZEOHvjAwqWLHhWQbXkUr17WYFc7Q6/Vnfx/NCs/TramKeb9yPCrx2rXB+Q1D7+bV0X\nx50l6Vd5uH4+dPYa2que16jzyVsuNLN/6mfCGpXFCmbm/ImCKuj/RBsOABQ3kj0AiI9LFSR6l0nq\nbG25qxVUSjpN9rK0T8s/vo+xbAi/HqqgG2m2Q7P2GwjtSdE9HbbNk5RSsA5fWyfH/Cw8LvJkLxw/\neLykF9qXzQgnHfk7SX/Qe9f6k4JZWP9ZQXfczrphFrrfStos6TRJizuMOwUA9AHJHgDEQDjT5iWS\n/uruC7vY5zBJ325fq87MjpJU5+5vdbL7OeHXtX0M6X5JjZIuM7Mbw6phexzDJC0In8979zszSyhY\nDP4ESb9r74YaJkpzJN3n7p1WjMzsowoqY/t08b4MinCdvTsUJO//1OGp8yUNkfR/3f03nRz3BwUL\nk89TESZ77p42s88pqGhS1QOAfiLZA4Di8qFwxs1sWyXtp86rPe3ukvRtBZWrJySdKunfzOw+BV01\n31YwW+TJCma/fEvSf/UlSHffbmZflfR/Jf3VzJZIeiOM8eLw62fdfXtfzt/BMWZ2Qfh9raSpChLV\nSQrGKXZciPvvFSRKnS1Q3u4uBUnzxQpmpOyLkR1iyvZcuNRDR58ysyYFf5NHSZql4P2XpP/l7r/s\nsG/7shqdrjvn7g1mdq+kj5rZ3v1YK/G4bl7D3e7e1Mfz9sjd75Z0dy8OObSbWO919y15CAsAihLJ\nHgAUlzPDR7b28Vld3iS7+2oze0nSeWb2ZUl3SqpSkPRdoWBR67SCJQ5+IOn7/VlY3d1/ZmavSPpy\neP4RCrqXrpQ0P0/j8v4+fLQpSII2SnpI0i/c/Q9Z+85X8PreUxHr4H5J9Qq6xPY12ZuocEmETvyr\n/racQrufhV9bFLw/LymYGXSxu+/p5mpmR0iaIel/3L25m+vfJelsBV1Vr+119IGLwkdnHpQ0YMle\nH3wkfHTmRAUTFgFASbK/LTEEAAAAAIgLFlUHAAAAgBgi2QMAAACAGCLZAwAAAIAYItkDAAAAgBgi\n2QMAAACAGCLZAwAAAIAYItkDAAAAgBgi2QMAAACAGCLZAwAAAIAYItkDAAAAgBj6/yG1WLJpWBnJ\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig = plt.figure(figsize=(15,10))\n",
    "\n",
    "fig.suptitle(aqms[1].PM10_MAX.name + \"\\n\" + aqms[1].PM10_MAX.describes, fontsize=20)\n",
    "plt.plot(aqms[1].PM10_MAX.value[:,0], aqms[1].PM10_MAX.value[:,1])\n",
    "plt.xlabel(aqms[1].timeProperty, fontsize=18)\n",
    "plt.ylabel(aqms[1].PM10_MAX.name + \" (\" + aqms[1].PM10_MAX.symbol + \")\", fontsize=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "sj1fcj9j74Fx"
   },
   "source": [
    "### IUDX Magic!\n",
    "We can repeat the above for all the selected sensors!\n",
    "Dynamically populating the x and y axis, showing the units of measurement and many more!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 686
    },
    "colab_type": "code",
    "id": "E_rJqeCxIzTn",
    "outputId": "46dcc1ac-58d2-421a-e2d7-ed0b3a61193d"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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oIiIiIiJSgigIFBEREREAgoKCaNasGU2aNOHGG2/kyJEjZ7zMzMxM7rvvPpo0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XIkr776Knv37j3leAUFBWRlZQU+f+mll1i0aBHjxo3jqaeeYt68eYH7LrvsMiwWC0OGDGl0KeSs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\nRESkQhQCRUREREREKuQ/yNWDv/6hpyAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig = plt.figure(figsize=(15,10))\n",
    "fig.suptitle(aqms[0].PM10_MAX.name + \"\\n\" + aqms[0].PM10_MAX.describes, fontsize=20)\n",
    "plt.xlabel(aqms[0].timeProperty, fontsize=18)\n",
    "plt.ylabel(aqms[0].PM10_MAX.name + \" (\" + aqms[0].PM10_MAX.symbol + \")\", fontsize=16)\n",
    "\n",
    "for sensor in aqms:\n",
    "  plt.plot(sensor.PM10_MAX.value[:,0], sensor.PM10_MAX.value[:,1], label=sensor.id.split(\"/\")[-1])\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "OxKcCpKnLnOi"
   },
   "source": [
    "Notice how the pollution significantly peaks around deepavali (28th-30th october)!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "z2kOXIp33byJ"
   },
   "source": [
    "### Geo-spatial analytics with IUDX\n",
    "Let's do something a bit more advance. \n",
    "Let's plot the geo-spatial distrubution of PM10 across the entire city of Pune."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "VbAHp8zj8lqF"
   },
   "source": [
    "Install a few dependencies and import a few libraries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 251
    },
    "colab_type": "code",
    "id": "tpEIp-1vK0SG",
    "outputId": "c18ef76d-e6aa-43c2-add1-840221f73024"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: geojsoncontour in /usr/local/lib/python3.6/dist-packages (0.3.2)\n",
      "Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from geojsoncontour) (1.17.4)\n",
      "Requirement already satisfied: geojson in /usr/local/lib/python3.6/dist-packages (from geojsoncontour) (2.5.0)\n",
      "Requirement already satisfied: xarray in /usr/local/lib/python3.6/dist-packages (from geojsoncontour) (0.11.3)\n",
      "Requirement already satisfied: matplotlib in /usr/local/lib/python3.6/dist-packages (from geojsoncontour) (3.1.1)\n",
      "Requirement already satisfied: pandas>=0.19.2 in /usr/local/lib/python3.6/dist-packages (from xarray->geojsoncontour) (0.25.3)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->geojsoncontour) (1.1.0)\n",
      "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib->geojsoncontour) (0.10.0)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->geojsoncontour) (2.4.5)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->geojsoncontour) (2.6.1)\n",
      "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.6/dist-packages (from pandas>=0.19.2->xarray->geojsoncontour) (2018.9)\n",
      "Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from kiwisolver>=1.0.1->matplotlib->geojsoncontour) (41.6.0)\n",
      "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from cycler>=0.10->matplotlib->geojsoncontour) (1.12.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install geojsoncontour\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "sQ-p_X4FkRGV"
   },
   "outputs": [],
   "source": [
    "from folium import plugins\n",
    "import geojsoncontour\n",
    "import scipy.ndimage\n",
    "import scipy as sp\n",
    "from scipy.interpolate import griddata\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "zps7WYqr2nN_"
   },
   "source": [
    "Let's extend our analysis to a large area, about 60 kms in diameter. This covers most Pune city.\n",
    "Again, we use the catalogue to filter out sensors within a wide region and pass it to the Items class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 55
    },
    "colab_type": "code",
    "id": "0eraU96O2rI-",
    "outputId": "e9234318-c737-4be3-902b-24b09f731473"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Nanded City Entry_42'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Sadanand Hotel Square_39'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Chandani Square_25'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Susgaon_46'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Bremen Square_37'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/BopadiSquare_65'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/ChurchKhadakiRailwayStation_36'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Goodluck Square_Cafe_23'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Kothrud PMPML BusDepot_48'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Karve Statue Square_5'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Warje_Square_21'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Sinhgad Road Junction_9'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Rajashri_Shahu_Bus_stand_19'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Bajaj Statue Square_50'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Market Yard Junction_2'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Golibar Square_11'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Seven Loves Square_16'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Pune_ST_Stand_40'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Pune Railway Station_28'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Sadhu_Wasvani_Square_24'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/RTO Square_8'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Appa_Balwant_Square_30'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Chitale Bandhu Corner_41'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/PMPML_Bus_Depot_Deccan_15'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Jhanshi Rani Square_59'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Shivaji Nagar ST Stand_45'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Shimla Office Square (Shivaji Nagar Chowk)_33'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Vishrantwadi junction_6'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/BRTS Visharant wadi_38'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Ambedkar society circle_29'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Blue Diamond Square (Hotel Taj)_10'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Dr Baba Saheb Ambedkar Sethu Junction_3'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/ABC Farm House Junction_4'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Gunjan Square_18'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Golf Club Junction_27'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Vadgaon_Sheri_Square_52'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Shree Krishna Hotel Square _12'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Datta Mandir Square_20'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Mundhwa Road Junction_51'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Noble Hospital junction_35'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Hadapsar_Gadital_01'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/FursungiKaman_31'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Lullanagar_Square_14'}, {'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/PMPML Katraj_Depot_New_26'}]\n"
     ]
    }
   ],
   "source": [
    "from pyIUDX.rs import item\n",
    "geo1 = {\"circle\": {\"lat\": 18.539107, \"lon\": 73.853987, \"radius\": 30000}}\n",
    "attributes = {\"tags\": [\"aqm\"]}\n",
    "filters = [\"id\"]\n",
    "allAQMItemsByID = cat.getManyResourceItems(attributes, filters, geo=geo1)\n",
    "print(allAQMItemsByID)\n",
    "aqms = item.Items(\"https://pudx.catalogue.iudx.org.in/catalogue/v1\", allAQMItemsByID)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "jrlo7QCx3mM3"
   },
   "source": [
    "Let's now get the latest data from these sensors.\n",
    "This will take about 30 seconds on the cloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 55
    },
    "colab_type": "code",
    "id": "f3pNIM9I37mB",
    "outputId": "a6b2b020-c625-4ff2-e135-5c73f0714560"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Items [<pyIUDX.rs.item.Item object at 0x7f7a4d948f28>, <pyIUDX.rs.item.Item object at 0x7f7a4d8d3198>, <pyIUDX.rs.item.Item object at 0x7f7a4d8d8a90>, <pyIUDX.rs.item.Item object at 0x7f7a4d90a4a8>, <pyIUDX.rs.item.Item object at 0x7f7a4d929668>, <pyIUDX.rs.item.Item object at 0x7f7a4d92fef0>, <pyIUDX.rs.item.Item object at 0x7f7a4d9554a8>, <pyIUDX.rs.item.Item object at 0x7f7a4d8f3cc0>, <pyIUDX.rs.item.Item object at 0x7f7a4d8ff588>, <pyIUDX.rs.item.Item object at 0x7f7a4d804b00>, <pyIUDX.rs.item.Item object at 0x7f7a4d7d2e80>, <pyIUDX.rs.item.Item object at 0x7f7a4d7db7b8>, <pyIUDX.rs.item.Item object at 0x7f7a4d90af28>, <pyIUDX.rs.item.Item object at 0x7f7a4d898748>, <pyIUDX.rs.item.Item object at 0x7f7a4d8a80b8>, <pyIUDX.rs.item.Item object at 0x7f7a4d923eb8>, <pyIUDX.rs.item.Item object at 0x7f7a4d8c2358>, <pyIUDX.rs.item.Item object at 0x7f7a4d847c50>, <pyIUDX.rs.item.Item object at 0x7f7a4d8629b0>, <pyIUDX.rs.item.Item object at 0x7f7a4d7a1470>, <pyIUDX.rs.item.Item object at 0x7f7a4d7a5d68>, <pyIUDX.rs.item.Item object at 0x7f7a4eb79048>, <pyIUDX.rs.item.Item object at 0x7f7a4d864e48>, <pyIUDX.rs.item.Item object at 0x7f7a4d870710>, <pyIUDX.rs.item.Item object at 0x7f7a4d893e48>, <pyIUDX.rs.item.Item object at 0x7f7a4d80a978>, <pyIUDX.rs.item.Item object at 0x7f7a4d818240>, <pyIUDX.rs.item.Item object at 0x7f7a4d7d2320>, <pyIUDX.rs.item.Item object at 0x7f7a4d77dbe0>, <pyIUDX.rs.item.Item object at 0x7f7a4d7084a8>, <pyIUDX.rs.item.Item object at 0x7f7a4d8ebfd0>, <pyIUDX.rs.item.Item object at 0x7f7a4d82f390>, <pyIUDX.rs.item.Item object at 0x7f7a4d834c18>, <pyIUDX.rs.item.Item object at 0x7f7a4d7f3f98>, <pyIUDX.rs.item.Item object at 0x7f7a4d757128>, <pyIUDX.rs.item.Item object at 0x7f7a4d75fa20>, <pyIUDX.rs.item.Item object at 0x7f7a4d804b70>, <pyIUDX.rs.item.Item object at 0x7f7a4d7f89e8>, <pyIUDX.rs.item.Item object at 0x7f7a4d7862b0>, <pyIUDX.rs.item.Item object at 0x7f7a4d7d2b00>, <pyIUDX.rs.item.Item object at 0x7f7a4d71f6d8>, <pyIUDX.rs.item.Item object at 0x7f7a4d723fd0>, <pyIUDX.rs.item.Item object at 0x7f7a4d90a9e8>, <pyIUDX.rs.item.Item object at 0x7f7a4d7c0ef0>]>"
      ]
     },
     "execution_count": 30,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aqms.latest()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "T018XourDXHi"
   },
   "source": [
    "Make numpy arrays of all the items locations and values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "JN8LOyFsDQuQ"
   },
   "outputs": [],
   "source": [
    "# Get the latest PM_10 values for all aqms\n",
    "zs = []\n",
    "x_orig = []\n",
    "y_orig = []\n",
    "for aqm in aqms:\n",
    "  val = aqm.PM10_MAX.value[:, 1].astype(\"float\")\n",
    "  if val.size > 0:\n",
    "    zs.append(val[0])\n",
    "    x_orig.append(aqm.location.coordinates[0])\n",
    "    y_orig.append(aqm.location.coordinates[1])\n",
    "\n",
    "x_orig = np.array(x_orig)\n",
    "y_orig = np.array(y_orig)\n",
    "zs = np.array(zs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "-rJ5wRaTDfYp"
   },
   "source": [
    "Initialize the map and show all sensor locations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 889
    },
    "colab_type": "code",
    "id": "6GaHjpdMDTJY",
    "outputId": "e4bbbc45-864e-4c41-af93-52abb2c760c2"
   },
   "outputs": [
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     },
     "execution_count": 32,
     "metadata": {
      "tags": []
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    "# Initialize the map\n",
    "geomap = folium.Map([y_orig.mean(), x_orig.mean()], zoom_start=13, tiles=\"cartodbpositron\")\n",
    "\n",
    "for sensor in aqms:\n",
    "  sensor_id = sensor.id  \n",
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  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "_zpTXRDU9ERc"
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   "source": [
    "We are now ready to perform the analytic. \n",
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  },
  {
   "cell_type": "code",
   "execution_count": 0,
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     "base_uri": "https://localhost:8080/",
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    "colab_type": "code",
    "id": "4GR-hT60k8gm",
    "outputId": "97b367a2-23f0-4cdf-e2f9-bf82188f075b"
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kCGVbq6/OqogVk7rjDEljdt4I56VT0ZgXVjhy4cY5RiIcLjHuLJiPkOQUiDqW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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Make lat and lon linspace\n",
    "y_arr = np.linspace(np.min(y_orig), np.max(y_orig), 100)\n",
    "x_arr = np.linspace(np.min(x_orig), np.max(x_orig), 100)\n",
    "# Make mesh grid\n",
    "x_mesh, y_mesh = np.meshgrid(x_arr, y_arr)\n",
    "\n",
    "\n",
    "# Perform cubic interpolation\n",
    "z_mesh = griddata((x_orig, y_orig), zs, (x_mesh, y_mesh), method='cubic')\n",
    "# Number of levels of colors\n",
    "levels = 20\n",
    "# Make contours of the fird value obtained in z_mesh\n",
    "contourf = plt.contourf(x_mesh, y_mesh, z_mesh, levels, alpha=0.5, cmap=\"bwr\", linestyles='None', vmin=0, vmax=100)\n",
    "\n",
    "# Convert matplotlib contourf to geojson\n",
    "geojson = geojsoncontour.contourf_to_geojson(\n",
    "    contourf=contourf,\n",
    "    min_angle_deg=3.0,\n",
    "    ndigits=5,\n",
    "    stroke_width=1,\n",
    "    fill_opacity=0.5)\n",
    "\n",
    "# Plot the contour plot on folium\n",
    "folium.GeoJson(\n",
    "    geojson,\n",
    "    style_function=lambda x: {\n",
    "        'color':     x['properties']['stroke'],\n",
    "        'weight':    x['properties']['stroke-width'],\n",
    "        'fillColor': x['properties']['fill'],\n",
    "        'opacity':   0.6,\n",
    "    }).add_to(geomap)\n",
    "\n",
    "# Show map\n",
    "geomap\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "D-vlpbuW5fq8"
   },
   "source": [
    "## Downloading larger datasets\n",
    "Because of the large size of the data availabe, we have restricted PUDX \"during\" queries to only work when the time is less than one day. If data for a longer period is required, you will be needing the download API.\n",
    "We will however need the resourceServerGroup id instead of the id for this. To find this, you can go to pudx.catalogue.iudx.org.in and search for aqm with tags. Once the item is shown in the list view, you can click \"details\" and obtain the group id.\n",
    "The resourceServerGroup id for AQM is \"urn:iudx-catalogue-pune:pudx-resource-server/aqm-bosch-climo\"\n",
    "\n",
    "This will now give us a Google Drive link which we can use to download files based on weeks of the year. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 53
    },
    "colab_type": "code",
    "id": "0_ESsi1n6gse",
    "outputId": "eebf3846-cda6-48c7-8e8f-a05ec8701c80"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'download_URL': 'https://drive.google.com/open?id=12CnB-b2lvhts9q34TFzi-2YNcP9CUhK4',\n",
       " 'resourceServerGroup': 'urn:iudx-catalogue-pune:pudx-resource-server/aqm-bosch-climo'}"
      ]
     },
     "execution_count": 39,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyIUDX.rs import rs\n",
    "\n",
    "rs = rs.ResourceServer(\"https://pudx.resourceserver.iudx.org.in/resource-server/pscdcl/v1\")\n",
    "\n",
    "groupId = \"urn:iudx-catalogue-pune:pudx-resource-server/aqm-bosch-climo\"\n",
    "\n",
    "data = rs.downloadData(groupId)\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "_DT3aMIy6n0-"
   },
   "source": [
    "On opening that download_URL, you will find different files corresponding to different weeks of the year for AQM. You can then use python pyDrive module to download that file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "d3v-4llz5pdo"
   },
   "outputs": [],
   "source": [
    "from pydrive.auth import GoogleAuth\n",
    "from pydrive.drive import GoogleDrive\n",
    "from pydrive.files import GoogleDriveFile\n",
    "from google.colab import auth\n",
    "from oauth2client.client import GoogleCredentials"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "4-WLtsnV6xLt"
   },
   "source": [
    "Authenticate with Google Drive. This will ask you to follow a link and allow access. You need to have a gmail account. Once you have accessed the link "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "oiWhBEc661Mr"
   },
   "outputs": [],
   "source": [
    "auth.authenticate_user()\n",
    "gauth = GoogleAuth()\n",
    "gauth.credentials = GoogleCredentials.get_application_default()\n",
    "drive = GoogleDrive(gauth)\n",
    "files = GoogleDriveFile(auth=gauth)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 989
    },
    "colab_type": "code",
    "id": "PQq2mQA_65Af",
    "outputId": "0f3e3417-9865-4580-9f9c-9b631f175581"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "aqm-bosch-climo-Week_14.json\n",
      "aqm-bosch-climo-Week_15.json\n",
      "aqm-bosch-climo-Week_16.json\n",
      "aqm-bosch-climo-Week_17.json\n",
      "aqm-bosch-climo-Week_18.json\n",
      "aqm-bosch-climo-Week_19.json\n",
      "aqm-bosch-climo-Week_21.json\n",
      "aqm-bosch-climo-Week_20.json\n",
      "aqm-bosch-climo-Week_22.json\n",
      "aqm-bosch-climo-Week_23.json\n",
      "aqm-bosch-climo-Week_24.json\n",
      "aqm-bosch-climo-Week_25.json\n",
      "aqm-bosch-climo-Week_26.json\n",
      "aqm-bosch-climo-Week_27.json\n",
      "aqm-bosch-climo-Week_28.json\n",
      "aqm-bosch-climo-Week_29.json\n",
      "aqm-bosch-climo-Week_30.json\n",
      "aqm-bosch-climo-Week_31.json\n",
      "aqm-bosch-climo-Week_32.json\n",
      "aqm-bosch-climo-Week_33.json\n",
      "aqm-bosch-climo-Week_34.json\n",
      "aqm-bosch-climo-Week_35.json\n",
      "aqm-bosch-climo-Week_36.json\n",
      "aqm-bosch-climo-Week_37.json\n",
      "aqm-bosch-climo-Week_38.json\n",
      "aqm-bosch-climo-Week_40.json\n",
      "aqm-bosch-climo-Week_39.json\n",
      "aqm-bosch-climo-Week_38.json\n",
      "aqm-bosch-climo-Week_27.json\n",
      "aqm-bosch-climo-Week_19.json\n",
      "aqm-bosch-climo-Week_36.json\n",
      "aqm-bosch-climo-Week_20.json\n",
      "aqm-bosch-climo-Week_37.json\n",
      "aqm-bosch-climo-Week_14.json\n",
      "aqm-bosch-climo-Week_22.json\n",
      "aqm-bosch-climo-Week_39.json\n",
      "aqm-bosch-climo-Week_16.json\n",
      "aqm-bosch-climo-Week_24.json\n",
      "aqm-bosch-climo-Week_23.json\n",
      "aqm-bosch-climo-Week_35.json\n",
      "aqm-bosch-climo-Week_25.json\n",
      "aqm-bosch-climo-Week_18.json\n",
      "aqm-bosch-climo-Week_33.json\n",
      "aqm-bosch-climo-Week_30.json\n",
      "aqm-bosch-climo-Week_17.json\n",
      "aqm-bosch-climo-Week_26.json\n",
      "aqm-bosch-climo-Week_28.json\n",
      "aqm-bosch-climo-Week_29.json\n",
      "aqm-bosch-climo-Week_15.json\n",
      "aqm-bosch-climo-Week_40.json\n",
      "aqm-bosch-climo-Week_31.json\n",
      "aqm-bosch-climo-Week_34.json\n",
      "aqm-bosch-climo-Week_21.json\n",
      "aqm-bosch-climo-Week_32.json\n"
     ]
    }
   ],
   "source": [
    "folder_id = data[\"download_URL\"].split(\"=\")[-1]\n",
    "file_list = drive.ListFile({'q': \"'%s' in parents and trashed=false\" % folder_id}).GetList()\n",
    "\n",
    "for f in file_list:\n",
    "  print(f[\"title\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "zbt1J-dB68Qd"
   },
   "source": [
    "Let's get data for one such week."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "XrKYP_mT6-48"
   },
   "outputs": [],
   "source": [
    "fl = file_list[0]\n",
    "fl.GetContentFile(fl[\"title\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "acSgtnUd7FV-",
    "outputId": "dec4e6cf-30a2-4305-9e4d-993969da8fe4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "adc.json  aqm-bosch-climo-Week_14.json\tsample_data\n"
     ]
    }
   ],
   "source": [
    "!ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 611
    },
    "colab_type": "code",
    "id": "HswfqME17GiT",
    "outputId": "059f01b1-46f9-44d9-cc2e-45accf5fe2dc"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'AIR_PRESSURE': '0.932',\n",
       "  'AQI': '81.05',\n",
       "  'AQI_POLLUTANT': 'CO',\n",
       "  'CATEGORY': 'SATISFACTORY',\n",
       "  'CO2_MAX': '29',\n",
       "  'CO2_MIN': '29',\n",
       "  'CO_MAX': '101',\n",
       "  'CO_MIN': '38',\n",
       "  'DEVICEID': '145bacfd-da11-d35f-ed80-ce7475d9bf3d-sensoragent',\n",
       "  'HUMIDITY': '15.12',\n",
       "  'LASTUPDATEDATETIME': '2019-04-07T18:24:56.000000+05:30',\n",
       "  'LIGHT': '576.903',\n",
       "  'NAME': 'Vishrantwadi junction_6',\n",
       "  'NO2_MAX': '41',\n",
       "  'NO2_MIN': '18',\n",
       "  'NO_MAX': None,\n",
       "  'NO_MIN': None,\n",
       "  'OZONE_MAX': '61',\n",
       "  'OZONE_MIN': '0',\n",
       "  'PM10_MAX': '36',\n",
       "  'PM10_MIN': '30',\n",
       "  'PM2_MAX': '28',\n",
       "  'PM2_MIN': '23',\n",
       "  'SO2_MAX': '9',\n",
       "  'SO2_MIN': '1',\n",
       "  'SOUND': '72.256',\n",
       "  'STATUS': 'ON',\n",
       "  'TEMPRATURE_MAX': '42',\n",
       "  'TEMPRATURE_MIN': '24',\n",
       "  'UV_MAX': '1.7',\n",
       "  'UV_MIN': '0.1',\n",
       "  '__resource-group': 'aqm-bosch-climo',\n",
       "  '__resource-id': 'pudx-resource-server/aqm-bosch-climo/Vishrantwadi junction_6'}]"
      ]
     },
     "execution_count": 45,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import json \n",
    "\n",
    "with open(fl[\"title\"], \"r\") as f:\n",
    "  df_json = json.load(f)\n",
    "\"\"\" The first data point in the downloaded data \"\"\"\n",
    "df_json[0:1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "xLQHLl-V8Wd4"
   },
   "source": [
    "Doing you analysis this way might be simpler that using the Item() module as was shown previously, but it hides away some of the meta information that you would need, for example location. This can still be overcome by querying for the location of the \"NAME\" field in the data packet as shown below.\n",
    "Refer to - getOneresourceItem in https://pyiudx.readthedocs.io/en/latest/pyIUDX.cat.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "8X4GkZjQ84pQ",
    "outputId": "57a8bd1e-7c22-4158-b45b-17e1b3448d04"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'@context': ['https://raw.githubusercontent.com/iudx/iudx-ld/master/data_models/environment/airQuality/env_aqm_climoPune_0.json'],\n",
       " 'DEVICEID': {'type': 'Property',\n",
       "  'value': '145bacfd-da11-d35f-ed80-ce7475d9bf3d'},\n",
       " 'NAME': {'type': 'Property', 'value': 'Vishrantwadi junction_6'},\n",
       " 'createdAt': {'type': 'TimeProperty',\n",
       "  'value': 'Fri Nov 01 05:31:01 UTC 2019'},\n",
       " 'deviceModelInfo': {'type': 'Property',\n",
       "  'value': {'brand': 'Climo',\n",
       "   'model': 'Bosch-Climo',\n",
       "   'url': 'http://www.boschclimo.com/'}},\n",
       " 'id': 'rbccps.org/aa9d66a000d94a78895de8d4c0b3a67f3450e531/pudx-resource-server/aqm-bosch-climo/Vishrantwadi junction_6',\n",
       " 'itemDescription': 'Describes Air Quality Monitoring (AQM) Resource.',\n",
       " 'itemStatus': {'type': 'Property', 'value': 'active'},\n",
       " 'itemType': {'type': 'Property', 'value': 'resourceItem'},\n",
       " 'location': {'type': 'GeoProperty',\n",
       "  'value': {'address': 'ABD area, Pune',\n",
       "   'geometry': {'coordinates': [73.8785177, 18.5724037], 'type': 'Point'}}},\n",
       " 'onboardedBy': 'Technical consultant at rbccps.org',\n",
       " 'provider': {'type': 'Relationship',\n",
       "  'value': 'urn:iudx-catalogue-pune:pscdcl'},\n",
       " 'refBaseSchema': {'type': 'Relationship',\n",
       "  'value': 'https://raw.githubusercontent.com/iudx/iudx-ld/master/base_schemas/v0.0.0/resourceItem_schema.json'},\n",
       " 'refDataModel': {'type': 'Relationship',\n",
       "  'value': 'https://raw.githubusercontent.com/iudx/iudx-ld/master/data_models/environment/airQuality/env_aqm_climoPune_0.json'},\n",
       " 'resourceId': {'type': 'Property', 'value': 'Vishrantwadi junction_6'},\n",
       " 'resourceServer': {'type': 'Relationship',\n",
       "  'value': 'urn:iudx-catalogue-pune:pudx-resource-server'},\n",
       " 'resourceServerGroup': {'type': 'Relationship',\n",
       "  'value': 'urn:iudx-catalogue-pune:pudx-resource-server/aqm-bosch-climo'},\n",
       " 'tags': {'type': 'Property',\n",
       "  'value': ['environment',\n",
       "   'air quality',\n",
       "   'air',\n",
       "   'aqi',\n",
       "   'aqm',\n",
       "   'climo',\n",
       "   'climate',\n",
       "   'pollution',\n",
       "   'so2',\n",
       "   'co2',\n",
       "   'co',\n",
       "   'no',\n",
       "   'no2',\n",
       "   'pm2.5',\n",
       "   'pm25',\n",
       "   'lux',\n",
       "   'pm10',\n",
       "   'humidity',\n",
       "   'temperature',\n",
       "   'ozone',\n",
       "   'o3',\n",
       "   'noise',\n",
       "   'light',\n",
       "   'uv']},\n",
       " 'updatedAt': {'type': 'TimeProperty',\n",
       "  'value': 'Fri Nov 01 05:31:01 UTC 2019'}}"
      ]
     },
     "execution_count": 46,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "attributes = {\"NAME\": [df_json[0][\"NAME\"]]}\n",
    "item = cat.getManyResourceItems(attributes)[0]\n",
    "item"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "-cIYi-9O-juu"
   },
   "source": [
    "Obtaining location for this is now simple -"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "4H-2i6pJ-mmD",
    "outputId": "9efe5e4a-d9e6-4056-f6a5-6240ad81515f"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[73.8785177, 18.5724037]"
      ]
     },
     "execution_count": 47,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "item[\"location\"][\"value\"][\"geometry\"][\"coordinates\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ZivpvZKO-2Xe"
   },
   "source": [
    "Bear in mind, the location is a geo-json and the latitude and longitude are interchanged. This is because usually coordinates are mentioned as [x, y] where x axis is usually the longitude and lattitude. However, most of the mapping utitilities consider [y, x] or [latitude, longitude]. You will have to interchange the latitude and longitude in this case."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "KTw-ABI3_4bx"
   },
   "source": [
    "### Grouping in pandas\n",
    "The downloaded data can be grouped by \"NAME\" field and help you in generating a dataset. You will need Pandas for this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 366
    },
    "colab_type": "code",
    "id": "ZKvvmC6IADC8",
    "outputId": "16415221-d385-4022-caf5-da9ec0c3d862"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SOUND</th>\n",
       "      <th>TEMPRATURE_MIN</th>\n",
       "      <th>LASTUPDATEDATETIME</th>\n",
       "      <th>LIGHT</th>\n",
       "      <th>SO2_MIN</th>\n",
       "      <th>CO_MAX</th>\n",
       "      <th>SO2_MAX</th>\n",
       "      <th>CO2_MAX</th>\n",
       "      <th>CO_MIN</th>\n",
       "      <th>AIR_PRESSURE</th>\n",
       "      <th>__resource-id</th>\n",
       "      <th>AQI</th>\n",
       "      <th>STATUS</th>\n",
       "      <th>CO2_MIN</th>\n",
       "      <th>OZONE_MAX</th>\n",
       "      <th>PM10_MAX</th>\n",
       "      <th>TEMPRATURE_MAX</th>\n",
       "      <th>NO_MIN</th>\n",
       "      <th>NO_MAX</th>\n",
       "      <th>NO2_MAX</th>\n",
       "      <th>CATEGORY</th>\n",
       "      <th>NAME</th>\n",
       "      <th>AQI_POLLUTANT</th>\n",
       "      <th>NO2_MIN</th>\n",
       "      <th>OZONE_MIN</th>\n",
       "      <th>HUMIDITY</th>\n",
       "      <th>PM2_MIN</th>\n",
       "      <th>__resource-group</th>\n",
       "      <th>DEVICEID</th>\n",
       "      <th>UV_MIN</th>\n",
       "      <th>PM10_MIN</th>\n",
       "      <th>UV_MAX</th>\n",
       "      <th>PM2_MAX</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>72.256</td>\n",
       "      <td>24</td>\n",
       "      <td>2019-04-07T18:24:56.000000+05:30</td>\n",
       "      <td>576.903</td>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>38</td>\n",
       "      <td>0.932</td>\n",
       "      <td>pudx-resource-server/aqm-bosch-climo/Vishrantw...</td>\n",
       "      <td>81.05</td>\n",
       "      <td>ON</td>\n",
       "      <td>29</td>\n",
       "      <td>61</td>\n",
       "      <td>36</td>\n",
       "      <td>42</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>41</td>\n",
       "      <td>SATISFACTORY</td>\n",
       "      <td>Vishrantwadi junction_6</td>\n",
       "      <td>CO</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>15.12</td>\n",
       "      <td>23</td>\n",
       "      <td>aqm-bosch-climo</td>\n",
       "      <td>145bacfd-da11-d35f-ed80-ce7475d9bf3d-sensoragent</td>\n",
       "      <td>0.1</td>\n",
       "      <td>30</td>\n",
       "      <td>1.7</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>64.714</td>\n",
       "      <td>25</td>\n",
       "      <td>2019-04-07T18:24:56.000000+05:30</td>\n",
       "      <td>1345.004</td>\n",
       "      <td>5</td>\n",
       "      <td>88</td>\n",
       "      <td>6</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>0.931</td>\n",
       "      <td>pudx-resource-server/aqm-bosch-climo/VS_Khande...</td>\n",
       "      <td>171.2</td>\n",
       "      <td>ON</td>\n",
       "      <td>29</td>\n",
       "      <td>41</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>100</td>\n",
       "      <td>MODERATE</td>\n",
       "      <td>VS_Khandekar_Square_17</td>\n",
       "      <td>NO2</td>\n",
       "      <td>93</td>\n",
       "      <td>0</td>\n",
       "      <td>17.864</td>\n",
       "      <td>27</td>\n",
       "      <td>aqm-bosch-climo</td>\n",
       "      <td>b075ef08-a5cc-e920-6be3-f57e5b7731c5-sensoragent</td>\n",
       "      <td>0.1</td>\n",
       "      <td>35</td>\n",
       "      <td>5</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>87.682</td>\n",
       "      <td>25</td>\n",
       "      <td>2019-04-07T18:24:56.000000+05:30</td>\n",
       "      <td>2691.99</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>12</td>\n",
       "      <td>29</td>\n",
       "      <td>42</td>\n",
       "      <td>0.929</td>\n",
       "      <td>pudx-resource-server/aqm-bosch-climo/Susgaon_46</td>\n",
       "      <td>144.81</td>\n",
       "      <td>ON</td>\n",
       "      <td>29</td>\n",
       "      <td>46</td>\n",
       "      <td>42</td>\n",
       "      <td>41</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>109</td>\n",
       "      <td>MODERATE</td>\n",
       "      <td>Susgaon_46</td>\n",
       "      <td>NO2</td>\n",
       "      <td>75</td>\n",
       "      <td>0</td>\n",
       "      <td>17.336</td>\n",
       "      <td>19</td>\n",
       "      <td>aqm-bosch-climo</td>\n",
       "      <td>3d3a569a-1a89-c3b6-671c-5675e4132c32-sensoragent</td>\n",
       "      <td>0.1</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    SOUND TEMPRATURE_MIN  ... UV_MAX PM2_MAX\n",
       "0  72.256             24  ...    1.7      28\n",
       "1  64.714             25  ...      5      30\n",
       "2  87.682             25  ...      1      32\n",
       "\n",
       "[3 rows x 33 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df_aqm = pd.DataFrame(df_json)\n",
    "df_aqm.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "zpTfHpL5AOej"
   },
   "source": [
    "Now we can group by \"NAME\" field -"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 401
    },
    "colab_type": "code",
    "id": "0ri2NJ8yAQoN",
    "outputId": "0d8b6993-7c6c-4c55-c322-ffe80eddfde6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Getting data frame for Vishrantwadi junction_6\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SOUND</th>\n",
       "      <th>TEMPRATURE_MIN</th>\n",
       "      <th>LASTUPDATEDATETIME</th>\n",
       "      <th>LIGHT</th>\n",
       "      <th>SO2_MIN</th>\n",
       "      <th>CO_MAX</th>\n",
       "      <th>SO2_MAX</th>\n",
       "      <th>CO2_MAX</th>\n",
       "      <th>CO_MIN</th>\n",
       "      <th>AIR_PRESSURE</th>\n",
       "      <th>__resource-id</th>\n",
       "      <th>AQI</th>\n",
       "      <th>STATUS</th>\n",
       "      <th>CO2_MIN</th>\n",
       "      <th>OZONE_MAX</th>\n",
       "      <th>PM10_MAX</th>\n",
       "      <th>TEMPRATURE_MAX</th>\n",
       "      <th>NO_MIN</th>\n",
       "      <th>NO_MAX</th>\n",
       "      <th>NO2_MAX</th>\n",
       "      <th>CATEGORY</th>\n",
       "      <th>NAME</th>\n",
       "      <th>AQI_POLLUTANT</th>\n",
       "      <th>NO2_MIN</th>\n",
       "      <th>OZONE_MIN</th>\n",
       "      <th>HUMIDITY</th>\n",
       "      <th>PM2_MIN</th>\n",
       "      <th>__resource-group</th>\n",
       "      <th>DEVICEID</th>\n",
       "      <th>UV_MIN</th>\n",
       "      <th>PM10_MIN</th>\n",
       "      <th>UV_MAX</th>\n",
       "      <th>PM2_MAX</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>72.256</td>\n",
       "      <td>24</td>\n",
       "      <td>2019-04-07T18:24:56.000000+05:30</td>\n",
       "      <td>576.903</td>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>38</td>\n",
       "      <td>0.932</td>\n",
       "      <td>pudx-resource-server/aqm-bosch-climo/Vishrantw...</td>\n",
       "      <td>81.05</td>\n",
       "      <td>ON</td>\n",
       "      <td>29</td>\n",
       "      <td>61</td>\n",
       "      <td>36</td>\n",
       "      <td>42</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>41</td>\n",
       "      <td>SATISFACTORY</td>\n",
       "      <td>Vishrantwadi junction_6</td>\n",
       "      <td>CO</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>15.12</td>\n",
       "      <td>23</td>\n",
       "      <td>aqm-bosch-climo</td>\n",
       "      <td>145bacfd-da11-d35f-ed80-ce7475d9bf3d-sensoragent</td>\n",
       "      <td>0.1</td>\n",
       "      <td>30</td>\n",
       "      <td>1.7</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>72.256</td>\n",
       "      <td>24</td>\n",
       "      <td>2019-04-07T18:09:51.000000+05:30</td>\n",
       "      <td>968.634</td>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>38</td>\n",
       "      <td>0.932</td>\n",
       "      <td>pudx-resource-server/aqm-bosch-climo/Vishrantw...</td>\n",
       "      <td>80.05</td>\n",
       "      <td>ON</td>\n",
       "      <td>29</td>\n",
       "      <td>61</td>\n",
       "      <td>36</td>\n",
       "      <td>42</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>41</td>\n",
       "      <td>SATISFACTORY</td>\n",
       "      <td>Vishrantwadi junction_6</td>\n",
       "      <td>CO</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>15.12</td>\n",
       "      <td>23</td>\n",
       "      <td>aqm-bosch-climo</td>\n",
       "      <td>145bacfd-da11-d35f-ed80-ce7475d9bf3d-sensoragent</td>\n",
       "      <td>0.1</td>\n",
       "      <td>30</td>\n",
       "      <td>1.7</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>72.155</td>\n",
       "      <td>24</td>\n",
       "      <td>2019-04-07T17:54:52.000000+05:30</td>\n",
       "      <td>null</td>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>38</td>\n",
       "      <td>0.932</td>\n",
       "      <td>pudx-resource-server/aqm-bosch-climo/Vishrantw...</td>\n",
       "      <td>80.28</td>\n",
       "      <td>ON</td>\n",
       "      <td>29</td>\n",
       "      <td>61</td>\n",
       "      <td>36</td>\n",
       "      <td>42</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>41</td>\n",
       "      <td>SATISFACTORY</td>\n",
       "      <td>Vishrantwadi junction_6</td>\n",
       "      <td>CO</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>15.116</td>\n",
       "      <td>23</td>\n",
       "      <td>aqm-bosch-climo</td>\n",
       "      <td>145bacfd-da11-d35f-ed80-ce7475d9bf3d-sensoragent</td>\n",
       "      <td>0.1</td>\n",
       "      <td>30</td>\n",
       "      <td>1.7</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     SOUND TEMPRATURE_MIN  ... UV_MAX PM2_MAX\n",
       "0   72.256             24  ...    1.7      28\n",
       "43  72.256             24  ...    1.7      28\n",
       "48  72.155             24  ...    1.7      28\n",
       "\n",
       "[3 rows x 33 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_grouped = df_aqm.groupby(\"NAME\")\n",
    "print(\"Getting data frame for \" + df_json[0][\"NAME\"])\n",
    "some_aqm_sensor = df_grouped.get_group(df_json[0][\"NAME\"])\n",
    "some_aqm_sensor.head(3)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "vKzLurDO94RL"
   },
   "source": [
    "# Conclusion\n",
    "\n",
    "To recap, we've shown you a simple flow of obtaining the different sensors available in a region using the Catalogue module. We've taken this information and passed it to the Items module which provides a complex abstraction over the selected items and makes data access simple. We've then gone on to plot the different quantitative properties for an air quality monitor across the city and used IUDX's magic to dynamically give us the units, locations, and information about a pollutant, PM 10. Lastly we showed how IUDX makes complex analytics simple by helping discover and handle data. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "_n04Vld4-ocy"
   },
   "source": [
    "We encourage you to download this notebook and tinker around. Feedback is welcome. Visit https://github.com/iudx/pyIUDX for more advance usage and report errors/enhancement requests."
   ]
  }
 ],
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