Colaboratory_GDAL.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "satellite_images_python",
      "version": "0.3.2",
      "views": {},
      "default_view": {},
      "provenance": []
    },
    "kernelspec": {
      "name": "python2",
      "display_name": "Python 2"
    }
  },
  "cells": [
    {
      "metadata": {
        "id": "Pf21WWfHukH7",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "This is a Python 2.7 notebook designed and tested to get gdal installed and running on the Google Colabortory environment.\n",
        "For more information please visit www.acgeospatial.co.uk. \n",
        "\n",
        "First up as this will be running on a ubuntu server run apt-get update"
      ]
    },
    {
      "metadata": {
        "id": "IEH00treYOuS",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "output_extras": [
            {
              "item_id": 10
            }
          ],
          "base_uri": "https://localhost:8080/",
          "height": 243
        },
        "outputId": "da521427-3c8d-4ac3-b54c-6d421412f23a",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1520883179810,
          "user_tz": 0,
          "elapsed": 4037,
          "user": {
            "displayName": "Andrew C",
            "photoUrl": "//lh5.googleusercontent.com/-F5SJ3EtLEUE/AAAAAAAAAAI/AAAAAAAACnE/nw2LdBXOJ3Y/s50-c-k-no/photo.jpg",
            "userId": "102454772701477051069"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "!apt-get update"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Get:1 http://security.ubuntu.com/ubuntu artful-security InRelease [78.6 kB]\n",
            "Hit:2 http://archive.ubuntu.com/ubuntu artful InRelease\n",
            "Get:3 http://archive.ubuntu.com/ubuntu artful-updates InRelease [78.6 kB]\n",
            "Get:4 http://security.ubuntu.com/ubuntu artful-security/main amd64 Packages [173 kB]\n",
            "Get:5 http://archive.ubuntu.com/ubuntu artful-backports InRelease [72.2 kB]\n",
            "Get:6 http://security.ubuntu.com/ubuntu artful-security/universe amd64 Packages [55.2 kB]\n",
            "Get:7 http://archive.ubuntu.com/ubuntu artful-updates/universe Sources [30.0 kB]\n",
            "Get:8 http://archive.ubuntu.com/ubuntu artful-updates/universe amd64 Packages [113 kB]\n",
            "Get:9 http://archive.ubuntu.com/ubuntu artful-updates/main amd64 Packages [288 kB]\n",
            "Get:10 http://archive.ubuntu.com/ubuntu artful-backports/universe amd64 Packages [4,115 B]\n",
            "Fetched 892 kB in 1s (558 kB/s)\n",
            "Reading package lists... Done\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "Fp-3Kymuuiqr",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Next run apt-get install libgdal-dev run this before trying to install gdal otherwise you will get errors. The flag -y accepts the download and runs - this is the longest part (but not too long)"
      ]
    },
    {
      "metadata": {
        "id": "q-yO3ogAiVJF",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "output_extras": [
            {
              "item_id": 16
            },
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          "base_uri": "https://localhost:8080/",
          "height": 11054
        },
        "outputId": "438b9c47-3ade-40a6-8e88-2e218580f1c5",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1520883257559,
          "user_tz": 0,
          "elapsed": 70977,
          "user": {
            "displayName": "Andrew C",
            "photoUrl": "//lh5.googleusercontent.com/-F5SJ3EtLEUE/AAAAAAAAAAI/AAAAAAAACnE/nw2LdBXOJ3Y/s50-c-k-no/photo.jpg",
            "userId": "102454772701477051069"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "!apt-get install libgdal-dev -y"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "The following additional packages will be installed:\n",
            "  autotools-dev default-libmysqlclient-dev file gdal-data libarmadillo-dev\n",
            "  libarmadillo7 libarpack2 libarpack2-dev libblas-dev libblas3 libboost-dev\n",
            "  libboost1.62-dev libcurl4-gnutls-dev libdap-dev libdap25 libdapclient6v5\n",
            "  libdapserver7v5 libepsilon-dev libepsilon1 libfreexl-dev libfreexl1\n",
            "  libfyba-dev libfyba0 libgdal20 libgeos-3.5.1 libgeos-c1v5 libgeos-dev\n",
            "  libgeotiff-dev libgeotiff2 libgif-dev libgif7 libhdf4-0-alt libhdf4-alt-dev\n",
            "  libjbig-dev libjbig0 libjson-c-dev libjson-c3 libkml-dev libkmlbase1\n",
            "  libkmlconvenience1 libkmldom1 libkmlengine1 libkmlregionator1 libkmlxsd1\n",
            "  liblcms2-2 libltdl-dev libltdl7 liblzma-dev libmagic-mgc libmagic1\n",
            "  libminizip-dev libminizip1 libmysqlclient-dev libmysqlclient20 libnetcdf-dev\n",
            "  libnetcdf11 libnspr4 libnss3 libodbc1 libogdi3.2 libogdi3.2-dev libopenjp2-7\n",
            "  libopenjp2-7-dev libpcre16-3 libpcre3-dev libpcre32-3 libpcrecpp0v5\n",
            "  libpoppler-dev libpoppler-private-dev libpoppler68 libpq-dev libpq5\n",
            "  libproj-dev libproj12 libqhull-dev libqhull7 libspatialite-dev\n",
            "  libspatialite7 libsqlite3-dev libsuperlu-dev libsuperlu5 libtiff5\n",
            "  libtiff5-dev libtiffxx5 libtool liburiparser-dev liburiparser1 libwebp-dev\n",
            "  libwebp6 libwebpdemux2 libwebpmux3 libxerces-c-dev libxerces-c3.1\n",
            "  mysql-common odbcinst odbcinst1debian2 poppler-data proj-bin proj-data\n",
            "  unixodbc-dev uuid-dev\n",
            "Suggested packages:\n",
            "  libitpp-dev liblapack-doc libboost-doc libboost1.62-doc\n",
            "  libboost-atomic1.62-dev libboost-chrono1.62-dev libboost-context1.62-dev\n",
            "  libboost-coroutine1.62-dev libboost-date-time1.62-dev\n",
            "  libboost-exception1.62-dev libboost-fiber1.62-dev\n",
            "  libboost-filesystem1.62-dev libboost-graph1.62-dev\n",
            "  libboost-graph-parallel1.62-dev libboost-iostreams1.62-dev\n",
            "  libboost-locale1.62-dev libboost-log1.62-dev libboost-math1.62-dev\n",
            "  libboost-mpi1.62-dev libboost-mpi-python1.62-dev\n",
            "  libboost-program-options1.62-dev libboost-python1.62-dev\n",
            "  libboost-random1.62-dev libboost-regex1.62-dev\n",
            "  libboost-serialization1.62-dev libboost-signals1.62-dev\n",
            "  libboost-system1.62-dev libboost-test1.62-dev libboost-thread1.62-dev\n",
            "  libboost-timer1.62-dev libboost-type-erasure1.62-dev libboost-wave1.62-dev\n",
            "  libboost1.62-tools-dev libmpfrc++-dev libntl-dev libcurl4-doc\n",
            "  libgnutls28-dev libidn11-dev libkrb5-dev libldap2-dev librtmp-dev\n",
            "  libgdal-doc libgeotiff-epsg geotiff-bin gdal-bin libhdf4-doc hdf4-tools\n",
            "  liblcms2-utils libtool-doc liblzma-doc netcdf-bin netcdf-doc libmyodbc\n",
            "  odbc-postgresql tdsodbc unixodbc-bin ogdi-bin postgresql-doc-9.6 sqlite3-doc\n",
            "  libsuperlu-doc autoconf automaken gcj-jdk libxerces-c-doc poppler-utils\n",
            "  ghostscript fonts-japanese-mincho | fonts-ipafont-mincho\n",
            "  fonts-japanese-gothic | fonts-ipafont-gothic fonts-arphic-ukai\n",
            "  fonts-arphic-uming fonts-nanum\n",
            "The following NEW packages will be installed:\n",
            "  autotools-dev default-libmysqlclient-dev file gdal-data libarmadillo-dev\n",
            "  libarmadillo7 libarpack2 libarpack2-dev libblas-dev libblas3 libboost-dev\n",
            "  libboost1.62-dev libcurl4-gnutls-dev libdap-dev libdap25 libdapclient6v5\n",
            "  libdapserver7v5 libepsilon-dev libepsilon1 libfreexl-dev libfreexl1\n",
            "  libfyba-dev libfyba0 libgdal-dev libgdal20 libgeos-3.5.1 libgeos-c1v5\n",
            "  libgeos-dev libgeotiff-dev libgeotiff2 libgif-dev libgif7 libhdf4-0-alt\n",
            "  libhdf4-alt-dev libjbig-dev libjbig0 libjson-c-dev libjson-c3 libkml-dev\n",
            "  libkmlbase1 libkmlconvenience1 libkmldom1 libkmlengine1 libkmlregionator1\n",
            "  libkmlxsd1 liblcms2-2 libltdl-dev libltdl7 liblzma-dev libmagic-mgc\n",
            "  libmagic1 libminizip-dev libminizip1 libmysqlclient-dev libmysqlclient20\n",
            "  libnetcdf-dev libnetcdf11 libnspr4 libnss3 libodbc1 libogdi3.2\n",
            "  libogdi3.2-dev libopenjp2-7 libopenjp2-7-dev libpcre16-3 libpcre3-dev\n",
            "  libpcre32-3 libpcrecpp0v5 libpoppler-dev libpoppler-private-dev libpoppler68\n",
            "  libpq-dev libpq5 libproj-dev libproj12 libqhull-dev libqhull7\n",
            "  libspatialite-dev libspatialite7 libsqlite3-dev libsuperlu-dev libsuperlu5\n",
            "  libtiff5 libtiff5-dev libtiffxx5 libtool liburiparser-dev liburiparser1\n",
            "  libwebp-dev libwebp6 libwebpdemux2 libwebpmux3 libxerces-c-dev\n",
            "  libxerces-c3.1 mysql-common odbcinst odbcinst1debian2 poppler-data proj-bin\n",
            "  proj-data unixodbc-dev uuid-dev\n",
            "0 upgraded, 102 newly installed, 0 to remove and 0 not upgraded.\n",
            "Need to get 46.2 MB of archives.\n",
            "After this operation, 330 MB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu artful/main amd64 poppler-data all 0.4.8-1 [1,476 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu artful/main amd64 libjbig0 amd64 2.1-3.1 [26.6 kB]\n",
            "Get:3 http://archive.ubuntu.com/ubuntu artful/main amd64 libmagic-mgc amd64 1:5.32-1 [184 kB]\n",
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            "Get:5 http://archive.ubuntu.com/ubuntu artful/main amd64 file amd64 1:5.32-1 [22.0 kB]\n",
            "Get:6 http://archive.ubuntu.com/ubuntu artful/main amd64 libjson-c3 amd64 0.12.1-1.2 [21.5 kB]\n",
            "Get:7 http://archive.ubuntu.com/ubuntu artful/main amd64 autotools-dev all 20161112.1 [39.5 kB]\n",
            "Get:8 http://archive.ubuntu.com/ubuntu artful/main amd64 mysql-common all 5.8+1.0.2ubuntu1 [5,782 B]\n",
            "Get:9 http://archive.ubuntu.com/ubuntu artful-updates/main amd64 libmysqlclient20 amd64 5.7.21-0ubuntu0.17.10.1 [817 kB]\n",
            "Get:10 http://archive.ubuntu.com/ubuntu artful-updates/main amd64 libmysqlclient-dev amd64 5.7.21-0ubuntu0.17.10.1 [1,160 kB]\n",
            "Get:11 http://archive.ubuntu.com/ubuntu artful/main amd64 default-libmysqlclient-dev amd64 1.0.2ubuntu1 [3,432 B]\n",
            "Get:12 http://archive.ubuntu.com/ubuntu artful/universe amd64 gdal-data all 2.2.1+dfsg-2build3 [363 kB]\n",
            "Get:13 http://archive.ubuntu.com/ubuntu artful/main amd64 libblas3 amd64 3.7.1-3ubuntu2 [140 kB]\n",
            "Get:14 http://archive.ubuntu.com/ubuntu artful/universe amd64 libarpack2 amd64 3.5.0+real-1 [89.7 kB]\n",
            "Get:15 http://archive.ubuntu.com/ubuntu artful/universe amd64 libsuperlu5 amd64 5.2.1+dfsg1-2 [158 kB]\n",
            "Get:16 http://archive.ubuntu.com/ubuntu artful/universe amd64 libarmadillo7 amd64 1:7.960.1+dfsg-1 [78.1 kB]\n",
            "Get:17 http://archive.ubuntu.com/ubuntu artful/main amd64 libblas-dev amd64 3.7.1-3ubuntu2 [143 kB]\n",
            "Get:18 http://archive.ubuntu.com/ubuntu artful/universe amd64 libarpack2-dev amd64 3.5.0+real-1 [97.1 kB]\n",
            "Get:19 http://archive.ubuntu.com/ubuntu artful/universe amd64 libsuperlu-dev amd64 5.2.1+dfsg1-2 [16.2 kB]\n",
            "Get:20 http://archive.ubuntu.com/ubuntu artful/universe amd64 libarmadillo-dev amd64 1:7.960.1+dfsg-1 [325 kB]\n",
            "Get:21 http://archive.ubuntu.com/ubuntu artful/main amd64 libboost1.62-dev amd64 1.62.0+dfsg-4build3 [7,030 kB]\n",
            "Get:22 http://archive.ubuntu.com/ubuntu artful/main amd64 libboost-dev amd64 1.62.0.1 [3,074 B]\n",
            "Get:23 http://archive.ubuntu.com/ubuntu artful-updates/main amd64 libcurl4-gnutls-dev amd64 7.55.1-1ubuntu2.3 [270 kB]\n",
            "Get:24 http://archive.ubuntu.com/ubuntu artful/universe amd64 libdap25 amd64 3.19.0-1 [435 kB]\n",
            "Get:25 http://archive.ubuntu.com/ubuntu artful/universe amd64 libdapserver7v5 amd64 3.19.0-1 [22.1 kB]\n",
            "Get:26 http://archive.ubuntu.com/ubuntu artful/universe amd64 libdapclient6v5 amd64 3.19.0-1 [94.1 kB]\n",
            "Get:27 http://archive.ubuntu.com/ubuntu artful-updates/main amd64 uuid-dev amd64 2.30.1-0ubuntu4.1 [26.9 kB]\n",
            "Get:28 http://archive.ubuntu.com/ubuntu artful/universe amd64 libdap-dev amd64 3.19.0-1 [722 kB]\n",
            "Get:29 http://archive.ubuntu.com/ubuntu artful/universe amd64 libepsilon1 amd64 0.9.2+dfsg-2 [41.2 kB]\n",
            "Get:30 http://archive.ubuntu.com/ubuntu artful/universe amd64 libfyba0 amd64 4.1.1-3 [110 kB]\n",
            "Get:31 http://archive.ubuntu.com/ubuntu artful/universe amd64 libfyba-dev amd64 4.1.1-3 [436 kB]\n",
            "Get:32 http://archive.ubuntu.com/ubuntu artful/universe amd64 libfreexl1 amd64 1.0.3-1 [33.5 kB]\n",
            "Get:33 http://archive.ubuntu.com/ubuntu artful/universe amd64 libgeos-3.5.1 amd64 3.5.1-3 [474 kB]\n",
            "Get:34 http://archive.ubuntu.com/ubuntu artful/universe amd64 libgeos-c1v5 amd64 3.5.1-3 [51.6 kB]\n",
            "Get:35 http://archive.ubuntu.com/ubuntu artful/universe amd64 proj-data all 4.9.3-2 [4,020 kB]\n",
            "33% [35 proj-data 12.3 kB/4,020 kB 0%]"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "\r                                      \r40% [Working]\r             \rGet:36 http://archive.ubuntu.com/ubuntu artful/universe amd64 libproj12 amd64 4.9.3-2 [159 kB]\r\n",
            "\r40% [36 libproj12 57.0 kB/159 kB 36%]\r                                     \r40% [Waiting for headers]\r                         \rGet:37 http://archive.ubuntu.com/ubuntu artful/main amd64 libtiff5 amd64 4.0.8-5 [150 kB]\r\n",
            "\r40% [37 libtiff5 28.3 kB/150 kB 19%]\r                                    \r41% [Working]\r             \rGet:38 http://archive.ubuntu.com/ubuntu artful/universe amd64 libgeotiff2 amd64 1.4.2-2build1 [58.5 kB]\r\n",
            "\r41% [38 libgeotiff2 9,508 B/58.5 kB 16%]\r                                        \r41% [Working]\r             \rGet:39 http://archive.ubuntu.com/ubuntu artful/main amd64 libgif7 amd64 5.1.4-1 [30.7 kB]\r\n",
            "\r41% [39 libgif7 16.3 kB/30.7 kB 53%]\r                                    \r41% [Working]\r             \rGet:40 http://archive.ubuntu.com/ubuntu artful/universe amd64 libhdf4-0-alt amd64 4.2.13-1 [269 kB]\r\n",
            "Get:41 http://archive.ubuntu.com/ubuntu artful/universe amd64 libminizip1 amd64 1.1-8 [20.3 kB]\n",
            "Get:42 http://archive.ubuntu.com/ubuntu artful/universe amd64 liburiparser1 amd64 0.8.4-1 [38.0 kB]\n",
            "Get:43 http://archive.ubuntu.com/ubuntu artful/universe amd64 libkmlbase1 amd64 1.3.0-4 [44.4 kB]\n",
            "Get:44 http://archive.ubuntu.com/ubuntu artful/universe amd64 libkmldom1 amd64 1.3.0-4 [171 kB]\n",
            "Get:45 http://archive.ubuntu.com/ubuntu artful/universe amd64 libkmlengine1 amd64 1.3.0-4 [73.8 kB]\n",
            "Get:46 http://archive.ubuntu.com/ubuntu artful/universe amd64 libnetcdf11 amd64 1:4.4.1.1-2ubuntu1 [292 kB]\n",
            "Get:47 http://archive.ubuntu.com/ubuntu artful/main amd64 libltdl7 amd64 2.4.6-2 [38.8 kB]\n",
            "Get:48 http://archive.ubuntu.com/ubuntu artful/main amd64 libodbc1 amd64 2.3.4-1 [183 kB]\n",
            "Get:49 http://archive.ubuntu.com/ubuntu artful/universe amd64 libogdi3.2 amd64 3.2.0+ds-2 [213 kB]\n",
            "Get:50 http://archive.ubuntu.com/ubuntu artful/universe amd64 libopenjp2-7 amd64 2.2.0-1 [133 kB]\n",
            "Get:51 http://archive.ubuntu.com/ubuntu artful/main amd64 liblcms2-2 amd64 2.7-1ubuntu1 [137 kB]\n",
            "Get:52 http://archive.ubuntu.com/ubuntu artful/main amd64 libnspr4 amd64 2:4.16-1ubuntu2 [112 kB]\n",
            "Get:53 http://archive.ubuntu.com/ubuntu artful/main amd64 libnss3 amd64 2:3.32-1ubuntu3 [1,141 kB]\n",
            "Get:54 http://archive.ubuntu.com/ubuntu artful-updates/main amd64 libpoppler68 amd64 0.57.0-2ubuntu4.2 [787 kB]\n",
            "Get:55 http://archive.ubuntu.com/ubuntu artful-updates/main amd64 libpq5 amd64 9.6.8-0ubuntu0.17.10 [80.9 kB]\n",
            "Get:56 http://archive.ubuntu.com/ubuntu artful/universe amd64 libqhull7 amd64 2015.2-2 [151 kB]\n",
            "Get:57 http://archive.ubuntu.com/ubuntu artful/universe amd64 libspatialite7 amd64 4.3.0a-5build1 [1,224 kB]\n",
            "Get:58 http://archive.ubuntu.com/ubuntu artful/main amd64 libwebp6 amd64 0.6.0-3 [181 kB]\n",
            "Get:59 http://archive.ubuntu.com/ubuntu artful/universe amd64 libxerces-c3.1 amd64 3.1.4+debian-2 [839 kB]\n",
            "Get:60 http://archive.ubuntu.com/ubuntu artful/main amd64 odbcinst amd64 2.3.4-1 [12.8 kB]\n",
            "Get:61 http://archive.ubuntu.com/ubuntu artful/main amd64 odbcinst1debian2 amd64 2.3.4-1 [41.2 kB]\n",
            "Get:62 http://archive.ubuntu.com/ubuntu artful/universe amd64 libgdal20 amd64 2.2.1+dfsg-2build3 [5,100 kB]\n",
            "Get:63 http://archive.ubuntu.com/ubuntu artful/universe amd64 libgeos-dev amd64 3.5.1-3 [66.2 kB]\n",
            "Get:64 http://archive.ubuntu.com/ubuntu artful/main amd64 libgif-dev amd64 5.1.4-1 [20.6 kB]\n",
            "Get:65 http://archive.ubuntu.com/ubuntu artful/universe amd64 libkmlconvenience1 amd64 1.3.0-4 [42.8 kB]\n",
            "Get:66 http://archive.ubuntu.com/ubuntu artful/universe amd64 libkmlregionator1 amd64 1.3.0-4 [18.7 kB]\n",
            "Get:67 http://archive.ubuntu.com/ubuntu artful/universe amd64 libkmlxsd1 amd64 1.3.0-4 [30.1 kB]\n",
            "Get:68 http://archive.ubuntu.com/ubuntu artful/main amd64 libltdl-dev amd64 2.4.6-2 [162 kB]\n",
            "Get:69 http://archive.ubuntu.com/ubuntu artful/universe amd64 libminizip-dev amd64 1.1-8 [26.7 kB]\n",
            "Get:70 http://archive.ubuntu.com/ubuntu artful/universe amd64 libnetcdf-dev amd64 1:4.4.1.1-2ubuntu1 [37.2 kB]\n",
            "Get:71 http://archive.ubuntu.com/ubuntu artful/main amd64 libpcre16-3 amd64 2:8.39-5ubuntu3 [147 kB]\n",
            "Get:72 http://archive.ubuntu.com/ubuntu artful/main amd64 libpcre32-3 amd64 2:8.39-5ubuntu3 [138 kB]\n",
            "Get:73 http://archive.ubuntu.com/ubuntu artful/main amd64 libpcrecpp0v5 amd64 2:8.39-5ubuntu3 [15.2 kB]\n",
            "Get:74 http://archive.ubuntu.com/ubuntu artful/main amd64 libpcre3-dev amd64 2:8.39-5ubuntu3 [536 kB]\n",
            "Get:75 http://archive.ubuntu.com/ubuntu artful-updates/main amd64 libpoppler-dev amd64 0.57.0-2ubuntu4.2 [778 kB]\n",
            "Get:76 http://archive.ubuntu.com/ubuntu artful-updates/main amd64 libpoppler-private-dev amd64 0.57.0-2ubuntu4.2 [168 kB]\n",
            "Get:77 http://archive.ubuntu.com/ubuntu artful-updates/main amd64 libpq-dev amd64 9.6.8-0ubuntu0.17.10 [191 kB]\n",
            "Get:78 http://archive.ubuntu.com/ubuntu artful/universe amd64 libqhull-dev amd64 2015.2-2 [247 kB]\n",
            "Get:79 http://archive.ubuntu.com/ubuntu artful/main amd64 libsqlite3-dev amd64 3.19.3-3 [623 kB]\n",
            "Get:80 http://archive.ubuntu.com/ubuntu artful/main amd64 libjbig-dev amd64 2.1-3.1 [24.8 kB]\n",
            "Get:81 http://archive.ubuntu.com/ubuntu artful/main amd64 liblzma-dev amd64 5.2.2-1.3 [145 kB]\n",
            "Get:82 http://archive.ubuntu.com/ubuntu artful/main amd64 libtiffxx5 amd64 4.0.8-5 [5,724 B]\n",
            "Get:83 http://archive.ubuntu.com/ubuntu artful/main amd64 libtiff5-dev amd64 4.0.8-5 [271 kB]\n",
            "Get:84 http://archive.ubuntu.com/ubuntu artful/main amd64 libtool all 2.4.6-2 [194 kB]\n",
            "Get:85 http://archive.ubuntu.com/ubuntu artful/universe amd64 liburiparser-dev amd64 0.8.4-1 [10.0 kB]\n",
            "Get:86 http://archive.ubuntu.com/ubuntu artful/main amd64 libwebpdemux2 amd64 0.6.0-3 [9,712 B]\n",
            "Get:87 http://archive.ubuntu.com/ubuntu artful/main amd64 libwebpmux3 amd64 0.6.0-3 [20.0 kB]\n",
            "Get:88 http://archive.ubuntu.com/ubuntu artful/universe amd64 libxerces-c-dev amd64 3.1.4+debian-2 [1,626 kB]\n",
            "Get:89 http://archive.ubuntu.com/ubuntu artful/universe amd64 libepsilon-dev amd64 0.9.2+dfsg-2 [49.3 kB]\n",
            "Get:90 http://archive.ubuntu.com/ubuntu artful/universe amd64 libfreexl-dev amd64 1.0.3-1 [30.9 kB]\n",
            "Get:91 http://archive.ubuntu.com/ubuntu artful/universe amd64 libgeotiff-dev amd64 1.4.2-2build1 [82.6 kB]\n",
            "Get:92 http://archive.ubuntu.com/ubuntu artful/universe amd64 libhdf4-alt-dev amd64 4.2.13-1 [369 kB]\n",
            "Get:93 http://archive.ubuntu.com/ubuntu artful/main amd64 libjson-c-dev amd64 0.12.1-1.2 [31.6 kB]\n",
            "Get:94 http://archive.ubuntu.com/ubuntu artful/universe amd64 libkml-dev amd64 1.3.0-4 [934 kB]\n",
            "Get:95 http://archive.ubuntu.com/ubuntu artful/universe amd64 libproj-dev amd64 4.9.3-2 [199 kB]\n",
            "Get:96 http://archive.ubuntu.com/ubuntu artful/universe amd64 libogdi3.2-dev amd64 3.2.0+ds-2 [23.6 kB]\n",
            "Get:97 http://archive.ubuntu.com/ubuntu artful/universe amd64 libopenjp2-7-dev amd64 2.2.0-1 [26.0 kB]\n",
            "Get:98 http://archive.ubuntu.com/ubuntu artful/universe amd64 libspatialite-dev amd64 4.3.0a-5build1 [1,323 kB]\n",
            "Get:99 http://archive.ubuntu.com/ubuntu artful/main amd64 libwebp-dev amd64 0.6.0-3 [286 kB]\n",
            "Get:100 http://archive.ubuntu.com/ubuntu artful/main amd64 unixodbc-dev amd64 2.3.4-1 [215 kB]\n",
            "Get:101 http://archive.ubuntu.com/ubuntu artful/universe amd64 libgdal-dev amd64 2.2.1+dfsg-2build3 [6,341 kB]\n",
            "Get:102 http://archive.ubuntu.com/ubuntu artful/universe amd64 proj-bin amd64 4.9.3-2 [32.3 kB]\n",
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          ],
          "name": "stdout"
        },
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            "(Reading database ... 16712 files and directories currently installed.)\n",
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          ],
          "name": "stdout"
        },
        {
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          "text": [
            "Selecting previously unselected package libgdal20.\r\n",
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            "Unpacking libkmlxsd1:amd64 (1.3.0-4) ...\n",
            "Selecting previously unselected package libltdl-dev:amd64.\n",
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            "Unpacking libltdl-dev:amd64 (2.4.6-2) ...\n",
            "Selecting previously unselected package libminizip-dev:amd64.\n",
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            "Selecting previously unselected package libnetcdf-dev.\n",
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          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "vbcHrTq3vdvD",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Next up install python-gdal again with the -y flag"
      ]
    },
    {
      "metadata": {
        "id": "F7LeKAIiiZk1",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "output_extras": [
            {
              "item_id": 14
            }
          ],
          "base_uri": "https://localhost:8080/",
          "height": 470
        },
        "outputId": "bc7662de-c528-4745-85b7-3c6fa6d3d27f",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1520883321627,
          "user_tz": 0,
          "elapsed": 9599,
          "user": {
            "displayName": "Andrew C",
            "photoUrl": "//lh5.googleusercontent.com/-F5SJ3EtLEUE/AAAAAAAAAAI/AAAAAAAACnE/nw2LdBXOJ3Y/s50-c-k-no/photo.jpg",
            "userId": "102454772701477051069"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "!apt-get install python-gdal -y"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "The following additional packages will be installed:\n",
            "  python-numpy\n",
            "Suggested packages:\n",
            "  gdal-bin python-nose python-numpy-dbg python-numpy-doc\n",
            "The following NEW packages will be installed:\n",
            "  python-gdal python-numpy\n",
            "0 upgraded, 2 newly installed, 0 to remove and 0 not upgraded.\n",
            "Need to get 2,437 kB of archives.\n",
            "After this operation, 13.5 MB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu artful/main amd64 python-numpy amd64 1:1.12.1-3.1ubuntu4 [1,885 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu artful/universe amd64 python-gdal amd64 2.2.1+dfsg-2build3 [552 kB]\n",
            "Fetched 2,437 kB in 1s (1,592 kB/s)\n",
            "Selecting previously unselected package python-numpy.\n",
            "(Reading database ... 33914 files and directories currently installed.)\n",
            "Preparing to unpack .../python-numpy_1%3a1.12.1-3.1ubuntu4_amd64.deb ...\n",
            "Unpacking python-numpy (1:1.12.1-3.1ubuntu4) ...\n",
            "Selecting previously unselected package python-gdal.\n",
            "Preparing to unpack .../python-gdal_2.2.1+dfsg-2build3_amd64.deb ...\n",
            "Unpacking python-gdal (2.2.1+dfsg-2build3) ...\n",
            "Setting up python-numpy (1:1.12.1-3.1ubuntu4) ...\n",
            "Setting up python-gdal (2.2.1+dfsg-2build3) ...\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "qgq7MkJyvjz8",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Install numpy and scipy"
      ]
    },
    {
      "metadata": {
        "id": "oAUwX8BGifmC",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "output_extras": [
            {
              "item_id": 18
            }
          ],
          "base_uri": "https://localhost:8080/",
          "height": 791
        },
        "outputId": "c760be4d-b5b3-422f-d8f5-74115ebaa66f",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1520883399537,
          "user_tz": 0,
          "elapsed": 16385,
          "user": {
            "displayName": "Andrew C",
            "photoUrl": "//lh5.googleusercontent.com/-F5SJ3EtLEUE/AAAAAAAAAAI/AAAAAAAACnE/nw2LdBXOJ3Y/s50-c-k-no/photo.jpg",
            "userId": "102454772701477051069"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "!apt-get install python-numpy python-scipy -y"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "python-numpy is already the newest version (1:1.12.1-3.1ubuntu4).\n",
            "python-numpy set to manually installed.\n",
            "The following additional packages will be installed:\n",
            "  python-decorator python-imaging python-olefile python-pil\n",
            "Suggested packages:\n",
            "  python-pil-doc python-pil-dbg python-scipy-doc\n",
            "The following NEW packages will be installed:\n",
            "  python-decorator python-imaging python-olefile python-pil python-scipy\n",
            "0 upgraded, 5 newly installed, 0 to remove and 0 not upgraded.\n",
            "Need to get 9,259 kB of archives.\n",
            "After this operation, 40.5 MB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu artful/main amd64 python-decorator all 4.1.1-1 [9,200 B]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu artful/main amd64 python-olefile all 0.44-1 [36.2 kB]\n",
            "Get:3 http://archive.ubuntu.com/ubuntu artful/main amd64 python-pil amd64 4.1.1-3build2 [311 kB]\n",
            "Get:4 http://archive.ubuntu.com/ubuntu artful/universe amd64 python-imaging all 4.1.1-3build2 [4,294 B]\n",
            "Get:5 http://archive.ubuntu.com/ubuntu artful/universe amd64 python-scipy amd64 0.18.1-2ubuntu5 [8,898 kB]\n",
            "Fetched 9,259 kB in 1s (5,258 kB/s)\n",
            "Selecting previously unselected package python-decorator.\n",
            "(Reading database ... 34410 files and directories currently installed.)\n",
            "Preparing to unpack .../python-decorator_4.1.1-1_all.deb ...\n",
            "Unpacking python-decorator (4.1.1-1) ...\n",
            "Selecting previously unselected package python-olefile.\n",
            "Preparing to unpack .../python-olefile_0.44-1_all.deb ...\n",
            "Unpacking python-olefile (0.44-1) ...\n",
            "Selecting previously unselected package python-pil:amd64.\n",
            "Preparing to unpack .../python-pil_4.1.1-3build2_amd64.deb ...\n",
            "Unpacking python-pil:amd64 (4.1.1-3build2) ...\n",
            "Selecting previously unselected package python-imaging.\n",
            "Preparing to unpack .../python-imaging_4.1.1-3build2_all.deb ...\n",
            "Unpacking python-imaging (4.1.1-3build2) ...\n",
            "Selecting previously unselected package python-scipy.\n",
            "Preparing to unpack .../python-scipy_0.18.1-2ubuntu5_amd64.deb ...\n",
            "Unpacking python-scipy (0.18.1-2ubuntu5) ...\n",
            "Setting up python-olefile (0.44-1) ...\n",
            "Setting up python-decorator (4.1.1-1) ...\n",
            "Setting up python-pil:amd64 (4.1.1-3build2) ...\n",
            "Setting up python-scipy (0.18.1-2ubuntu5) ...\n",
            "Setting up python-imaging (4.1.1-3build2) ...\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "2ntiocA2voti",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Test the installation by importing gdal, no error? it should be ok. Lets move on.\n",
        "\n",
        "How are we going to get our data in to process it. There are several ways, but the easiest I've found is to clone a git repository. \n",
        "\n",
        "I have one with my Geospatial course on and it has an .jp2 image that we can try and load"
      ]
    },
    {
      "metadata": {
        "id": "rBPJL-4Zi-tq",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          }
        }
      },
      "cell_type": "code",
      "source": [
        "import gdal\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "l3UUPvDWwCPg",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Before running the git command, run !ls to set up the datalab dir and inspect your drive"
      ]
    },
    {
      "metadata": {
        "id": "Rigk6rzrjJZs",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "output_extras": [
            {
              "item_id": 1
            }
          ],
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "outputId": "03fe5fcf-c077-4b6b-84a3-b6fea8fe18bd",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1520883472417,
          "user_tz": 0,
          "elapsed": 1324,
          "user": {
            "displayName": "Andrew C",
            "photoUrl": "//lh5.googleusercontent.com/-F5SJ3EtLEUE/AAAAAAAAAAI/AAAAAAAACnE/nw2LdBXOJ3Y/s50-c-k-no/photo.jpg",
            "userId": "102454772701477051069"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "!ls"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "datalab\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "LkE-7ABqwKJV",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "clone the git repo"
      ]
    },
    {
      "metadata": {
        "id": "0gV5j4wCuEJe",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "output_extras": [
            {
              "item_id": 4
            }
          ],
          "base_uri": "https://localhost:8080/",
          "height": 92
        },
        "outputId": "e87a2db0-a9eb-40a9-c4aa-ac4d03365f58",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1520883528788,
          "user_tz": 0,
          "elapsed": 2038,
          "user": {
            "displayName": "Andrew C",
            "photoUrl": "//lh5.googleusercontent.com/-F5SJ3EtLEUE/AAAAAAAAAAI/AAAAAAAACnE/nw2LdBXOJ3Y/s50-c-k-no/photo.jpg",
            "userId": "102454772701477051069"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "! git clone --recursive https://github.com/acgeospatial/Geospatial_Course_Example/"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'Geospatial_Course_Example'...\n",
            "remote: Counting objects: 16, done.\u001b[K\n",
            "remote: Total 16 (delta 0), reused 0 (delta 0), pack-reused 16\u001b[K\n",
            "Unpacking objects: 100% (16/16), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "6sl5es_owL9Y",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "!ls again and bingo its there"
      ]
    },
    {
      "metadata": {
        "id": "vApdYATzuQNx",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "output_extras": [
            {
              "item_id": 1
            }
          ],
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "outputId": "a000b3ca-3775-458a-f855-5c687deafa43",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1520883539345,
          "user_tz": 0,
          "elapsed": 1539,
          "user": {
            "displayName": "Andrew C",
            "photoUrl": "//lh5.googleusercontent.com/-F5SJ3EtLEUE/AAAAAAAAAAI/AAAAAAAACnE/nw2LdBXOJ3Y/s50-c-k-no/photo.jpg",
            "userId": "102454772701477051069"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "!ls"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "datalab  Geospatial_Course_Example\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "S03KVM8uwPue",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "navigate to the folder"
      ]
    },
    {
      "metadata": {
        "id": "Ge9Q6NdSjSPD",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "output_extras": [
            {
              "item_id": 1
            }
          ],
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "outputId": "a994a2d8-a77b-48c5-b324-b5b013d34192",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1520883544285,
          "user_tz": 0,
          "elapsed": 474,
          "user": {
            "displayName": "Andrew C",
            "photoUrl": "//lh5.googleusercontent.com/-F5SJ3EtLEUE/AAAAAAAAAAI/AAAAAAAACnE/nw2LdBXOJ3Y/s50-c-k-no/photo.jpg",
            "userId": "102454772701477051069"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "cd Geospatial_Course_Example\n"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/Geospatial_Course_Example\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "O8J-Wn5jwSeq",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "run !ls again to see contents"
      ]
    },
    {
      "metadata": {
        "id": "zuCOsMtmjT-C",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "output_extras": [
            {
              "item_id": 1
            }
          ],
          "base_uri": "https://localhost:8080/",
          "height": 55
        },
        "outputId": "fb6af273-a48f-4c5c-be8a-ec96a30c562a",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1520883548266,
          "user_tz": 0,
          "elapsed": 1272,
          "user": {
            "displayName": "Andrew C",
            "photoUrl": "//lh5.googleusercontent.com/-F5SJ3EtLEUE/AAAAAAAAAAI/AAAAAAAACnE/nw2LdBXOJ3Y/s50-c-k-no/photo.jpg",
            "userId": "102454772701477051069"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "!ls"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "L2A_T30UXB_20170102T111442_TCI_60m_boundry.geojson  Raster_boundary.ipynb\r\n",
            "L2A_T30UXB_20170102T111442_TCI_60m.jp2\t\t    README.md\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "9EDVLVK4wV_d",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "awesome! now we are good to go, run a simple gdal open call and check to see the dimensions of the dataset (note we are only loading 1 band in)"
      ]
    },
    {
      "metadata": {
        "id": "OsMwa6RijiZ0",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "output_extras": [
            {
              "item_id": 2
            }
          ],
          "base_uri": "https://localhost:8080/",
          "height": 55
        },
        "outputId": "1f4e46d6-3cea-472b-97eb-5a7af778dcd5",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1520883554757,
          "user_tz": 0,
          "elapsed": 1156,
          "user": {
            "displayName": "Andrew C",
            "photoUrl": "//lh5.googleusercontent.com/-F5SJ3EtLEUE/AAAAAAAAAAI/AAAAAAAACnE/nw2LdBXOJ3Y/s50-c-k-no/photo.jpg",
            "userId": "102454772701477051069"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "raster_ds = gdal.Open(\"L2A_T30UXB_20170102T111442_TCI_60m.jp2\", gdal.GA_ReadOnly)\n",
        "print raster_ds\n",
        "image_gdal = raster_ds.GetRasterBand(1).ReadAsArray()\n",
        "print image_gdal.shape\n"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<osgeo.gdal.Dataset; proxy of <Swig Object of type 'GDALDatasetShadow *' at 0x7fa478ce4420> >\n",
            "(1830, 1830)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "XD7U-U2BwhXc",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "lets take a look at the data, if not already install !pip install matplotlib if install import as useful"
      ]
    },
    {
      "metadata": {
        "id": "SAsL7lihkKh8",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          }
        }
      },
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "DLNUR9DuwsWP",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "plot the image"
      ]
    },
    {
      "metadata": {
        "id": "uPPDwOCRk97M",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "output_extras": [
            {
              "item_id": 1
            }
          ],
          "base_uri": "https://localhost:8080/",
          "height": 351
        },
        "outputId": "7d3ffaf6-68fb-4f0f-8211-ad4467d43b0b",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1520883567273,
          "user_tz": 0,
          "elapsed": 1455,
          "user": {
            "displayName": "Andrew C",
            "photoUrl": "//lh5.googleusercontent.com/-F5SJ3EtLEUE/AAAAAAAAAAI/AAAAAAAACnE/nw2LdBXOJ3Y/s50-c-k-no/photo.jpg",
            "userId": "102454772701477051069"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "plt.imshow(image_gdal, cmap = \"hot\", interpolation='nearest', aspect='auto')\n",
        "plt.colorbar()\n",
        "plt.show()"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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k/kQCfhFiUBuB5z7V3MtsDVU2ThUiDi5A1dkevGSfjeHoXMB9RMCSa5Nu9s8h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tuUmazxHk6nvI1nkfch2uAma8L8a+vlG1kgeQe3YdErYn0PfNyCrIMDjNMXi75ZlE1DC+gayo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kStfN4OHDsWLlsuAaILMYijWqTlzUEM7q8GFN4ykQi7sC3uO0Tcnx2UZpdx3xdpfHORJ7I3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\nVLgvp59DOIt8p6WpRCHcfmKQVPoc0/LLbTrm75UfSeN+tu1t0JT3b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fWScOG27n2vp6T+\ne0lX/3W/Ded17z0A+OC/weqfg9MPLfWlsuICNXJU5pkH8AoDLqEGIbWBMgmjG+iRjNWMRVNU5p4+\n6RaSlbmovUPdlG9wh++foc9MZ+eox/4lfdlX/6BuRVkU9WeghfUviXosrT9daD/HKhNuL6GeUpNb\nNWSqG6IuLROVk0wpp0C7i5pFaJo6xwpy15AQr26KFMZpedn3McpaWhbXUiFQaGd0+zg7+isTnlcx\nERpXgOcz9rv1ITpX0qXKyzb6yU+grmdhb9uisqyC4f36uNPfvy2eEfnI/ue9eVKP7cxI20XxzFyp\n9LwunUibabWZtSuvOfbJy5LvzVBdA7kuUlHZVZDqzKP4251l3gpOB0dGm34M4rrELDH657UkXj9L\nIELBCQcrYKEyBn2cuYBsm6HiGQwgE8lgjDVUJnknRQiupgiKn6ZkCvpq924hueupW0R+kpJ9yL14\nCu/rKILygxRB/IdvL+dsXvqiIoCXUyDhLwPnPQGu++9wy2DARkpQ0MGUbSmfvqnmEFUY6Q+zHysp\nUb7QZ0opDHMLgIxIK8rw9xGKpZj+Osty+kiCDEYGIkOUWXmvzGAu/0zCZQmnJnOTISokTGE4Sl+o\npgBOAe+YmdLRd2llaq3I1Az0SCtFayFpFKrVou/Z9miJbaTO3Yru/zKqEpFMVkvK9rrNI7cjtFb2\ndPxm/2XQBiyto78+2ohO4hpUF4hCJqOeUwhapwqyY59HZyXC4ztVLAzq00ebaMEwNZOWQitpwvrS\nV51CV+VnZfTRZ4yRcH04nyuofkz5gePoPtOEbVOBtGyjuhxynSTSkYw93UwKVNvk+6zX9S5Nq6y1\nkPvOKguCcxeUPKxXYkg/WRKKAsrFNt4870JQ47MkzOOCVZAqNP0z0GIknjXwQy19a9S5gsogXSBQ\nz1S8HLjiL2r913R1Xwecel9JgHA7xS95LIVBPY/qs/wY5WiyL1CE42HdPecDX/x8aesVlAjdlwKX\n/Rs84+fhlqEh/uTlRQP/DkWI306F7ixpJUBhzmuZW3BATUOWcLd+vZlujDZSmKzwlPfKkBMuUkjq\n68vDoxNWdc5kwskMcq6SESsU00LxncKKMjs/Z9ta2F5rQ8vFzxYZpb5Bg48WURmvp/UYnb2+u343\nfehsHbXM0E/onUzFtIt3USFVkRaL62Rx8/xoXHMtyMBTQWr3zc7Sn8csjqMCM4OWXNv6/9r5S6Vo\nCTXnagq1pA37Yl8zYb71qeymZTkXjGtJCzh9iSpKeZpIRqUmHO4+c9+hK0IIW17hvtNUGEUzTC+a\n/nbnbJhKm9KyZYYKkbeul/xv+7zHcd0VZfZR/O3OMm99nMkIU6OEvh9TQk/ndhJawoS5kCSuDAVP\nWFEiS+giLY/pOX6XOedm+sVU7VwtT613A3DOywt0e97JcNxHivB8D4V4f5MSBPTbwJ++Bt77MbiB\nYq19nSJ4P0OxOD9F2Yv5aUrA0EaKxTpCSe935Tvhvf8N3vH/dg37iwp1ucDV/LVeEnaapSR/OJxi\n0bpYVU5Gune2/i1htumoK1ED77cdqUVDZVR5La2n3HqRlkorMFsNOyFS25IWp/M70tzbfvcZBaLM\n375uiXvcJqCrYBM1itv2CzNvoMKcCo1FFHTiG/QTtWuhZtah9P9NU4VECvO5lNBktKP0t4NBnfd9\n4zeFerZBJCiPqBIizkhrEQkRASHNB0rA7hhnxK91J11l/5J2MmBrOO5toV77klayY5MWvFGsKlby\ngQyAsj7b5G85/l6boU/f6XuEuj58xoh35yLh7ml2LCq20od12rbkt9nGXVV2t+X4SMu8tThTo/Oz\nDF7iGKZuqG+1aIkgg1aI5zKYSN8Q9OExNeNkqJaMeFSzM4pRi/NO+rDdSgrDkSFb73XAWR+Bnz25\nXP8Uxf+4nCIYzwd+42Ml29BGSjq+b1GszZu7LD9HUnyZh1H2ik4BH96nWJJPAt723+piy8WRQmYZ\n/UjYHEPHVa338d33g7rf0jc5FX9aoc6Zmrn9T0RhW3xPCNV9h23boc/URAjS6lJYJvqQCpDtSIGe\niQoU6lvZMVUc1LlVQKRvd5IKy7ltYAnF3z1OmV8DSVbGOCXMTff/gG5sTde4NNpgRi2tkISxpdu0\nRlQK3WL0OKpgh76Cl5GjiSRoVWVwkHPrWs1AuSmqIMr5c978bBKChJCznnThpBU+E5+dyyn6Z10m\nPdtHrzlXmaEoIev87/zsTc0uJGrQ+u9TYWtdFyp1nn4zRZ92na8UaLbfcdf6tCTPTAs4/6ugSF+O\nv+Pp+FiGmVsI74yyp0K189bizMlOy84FChUSEkaSoBO6gL7V6cLK4BE/p6M+ISgXHfStihbmVQin\n1jpLsR48Ushrti33fp73kSIkJ6jw6anA/6AszC3AW/eGu7YWK/IpAEfBK79ZrMFhijXyT10/33Hf\njoIpz9BMZWOWAglmcQzt0wwlIYNjM0ER4FlfMi7nJ5Wg3NKgJS5C4Dgks59p/tsXqMw5GUxus8i+\nSTsKSbeiyCyXUITT7ewYkJSQZbbL8bNemWD6BPVB+h591G7XMGL2gO7ZfWNMpfMD6B+3ldYLVAad\nSo/32l6ZufTg2A9T4PdWkUpYOkta7wpWg0jm8oOlxWIykfZ6rkWz+Rhhq/KS/tbcoiJd2hbfkVZT\n9le61LLNCO+EeVuFI/uusmzyEqiK4wgPLGQyCtl6cpxb//Le1PnMaGfdRSYVScsw50H/bgaypWLm\nmkvoMwX7FEW5y9R7O7vsbsj1kZZ5bXHCjtZF62yX4NWMXfhpbaZWmgw+GX6r3aWmnZProksYKf06\nCc8soUZsTlEWmv4DrbuReH4z5bSS6ylWwPuPLEE9h1EY6neAN24tey7voMC2V3yo3HPabYU5r6JA\nqcKHtlkm3UIvBkikLzHHfowdD6GGusASIs1FpxWf8LdCK31qY8A7Dq3j2AoFxzKt08yBq2U4TT+J\nfPYvfeNp0WaAxQQlEjmtn1Zwp5XcCiXHeGs8bzJ6oViF51pqzmXpc5JiRWrRZ1ulrTznU4sl+ypD\nd9zbmIA2kXq+w764Loj6VUhay6kN4pmmH52aloF+RMfLoClRDAWOFqtJ7C05H2mJ+w6FguOdgS1C\nxI6RfZygCLz0LfqOVrBBXwC1lm1alsNR11hzrxZdWua55cf3qdzZ5pH4LN0k2pKBctPMDcnneKlI\npE+euM85Mc3j7rbw5luZt4IzhZuWYEIW6c+QWNIXloSWDKCNjJuN37IkM2zhwVnqgmgXG3GvDNDA\nk0y6vLn7TbjZZ11QkwDjJZJ2Ld0WlceV4CBhr1soFuZi4JyDimAdoUYK2n5hyhQatis1XJl2y7hz\nQW6L+7OvWts5LyPxl1svMtH3DPDWm2pdzrPWg0VCVeiOxL0KaoVeau5L6UOsMm792yIWKUAy20wW\nIVcDU1S6FGJCaAkB+55lFGXIjfG2Xwsrs1Klr4/4TTqSMfruFCopEJ3/9NMlDGwQivPmqSPEvbYp\n64T+GkoBr3CepcyTCtIKKpTrnte02LXsjRS2js30E9Dn+3w2LS4VjPXRbq0zf0tYNOH4FDbZ74n4\nnlm1VChsRyrCvre1bBOZsB2iQImaOA5pCfsM9H2a6a9Mi7idq7G4pkWfcQ5ut9Lit61tANjOLAtQ\n7S4sRsCl8JJpqRXmxmyJIzfGp38L+sIghazXhuOz/2fie/pdvN/6W4aj4DDidiT6o6asz2stBWod\nB3gnPPEDMPwXxbr88nfLsyvpB5bon8lxMWAiLTcZsgENWiET1MT2rVKymMrALBltm8IjlRYDVJbT\nh69MpJ8KkEJgmgJLajkqcNTUM71cWrJQGZgCPC0FmflM1NXCyc6FAsU6x+mnxJNx57sdi9ySMkn1\nIWoh3E0VGlCEiVDpQdTTfdIKs24VLpl8HiBu7loDj1Ss7OdU8992O5YKUhlp+sKgL3xVGn23AU2J\nPphopPVNJh2kwtPCwioXKgqZeUflxbo30Ec88l1a8q5/26ewSX9rulfscwvfWsd0fE83Rlq/Ck3f\nLUTvu7Y2z4pK2F/vyzG0+Jz7rBMRU4gm+mFJZTDn0+eSj3qMXSopu6LsqVDtvBWcqcklRGLJBSgR\npSBLH5TEnILExZPMKa0n/7t4bUtrcVnS/5GCJVOqJYQ8TP8kj4ys3EAh3Pc+r+5Jg76lZtYRF50M\n0P4kdJ2JpN3fqlVqP2TEJt+2zZmrF3ZMkJ79Ff6EfuYeIWq34eTCX0YRIJ6BansUDjMU/545VX1f\nMlOZpkw/94aaqFyGpOBI2NM5yFMxhAuJuhwLt0ykQJahH0BN2aiVpPIg0zXYKaHTuynKi31KV0Fm\nO0qBL82qUIhU2KdkSrZRZtr6gJNZt37qVFId77RgM7etAqdNOJ8KaFrlWnHSvf3NYC9jBFwfaW0p\nrEbiv7SQaxqqUtX2L9dh5rfVsk9f4HLqtq2kw0QnFJa+RyUmrbukc9uWFmIqFIlIQB/Glf7aBPAb\n6c+pz+V6VVC2PupxSgDbd9j1gm13W46PtMxbwdlabcJh+Rv0/SYSqotLAkwLLzXX0Xi+9S/kdQVM\n7gWU4CQsg02SyNOinYnfZXT2JcP4tSgTVsqAnuG4b1k8lzlKU4vOiLgUEOPdmBjF6Baa9I0KR6eS\nkEElre8vs7sQbXPMJygLfAN9SE+I2DFSyLpfT8tMZqI1aj/1eQrpJbSejM36W/oZoW6lSXRigj4d\ntuOhsDDoCvpWSipu+o327epZTmWA7uc0X+xG+gzLttsm6SihQoWi+Wbb9H/pSsjrtnWusVQRyQA9\n15mBLulznGm+j1ORCscl6cWxNs2k/fG3nEv7PU1fUHlvaxmmJZVbRVpXjetGms5rM+y4b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            "text/plain": [
              "<matplotlib.figure.Figure at 0x7fa462ec7810>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}