1_read_geotiff_to_array.ipynb

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    "colab": {
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      "toc_visible": true,
      "authorship_tag": "ABX9TyPLVHeMeFkP/jRH3pi/dr7V",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/yogiwinardhana/GIS_programming/blob/main/1_read_geotiff_to_array.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Load GeoTIFF as Numpy Array"
      ],
      "metadata": {
        "id": "uSmwuYwA4MCD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install datasets rasterio pyproj"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "obkXZHUK4ZE4",
        "outputId": "dbee0e00-2d11-474f-87ae-ca478aedeef5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: datasets in /usr/local/lib/python3.10/dist-packages (2.17.1)\n",
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            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (6.0.5)\n",
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            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->datasets) (1.16.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "3DbCOyG_4dnT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kLsbOJdU4uQs",
        "outputId": "3007fd52-decc-4815-82cc-47b6c1c153d6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import sys\n",
        "import csv\n",
        "import time\n",
        "import glob\n",
        "import joblib\n",
        "import datasets\n",
        "import datetime\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "from pathlib import Path\n",
        "from pprint import pprint\n",
        "\n",
        "from huggingface_hub import snapshot_download\n",
        "\n",
        "from sklearn.ensemble import RandomForestClassifier as skRF\n",
        "from sklearn.metrics import confusion_matrix, accuracy_score, roc_auc_score\n",
        "from sklearn.metrics import classification_report, roc_curve, auc\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.model_selection import RandomizedSearchCV, KFold\n",
        "from sklearn.inspection import permutation_importance\n",
        "\n",
        "# Visualization\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import warnings\n",
        "\n",
        "# Geospatial related imports\n",
        "from osgeo import gdalconst\n",
        "from osgeo import gdal\n",
        "import folium\n",
        "from folium import plugins\n",
        "import folium_helper\n",
        "\n",
        "plt.style.use('fivethirtyeight')\n",
        "warnings.filterwarnings('ignore')\n",
        "%matplotlib inline"
      ],
      "metadata": {
        "id": "fo4MmHLZ4RcK"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# output directory\n",
        "OUTPUT_DIR = 'output'\n",
        "\n",
        "# path for folder, consist of individual bands\n",
        "PATH_FILE = '/content/drive/MyDrive/2_geospatial_project/binary_classification_black_sea/individual_bands'"
      ],
      "metadata": {
        "id": "ZPLF5Dz24oPT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "os.makedirs(OUTPUT_DIR)"
      ],
      "metadata": {
        "id": "hSNgibVW4kfb"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# get individual bands path\n",
        "file_list = sorted([x for x in glob.glob(os.path.join(PATH_FILE, '*.tif'))])\n",
        "file_list"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "k4qUPvzx5xf9",
        "outputId": "579e81f4-2ee3-4932-97d4-344156cbe39b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['/content/drive/MyDrive/2_geospatial_project/binary_classification_black_sea/individual_bands/modis_10bands_1300_1300_10.tif',\n",
              " '/content/drive/MyDrive/2_geospatial_project/binary_classification_black_sea/individual_bands/modis_10bands_1300_1300_b1.tif',\n",
              " '/content/drive/MyDrive/2_geospatial_project/binary_classification_black_sea/individual_bands/modis_10bands_1300_1300_b2.tif',\n",
              " '/content/drive/MyDrive/2_geospatial_project/binary_classification_black_sea/individual_bands/modis_10bands_1300_1300_b3.tif',\n",
              " '/content/drive/MyDrive/2_geospatial_project/binary_classification_black_sea/individual_bands/modis_10bands_1300_1300_b4.tif',\n",
              " '/content/drive/MyDrive/2_geospatial_project/binary_classification_black_sea/individual_bands/modis_10bands_1300_1300_b5.tif',\n",
              " '/content/drive/MyDrive/2_geospatial_project/binary_classification_black_sea/individual_bands/modis_10bands_1300_1300_b6.tif',\n",
              " '/content/drive/MyDrive/2_geospatial_project/binary_classification_black_sea/individual_bands/modis_10bands_1300_1300_b7.tif',\n",
              " '/content/drive/MyDrive/2_geospatial_project/binary_classification_black_sea/individual_bands/modis_10bands_1300_1300_b8.tif',\n",
              " '/content/drive/MyDrive/2_geospatial_project/binary_classification_black_sea/individual_bands/modis_10bands_1300_1300_b9.tif']"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# read raster to array\n",
        "def read_raster_to_array(file_list):\n",
        "  raster_projection = None\n",
        "  new_shape = (1300*1300, 10)\n",
        "  img = np.empty(new_shape, dtype=np.int16)\n",
        "\n",
        "  for i, file_name in enumerate(file_list):\n",
        "    ds = gdal.Open(file_name)\n",
        "    img[:, i] = ds.GetRasterBand(1).ReadAsArray().astype(np.int16).ravel()\n",
        "\n",
        "    if i == 0:\n",
        "      raster_projection = ds.GetProjection()\n",
        "\n",
        "    ds = None\n",
        "\n",
        "    return img, raster_projection\n"
      ],
      "metadata": {
        "id": "abzdOcRS6GCp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "%%time\n",
        "im, raster_projection = read_raster_to_array(file_list)\n",
        "print('Raster as ndarray')\n",
        "print(im)\n",
        "\n",
        "print('{} MB size'.format((im.size * im.itemsize) / 1000000))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Px7krYKn7C4u",
        "outputId": "6fbf7bac-390b-4783-8f05-388eaab4027a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Raster as ndarray\n",
            "[[-7512     0     0 ...     0     0     0]\n",
            " [-8331     0     0 ...     0     0     0]\n",
            " [-7783     0     0 ...     0     0     0]\n",
            " ...\n",
            " [-5587     0     0 ...     0     0     0]\n",
            " [-5268     0     0 ...     0     0     0]\n",
            " [-5016     0     0 ...     0     0     0]]\n",
            "33.8 MB size\n",
            "CPU times: user 8.86 ms, sys: 15.3 ms, total: 24.2 ms\n",
            "Wall time: 34.6 ms\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "list_columns = ['SR_1', 'SR_2', 'SR_3', 'SR_4', 'SR_5', 'SR_6', 'SR_7', 'ndvi', 'swir1', 'swir2']\n",
        "\n",
        "raster_dataframe = pd.DataFrame(im, columns=list_columns, dtype=np.float32)\n",
        "raster_dataframe"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 836
        },
        "id": "rfygCkVp7Zr0",
        "outputId": "406dcd02-b412-4b2a-d640-efb29201a965"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
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              "      <th>1689998</th>\n",
              "      <td>-5268.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1689999</th>\n",
              "      <td>-5016.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1690000 rows × 10 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c1abd738-96ed-4d53-b53d-de0489ed6e7f')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-c1abd738-96ed-4d53-b53d-de0489ed6e7f button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-c1abd738-96ed-4d53-b53d-de0489ed6e7f');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-4e309204-d418-4f08-8c50-76fa7a714390\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-4e309204-d418-4f08-8c50-76fa7a714390')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-4e309204-d418-4f08-8c50-76fa7a714390 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "raster_dataframe"
            }
          },
          "metadata": {},
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<google.colab._quickchart_helpers.SectionTitle at 0x7854bb5706d0>"
            ],
            "text/html": [
              "<h4 class=\"colab-quickchart-section-title\">Distributions</h4>\n",
              "<style>\n",
              "  .colab-quickchart-section-title {\n",
              "      clear: both;\n",
              "  }\n",
              "</style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "raster_dataframe['SR_1'].plot(kind='hist', bins=20, title='SR_1')\n",
              "plt.gca().spines[['top', 'right',]].set_visible(False)"
            ],
            "text/html": [
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              "RK5CYII=\n",
              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-d1461e03-4a69-4fbc-b19a-bd84d0a96f0c\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-d1461e03-4a69-4fbc-b19a-bd84d0a96f0c\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<google.colab._quickchart_helpers.SectionTitle at 0x7854bb570fd0>"
            ],
            "text/html": [
              "<h4 class=\"colab-quickchart-section-title\">Time series</h4>\n",
              "<style>\n",
              "  .colab-quickchart-section-title {\n",
              "      clear: both;\n",
              "  }\n",
              "</style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "import seaborn as sns\n",
              "def _plot_series(series, series_name, series_index=0):\n",
              "  from matplotlib import pyplot as plt\n",
              "  import seaborn as sns\n",
              "  palette = list(sns.palettes.mpl_palette('Dark2'))\n",
              "  xs = series['SR_2']\n",
              "  ys = series['SR_1']\n",
              "  \n",
              "  plt.plot(xs, ys, label=series_name, color=palette[series_index % len(palette)])\n",
              "\n",
              "fig, ax = plt.subplots(figsize=(10, 5.2), layout='constrained')\n",
              "df_sorted = raster_dataframe.sort_values('SR_2', ascending=True)\n",
              "_plot_series(df_sorted, '')\n",
              "sns.despine(fig=fig, ax=ax)\n",
              "plt.xlabel('SR_2')\n",
              "_ = plt.ylabel('SR_1')"
            ],
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              "TkSuQmCC\n",
              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-14420ea9-38b2-4e27-8c73-2a7945f7661e\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-14420ea9-38b2-4e27-8c73-2a7945f7661e\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "import seaborn as sns\n",
              "def _plot_series(series, series_name, series_index=0):\n",
              "  from matplotlib import pyplot as plt\n",
              "  import seaborn as sns\n",
              "  palette = list(sns.palettes.mpl_palette('Dark2'))\n",
              "  counted = (series['SR_2']\n",
              "                .value_counts()\n",
              "              .reset_index(name='counts')\n",
              "              .rename({'index': 'SR_2'}, axis=1)\n",
              "              .sort_values('SR_2', ascending=True))\n",
              "  xs = counted['SR_2']\n",
              "  ys = counted['counts']\n",
              "  plt.plot(xs, ys, label=series_name, color=palette[series_index % len(palette)])\n",
              "\n",
              "fig, ax = plt.subplots(figsize=(10, 5.2), layout='constrained')\n",
              "df_sorted = raster_dataframe.sort_values('SR_2', ascending=True)\n",
              "_plot_series(df_sorted, '')\n",
              "sns.despine(fig=fig, ax=ax)\n",
              "plt.xlabel('SR_2')\n",
              "_ = plt.ylabel('count()')"
            ],
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              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-919560fe-a66d-4f52-adb8-6c8a48157a2a\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-919560fe-a66d-4f52-adb8-6c8a48157a2a\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "import seaborn as sns\n",
              "def _plot_series(series, series_name, series_index=0):\n",
              "  from matplotlib import pyplot as plt\n",
              "  import seaborn as sns\n",
              "  palette = list(sns.palettes.mpl_palette('Dark2'))\n",
              "  xs = series['SR_3']\n",
              "  ys = series['SR_1']\n",
              "  \n",
              "  plt.plot(xs, ys, label=series_name, color=palette[series_index % len(palette)])\n",
              "\n",
              "fig, ax = plt.subplots(figsize=(10, 5.2), layout='constrained')\n",
              "df_sorted = raster_dataframe.sort_values('SR_3', ascending=True)\n",
              "_plot_series(df_sorted, '')\n",
              "sns.despine(fig=fig, ax=ax)\n",
              "plt.xlabel('SR_3')\n",
              "_ = plt.ylabel('SR_1')"
            ],
            "text/html": [
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              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-465b8ea2-0adf-4ae7-a874-b6441fa979c1\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-465b8ea2-0adf-4ae7-a874-b6441fa979c1\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "import seaborn as sns\n",
              "def _plot_series(series, series_name, series_index=0):\n",
              "  from matplotlib import pyplot as plt\n",
              "  import seaborn as sns\n",
              "  palette = list(sns.palettes.mpl_palette('Dark2'))\n",
              "  counted = (series['SR_3']\n",
              "                .value_counts()\n",
              "              .reset_index(name='counts')\n",
              "              .rename({'index': 'SR_3'}, axis=1)\n",
              "              .sort_values('SR_3', ascending=True))\n",
              "  xs = counted['SR_3']\n",
              "  ys = counted['counts']\n",
              "  plt.plot(xs, ys, label=series_name, color=palette[series_index % len(palette)])\n",
              "\n",
              "fig, ax = plt.subplots(figsize=(10, 5.2), layout='constrained')\n",
              "df_sorted = raster_dataframe.sort_values('SR_3', ascending=True)\n",
              "_plot_series(df_sorted, '')\n",
              "sns.despine(fig=fig, ax=ax)\n",
              "plt.xlabel('SR_3')\n",
              "_ = plt.ylabel('count()')"
            ],
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              "AAAU5v8D+Gj3ewg+QbMAAAAASUVORK5CYII=\n",
              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-a98828db-7205-4080-b433-c48f6f3fd5e4\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-a98828db-7205-4080-b433-c48f6f3fd5e4\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<google.colab._quickchart_helpers.SectionTitle at 0x7854bb572410>"
            ],
            "text/html": [
              "<h4 class=\"colab-quickchart-section-title\">Values</h4>\n",
              "<style>\n",
              "  .colab-quickchart-section-title {\n",
              "      clear: both;\n",
              "  }\n",
              "</style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "raster_dataframe['SR_1'].plot(kind='line', figsize=(8, 4), title='SR_1')\n",
              "plt.gca().spines[['top', 'right']].set_visible(False)"
            ],
            "text/html": [
              "      <div class=\"colab-quickchart-chart-with-code\" id=\"chart-3c3ce565-afc2-42da-9bba-c698169c57d8\">\n",
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              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-3c3ce565-afc2-42da-9bba-c698169c57d8\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-3c3ce565-afc2-42da-9bba-c698169c57d8\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        }
      ]
    }
  ]
}