Dealing_with_lidar_data (3).ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Dealing_with_lidar_data.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "czcwxjzevUcE"
      },
      "source": [
        "**Download (if not already downloaded), then upload the txt. file to colab to run code.**\n",
        "\n",
        "https://drive.google.com/file/d/1CnCDpMl9y4iup3bMu8QiCI4asl5WPkY_/view?usp=sharing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ye7Yt-dXLcmD"
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pUwuEFXcLlTQ"
      },
      "source": [
        "# Opening the lidar data \n",
        "\n",
        "def open_lidar(filename, verbose=False):\n",
        "    \"\"\"Method for opening LiDAR text files and handling possible line errors\n",
        "    \"\"\"\n",
        "    with open(filename, \"r\") as f:\n",
        "        lines = f.readlines()\n",
        "\n",
        "    new_lines = list()\n",
        "    for line in lines:\n",
        "\n",
        "        try:\n",
        "            new_lines.append([float(val) for val in line.split()])\n",
        "\n",
        "        except Exception as e:\n",
        "            if verbose:\n",
        "                print(line)\n",
        "\n",
        "    new_lines = pd.DataFrame(new_lines)\n",
        "    new_lines = new_lines.rename(columns={0: \"x\", 1: \"y\", 2: \"z\"})\n",
        "\n",
        "    return new_lines"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NNNFdDiALlf3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 248
        },
        "outputId": "04e62465-5a97-4c24-aaf0-f5a2e2f21ca9"
      },
      "source": [
        "# View sample of the lidar data \n",
        "# Must download N092E301.txt\n",
        "from random import sample\n",
        "\n",
        "data = open_lidar(\"N092E301.txt\")\n",
        "\n",
        "sample_data = data.sample(n=5000, random_state=1)\n",
        "\n",
        "\n",
        "from mpl_toolkits import mplot3d\n",
        "%matplotlib inline\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "fig = plt.figure()\n",
        "ax = plt.axes(projection='3d')\n",
        "\n",
        "ax.scatter3D(sample_data[\"x\"], sample_data[\"y\"], sample_data[\"z\"])\n",
        "ax.view_init(60, 35)"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LAmqMdbwVdaH"
      },
      "source": [
        "# Visualize and rotate the the data \n",
        "\n",
        "\"\"\"Title: How to automate LiDAR point cloud sub-samplong with python\n",
        "Author: Florent Poux, Ph.D\n",
        "Date: July 19, 2021\n",
        "Availability: https://towardsdatascience.com/how-to-automate-lidar-point-cloud-processing-with-python-a027454a536c \"\"\"\n",
        "\n",
        "def visualize_rotate(data):\n",
        "    x_eye, y_eye, z_eye = 1.25, 1.25, 0.8\n",
        "    frames=[]\n",
        "\n",
        "    def rotate_z(x, y, z, theta):\n",
        "        w = x+1j*y\n",
        "        return np.real(np.exp(1j*theta)*w), np.imag(np.exp(1j*theta)*w), z\n",
        "\n",
        "    for t in np.arange(0, 10.26, 0.1):\n",
        "        xe, ye, ze = rotate_z(x_eye, y_eye, z_eye, -t)\n",
        "        frames.append(dict(layout=dict(scene=dict(camera=dict(eye=dict(x=xe, y=ye, z=ze))))))\n",
        "    fig = go.Figure(data=data,\n",
        "                    layout=go.Layout(\n",
        "                        updatemenus=[dict(type='buttons',\n",
        "                                    showactive=False,\n",
        "                                    y=1,\n",
        "                                    x=0.8,\n",
        "                                    xanchor='left',\n",
        "                                    yanchor='bottom',\n",
        "                                    pad=dict(t=45, r=10),\n",
        "                                    buttons=[dict(label='Play',\n",
        "                                                    method='animate',\n",
        "                                                    args=[None, dict(frame=dict(duration=50, redraw=True),\n",
        "                                                                    transition=dict(duration=0),\n",
        "                                                                    fromcurrent=True,\n",
        "                                                                    mode='immediate'\n",
        "                                                                    )]\n",
        "                                                    )\n",
        "                                            ]\n",
        "                                    )\n",
        "                                ]\n",
        "                    ),\n",
        "                    frames=frames\n",
        "            )\n",
        "\n",
        "    return fig"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mGktL0KUjzhF"
      },
      "source": [
        "import plotly.graph_objects as go"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WCaFVCziVgy7"
      },
      "source": [
        "def pcshow(xs,ys,zs):\n",
        "    data=[go.Scatter3d(x=xs, y=ys, z=zs,\n",
        "                                   mode='markers')]\n",
        "    fig = visualize_rotate(data)\n",
        "    fig.update_traces(marker=dict(size=2,\n",
        "                      line=dict(width=2,\n",
        "                      color='chartreuse')),\n",
        "                      selector=dict(mode='markers'))\n",
        "    fig.show()"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dO8JWe-RVcut",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "857e80b9-abd5-4bc6-8a99-d54e80893bb3"
      },
      "source": [
        "pcshow(sample_data[\"x\"], sample_data[\"y\"], sample_data[\"z\"])"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
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              "                        }).then(function(){\n",
              "                            \n",
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              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
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              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
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              "\n",
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              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
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              "                };\n",
              "                \n",
              "            </script>\n",
              "        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XTe4Jf7NFABE",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "outputId": "aed0598b-4432-41a4-ff93-987d341e39ce"
      },
      "source": [
        "# Placing the lidar data into a dataframe\n",
        "full_data = pd.DataFrame({'X': data[\"x\"], 'Y': data[\"y\"], 'Z': data[\"z\"]})\n",
        "full_data"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>X</th>\n",
              "      <th>Y</th>\n",
              "      <th>Z</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>5280001.36</td>\n",
              "      <td>3904999.68</td>\n",
              "      <td>942.85</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>5280003.49</td>\n",
              "      <td>3904999.18</td>\n",
              "      <td>999.29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>5280006.56</td>\n",
              "      <td>3904999.77</td>\n",
              "      <td>998.73</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
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              "      <td>3904998.99</td>\n",
              "      <td>964.97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5193268</th>\n",
              "      <td>5284965.43</td>\n",
              "      <td>3900001.15</td>\n",
              "      <td>1009.25</td>\n",
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              "    <tr>\n",
              "      <th>5193269</th>\n",
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              "      <td>3900000.57</td>\n",
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              "    <tr>\n",
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              "    <tr>\n",
              "      <th>5193271</th>\n",
              "      <td>5284971.42</td>\n",
              "      <td>3900001.16</td>\n",
              "      <td>1010.88</td>\n",
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              "    <tr>\n",
              "      <th>5193272</th>\n",
              "      <td>5284994.33</td>\n",
              "      <td>3900000.50</td>\n",
              "      <td>1009.86</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5193273 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                  X           Y        Z\n",
              "0        5280001.36  3904999.68   942.85\n",
              "1        5280003.49  3904999.18   999.29\n",
              "2        5280006.56  3904999.77   998.73\n",
              "3        5280004.77  3904999.22   985.39\n",
              "4        5280005.16  3904998.99   964.97\n",
              "...             ...         ...      ...\n",
              "5193268  5284965.43  3900001.15  1009.25\n",
              "5193269  5284962.23  3900000.57  1009.20\n",
              "5193270  5284967.88  3900000.49  1008.97\n",
              "5193271  5284971.42  3900001.16  1010.88\n",
              "5193272  5284994.33  3900000.50  1009.86\n",
              "\n",
              "[5193273 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "v71f0sRgoadz",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "45eb7a47-2ca3-47d7-e7c7-287592375894"
      },
      "source": [
        "# Finding the maximum and minimum x values of the lidar data\n",
        "x_max = full_data['X'].max()\n",
        "print(x_max)\n",
        "x_min = full_data['X'].min()\n",
        "print(x_min)\n",
        "\n",
        "# Finding the maximum and minimum y values of the lidar data\n",
        "y_max = full_data['Y'].max()\n",
        "print(y_max)\n",
        "y_min = full_data['Y'].min()\n",
        "print(y_min)\n",
        "\n",
        "# Calculating the amount we should increment x and y by to create\n",
        "# a complete and evenly space grid\n",
        "x_increment = (x_max - x_min) / 1000\n",
        "y_increment = (y_max - y_min) / 1000\n",
        "print(f'x_increment: {x_increment}')\n",
        "print(f'y_increment: {y_increment}')\n"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "5284999.99\n",
            "5280000.0\n",
            "3905000.0\n",
            "3900000.01\n",
            "x_increment: 4.999990000000223\n",
            "y_increment: 4.999990000000223\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0xFTbE4E9HqA"
      },
      "source": [
        "height = 2048\n",
        "width = 2048\n",
        "# landmarks_array = []\n",
        "i , j = 0, 0\n",
        "x = x_min\n",
        "y = y_min\n",
        "new_x_increment = (x_max - x_min) / height\n",
        "new_y_increment = (y_max - y_min) / height"
      ],
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Sz45AVg8Xi4c"
      },
      "source": [
        "# grouping function to be used by groupby method\n",
        "def GroupLidarPoints(df, ind, col_1, col_2):\n",
        "  # for the x values\n",
        "  x = df[col_1].loc[ind]\n",
        "  x_group = int((x - x_min) / x_increment) + 1\n",
        "\n",
        "  # for the y values\n",
        "  y = df[col_2].loc[ind]\n",
        "  y_group = int((y - y_min) / y_increment)\n",
        "  return f'group {(y_group * width) + x_group}'"
      ],
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9l1giNjlXo1R"
      },
      "source": [
        "# grouping the lidar data\n",
        "\n",
        "grouped_lidar_df = full_data.groupby(lambda X: GroupLidarPoints(full_data, X, 'X', 'Y'))"
      ],
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "id": "VZvrX8Ab37nm",
        "outputId": "00721034-8636-4656-8084-77480bcd38eb"
      },
      "source": [
        "grouped_lidar_df.count()"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "\n",
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              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>X</th>\n",
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              "      <th>Z</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>group 1</th>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>group 10</th>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>group 100</th>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>group 1000</th>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>group 1000000</th>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>group 999995</th>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>group 999996</th>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>group 999997</th>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>group 999998</th>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>group 999999</th>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>998974 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                X   Y   Z\n",
              "group 1         2   2   2\n",
              "group 10        3   3   3\n",
              "group 100       3   3   3\n",
              "group 1000      2   2   2\n",
              "group 1000000  14  14  14\n",
              "...            ..  ..  ..\n",
              "group 999995   12  12  12\n",
              "group 999996    9   9   9\n",
              "group 999997    8   8   8\n",
              "group 999998   12  12  12\n",
              "group 999999   14  14  14\n",
              "\n",
              "[998974 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "D2KPACES9bxE"
      },
      "source": [
        "Creating Heatmap"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-D68VFCGoYLf"
      },
      "source": [
        "# creating an empty dataframe with 1000 rows and colmuns that with hold the \n",
        "# grouped\n",
        "columns= [x for x in range(int(x_min), round(x_max), round(x_increment))]\n",
        "index= [x for x in range(int(y_min), round(y_max), round(y_increment))]\n",
        "\n",
        "empty_df = pd.DataFrame(data=np.zeros((1000, 1000)), columns= columns, index = index)"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "osMEiH5_BXNl",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "outputId": "f06c56fb-bd90-464e-9a23-8fa0bde10d6d"
      },
      "source": [
        "full_data"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>X</th>\n",
              "      <th>Y</th>\n",
              "      <th>Z</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>5280001.36</td>\n",
              "      <td>3904999.68</td>\n",
              "      <td>942.85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>5280003.49</td>\n",
              "      <td>3904999.18</td>\n",
              "      <td>999.29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>5280006.56</td>\n",
              "      <td>3904999.77</td>\n",
              "      <td>998.73</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>5280004.77</td>\n",
              "      <td>3904999.22</td>\n",
              "      <td>985.39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5280005.16</td>\n",
              "      <td>3904998.99</td>\n",
              "      <td>964.97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5193268</th>\n",
              "      <td>5284965.43</td>\n",
              "      <td>3900001.15</td>\n",
              "      <td>1009.25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5193269</th>\n",
              "      <td>5284962.23</td>\n",
              "      <td>3900000.57</td>\n",
              "      <td>1009.20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5193270</th>\n",
              "      <td>5284967.88</td>\n",
              "      <td>3900000.49</td>\n",
              "      <td>1008.97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5193271</th>\n",
              "      <td>5284971.42</td>\n",
              "      <td>3900001.16</td>\n",
              "      <td>1010.88</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5193272</th>\n",
              "      <td>5284994.33</td>\n",
              "      <td>3900000.50</td>\n",
              "      <td>1009.86</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5193273 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                  X           Y        Z\n",
              "0        5280001.36  3904999.68   942.85\n",
              "1        5280003.49  3904999.18   999.29\n",
              "2        5280006.56  3904999.77   998.73\n",
              "3        5280004.77  3904999.22   985.39\n",
              "4        5280005.16  3904998.99   964.97\n",
              "...             ...         ...      ...\n",
              "5193268  5284965.43  3900001.15  1009.25\n",
              "5193269  5284962.23  3900000.57  1009.20\n",
              "5193270  5284967.88  3900000.49  1008.97\n",
              "5193271  5284971.42  3900001.16  1010.88\n",
              "5193272  5284994.33  3900000.50  1009.86\n",
              "\n",
              "[5193273 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Jt5bhCwdtEiA"
      },
      "source": [
        "# Find the group each x and y in the lidar data belongs to and increment the \n",
        "# value that group holds by 1\n",
        "for x in range(full_data.shape[0]):\n",
        "  x_dummy = full_data['X'].iloc[x]\n",
        "  y_dummy = full_data['Y'].iloc[x]\n",
        "  \n",
        "  x_index = ((x_dummy - int(x_min)) / round(x_increment)) - 1\n",
        "  y_index = ((y_dummy - int(y_min)) / round(y_increment)) - 1\n",
        "  empty_df.iloc[int(y_index), int(x_index)] = empty_df.iloc[int(y_index), int(x_index)] + 1"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "AleDJzRu9QzM",
        "outputId": "e23068af-cc2f-405b-8f96-a99444cbf683"
      },
      "source": [
        "empty_df"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    }\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>5280000</th>\n",
              "      <th>5280005</th>\n",
              "      <th>5280010</th>\n",
              "      <th>5280015</th>\n",
              "      <th>5280020</th>\n",
              "      <th>5280025</th>\n",
              "      <th>5280030</th>\n",
              "      <th>5280035</th>\n",
              "      <th>5280040</th>\n",
              "      <th>5280045</th>\n",
              "      <th>5280050</th>\n",
              "      <th>5280055</th>\n",
              "      <th>5280060</th>\n",
              "      <th>5280065</th>\n",
              "      <th>5280070</th>\n",
              "      <th>5280075</th>\n",
              "      <th>5280080</th>\n",
              "      <th>5280085</th>\n",
              "      <th>5280090</th>\n",
              "      <th>5280095</th>\n",
              "      <th>5280100</th>\n",
              "      <th>5280105</th>\n",
              "      <th>5280110</th>\n",
              "      <th>5280115</th>\n",
              "      <th>5280120</th>\n",
              "      <th>5280125</th>\n",
              "      <th>5280130</th>\n",
              "      <th>5280135</th>\n",
              "      <th>5280140</th>\n",
              "      <th>5280145</th>\n",
              "      <th>5280150</th>\n",
              "      <th>5280155</th>\n",
              "      <th>5280160</th>\n",
              "      <th>5280165</th>\n",
              "      <th>5280170</th>\n",
              "      <th>5280175</th>\n",
              "      <th>5280180</th>\n",
              "      <th>5280185</th>\n",
              "      <th>5280190</th>\n",
              "      <th>5280195</th>\n",
              "      <th>...</th>\n",
              "      <th>5284800</th>\n",
              "      <th>5284805</th>\n",
              "      <th>5284810</th>\n",
              "      <th>5284815</th>\n",
              "      <th>5284820</th>\n",
              "      <th>5284825</th>\n",
              "      <th>5284830</th>\n",
              "      <th>5284835</th>\n",
              "      <th>5284840</th>\n",
              "      <th>5284845</th>\n",
              "      <th>5284850</th>\n",
              "      <th>5284855</th>\n",
              "      <th>5284860</th>\n",
              "      <th>5284865</th>\n",
              "      <th>5284870</th>\n",
              "      <th>5284875</th>\n",
              "      <th>5284880</th>\n",
              "      <th>5284885</th>\n",
              "      <th>5284890</th>\n",
              "      <th>5284895</th>\n",
              "      <th>5284900</th>\n",
              "      <th>5284905</th>\n",
              "      <th>5284910</th>\n",
              "      <th>5284915</th>\n",
              "      <th>5284920</th>\n",
              "      <th>5284925</th>\n",
              "      <th>5284930</th>\n",
              "      <th>5284935</th>\n",
              "      <th>5284940</th>\n",
              "      <th>5284945</th>\n",
              "      <th>5284950</th>\n",
              "      <th>5284955</th>\n",
              "      <th>5284960</th>\n",
              "      <th>5284965</th>\n",
              "      <th>5284970</th>\n",
              "      <th>5284975</th>\n",
              "      <th>5284980</th>\n",
              "      <th>5284985</th>\n",
              "      <th>5284990</th>\n",
              "      <th>5284995</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3900000</th>\n",
              "      <td>10.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>...</td>\n",
              "      <td>28.0</td>\n",
              "      <td>19.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>23.0</td>\n",
              "      <td>24.0</td>\n",
              "      <td>20.0</td>\n",
              "      <td>23.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3900005</th>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>...</td>\n",
              "      <td>14.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3900010</th>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>...</td>\n",
              "      <td>15.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>18.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>19.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3900015</th>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>...</td>\n",
              "      <td>14.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3900020</th>\n",
              "      <td>7.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>...</td>\n",
              "      <td>12.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904975</th>\n",
              "      <td>24.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>18.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904980</th>\n",
              "      <td>30.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904985</th>\n",
              "      <td>17.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>20.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>18.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904990</th>\n",
              "      <td>25.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904995</th>\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>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</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",
              "      <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>1.0</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",
              "      <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>...</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>1.0</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",
              "      <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",
              "      <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",
              "      <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>1000 rows × 1000 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "         5280000  5280005  5280010  5280015  ...  5284980  5284985  5284990  5284995\n",
              "3900000     10.0      7.0      4.0      6.0  ...     13.0     21.0      7.0      0.0\n",
              "3900005      5.0      3.0      3.0      2.0  ...      7.0     13.0     13.0      0.0\n",
              "3900010      5.0      3.0      2.0      3.0  ...      7.0     11.0     19.0      0.0\n",
              "3900015      5.0      2.0      3.0      3.0  ...      8.0      8.0      7.0      0.0\n",
              "3900020      7.0      2.0      3.0      3.0  ...      6.0      6.0      6.0      0.0\n",
              "...          ...      ...      ...      ...  ...      ...      ...      ...      ...\n",
              "3904975     24.0     14.0     21.0     18.0  ...      2.0      1.0      2.0      0.0\n",
              "3904980     30.0     12.0      9.0      9.0  ...      1.0      3.0      3.0      0.0\n",
              "3904985     17.0     13.0     12.0     11.0  ...      2.0      3.0      1.0      0.0\n",
              "3904990     25.0     15.0     11.0     15.0  ...      2.0      3.0      4.0      0.0\n",
              "3904995      0.0      0.0      0.0      0.0  ...      0.0      0.0      0.0      0.0\n",
              "\n",
              "[1000 rows x 1000 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NrTkldWnknC6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 304
        },
        "outputId": "291e9e36-6f3c-4388-b2ca-2849e35f731c"
      },
      "source": [
        "# Heatmap of the distribution of LiDAR points\n",
        "\n",
        "import seaborn as sns\n",
        "ax = sns.heatmap(empty_df, cmap='coolwarm')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7xKgVm7tCUXl",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7320aa99-0682-41c1-a669-0ddeb611e371"
      },
      "source": [
        "# Viewing the shape of the dataframe\n",
        "empty_df.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1000, 1000)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EUVRBZ5jsfv_",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "5f99ae00-4390-4445-c243-e4fb218b1112"
      },
      "source": [
        "# View the dataframe\n",
        "empty_df.tail(50)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>5280000</th>\n",
              "      <th>5280005</th>\n",
              "      <th>5280010</th>\n",
              "      <th>5280015</th>\n",
              "      <th>5280020</th>\n",
              "      <th>5280025</th>\n",
              "      <th>5280030</th>\n",
              "      <th>5280035</th>\n",
              "      <th>5280040</th>\n",
              "      <th>5280045</th>\n",
              "      <th>5280050</th>\n",
              "      <th>5280055</th>\n",
              "      <th>5280060</th>\n",
              "      <th>5280065</th>\n",
              "      <th>5280070</th>\n",
              "      <th>5280075</th>\n",
              "      <th>5280080</th>\n",
              "      <th>5280085</th>\n",
              "      <th>5280090</th>\n",
              "      <th>5280095</th>\n",
              "      <th>5280100</th>\n",
              "      <th>5280105</th>\n",
              "      <th>5280110</th>\n",
              "      <th>5280115</th>\n",
              "      <th>5280120</th>\n",
              "      <th>5280125</th>\n",
              "      <th>5280130</th>\n",
              "      <th>5280135</th>\n",
              "      <th>5280140</th>\n",
              "      <th>5280145</th>\n",
              "      <th>5280150</th>\n",
              "      <th>5280155</th>\n",
              "      <th>5280160</th>\n",
              "      <th>5280165</th>\n",
              "      <th>5280170</th>\n",
              "      <th>5280175</th>\n",
              "      <th>5280180</th>\n",
              "      <th>5280185</th>\n",
              "      <th>5280190</th>\n",
              "      <th>5280195</th>\n",
              "      <th>...</th>\n",
              "      <th>5284800</th>\n",
              "      <th>5284805</th>\n",
              "      <th>5284810</th>\n",
              "      <th>5284815</th>\n",
              "      <th>5284820</th>\n",
              "      <th>5284825</th>\n",
              "      <th>5284830</th>\n",
              "      <th>5284835</th>\n",
              "      <th>5284840</th>\n",
              "      <th>5284845</th>\n",
              "      <th>5284850</th>\n",
              "      <th>5284855</th>\n",
              "      <th>5284860</th>\n",
              "      <th>5284865</th>\n",
              "      <th>5284870</th>\n",
              "      <th>5284875</th>\n",
              "      <th>5284880</th>\n",
              "      <th>5284885</th>\n",
              "      <th>5284890</th>\n",
              "      <th>5284895</th>\n",
              "      <th>5284900</th>\n",
              "      <th>5284905</th>\n",
              "      <th>5284910</th>\n",
              "      <th>5284915</th>\n",
              "      <th>5284920</th>\n",
              "      <th>5284925</th>\n",
              "      <th>5284930</th>\n",
              "      <th>5284935</th>\n",
              "      <th>5284940</th>\n",
              "      <th>5284945</th>\n",
              "      <th>5284950</th>\n",
              "      <th>5284955</th>\n",
              "      <th>5284960</th>\n",
              "      <th>5284965</th>\n",
              "      <th>5284970</th>\n",
              "      <th>5284975</th>\n",
              "      <th>5284980</th>\n",
              "      <th>5284985</th>\n",
              "      <th>5284990</th>\n",
              "      <th>5284995</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3904750</th>\n",
              "      <td>11.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904755</th>\n",
              "      <td>13.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>...</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904760</th>\n",
              "      <td>10.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904765</th>\n",
              "      <td>20.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904770</th>\n",
              "      <td>16.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904775</th>\n",
              "      <td>22.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904780</th>\n",
              "      <td>18.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904785</th>\n",
              "      <td>13.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904790</th>\n",
              "      <td>13.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904795</th>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904800</th>\n",
              "      <td>11.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904805</th>\n",
              "      <td>8.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904810</th>\n",
              "      <td>11.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904815</th>\n",
              "      <td>16.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904820</th>\n",
              "      <td>10.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904825</th>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904830</th>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904835</th>\n",
              "      <td>14.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904840</th>\n",
              "      <td>12.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904845</th>\n",
              "      <td>9.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904850</th>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904855</th>\n",
              "      <td>9.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904860</th>\n",
              "      <td>11.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904865</th>\n",
              "      <td>11.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904870</th>\n",
              "      <td>18.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904875</th>\n",
              "      <td>15.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>...</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904880</th>\n",
              "      <td>13.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904885</th>\n",
              "      <td>10.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904890</th>\n",
              "      <td>12.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904895</th>\n",
              "      <td>16.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904900</th>\n",
              "      <td>17.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904905</th>\n",
              "      <td>15.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904910</th>\n",
              "      <td>12.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904915</th>\n",
              "      <td>17.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904920</th>\n",
              "      <td>17.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904925</th>\n",
              "      <td>20.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904930</th>\n",
              "      <td>27.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904935</th>\n",
              "      <td>21.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904940</th>\n",
              "      <td>15.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>...</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904945</th>\n",
              "      <td>12.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>...</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904950</th>\n",
              "      <td>24.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>...</td>\n",
              "      <td>1.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904955</th>\n",
              "      <td>24.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904960</th>\n",
              "      <td>13.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904965</th>\n",
              "      <td>13.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>18.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>...</td>\n",
              "      <td>12.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904970</th>\n",
              "      <td>16.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>18.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>...</td>\n",
              "      <td>8.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904975</th>\n",
              "      <td>24.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>18.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904980</th>\n",
              "      <td>30.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904985</th>\n",
              "      <td>17.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>20.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>18.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904990</th>\n",
              "      <td>25.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3904995</th>\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>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</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",
              "      <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>1.0</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",
              "      <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>...</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>1.0</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",
              "      <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",
              "      <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",
              "      <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>50 rows × 1000 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "         5280000  5280005  5280010  5280015  ...  5284980  5284985  5284990  5284995\n",
              "3904750     11.0      4.0      7.0      6.0  ...      4.0      1.0      2.0      0.0\n",
              "3904755     13.0      6.0      5.0      3.0  ...      3.0      2.0      4.0      0.0\n",
              "3904760     10.0      7.0      3.0      3.0  ...      3.0      3.0      2.0      0.0\n",
              "3904765     20.0      6.0      3.0      9.0  ...      5.0      2.0      5.0      0.0\n",
              "3904770     16.0      5.0      6.0      8.0  ...      1.0      4.0      4.0      0.0\n",
              "3904775     22.0      9.0      9.0      5.0  ...      2.0      4.0      1.0      0.0\n",
              "3904780     18.0      5.0      6.0      3.0  ...      1.0      2.0      5.0      0.0\n",
              "3904785     13.0      5.0      4.0      2.0  ...      4.0      2.0      2.0      0.0\n",
              "3904790     13.0      4.0      4.0      6.0  ...      3.0      1.0      4.0      0.0\n",
              "3904795      9.0      5.0      6.0      7.0  ...      3.0      3.0      3.0      0.0\n",
              "3904800     11.0      6.0      6.0      5.0  ...      3.0      2.0      1.0      0.0\n",
              "3904805      8.0      7.0      6.0      3.0  ...      2.0      4.0      3.0      0.0\n",
              "3904810     11.0      6.0      5.0      5.0  ...      2.0      4.0      2.0      0.0\n",
              "3904815     16.0      4.0      2.0      7.0  ...      7.0      4.0      7.0      0.0\n",
              "3904820     10.0      6.0      7.0      5.0  ...      4.0      8.0      6.0      0.0\n",
              "3904825      9.0      5.0      9.0      4.0  ...      6.0      4.0      6.0      0.0\n",
              "3904830      8.0      6.0      6.0      3.0  ...      3.0      8.0      6.0      0.0\n",
              "3904835     14.0      4.0      5.0      4.0  ...      3.0      5.0      3.0      0.0\n",
              "3904840     12.0      5.0      6.0      4.0  ...      1.0      3.0      3.0      0.0\n",
              "3904845      9.0      4.0      5.0      6.0  ...      3.0      3.0      2.0      0.0\n",
              "3904850      9.0      6.0      5.0      5.0  ...      3.0      2.0      3.0      0.0\n",
              "3904855      9.0      8.0      3.0      6.0  ...      2.0      3.0      3.0      0.0\n",
              "3904860     11.0      6.0      6.0      5.0  ...      3.0      3.0      1.0      0.0\n",
              "3904865     11.0      5.0      6.0      5.0  ...      2.0      2.0      4.0      0.0\n",
              "3904870     18.0      4.0      5.0      3.0  ...      3.0      3.0      2.0      0.0\n",
              "3904875     15.0      6.0      4.0      7.0  ...      3.0      2.0      3.0      0.0\n",
              "3904880     13.0      5.0      7.0     12.0  ...      2.0      2.0      4.0      0.0\n",
              "3904885     10.0      9.0     12.0      9.0  ...      4.0      3.0      1.0      0.0\n",
              "3904890     12.0     10.0     16.0      8.0  ...      3.0      2.0      4.0      0.0\n",
              "3904895     16.0      8.0      9.0     10.0  ...      1.0      4.0      2.0      0.0\n",
              "3904900     17.0     12.0      4.0      6.0  ...      4.0      2.0      2.0      0.0\n",
              "3904905     15.0      8.0      8.0      9.0  ...      1.0      3.0      3.0      0.0\n",
              "3904910     12.0      6.0     12.0     12.0  ...      4.0      4.0      1.0      0.0\n",
              "3904915     17.0     13.0      9.0      7.0  ...      2.0      3.0      4.0      0.0\n",
              "3904920     17.0     17.0     14.0      7.0  ...      4.0      3.0      5.0      0.0\n",
              "3904925     20.0     16.0      9.0     12.0  ...      4.0      5.0      2.0      0.0\n",
              "3904930     27.0      6.0     11.0     12.0  ...      2.0      4.0      2.0      1.0\n",
              "3904935     21.0     17.0     13.0      7.0  ...      5.0      3.0      3.0      0.0\n",
              "3904940     15.0      9.0     12.0      8.0  ...      3.0      3.0      2.0      0.0\n",
              "3904945     12.0      7.0      5.0      6.0  ...      2.0      4.0      2.0      0.0\n",
              "3904950     24.0      9.0      7.0      4.0  ...      3.0      1.0      4.0      0.0\n",
              "3904955     24.0      9.0     11.0     12.0  ...      2.0      4.0      3.0      0.0\n",
              "3904960     13.0     10.0     13.0     13.0  ...      3.0      2.0      2.0      0.0\n",
              "3904965     13.0     12.0     13.0      8.0  ...      2.0      4.0      2.0      0.0\n",
              "3904970     16.0     17.0      9.0     13.0  ...      1.0      3.0      4.0      0.0\n",
              "3904975     24.0     14.0     21.0     18.0  ...      2.0      1.0      2.0      0.0\n",
              "3904980     30.0     12.0      9.0      9.0  ...      1.0      3.0      3.0      0.0\n",
              "3904985     17.0     13.0     12.0     11.0  ...      2.0      3.0      1.0      0.0\n",
              "3904990     25.0     15.0     11.0     15.0  ...      2.0      3.0      4.0      0.0\n",
              "3904995      0.0      0.0      0.0      0.0  ...      0.0      0.0      0.0      0.0\n",
              "\n",
              "[50 rows x 1000 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    }
  ]
}