2024-03-17 18:28:15 +01:00
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{
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"cells": [
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{
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"cell_type": "code",
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2024-04-13 18:12:31 +02:00
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"execution_count": 1,
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2024-03-17 18:28:15 +01:00
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"metadata": {
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2024-04-13 18:12:31 +02:00
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"scrolled": true,
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"pycharm": {
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"is_executing": true
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"ExecuteTime": {
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"end_time": "2024-04-13T16:07:39.757038200Z",
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"start_time": "2024-04-13T16:07:01.476848900Z"
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}
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2024-03-17 18:28:15 +01:00
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2024-04-13 18:12:31 +02:00
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Requirement already satisfied: kaggle in \\\\files\\students\\s464914\\.appdata\\python\\python310\\site-packages (1.6.6)\n",
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"Requirement already satisfied: six>=1.10 in c:\\software\\python3\\lib\\site-packages (from kaggle) (1.16.0)\n",
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"Requirement already satisfied: certifi in c:\\software\\python3\\lib\\site-packages (from kaggle) (2023.7.22)\n",
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"Requirement already satisfied: urllib3 in c:\\software\\python3\\lib\\site-packages (from kaggle) (1.26.16)\n",
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"Requirement already satisfied: charset-normalizer<4,>=2 in c:\\software\\python3\\lib\\site-packages (from requests->kaggle) (3.2.0)\n",
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"Requirement already satisfied: idna<4,>=2.5 in c:\\software\\python3\\lib\\site-packages (from requests->kaggle) (3.4)\n",
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"Requirement already satisfied: colorama in c:\\software\\python3\\lib\\site-packages (from tqdm->kaggle) (0.4.6)\n",
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"[notice] A new release of pip is available: 23.0.1 -> 24.0\n",
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"[notice] To update, run: python3.exe -m pip install --upgrade pip\n"
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"[notice] To update, run: python3.exe -m pip install --upgrade pip\n"
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"Requirement already satisfied: scikit-learn in c:\\software\\python3\\lib\\site-packages (1.3.0)\n",
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"Note: you may need to restart the kernel to use updated packages.\n"
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"[notice] A new release of pip is available: 23.0.1 -> 24.0\n",
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"[notice] To update, run: python3.exe -m pip install --upgrade pip\n"
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"Requirement already satisfied: pillow>=6.2.0 in c:\\software\\python3\\lib\\site-packages (from matplotlib) (10.0.0)\n",
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"Note: you may need to restart the kernel to use updated packages.\n"
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"[notice] A new release of pip is available: 23.0.1 -> 24.0\n",
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"[notice] To update, run: python3.exe -m pip install --upgrade pip\n"
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]
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"Requirement already satisfied: geopandas in \\\\files\\students\\s464914\\.appdata\\python\\python310\\site-packages (0.14.3)\n",
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"Requirement already satisfied: fiona>=1.8.21 in \\\\files\\students\\s464914\\.appdata\\python\\python310\\site-packages (from geopandas) (1.9.6)\n",
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"Requirement already satisfied: packaging in c:\\software\\python3\\lib\\site-packages (from geopandas) (23.1)\n",
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"Requirement already satisfied: certifi in c:\\software\\python3\\lib\\site-packages (from fiona>=1.8.21->geopandas) (2023.7.22)\n",
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"Requirement already satisfied: click~=8.0 in c:\\software\\python3\\lib\\site-packages (from fiona>=1.8.21->geopandas) (8.1.7)\n",
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"Requirement already satisfied: click-plugins>=1.0 in \\\\files\\students\\s464914\\.appdata\\python\\python310\\site-packages (from fiona>=1.8.21->geopandas) (1.1.1)\n",
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"Requirement already satisfied: six in c:\\software\\python3\\lib\\site-packages (from fiona>=1.8.21->geopandas) (1.16.0)\n",
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"Requirement already satisfied: python-dateutil>=2.8.2 in c:\\software\\python3\\lib\\site-packages (from pandas>=1.4.0->geopandas) (2.8.2)\n",
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"Requirement already satisfied: pytz>=2020.1 in c:\\software\\python3\\lib\\site-packages (from pandas>=1.4.0->geopandas) (2023.3)\n",
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"Requirement already satisfied: tzdata>=2022.1 in c:\\software\\python3\\lib\\site-packages (from pandas>=1.4.0->geopandas) (2023.3)\n",
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"Requirement already satisfied: numpy>=1.21.0 in c:\\software\\python3\\lib\\site-packages (from pandas>=1.4.0->geopandas) (1.24.3)\n",
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"Requirement already satisfied: colorama in c:\\software\\python3\\lib\\site-packages (from click~=8.0->fiona>=1.8.21->geopandas) (0.4.6)\n",
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"Note: you may need to restart the kernel to use updated packages.\n"
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]
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},
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"text": [
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"\n",
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"[notice] A new release of pip is available: 23.0.1 -> 24.0\n",
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"[notice] To update, run: python3.exe -m pip install --upgrade pip\n"
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]
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}
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],
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2024-03-17 18:28:15 +01:00
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"source": [
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"%pip install --user kaggle \n",
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"%pip install --user pandas\n",
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"%pip install --user scikit-learn\n",
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"%pip install --user matplotlib\n",
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"%pip install --user geopandas"
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]
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},
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{
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"cell_type": "code",
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2024-04-13 17:39:48 +02:00
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"execution_count": 2,
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2024-03-17 18:42:28 +01:00
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-03-17T17:38:40.019389600Z",
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"start_time": "2024-03-17T17:38:36.535384600Z"
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}
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},
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2024-03-17 18:28:15 +01:00
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt \n",
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"import pandas as pd"
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]
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},
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{
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"cell_type": "code",
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2024-04-13 18:12:31 +02:00
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"execution_count": 4,
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"metadata": {
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"pycharm": {
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"is_executing": true
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"ExecuteTime": {
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"end_time": "2024-04-13T16:11:03.249257400Z",
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"start_time": "2024-04-13T16:10:58.745694100Z"
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}
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},
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"output_type": "stream",
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"text": [
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"Downloading forest-cover-type-dataset.zip to J:\\PycharmProjects\\ium_464914\n"
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]
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" 0%| | 0.00/11.2M [00:00<?, ?B/s]\n",
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" 9%|8 | 1.00M/11.2M [00:00<00:06, 1.56MB/s]\n",
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" 18%|#7 | 2.00M/11.2M [00:00<00:03, 3.10MB/s]\n",
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" 36%|###5 | 4.00M/11.2M [00:00<00:01, 6.25MB/s]\n",
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" 54%|#####3 | 6.00M/11.2M [00:01<00:00, 9.19MB/s]\n",
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" 81%|######## | 9.00M/11.2M [00:01<00:00, 13.0MB/s]\n",
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"source": [
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2024-04-13 17:39:48 +02:00
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"!kaggle datasets download -d uciml/forest-cover-type-dataset"
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2024-03-17 18:28:15 +01:00
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]
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},
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{
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"cell_type": "code",
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2024-04-13 18:12:31 +02:00
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"execution_count": 5,
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2024-03-17 18:42:28 +01:00
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"metadata": {
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"ExecuteTime": {
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2024-04-13 18:12:31 +02:00
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"end_time": "2024-04-13T16:11:41.214712500Z",
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"start_time": "2024-04-13T16:11:37.462860300Z"
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2024-03-17 18:42:28 +01:00
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}
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"outputs": [
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Archive: forest-cover-type-dataset.zip\n",
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" inflating: covtype.csv \n"
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]
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}
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],
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2024-03-17 18:28:15 +01:00
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"source": [
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2024-04-13 18:12:31 +02:00
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"!unzip -o forest-cover-type-dataset.zip "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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2024-04-13 17:39:48 +02:00
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"<h4>Zbiór</h4>"
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2024-03-17 18:28:15 +01:00
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]
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},
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{
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"cell_type": "code",
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2024-04-13 17:39:48 +02:00
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"execution_count": 30,
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2024-03-17 18:42:28 +01:00
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-03-17T17:38:46.756471100Z",
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"start_time": "2024-03-17T17:38:46.335674200Z"
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}
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},
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2024-03-17 18:28:15 +01:00
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"outputs": [
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{
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"data": {
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" <tr>\n",
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" <tr>\n",
|
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" <th>131114</th>\n",
|
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" <td>2962</td>\n",
|
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" <td>4</td>\n",
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|
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" <tr>\n",
|
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|
" <th>385769</th>\n",
|
|
|
|
|
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|
|
|
|
|
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|
|
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|
|
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|
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|
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|
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|
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|
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|
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|
|
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|
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|
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" <td>0</td>\n",
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" <td>0</td>\n",
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|
" <td>0</td>\n",
|
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" <td>1</td>\n",
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" </tr>\n",
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" <tr>\n",
|
|
|
|
|
" <th>161626</th>\n",
|
|
|
|
|
" <td>2950</td>\n",
|
|
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|
|
" <td>270</td>\n",
|
|
|
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|
" <td>4</td>\n",
|
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|
" <td>108</td>\n",
|
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|
" <td>15</td>\n",
|
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|
" <td>2053</td>\n",
|
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" <td>210</td>\n",
|
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" <td>241</td>\n",
|
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" <td>170</td>\n",
|
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" <td>2037</td>\n",
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" <td>...</td>\n",
|
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>2</td>\n",
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" </tr>\n",
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" <tr>\n",
|
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" <th>394880</th>\n",
|
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|
|
" <td>3051</td>\n",
|
|
|
|
|
" <td>155</td>\n",
|
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|
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" <td>22</td>\n",
|
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" <td>390</td>\n",
|
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" <td>70</td>\n",
|
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" <td>1871</td>\n",
|
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" <td>239</td>\n",
|
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" <td>236</td>\n",
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" <td>114</td>\n",
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" <td>1510</td>\n",
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" <td>0</td>\n",
|
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" <td>1</td>\n",
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|
" </tr>\n",
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|
" <tr>\n",
|
|
|
|
|
" <th>389492</th>\n",
|
|
|
|
|
" <td>3024</td>\n",
|
|
|
|
|
" <td>191</td>\n",
|
|
|
|
|
" <td>16</td>\n",
|
|
|
|
|
" <td>785</td>\n",
|
|
|
|
|
" <td>110</td>\n",
|
|
|
|
|
" <td>3000</td>\n",
|
|
|
|
|
" <td>218</td>\n",
|
|
|
|
|
" <td>251</td>\n",
|
|
|
|
|
" <td>162</td>\n",
|
|
|
|
|
" <td>1961</td>\n",
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>1</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
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|
" <td>0</td>\n",
|
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" <td>0</td>\n",
|
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|
" <td>0</td>\n",
|
|
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" <td>2</td>\n",
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|
|
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|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>52507</th>\n",
|
|
|
|
|
" <td>2714</td>\n",
|
|
|
|
|
" <td>349</td>\n",
|
|
|
|
|
" <td>18</td>\n",
|
|
|
|
|
" <td>67</td>\n",
|
|
|
|
|
" <td>20</td>\n",
|
|
|
|
|
" <td>1599</td>\n",
|
|
|
|
|
" <td>184</td>\n",
|
|
|
|
|
" <td>207</td>\n",
|
|
|
|
|
" <td>160</td>\n",
|
|
|
|
|
" <td>3234</td>\n",
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
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" <td>0</td>\n",
|
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" <td>0</td>\n",
|
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
|
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" <td>0</td>\n",
|
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" <td>2</td>\n",
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" </tr>\n",
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" </tbody>\n",
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|
"</table>\n",
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|
|
|
"<p>10 rows × 55 columns</p>\n",
|
|
|
|
|
"</div>"
|
|
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|
|
],
|
|
|
|
|
"text/plain": [
|
|
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|
|
" Elevation Aspect Slope Horizontal_Distance_To_Hydrology \\\n",
|
|
|
|
|
"318054 2517 271 12 272 \n",
|
|
|
|
|
"30504 2959 0 1 180 \n",
|
|
|
|
|
"349520 3093 54 19 42 \n",
|
|
|
|
|
"365645 2502 330 17 150 \n",
|
|
|
|
|
"131114 2962 4 13 95 \n",
|
|
|
|
|
"385769 3181 119 5 170 \n",
|
|
|
|
|
"161626 2950 270 4 108 \n",
|
|
|
|
|
"394880 3051 155 22 390 \n",
|
|
|
|
|
"389492 3024 191 16 785 \n",
|
|
|
|
|
"52507 2714 349 18 67 \n",
|
|
|
|
|
"\n",
|
|
|
|
|
" Vertical_Distance_To_Hydrology Horizontal_Distance_To_Roadways \\\n",
|
|
|
|
|
"318054 84 484 \n",
|
|
|
|
|
"30504 20 5960 \n",
|
|
|
|
|
"349520 -3 797 \n",
|
|
|
|
|
"365645 52 738 \n",
|
|
|
|
|
"131114 7 4270 \n",
|
|
|
|
|
"385769 -1 2416 \n",
|
|
|
|
|
"161626 15 2053 \n",
|
|
|
|
|
"394880 70 1871 \n",
|
|
|
|
|
"389492 110 3000 \n",
|
|
|
|
|
"52507 20 1599 \n",
|
|
|
|
|
"\n",
|
|
|
|
|
" Hillshade_9am Hillshade_Noon Hillshade_3pm \\\n",
|
|
|
|
|
"318054 189 244 193 \n",
|
|
|
|
|
"30504 217 236 156 \n",
|
|
|
|
|
"349520 227 196 94 \n",
|
|
|
|
|
"365645 177 216 178 \n",
|
|
|
|
|
"131114 202 214 148 \n",
|
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|
|
"385769 228 235 141 \n",
|
|
|
|
|
"161626 210 241 170 \n",
|
|
|
|
|
"394880 239 236 114 \n",
|
|
|
|
|
"389492 218 251 162 \n",
|
|
|
|
|
"52507 184 207 160 \n",
|
|
|
|
|
"\n",
|
|
|
|
|
" Horizontal_Distance_To_Fire_Points ... Soil_Type32 Soil_Type33 \\\n",
|
|
|
|
|
"318054 162 ... 0 0 \n",
|
|
|
|
|
"30504 3960 ... 0 0 \n",
|
|
|
|
|
"349520 1318 ... 0 0 \n",
|
|
|
|
|
"365645 510 ... 0 0 \n",
|
|
|
|
|
"131114 1999 ... 0 0 \n",
|
|
|
|
|
"385769 999 ... 0 0 \n",
|
|
|
|
|
"161626 2037 ... 0 0 \n",
|
|
|
|
|
"394880 1510 ... 0 0 \n",
|
|
|
|
|
"389492 1961 ... 0 1 \n",
|
|
|
|
|
"52507 3234 ... 0 0 \n",
|
|
|
|
|
"\n",
|
|
|
|
|
" Soil_Type34 Soil_Type35 Soil_Type36 Soil_Type37 Soil_Type38 \\\n",
|
|
|
|
|
"318054 0 0 0 0 0 \n",
|
|
|
|
|
"30504 0 0 0 0 0 \n",
|
|
|
|
|
"349520 0 0 0 0 0 \n",
|
|
|
|
|
"365645 0 0 0 0 0 \n",
|
|
|
|
|
"131114 0 0 0 0 0 \n",
|
|
|
|
|
"385769 0 0 0 0 0 \n",
|
|
|
|
|
"161626 0 0 0 0 0 \n",
|
|
|
|
|
"394880 0 0 0 0 0 \n",
|
|
|
|
|
"389492 0 0 0 0 0 \n",
|
|
|
|
|
"52507 0 0 0 0 0 \n",
|
|
|
|
|
"\n",
|
|
|
|
|
" Soil_Type39 Soil_Type40 Cover_Type \n",
|
|
|
|
|
"318054 0 0 2 \n",
|
|
|
|
|
"30504 0 0 2 \n",
|
|
|
|
|
"349520 0 0 1 \n",
|
|
|
|
|
"365645 0 0 6 \n",
|
|
|
|
|
"131114 0 0 2 \n",
|
|
|
|
|
"385769 0 0 1 \n",
|
|
|
|
|
"161626 0 0 2 \n",
|
|
|
|
|
"394880 0 0 1 \n",
|
|
|
|
|
"389492 0 0 2 \n",
|
|
|
|
|
"52507 0 0 2 \n",
|
|
|
|
|
"\n",
|
|
|
|
|
"[10 rows x 55 columns]"
|
|
|
|
|
]
|
2024-03-17 18:28:15 +01:00
|
|
|
|
},
|
2024-04-13 17:39:48 +02:00
|
|
|
|
"execution_count": 30,
|
2024-03-17 18:28:15 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2024-04-13 17:39:48 +02:00
|
|
|
|
"data = pd.read_csv(\"covtype.csv\")\n",
|
|
|
|
|
"data = data.sample(frac = 1)\n",
|
2024-03-17 18:28:15 +01:00
|
|
|
|
"data.head(10)"
|
|
|
|
|
]
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|
|
|
},
|
|
|
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|
{
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"source": [
|
|
|
|
|
"Podział na podzbiory"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2024-04-13 17:39:48 +02:00
|
|
|
|
"execution_count": 4,
|
2024-03-17 18:42:28 +01:00
|
|
|
|
"metadata": {
|
|
|
|
|
"ExecuteTime": {
|
|
|
|
|
"end_time": "2024-03-17T17:38:53.929532900Z",
|
|
|
|
|
"start_time": "2024-03-17T17:38:51.607851900Z"
|
|
|
|
|
}
|
|
|
|
|
},
|
2024-03-17 18:28:15 +01:00
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"from sklearn.model_selection import train_test_split\n",
|
2024-04-13 17:39:48 +02:00
|
|
|
|
"forest_train, forest_test = train_test_split(data, test_size=0.2, random_state=1)\n",
|
|
|
|
|
"forest_train, forest_val = train_test_split(forest_train, test_size=0.25, random_state=1)"
|
2024-03-17 18:28:15 +01:00
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"source": [
|
|
|
|
|
"<h4>Statystyki</h4>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"source": [
|
|
|
|
|
"Wielkości zbiorów"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2024-04-13 17:39:48 +02:00
|
|
|
|
"execution_count": 5,
|
2024-03-17 18:42:28 +01:00
|
|
|
|
"metadata": {
|
|
|
|
|
"ExecuteTime": {
|
|
|
|
|
"end_time": "2024-03-17T17:38:58.202546800Z",
|
|
|
|
|
"start_time": "2024-03-17T17:38:58.143643600Z"
|
|
|
|
|
}
|
|
|
|
|
},
|
2024-03-17 18:28:15 +01:00
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
2024-04-13 17:39:48 +02:00
|
|
|
|
"wielkość zbioru: (581012, 55)\n",
|
|
|
|
|
"wielkość zbioru treningowego: (348606, 55)\n",
|
|
|
|
|
"wielkość zbioru testującego: (116203, 55)\n",
|
|
|
|
|
"wielkość zbioru walidacyjnego: (116203, 55)\n"
|
2024-03-17 18:28:15 +01:00
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"print(f'wielkość zbioru: {data.shape}')\n",
|
2024-04-13 17:39:48 +02:00
|
|
|
|
"print(f'wielkość zbioru treningowego: {forest_train.shape}')\n",
|
|
|
|
|
"print(f'wielkość zbioru testującego: {forest_test.shape}')\n",
|
|
|
|
|
"print(f'wielkość zbioru walidacyjnego: {forest_val.shape}')"
|
2024-03-17 18:28:15 +01:00
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2024-03-17 18:42:28 +01:00
|
|
|
|
"execution_count": 9,
|
|
|
|
|
"metadata": {
|
|
|
|
|
"ExecuteTime": {
|
|
|
|
|
"end_time": "2024-03-17T17:39:01.338802400Z",
|
|
|
|
|
"start_time": "2024-03-17T17:39:01.252677700Z"
|
|
|
|
|
}
|
|
|
|
|
},
|
2024-03-17 18:28:15 +01:00
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
|
|
|
"<class 'pandas.core.frame.DataFrame'>\n",
|
2024-04-13 17:39:48 +02:00
|
|
|
|
"RangeIndex: 581012 entries, 0 to 581011\n",
|
|
|
|
|
"Data columns (total 55 columns):\n",
|
|
|
|
|
" # Column Non-Null Count Dtype\n",
|
|
|
|
|
"--- ------ -------------- -----\n",
|
|
|
|
|
" 0 Elevation 581012 non-null int64\n",
|
|
|
|
|
" 1 Aspect 581012 non-null int64\n",
|
|
|
|
|
" 2 Slope 581012 non-null int64\n",
|
|
|
|
|
" 3 Horizontal_Distance_To_Hydrology 581012 non-null int64\n",
|
|
|
|
|
" 4 Vertical_Distance_To_Hydrology 581012 non-null int64\n",
|
|
|
|
|
" 5 Horizontal_Distance_To_Roadways 581012 non-null int64\n",
|
|
|
|
|
" 6 Hillshade_9am 581012 non-null int64\n",
|
|
|
|
|
" 7 Hillshade_Noon 581012 non-null int64\n",
|
|
|
|
|
" 8 Hillshade_3pm 581012 non-null int64\n",
|
|
|
|
|
" 9 Horizontal_Distance_To_Fire_Points 581012 non-null int64\n",
|
|
|
|
|
" 10 Wilderness_Area1 581012 non-null int64\n",
|
|
|
|
|
" 11 Wilderness_Area2 581012 non-null int64\n",
|
|
|
|
|
" 12 Wilderness_Area3 581012 non-null int64\n",
|
|
|
|
|
" 13 Wilderness_Area4 581012 non-null int64\n",
|
|
|
|
|
" 14 Soil_Type1 581012 non-null int64\n",
|
|
|
|
|
" 15 Soil_Type2 581012 non-null int64\n",
|
|
|
|
|
" 16 Soil_Type3 581012 non-null int64\n",
|
|
|
|
|
" 17 Soil_Type4 581012 non-null int64\n",
|
|
|
|
|
" 18 Soil_Type5 581012 non-null int64\n",
|
|
|
|
|
" 19 Soil_Type6 581012 non-null int64\n",
|
|
|
|
|
" 20 Soil_Type7 581012 non-null int64\n",
|
|
|
|
|
" 21 Soil_Type8 581012 non-null int64\n",
|
|
|
|
|
" 22 Soil_Type9 581012 non-null int64\n",
|
|
|
|
|
" 23 Soil_Type10 581012 non-null int64\n",
|
|
|
|
|
" 24 Soil_Type11 581012 non-null int64\n",
|
|
|
|
|
" 25 Soil_Type12 581012 non-null int64\n",
|
|
|
|
|
" 26 Soil_Type13 581012 non-null int64\n",
|
|
|
|
|
" 27 Soil_Type14 581012 non-null int64\n",
|
|
|
|
|
" 28 Soil_Type15 581012 non-null int64\n",
|
|
|
|
|
" 29 Soil_Type16 581012 non-null int64\n",
|
|
|
|
|
" 30 Soil_Type17 581012 non-null int64\n",
|
|
|
|
|
" 31 Soil_Type18 581012 non-null int64\n",
|
|
|
|
|
" 32 Soil_Type19 581012 non-null int64\n",
|
|
|
|
|
" 33 Soil_Type20 581012 non-null int64\n",
|
|
|
|
|
" 34 Soil_Type21 581012 non-null int64\n",
|
|
|
|
|
" 35 Soil_Type22 581012 non-null int64\n",
|
|
|
|
|
" 36 Soil_Type23 581012 non-null int64\n",
|
|
|
|
|
" 37 Soil_Type24 581012 non-null int64\n",
|
|
|
|
|
" 38 Soil_Type25 581012 non-null int64\n",
|
|
|
|
|
" 39 Soil_Type26 581012 non-null int64\n",
|
|
|
|
|
" 40 Soil_Type27 581012 non-null int64\n",
|
|
|
|
|
" 41 Soil_Type28 581012 non-null int64\n",
|
|
|
|
|
" 42 Soil_Type29 581012 non-null int64\n",
|
|
|
|
|
" 43 Soil_Type30 581012 non-null int64\n",
|
|
|
|
|
" 44 Soil_Type31 581012 non-null int64\n",
|
|
|
|
|
" 45 Soil_Type32 581012 non-null int64\n",
|
|
|
|
|
" 46 Soil_Type33 581012 non-null int64\n",
|
|
|
|
|
" 47 Soil_Type34 581012 non-null int64\n",
|
|
|
|
|
" 48 Soil_Type35 581012 non-null int64\n",
|
|
|
|
|
" 49 Soil_Type36 581012 non-null int64\n",
|
|
|
|
|
" 50 Soil_Type37 581012 non-null int64\n",
|
|
|
|
|
" 51 Soil_Type38 581012 non-null int64\n",
|
|
|
|
|
" 52 Soil_Type39 581012 non-null int64\n",
|
|
|
|
|
" 53 Soil_Type40 581012 non-null int64\n",
|
|
|
|
|
" 54 Cover_Type 581012 non-null int64\n",
|
|
|
|
|
"dtypes: int64(55)\n",
|
|
|
|
|
"memory usage: 243.8 MB\n"
|
2024-03-17 18:28:15 +01:00
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"data.info()"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"source": [
|
2024-04-13 17:39:48 +02:00
|
|
|
|
"Nachylenie\n",
|
|
|
|
|
"\n"
|
2024-03-17 18:28:15 +01:00
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2024-03-17 18:42:28 +01:00
|
|
|
|
"execution_count": 10,
|
|
|
|
|
"metadata": {
|
|
|
|
|
"ExecuteTime": {
|
|
|
|
|
"end_time": "2024-03-17T17:39:04.561664800Z",
|
|
|
|
|
"start_time": "2024-03-17T17:39:04.530325200Z"
|
|
|
|
|
}
|
|
|
|
|
},
|
2024-03-17 18:28:15 +01:00
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
2024-04-13 17:39:48 +02:00
|
|
|
|
"Średnie nachylenie: 14.103703537964792\n",
|
|
|
|
|
"Maksymalne nachylenie: 66\n",
|
|
|
|
|
"Minimalne nachylenie: 0\n"
|
2024-03-17 18:28:15 +01:00
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2024-04-13 17:39:48 +02:00
|
|
|
|
"print(f'Średnie nachylenie: {data[\"Slope\"].mean()}')\n",
|
|
|
|
|
"print(f'Maksymalne nachylenie: {data[\"Slope\"].max()}')\n",
|
|
|
|
|
"print(f'Minimalne nachylenie: {data[\"Slope\"].min()}')"
|
2024-03-17 18:28:15 +01:00
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2024-03-17 18:42:28 +01:00
|
|
|
|
"execution_count": 12,
|
2024-03-17 18:28:15 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
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"data": {
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2024-04-13 17:39:48 +02:00
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"text/plain": [
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"<Figure size 3000x5000 with 10 Axes>"
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]
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2024-03-17 18:28:15 +01:00
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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2024-04-13 17:39:48 +02:00
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"import seaborn as sns\n",
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"features = data.loc[:,'Elevation':'Horizontal_Distance_To_Fire_Points']\n",
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"\n",
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"plt.figure(figsize=(30, 50))\n",
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"for i,col in enumerate(features.columns.values):\n",
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" plt.subplot(5,2,i+1)\n",
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" sns.boxplot(x=data['Cover_Type'], y=col, data=data)\n",
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" plt.title(col, fontsize=20)\n",
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" \n",
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2024-03-17 18:28:15 +01:00
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"plt.show()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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2024-04-13 17:39:48 +02:00
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"Normalizacja"
|
2024-03-17 18:28:15 +01:00
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]
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},
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{
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"cell_type": "code",
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2024-04-13 17:39:48 +02:00
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"execution_count": 31,
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"metadata": {},
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"outputs": [
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{
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"data": {
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2024-04-13 17:39:48 +02:00
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Elevation</th>\n",
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" <th>Aspect</th>\n",
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" <th>Slope</th>\n",
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" <th>Horizontal_Distance_To_Hydrology</th>\n",
|
|
|
|
|
" <th>Vertical_Distance_To_Hydrology</th>\n",
|
|
|
|
|
" <th>Horizontal_Distance_To_Roadways</th>\n",
|
|
|
|
|
" <th>Hillshade_9am</th>\n",
|
|
|
|
|
" <th>Hillshade_Noon</th>\n",
|
|
|
|
|
" <th>Hillshade_3pm</th>\n",
|
|
|
|
|
" <th>Horizontal_Distance_To_Fire_Points</th>\n",
|
|
|
|
|
" <th>...</th>\n",
|
|
|
|
|
" <th>Soil_Type32</th>\n",
|
|
|
|
|
" <th>Soil_Type33</th>\n",
|
|
|
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|
" <th>Soil_Type34</th>\n",
|
|
|
|
|
" <th>Soil_Type35</th>\n",
|
|
|
|
|
" <th>Soil_Type36</th>\n",
|
|
|
|
|
" <th>Soil_Type37</th>\n",
|
|
|
|
|
" <th>Soil_Type38</th>\n",
|
|
|
|
|
" <th>Soil_Type39</th>\n",
|
|
|
|
|
" <th>Soil_Type40</th>\n",
|
|
|
|
|
" <th>Cover_Type</th>\n",
|
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|
|
" </tr>\n",
|
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|
" </thead>\n",
|
|
|
|
|
" <tbody>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>318054</th>\n",
|
|
|
|
|
" <td>-1.579964</td>\n",
|
|
|
|
|
" <td>1.030645</td>\n",
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|
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|
|
" <td>-0.280934</td>\n",
|
|
|
|
|
" <td>0.012100</td>\n",
|
|
|
|
|
" <td>0.644670</td>\n",
|
|
|
|
|
" <td>-1.196821</td>\n",
|
|
|
|
|
" <td>-0.864631</td>\n",
|
|
|
|
|
" <td>1.046164</td>\n",
|
|
|
|
|
" <td>1.318678</td>\n",
|
|
|
|
|
" <td>-1.373130</td>\n",
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>2</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>30504</th>\n",
|
|
|
|
|
" <td>-0.001305</td>\n",
|
|
|
|
|
" <td>-1.390866</td>\n",
|
|
|
|
|
" <td>-1.749905</td>\n",
|
|
|
|
|
" <td>-0.420741</td>\n",
|
|
|
|
|
" <td>-0.453191</td>\n",
|
|
|
|
|
" <td>2.315116</td>\n",
|
|
|
|
|
" <td>0.181321</td>\n",
|
|
|
|
|
" <td>0.641484</td>\n",
|
|
|
|
|
" <td>0.351977</td>\n",
|
|
|
|
|
" <td>1.495029</td>\n",
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>2</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>349520</th>\n",
|
|
|
|
|
" <td>0.477293</td>\n",
|
|
|
|
|
" <td>-0.908351</td>\n",
|
|
|
|
|
" <td>0.653865</td>\n",
|
|
|
|
|
" <td>-1.070003</td>\n",
|
|
|
|
|
" <td>-0.847735</td>\n",
|
|
|
|
|
" <td>-0.996083</td>\n",
|
|
|
|
|
" <td>0.554876</td>\n",
|
|
|
|
|
" <td>-1.381919</td>\n",
|
|
|
|
|
" <td>-1.267901</td>\n",
|
|
|
|
|
" <td>-0.500147</td>\n",
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>1</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>365645</th>\n",
|
|
|
|
|
" <td>-1.633538</td>\n",
|
|
|
|
|
" <td>1.557837</td>\n",
|
|
|
|
|
" <td>0.386780</td>\n",
|
|
|
|
|
" <td>-0.561885</td>\n",
|
|
|
|
|
" <td>0.095739</td>\n",
|
|
|
|
|
" <td>-1.033922</td>\n",
|
|
|
|
|
" <td>-1.312896</td>\n",
|
|
|
|
|
" <td>-0.370218</td>\n",
|
|
|
|
|
" <td>0.926772</td>\n",
|
|
|
|
|
" <td>-1.110329</td>\n",
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>6</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>131114</th>\n",
|
|
|
|
|
" <td>0.009410</td>\n",
|
|
|
|
|
" <td>-1.355124</td>\n",
|
|
|
|
|
" <td>-0.147392</td>\n",
|
|
|
|
|
" <td>-0.820649</td>\n",
|
|
|
|
|
" <td>-0.676194</td>\n",
|
|
|
|
|
" <td>1.231264</td>\n",
|
|
|
|
|
" <td>-0.379010</td>\n",
|
|
|
|
|
" <td>-0.471388</td>\n",
|
|
|
|
|
" <td>0.142960</td>\n",
|
|
|
|
|
" <td>0.014128</td>\n",
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>2</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>385769</th>\n",
|
|
|
|
|
" <td>0.791596</td>\n",
|
|
|
|
|
" <td>-0.327546</td>\n",
|
|
|
|
|
" <td>-1.215734</td>\n",
|
|
|
|
|
" <td>-0.467789</td>\n",
|
|
|
|
|
" <td>-0.813427</td>\n",
|
|
|
|
|
" <td>0.042234</td>\n",
|
|
|
|
|
" <td>0.592231</td>\n",
|
|
|
|
|
" <td>0.590899</td>\n",
|
|
|
|
|
" <td>-0.039929</td>\n",
|
|
|
|
|
" <td>-0.741048</td>\n",
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>1</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>161626</th>\n",
|
|
|
|
|
" <td>-0.033449</td>\n",
|
|
|
|
|
" <td>1.021709</td>\n",
|
|
|
|
|
" <td>-1.349277</td>\n",
|
|
|
|
|
" <td>-0.759486</td>\n",
|
|
|
|
|
" <td>-0.538961</td>\n",
|
|
|
|
|
" <td>-0.190570</td>\n",
|
|
|
|
|
" <td>-0.080167</td>\n",
|
|
|
|
|
" <td>0.894409</td>\n",
|
|
|
|
|
" <td>0.717756</td>\n",
|
|
|
|
|
" <td>0.042825</td>\n",
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>2</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>394880</th>\n",
|
|
|
|
|
" <td>0.327285</td>\n",
|
|
|
|
|
" <td>-0.005869</td>\n",
|
|
|
|
|
" <td>1.054494</td>\n",
|
|
|
|
|
" <td>0.567265</td>\n",
|
|
|
|
|
" <td>0.404513</td>\n",
|
|
|
|
|
" <td>-0.307292</td>\n",
|
|
|
|
|
" <td>1.003141</td>\n",
|
|
|
|
|
" <td>0.641484</td>\n",
|
|
|
|
|
" <td>-0.745360</td>\n",
|
|
|
|
|
" <td>-0.355153</td>\n",
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>1</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>389492</th>\n",
|
|
|
|
|
" <td>0.230851</td>\n",
|
|
|
|
|
" <td>0.315808</td>\n",
|
|
|
|
|
" <td>0.253237</td>\n",
|
|
|
|
|
" <td>2.425659</td>\n",
|
|
|
|
|
" <td>1.090676</td>\n",
|
|
|
|
|
" <td>0.416772</td>\n",
|
|
|
|
|
" <td>0.218677</td>\n",
|
|
|
|
|
" <td>1.400260</td>\n",
|
|
|
|
|
" <td>0.508739</td>\n",
|
|
|
|
|
" <td>-0.014568</td>\n",
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>1</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>2</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" <tr>\n",
|
|
|
|
|
" <th>52507</th>\n",
|
|
|
|
|
" <td>-0.876353</td>\n",
|
|
|
|
|
" <td>1.727611</td>\n",
|
|
|
|
|
" <td>0.520322</td>\n",
|
|
|
|
|
" <td>-0.952383</td>\n",
|
|
|
|
|
" <td>-0.453191</td>\n",
|
|
|
|
|
" <td>-0.481735</td>\n",
|
|
|
|
|
" <td>-1.051408</td>\n",
|
|
|
|
|
" <td>-0.825483</td>\n",
|
|
|
|
|
" <td>0.456485</td>\n",
|
|
|
|
|
" <td>0.946771</td>\n",
|
|
|
|
|
" <td>...</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>0</td>\n",
|
|
|
|
|
" <td>2</td>\n",
|
|
|
|
|
" </tr>\n",
|
|
|
|
|
" </tbody>\n",
|
|
|
|
|
"</table>\n",
|
|
|
|
|
"<p>10 rows × 55 columns</p>\n",
|
|
|
|
|
"</div>"
|
|
|
|
|
],
|
|
|
|
|
"text/plain": [
|
|
|
|
|
" Elevation Aspect Slope Horizontal_Distance_To_Hydrology \\\n",
|
|
|
|
|
"318054 -1.579964 1.030645 -0.280934 0.012100 \n",
|
|
|
|
|
"30504 -0.001305 -1.390866 -1.749905 -0.420741 \n",
|
|
|
|
|
"349520 0.477293 -0.908351 0.653865 -1.070003 \n",
|
|
|
|
|
"365645 -1.633538 1.557837 0.386780 -0.561885 \n",
|
|
|
|
|
"131114 0.009410 -1.355124 -0.147392 -0.820649 \n",
|
|
|
|
|
"385769 0.791596 -0.327546 -1.215734 -0.467789 \n",
|
|
|
|
|
"161626 -0.033449 1.021709 -1.349277 -0.759486 \n",
|
|
|
|
|
"394880 0.327285 -0.005869 1.054494 0.567265 \n",
|
|
|
|
|
"389492 0.230851 0.315808 0.253237 2.425659 \n",
|
|
|
|
|
"52507 -0.876353 1.727611 0.520322 -0.952383 \n",
|
|
|
|
|
"\n",
|
|
|
|
|
" Vertical_Distance_To_Hydrology Horizontal_Distance_To_Roadways \\\n",
|
|
|
|
|
"318054 0.644670 -1.196821 \n",
|
|
|
|
|
"30504 -0.453191 2.315116 \n",
|
|
|
|
|
"349520 -0.847735 -0.996083 \n",
|
|
|
|
|
"365645 0.095739 -1.033922 \n",
|
|
|
|
|
"131114 -0.676194 1.231264 \n",
|
|
|
|
|
"385769 -0.813427 0.042234 \n",
|
|
|
|
|
"161626 -0.538961 -0.190570 \n",
|
|
|
|
|
"394880 0.404513 -0.307292 \n",
|
|
|
|
|
"389492 1.090676 0.416772 \n",
|
|
|
|
|
"52507 -0.453191 -0.481735 \n",
|
|
|
|
|
"\n",
|
|
|
|
|
" Hillshade_9am Hillshade_Noon Hillshade_3pm \\\n",
|
|
|
|
|
"318054 -0.864631 1.046164 1.318678 \n",
|
|
|
|
|
"30504 0.181321 0.641484 0.351977 \n",
|
|
|
|
|
"349520 0.554876 -1.381919 -1.267901 \n",
|
|
|
|
|
"365645 -1.312896 -0.370218 0.926772 \n",
|
|
|
|
|
"131114 -0.379010 -0.471388 0.142960 \n",
|
|
|
|
|
"385769 0.592231 0.590899 -0.039929 \n",
|
|
|
|
|
"161626 -0.080167 0.894409 0.717756 \n",
|
|
|
|
|
"394880 1.003141 0.641484 -0.745360 \n",
|
|
|
|
|
"389492 0.218677 1.400260 0.508739 \n",
|
|
|
|
|
"52507 -1.051408 -0.825483 0.456485 \n",
|
|
|
|
|
"\n",
|
|
|
|
|
" Horizontal_Distance_To_Fire_Points ... Soil_Type32 Soil_Type33 \\\n",
|
|
|
|
|
"318054 -1.373130 ... 0 0 \n",
|
|
|
|
|
"30504 1.495029 ... 0 0 \n",
|
|
|
|
|
"349520 -0.500147 ... 0 0 \n",
|
|
|
|
|
"365645 -1.110329 ... 0 0 \n",
|
|
|
|
|
"131114 0.014128 ... 0 0 \n",
|
|
|
|
|
"385769 -0.741048 ... 0 0 \n",
|
|
|
|
|
"161626 0.042825 ... 0 0 \n",
|
|
|
|
|
"394880 -0.355153 ... 0 0 \n",
|
|
|
|
|
"389492 -0.014568 ... 0 1 \n",
|
|
|
|
|
"52507 0.946771 ... 0 0 \n",
|
|
|
|
|
"\n",
|
|
|
|
|
" Soil_Type34 Soil_Type35 Soil_Type36 Soil_Type37 Soil_Type38 \\\n",
|
|
|
|
|
"318054 0 0 0 0 0 \n",
|
|
|
|
|
"30504 0 0 0 0 0 \n",
|
|
|
|
|
"349520 0 0 0 0 0 \n",
|
|
|
|
|
"365645 0 0 0 0 0 \n",
|
|
|
|
|
"131114 0 0 0 0 0 \n",
|
|
|
|
|
"385769 0 0 0 0 0 \n",
|
|
|
|
|
"161626 0 0 0 0 0 \n",
|
|
|
|
|
"394880 0 0 0 0 0 \n",
|
|
|
|
|
"389492 0 0 0 0 0 \n",
|
|
|
|
|
"52507 0 0 0 0 0 \n",
|
|
|
|
|
"\n",
|
|
|
|
|
" Soil_Type39 Soil_Type40 Cover_Type \n",
|
|
|
|
|
"318054 0 0 2 \n",
|
|
|
|
|
"30504 0 0 2 \n",
|
|
|
|
|
"349520 0 0 1 \n",
|
|
|
|
|
"365645 0 0 6 \n",
|
|
|
|
|
"131114 0 0 2 \n",
|
|
|
|
|
"385769 0 0 1 \n",
|
|
|
|
|
"161626 0 0 2 \n",
|
|
|
|
|
"394880 0 0 1 \n",
|
|
|
|
|
"389492 0 0 2 \n",
|
|
|
|
|
"52507 0 0 2 \n",
|
|
|
|
|
"\n",
|
|
|
|
|
"[10 rows x 55 columns]"
|
|
|
|
|
]
|
2024-03-17 18:28:15 +01:00
|
|
|
|
},
|
2024-04-13 17:39:48 +02:00
|
|
|
|
"execution_count": 31,
|
2024-03-17 18:28:15 +01:00
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"from sklearn.preprocessing import StandardScaler\n",
|
|
|
|
|
"scaler = StandardScaler()\n",
|
|
|
|
|
"\n",
|
2024-04-13 17:39:48 +02:00
|
|
|
|
"columns_to_normalize = data.columns[~data.columns.str.startswith('Soil_Type')]\n",
|
|
|
|
|
"columns_to_normalize = columns_to_normalize.to_list()\n",
|
|
|
|
|
"columns_to_normalize.remove('Cover_Type')\n",
|
|
|
|
|
"data[columns_to_normalize] = scaler.fit_transform(data[columns_to_normalize])\n",
|
2024-03-17 18:28:15 +01:00
|
|
|
|
"\n",
|
2024-04-13 17:39:48 +02:00
|
|
|
|
"data.head(10)"
|
2024-03-17 18:28:15 +01:00
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"metadata": {
|
|
|
|
|
"kernelspec": {
|
|
|
|
|
"display_name": "Python 3 (ipykernel)",
|
|
|
|
|
"language": "python",
|
|
|
|
|
"name": "python3"
|
|
|
|
|
},
|
|
|
|
|
"language_info": {
|
|
|
|
|
"codemirror_mode": {
|
|
|
|
|
"name": "ipython",
|
|
|
|
|
"version": 3
|
|
|
|
|
},
|
|
|
|
|
"file_extension": ".py",
|
|
|
|
|
"mimetype": "text/x-python",
|
|
|
|
|
"name": "python",
|
|
|
|
|
"nbconvert_exporter": "python",
|
|
|
|
|
"pygments_lexer": "ipython3",
|
|
|
|
|
"version": "3.11.6"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"nbformat": 4,
|
|
|
|
|
"nbformat_minor": 4
|
|
|
|
|
}
|