{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import os" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# PATH_CSV = '/workdir/data/Louisiana-West_Test_Public/Louisiana-West_Test_Public_label_image_mapping.csv'\n", "PATH_CSV = '../../data/Louisiana-West_Test_Public/Louisiana-West_Test_Public_label_image_mapping.csv'" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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labelpre-event imagepost-event image 1post-event image 2
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40_17_17.geojson104001006504F400_0_17_17.tif10300100C4171800_0_17_17.tifNaN
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" ], "text/plain": [ " label pre-event image \\\n", "0 0_35_12.geojson 104001006504F400_0_35_12.tif \n", "1 0_20_36.geojson 104001006504F400_0_20_36.tif \n", "2 0_13_26.geojson 104001006504F400_0_13_26.tif \n", "3 0_13_22.geojson 104001006504F400_0_13_22.tif \n", "4 0_17_17.geojson 104001006504F400_0_17_17.tif \n", "\n", " post-event image 1 post-event image 2 \n", "0 10300100C5474600_0_35_12.tif NaN \n", "1 10300100C5474600_0_20_36.tif 10300100C4171800_0_20_36.tif \n", "2 10300100C4171800_0_13_26.tif NaN \n", "3 10300100C4171800_0_13_22.tif NaN \n", "4 10300100C4171800_0_17_17.tif NaN " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = pd.read_csv(PATH_CSV)\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "DIR_TEST = '../../data/Louisiana-West_Test_Public/'" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "pres = []\n", "posts = []\n", "\n", "for i, _, pre, post_1, post_2 in df.itertuples():\n", "\n", " PATH_PRE = os.path.join(DIR_TEST, 'PRE-event', pre)\n", " PATH_POST_1 = os.path.join(DIR_TEST, 'POST-event', post_1)\n", " \n", "\n", " if os.path.exists(PATH_PRE) and os.path.exists(PATH_POST_1):\n", " pres.append(PATH_PRE)\n", " posts.append(PATH_POST_1) \n", " \n", " if isinstance(post_2, str):\n", " PATH_POST_2 = os.path.join(DIR_TEST, 'POST-event', post_2)\n", " if os.path.exists(PATH_PRE) and os.path.exists(PATH_POST_2):\n", " pres.append(PATH_PRE)\n", " posts.append(PATH_POST_2)\n", " \n", " # print(post_2)\n", " # break" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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preimgpostimg
0../../data/Louisiana-West_Test_Public/PRE-even...../../data/Louisiana-West_Test_Public/POST-eve...
1../../data/Louisiana-West_Test_Public/PRE-even...../../data/Louisiana-West_Test_Public/POST-eve...
2../../data/Louisiana-West_Test_Public/PRE-even...../../data/Louisiana-West_Test_Public/POST-eve...
3../../data/Louisiana-West_Test_Public/PRE-even...../../data/Louisiana-West_Test_Public/POST-eve...
4../../data/Louisiana-West_Test_Public/PRE-even...../../data/Louisiana-West_Test_Public/POST-eve...
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" ], "text/plain": [ " preimg \\\n", "0 ../../data/Louisiana-West_Test_Public/PRE-even... \n", "1 ../../data/Louisiana-West_Test_Public/PRE-even... \n", "2 ../../data/Louisiana-West_Test_Public/PRE-even... \n", "3 ../../data/Louisiana-West_Test_Public/PRE-even... \n", "4 ../../data/Louisiana-West_Test_Public/PRE-even... \n", "\n", " postimg \n", "0 ../../data/Louisiana-West_Test_Public/POST-eve... \n", "1 ../../data/Louisiana-West_Test_Public/POST-eve... \n", "2 ../../data/Louisiana-West_Test_Public/POST-eve... \n", "3 ../../data/Louisiana-West_Test_Public/POST-eve... \n", "4 ../../data/Louisiana-West_Test_Public/POST-eve... " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "test_df = pd.DataFrame()\n", "test_df['preimg'] = pres\n", "test_df['postimg'] = posts\n", "test_df.head()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "PATH_TEST_SAVE_CSV = '../../data/Louisiana-West_Test_Public/test_preimg-postimg.csv'\n", "test_df.to_csv(PATH_TEST_SAVE_CSV, index=False, header=True)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3.8.13 ('sn8')", "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": "3.8.13" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "5035d61452180bc2f6c97d30efe0351efc32bce343eab0f718e68b06cec485d6" } } }, "nbformat": 4, "nbformat_minor": 2 }