Correciones para reentrenamiento
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corrector/none/NONE-Data-Profiling-Report.html
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corrector/none/NONE-Data-Profiling-Report.html
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corrector/none/correcciones.ipynb
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corrector/none/correcciones.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"id": "initial_id",
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"metadata": {
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"collapsed": true,
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"ExecuteTime": {
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"end_time": "2025-04-24T11:03:02.472175Z",
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"start_time": "2025-04-24T11:02:41.583940Z"
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}
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},
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"source": [
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"import os\n",
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"from ydata_profiling import ProfileReport\n",
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"import pandas as pd\n",
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"\n",
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"# Cargar el archivo CSV\n",
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"file_path = 'samples_con_predicciones_20250421_183556.csv'\n",
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"df = pd.read_csv(file_path)\n",
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"\n",
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"# Mostrar las primeras filas para entender la estructura\n",
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"df.head()\n",
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"# Excluir la columna 'i' si no es numérica\n",
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"df_numeric = df.drop(columns=['i'], errors='ignore')\n",
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"\n",
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"# Generate analysis info into html folder\n",
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"profile = ProfileReport(df_numeric, title=\"NONE Data Profiling Report\", explorative=True)\n",
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"report = ProfileReport(\n",
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" df_numeric,\n",
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" title=\"NONE Data Profiling Report\",\n",
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" html={\"style\": {\"full_width\": True}},\n",
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" missing_diagrams={\n",
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" \"heatmap\": False,\n",
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" \"dendrogram\": False,\n",
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" \"Count\": False,\n",
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" \"bar\": False,\n",
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" \"matrix\": False,\n",
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" \"sparkline\": False,\n",
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" \"table\": False,\n",
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" },\n",
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" )\n",
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"report.to_file(os.path.join(\"html\", \"NONE-Data-Profiling-Report.html\"))\n",
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"\n"
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],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Summarize dataset: 33%|███▎ | 7/21 [00:00<00:00, 63.80it/s, Describe variable: -43919.77]\n",
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"100%|██████████| 16/16 [00:00<00:00, 1018.14it/s]\n",
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"Summarize dataset: 100%|██████████| 279/279 [00:14<00:00, 19.02it/s, Completed] \n",
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"Generate report structure: 100%|██████████| 1/1 [00:02<00:00, 2.39s/it]\n",
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"Render HTML: 100%|██████████| 1/1 [00:03<00:00, 3.09s/it]\n",
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"Export report to file: 100%|██████████| 1/1 [00:00<00:00, 21.17it/s]\n"
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]
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}
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],
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"execution_count": 2
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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corrector/none/samples_con_predicciones_20250421_183054.csv
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corrector/none/samples_con_predicciones_20250421_183054.csv
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corrector/none/samples_con_predicciones_20250421_183155.csv
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corrector/none/samples_con_predicciones_20250421_183432.csv
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corrector/none/samples_con_predicciones_20250421_183432.csv
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