Correciones para reentrenamiento
This commit is contained in:
117815
csv/NONE-Data-Profiling-Report.html
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117815
csv/NONE-Data-Profiling-Report.html
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115000
csv/derecha-profiling-report.html
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115000
csv/derecha-profiling-report.html
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241
csv/i.ipynb
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241
csv/i.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": "2025-04-24T11:03:49.387618Z",
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"start_time": "2025-04-24T11:03:48.712716Z"
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}
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},
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"source": [
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"import pandas as pd\n",
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"import os\n",
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"from ydata_profiling import ProfileReport\n",
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"\n",
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"# Cargar el archivo CSV\n",
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"file_path = 'openbci.csv'\n",
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"df = pd.read_csv(file_path)\n"
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],
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"outputs": [],
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"execution_count": 9
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "# TENDENCIA IZQUIERDA\n",
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"id": "c7a90478e0fb8b0c"
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-04-24T11:04:10.812537Z",
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"start_time": "2025-04-24T11:03:49.395196Z"
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}
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},
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"cell_type": "code",
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"source": [
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"# Filtrar filas donde la columna 'i' sea igual a 'i'\n",
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"filtrado = df[df['Movement'] == 'i']\n",
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"\n",
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"\n",
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"columnas_utiles = [f\"EXG Channel {i}\" for i in range(16)]\n",
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"datos = filtrado[columnas_utiles]\n",
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"\n",
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"# Generate analysis info into html folder\n",
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"profile = ProfileReport(datos, title=\"IZQUIERDA Data Profiling Report\", explorative=True)\n",
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"report = ProfileReport(\n",
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" datos,\n",
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" title=\"IZQUIERDA\",\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(\"iZQUIERDA-Data-Profiling-Report.html\")\n",
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"\n"
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],
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"id": "bf22f3b6e5787d17",
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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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"C:\\Users\\lumon\\miniconda3\\Lib\\site-packages\\ydata_profiling\\utils\\dataframe.py:137: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame\n",
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"\n",
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"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
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" df.rename(columns={\"index\": \"df_index\"}, inplace=True)\n",
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"Summarize dataset: 0%| | 0/21 [00:00<?, ?it/s, Describe variable: EXG Channel 15]\n",
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"Summarize dataset: 10%|▉ | 2/21 [00:00<00:06, 3.05it/s, Describe variable: EXG Channel 15]\n",
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"100%|██████████| 16/16 [00:00<00:00, 80.77it/s][A\n",
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"Summarize dataset: 100%|██████████| 279/279 [00:15<00:00, 17.66it/s, Completed] \n",
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"Generate report structure: 100%|██████████| 1/1 [00:02<00:00, 2.37s/it]\n",
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"Render HTML: 100%|██████████| 1/1 [00:02<00:00, 2.90s/it]\n",
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"Export report to file: 100%|██████████| 1/1 [00:00<00:00, 33.85it/s]\n"
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]
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}
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],
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"execution_count": 10
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "# TENDENCIA DERECHA\n",
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"id": "53c599ddbab9f177"
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-04-24T11:04:31.274873Z",
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"start_time": "2025-04-24T11:04:10.826723Z"
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}
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},
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"cell_type": "code",
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"source": [
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"# Filtrar filas donde la columna 'i' sea igual a 'i'\n",
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"filtrado = df[df['Movement'] == 'd']\n",
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"\n",
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"\n",
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"columnas_utiles = [f\"EXG Channel {i}\" for i in range(16)]\n",
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"datos = filtrado[columnas_utiles]\n",
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"\n",
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"\n",
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"# Generate analysis info into html folder\n",
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"profile = ProfileReport(datos, title=\"DERECHA Data Profiling Report\", explorative=True)\n",
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"report = ProfileReport(\n",
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" datos,\n",
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" title=\"DERECHA 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(\"derecha-profiling-report.html\")\n",
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"\n",
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"\n"
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],
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"id": "f2cc2b8e7b3d4c8",
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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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"C:\\Users\\lumon\\miniconda3\\Lib\\site-packages\\ydata_profiling\\utils\\dataframe.py:137: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame\n",
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"\n",
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"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
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" df.rename(columns={\"index\": \"df_index\"}, inplace=True)\n",
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"Summarize dataset: 0%| | 0/21 [00:00<?, ?it/s, Describe variable: EXG Channel 15]\n",
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"Summarize dataset: 5%|▍ | 1/21 [00:00<00:06, 3.14it/s, Describe variable: EXG Channel 15]\n",
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"100%|██████████| 16/16 [00:00<00:00, 155.26it/s]\u001B[A\n",
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"Summarize dataset: 100%|██████████| 279/279 [00:14<00:00, 18.78it/s, Completed] \n",
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"Generate report structure: 100%|██████████| 1/1 [00:02<00:00, 2.35s/it]\n",
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"Render HTML: 100%|██████████| 1/1 [00:02<00:00, 2.90s/it]\n",
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"Export report to file: 100%|██████████| 1/1 [00:00<00:00, 35.91it/s]\n"
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]
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}
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],
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"execution_count": 11
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "# TENDENCIA NONE",
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"id": "428b081cbbd88680"
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-04-24T11:04:56.000186Z",
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"start_time": "2025-04-24T11:04:31.289328Z"
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}
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},
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"cell_type": "code",
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"source": [
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"# Filtrar filas donde la columna 'i' sea igual a 'i'\n",
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"filtrado = df[df['Movement'] == 'none']\n",
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"\n",
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"\n",
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"columnas_utiles = [f\"EXG Channel {i}\" for i in range(16)]\n",
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"datos = filtrado[columnas_utiles]\n",
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"\n",
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"# Generate analysis info into html folder\n",
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"profile = ProfileReport(datos, title=\"NONE Data Profiling Report\", explorative=True)\n",
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"report = ProfileReport(\n",
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" datos,\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(\"NONE-Data-Profiling-Report.html\")\n",
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"\n"
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],
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"id": "9b21a5cdae4a8d89",
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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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"C:\\Users\\lumon\\miniconda3\\Lib\\site-packages\\ydata_profiling\\utils\\dataframe.py:137: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame\n",
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"\n",
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"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
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" df.rename(columns={\"index\": \"df_index\"}, inplace=True)\n",
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"Summarize dataset: 0%| | 0/21 [00:00<?, ?it/s, Describe variable: EXG Channel 15]\n",
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"Summarize dataset: 5%|▍ | 1/21 [00:00<00:09, 2.15it/s, Describe variable: EXG Channel 15]\n",
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"100%|██████████| 16/16 [00:00<00:00, 66.99it/s][A\n",
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"Summarize dataset: 100%|██████████| 279/279 [00:18<00:00, 14.85it/s, Completed] \n",
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"Generate report structure: 100%|██████████| 1/1 [00:02<00:00, 2.50s/it]\n",
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"Render HTML: 100%|██████████| 1/1 [00:03<00:00, 3.04s/it]\n",
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"Export report to file: 100%|██████████| 1/1 [00:00<00:00, 25.38it/s]\n"
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]
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}
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],
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"execution_count": 12
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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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118638
csv/iZQUIERDA-Data-Profiling-Report.html
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118638
csv/iZQUIERDA-Data-Profiling-Report.html
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File diff suppressed because one or more lines are too long
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