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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from input_options import (opciones_esfuerzo, opciones_objetivo, opciones_cumplimiento_entrenamiento,\n",
" opciones_cumplimiento_dieta, opciones_compromiso, diferencia_peso_options)\n",
"import pandas as pd\n",
"from tqdm import tqdm"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"anterior_peso_list = list(range(50, 150, 2))\n",
"peso_actual_list = list(range(50, 150, 2))"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"dataframe = pd.DataFrame()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Creating dataframe: 99%|█████████▉| 6279720/6350400 [00:07<00:00, 823917.54it/s]"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"6350400\n"
]
},
{
"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>anterior_peso</th>\n",
" <th>peso_actual</th>\n",
" <th>diferencia_peso</th>\n",
" <th>objetivo</th>\n",
" <th>esfuerzo</th>\n",
" <th>cumplimiento_entrenamiento</th>\n",
" <th>cumplimiento_dieta</th>\n",
" <th>compromiso</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>60</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>definición (nada cambia)</td>\n",
" <td>No entiendo la calculadora, quiero menús tipo</td>\n",
" <td>Lo hice perfecto</td>\n",
" <td>al 70%</td>\n",
" <td>Bueno, pero mejorable</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>60</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>definición (nada cambia)</td>\n",
" <td>No entiendo la calculadora, quiero menús tipo</td>\n",
" <td>Lo hice perfecto</td>\n",
" <td>al 70%</td>\n",
" <td>Mal, pero a partir de ahora voy a por todas</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>60</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>definición (nada cambia)</td>\n",
" <td>No entiendo la calculadora, quiero menús tipo</td>\n",
" <td>Lo hice perfecto</td>\n",
" <td>al 70%</td>\n",
" <td>Mal, demasiado exigente</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>60</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>definición (nada cambia)</td>\n",
" <td>No entiendo la calculadora, quiero menús tipo</td>\n",
" <td>Lo hice perfecto</td>\n",
" <td>al 70%</td>\n",
" <td>Máximo</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>60</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>definición (nada cambia)</td>\n",
" <td>No entiendo la calculadora, quiero menús tipo</td>\n",
" <td>Lo hice perfecto</td>\n",
" <td>regular, me cuesta llegar</td>\n",
" <td>Bueno, pero mejorable</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" anterior_peso peso_actual diferencia_peso objetivo \\\n",
"0 60 60 0 definición (nada cambia) \n",
"1 60 60 0 definición (nada cambia) \n",
"2 60 60 0 definición (nada cambia) \n",
"3 60 60 0 definición (nada cambia) \n",
"4 60 60 0 definición (nada cambia) \n",
"\n",
" esfuerzo cumplimiento_entrenamiento \\\n",
"0 No entiendo la calculadora, quiero menús tipo Lo hice perfecto \n",
"1 No entiendo la calculadora, quiero menús tipo Lo hice perfecto \n",
"2 No entiendo la calculadora, quiero menús tipo Lo hice perfecto \n",
"3 No entiendo la calculadora, quiero menús tipo Lo hice perfecto \n",
"4 No entiendo la calculadora, quiero menús tipo Lo hice perfecto \n",
"\n",
" cumplimiento_dieta compromiso \n",
"0 al 70% Bueno, pero mejorable \n",
"1 al 70% Mal, pero a partir de ahora voy a por todas \n",
"2 al 70% Mal, demasiado exigente \n",
"3 al 70% Máximo \n",
"4 regular, me cuesta llegar Bueno, pero mejorable "
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rows_list = []\n",
"\n",
"num_combinations = len(anterior_peso_list) * len(peso_actual_list) * len(opciones_objetivo) * len(opciones_esfuerzo) * len(opciones_cumplimiento_entrenamiento) * len(opciones_cumplimiento_dieta) * len(opciones_compromiso)\n",
"progress_bar = tqdm(total=num_combinations, desc=\"Creating dataframe\")\n",
"\n",
"for anterior_peso in anterior_peso_list:\n",
" for peso_actual in peso_actual_list:\n",
" for objetivo in opciones_objetivo:\n",
" for esfuerzo in opciones_esfuerzo:\n",
" for cumplimiento_entrenamiento in opciones_cumplimiento_entrenamiento:\n",
" for cumplimiento_dieta in opciones_cumplimiento_dieta:\n",
" for compromiso in opciones_compromiso:\n",
" row = {\n",
" 'anterior_peso': anterior_peso,\n",
" 'peso_actual': peso_actual,\n",
" 'diferencia_peso': peso_actual - anterior_peso,\n",
" 'objetivo': objetivo[list(objetivo.keys())[0]]['text'],\n",
" 'esfuerzo': esfuerzo[list(esfuerzo.keys())[0]]['text'],\n",
" 'cumplimiento_entrenamiento': cumplimiento_entrenamiento[list(cumplimiento_entrenamiento.keys())[0]]['text'],\n",
" 'cumplimiento_dieta': cumplimiento_dieta[list(cumplimiento_dieta.keys())[0]]['text'],\n",
" 'compromiso': compromiso[list(compromiso.keys())[0]]['text']\n",
" }\n",
" rows_list.append(row)\n",
" progress_bar.update(1)\n",
"dataframe = pd.DataFrame(rows_list)\n",
"del rows_list\n",
"print(num_combinations)\n",
"dataframe.head()\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"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>diferencia_peso</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>-58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>-56</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>-54</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>-52</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>-50</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" diferencia_peso\n",
"0 -58\n",
"1 -56\n",
"2 -54\n",
"3 -52\n",
"4 -50"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"diferencias_peso_list = dataframe['diferencia_peso'].unique()\n",
"diferencias_peso_list.sort()\n",
"diferencias_peso_dataframe = pd.DataFrame(diferencias_peso_list, columns=['diferencia_peso'])\n",
"diferencias_peso_dataframe.head()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" vertical-align: top;\n",
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"\n",
" .dataframe thead th {\n",
" 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>objetivo</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>definición (nada cambia)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>empezamos a coger volumen (cambia)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>empezamos a coger volumen, en todo el cuerpo (...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>empezamos a coger volumen, sobre todo tren inf...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>empezamos a definir (cambia)</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" objetivo\n",
"0 definición (nada cambia)\n",
"1 empezamos a coger volumen (cambia)\n",
"2 empezamos a coger volumen, en todo el cuerpo (...\n",
"3 empezamos a coger volumen, sobre todo tren inf...\n",
"4 empezamos a definir (cambia)"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"objetivos_list = dataframe['objetivo'].unique()\n",
"objetivos_list.sort()\n",
"objetivos_dataframe = pd.DataFrame(objetivos_list, columns=['objetivo'])\n",
"objetivos_dataframe.head()\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"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>esfuerzo</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Costó demasiado, bájame macros</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Costó demasiado, súbeme macros</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Costó, pero me adapto a nuevos ajustes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Iba a coger menús tipo, pero al final por prec...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>No costó nada</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" esfuerzo\n",
"0 Costó demasiado, bájame macros\n",
"1 Costó demasiado, súbeme macros\n",
"2 Costó, pero me adapto a nuevos ajustes\n",
"3 Iba a coger menús tipo, pero al final por prec...\n",
"4 No costó nada"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"esfuerzos_list = dataframe['esfuerzo'].unique()\n",
"esfuerzos_list.sort()\n",
"esfuerzos_dataframe = pd.DataFrame(esfuerzos_list, columns=['esfuerzo'])\n",
"esfuerzos_dataframe.head()\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" 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>cumplimiento_entrenamiento</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Alárgame la rutina una semana más</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>He fallado algunos días, pero sí</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Lesión importante</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Lo hice perfecto</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Lo hice prácticamente perfecto</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" cumplimiento_entrenamiento\n",
"0 Alárgame la rutina una semana más\n",
"1 He fallado algunos días, pero sí\n",
"2 Lesión importante\n",
"3 Lo hice perfecto\n",
"4 Lo hice prácticamente perfecto"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cumplimiento_entrenamiento_list = dataframe['cumplimiento_entrenamiento'].unique()\n",
"cumplimiento_entrenamiento_list.sort()\n",
"cumplimiento_entrenamiento_dataframe = pd.DataFrame(cumplimiento_entrenamiento_list, columns=['cumplimiento_entrenamiento'])\n",
"cumplimiento_entrenamiento_dataframe.head()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" 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>cumplimiento_dieta</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Nada, mantén mis macros</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Perfecta</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>al 70%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>casi perfecta</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>regular, me cuesta llegar</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" cumplimiento_dieta\n",
"0 Nada, mantén mis macros\n",
"1 Perfecta\n",
"2 al 70%\n",
"3 casi perfecta\n",
"4 regular, me cuesta llegar"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cumplimiento_dieta_list = dataframe['cumplimiento_dieta'].unique()\n",
"cumplimiento_dieta_list.sort()\n",
"cumplimiento_dieta_dataframe = pd.DataFrame(cumplimiento_dieta_list, columns=['cumplimiento_dieta'])\n",
"cumplimiento_dieta_dataframe.head()\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" 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>compromiso</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Bueno, pero mejorable</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Mal, demasiado exigente</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Mal, pero a partir de ahora voy a por todas</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Máximo</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" compromiso\n",
"0 Bueno, pero mejorable\n",
"1 Mal, demasiado exigente\n",
"2 Mal, pero a partir de ahora voy a por todas\n",
"3 Máximo"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"compromiso_list = dataframe['compromiso'].unique()\n",
"compromiso_list.sort()\n",
"compromiso_dataframe = pd.DataFrame(compromiso_list, columns=['compromiso'])\n",
"compromiso_dataframe.head()\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"ename": "ValueError",
"evalue": "This sheet is too large! Your sheet size is: 6350400, 8 Max sheet size is: 1048576, 16384",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[11], line 5\u001b[0m\n\u001b[1;32m 2\u001b[0m writer \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mExcelWriter(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mopciones_macros.xlsx\u001b[39m\u001b[38;5;124m'\u001b[39m, engine\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mopenpyxl\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 4\u001b[0m \u001b[38;5;66;03m# Exportamos cada DataFrame a una hoja diferente\u001b[39;00m\n\u001b[0;32m----> 5\u001b[0m \u001b[43mdataframe\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_excel\u001b[49m\u001b[43m(\u001b[49m\u001b[43mwriter\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msheet_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mTodas las combinaciones\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m 6\u001b[0m diferencias_peso_dataframe\u001b[38;5;241m.\u001b[39mto_excel(writer, sheet_name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mDiferencias de peso\u001b[39m\u001b[38;5;124m'\u001b[39m, index\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m 7\u001b[0m objetivos_dataframe\u001b[38;5;241m.\u001b[39mto_excel(writer, sheet_name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mObjetivos\u001b[39m\u001b[38;5;124m'\u001b[39m, index\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n",
"File \u001b[0;32m~/miniforge3/envs/macros_evolution_space/lib/python3.12/site-packages/pandas/util/_decorators.py:333\u001b[0m, in \u001b[0;36mdeprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 327\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m>\u001b[39m num_allow_args:\n\u001b[1;32m 328\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[1;32m 329\u001b[0m msg\u001b[38;5;241m.\u001b[39mformat(arguments\u001b[38;5;241m=\u001b[39m_format_argument_list(allow_args)),\n\u001b[1;32m 330\u001b[0m \u001b[38;5;167;01mFutureWarning\u001b[39;00m,\n\u001b[1;32m 331\u001b[0m stacklevel\u001b[38;5;241m=\u001b[39mfind_stack_level(),\n\u001b[1;32m 332\u001b[0m )\n\u001b[0;32m--> 333\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m~/miniforge3/envs/macros_evolution_space/lib/python3.12/site-packages/pandas/core/generic.py:2417\u001b[0m, in \u001b[0;36mNDFrame.to_excel\u001b[0;34m(self, excel_writer, sheet_name, na_rep, float_format, columns, header, index, index_label, startrow, startcol, engine, merge_cells, inf_rep, freeze_panes, storage_options, engine_kwargs)\u001b[0m\n\u001b[1;32m 2404\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mpandas\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mio\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mformats\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mexcel\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m ExcelFormatter\n\u001b[1;32m 2406\u001b[0m formatter \u001b[38;5;241m=\u001b[39m ExcelFormatter(\n\u001b[1;32m 2407\u001b[0m df,\n\u001b[1;32m 2408\u001b[0m na_rep\u001b[38;5;241m=\u001b[39mna_rep,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 2415\u001b[0m inf_rep\u001b[38;5;241m=\u001b[39minf_rep,\n\u001b[1;32m 2416\u001b[0m )\n\u001b[0;32m-> 2417\u001b[0m \u001b[43mformatter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwrite\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2418\u001b[0m \u001b[43m \u001b[49m\u001b[43mexcel_writer\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2419\u001b[0m \u001b[43m \u001b[49m\u001b[43msheet_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msheet_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2420\u001b[0m \u001b[43m \u001b[49m\u001b[43mstartrow\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstartrow\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2421\u001b[0m \u001b[43m \u001b[49m\u001b[43mstartcol\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstartcol\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2422\u001b[0m \u001b[43m \u001b[49m\u001b[43mfreeze_panes\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfreeze_panes\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2423\u001b[0m \u001b[43m \u001b[49m\u001b[43mengine\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2424\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstorage_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2425\u001b[0m \u001b[43m \u001b[49m\u001b[43mengine_kwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mengine_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2426\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m~/miniforge3/envs/macros_evolution_space/lib/python3.12/site-packages/pandas/io/formats/excel.py:931\u001b[0m, in \u001b[0;36mExcelFormatter.write\u001b[0;34m(self, writer, sheet_name, startrow, startcol, freeze_panes, engine, storage_options, engine_kwargs)\u001b[0m\n\u001b[1;32m 929\u001b[0m num_rows, num_cols \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdf\u001b[38;5;241m.\u001b[39mshape\n\u001b[1;32m 930\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m num_rows \u001b[38;5;241m>\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_rows \u001b[38;5;129;01mor\u001b[39;00m num_cols \u001b[38;5;241m>\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_cols:\n\u001b[0;32m--> 931\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 932\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThis sheet is too large! Your sheet size is: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnum_rows\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnum_cols\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 933\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMax sheet size is: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_rows\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_cols\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 934\u001b[0m )\n\u001b[1;32m 936\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m engine_kwargs \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 937\u001b[0m engine_kwargs \u001b[38;5;241m=\u001b[39m {}\n",
"\u001b[0;31mValueError\u001b[0m: This sheet is too large! Your sheet size is: 6350400, 8 Max sheet size is: 1048576, 16384"
]
}
],
"source": [
"# Creamos el ExcelWriter\n",
"writer = pd.ExcelWriter('opciones_macros.xlsx', engine='openpyxl')\n",
"\n",
"# Exportamos cada DataFrame a una hoja diferente\n",
"dataframe.to_excel(writer, sheet_name='Todas las combinaciones', index=False)\n",
"diferencias_peso_dataframe.to_excel(writer, sheet_name='Diferencias de peso', index=False)\n",
"objetivos_dataframe.to_excel(writer, sheet_name='Objetivos', index=False)\n",
"esfuerzos_dataframe.to_excel(writer, sheet_name='Esfuerzos', index=False)\n",
"cumplimiento_entrenamiento_dataframe.to_excel(writer, sheet_name='Cumplimiento entrenamiento', index=False)\n",
"cumplimiento_dieta_dataframe.to_excel(writer, sheet_name='Cumplimiento dieta', index=False)\n",
"compromiso_dataframe.to_excel(writer, sheet_name='Compromiso', index=False)\n",
"\n",
"# Guardamos y cerramos el archivo\n",
"writer.close()"
]
}
],
"metadata": {
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"language": "python",
"name": "python3"
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"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.8"
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"nbformat": 4,
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|