docs(SRC): :rocket: First version of create all options notebook

create_all_options_table.ipynb

@@ -0,0 +1,707 @@
+{
+ "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",
+       "    .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>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",
+       "    .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>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",
+       "    .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>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",
+       "    .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>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": {
+  "kernelspec": {
+   "display_name": "macros_evolution_space",
+   "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": "3.12.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}