diff --git a/tarealab.ipynb b/tarealab.ipynb
new file mode 100644
index 0000000..486a2ed
--- /dev/null
+++ b/tarealab.ipynb
@@ -0,0 +1,1128 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "c8b965a8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: mysql in c:\\users\\tachi\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (0.0.3)\n",
+      "Requirement already satisfied: mysqlclient in c:\\users\\tachi\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from mysql) (2.2.7)\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "[notice] A new release of pip is available: 24.3.1 -> 25.3\n",
+      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
+     ]
+    }
+   ],
+   "source": [
+    "pip install mysql"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "74729439",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import mysql.connector\n",
+    "from sqlalchemy import create_engine\n",
+    "\n",
+    "import getpass  # To get the password without showing the input\n",
+    "password = getpass.getpass()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "80e39be6",
+   "metadata": {},
+   "source": [
+    "para las claves foraneas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "04553015",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: cryptography in c:\\users\\tachi\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (46.0.4)\n",
+      "Requirement already satisfied: cffi>=2.0.0 in c:\\users\\tachi\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from cryptography) (2.0.0)\n",
+      "Requirement already satisfied: pycparser in c:\\users\\tachi\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from cffi>=2.0.0->cryptography) (2.23)\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "[notice] A new release of pip is available: 24.3.1 -> 25.3\n",
+      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
+     ]
+    }
+   ],
+   "source": [
+    "%pip install cryptography\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "38aa4028",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sqlalchemy import create_engine\n",
+    "\n",
+    "\n",
+    "str_conn = \"mysql+pymysql://root:\"+password+\"@localhost:3306/sakila\"\n",
+    "engine = create_engine(str_conn)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "14aa045f",
+   "metadata": {},
+   "source": [
+    "## ejercicio 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "91e87de7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "def rental_month(engine,month,year):\n",
+    "\n",
+    "    query=\"SELECT * FROM rental WHERE MONTH(rental_date) = %s AND YEAR(rental_date) = %s\"\n",
+    "    df=pd.read_sql(query, engine, params=(month, year))\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "d0911b7d",
+   "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>rental_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "      <th>inventory_id</th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>return_date</th>\n",
+       "      <th>staff_id</th>\n",
+       "      <th>last_update</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1158</td>\n",
+       "      <td>2005-06-14 22:53:33</td>\n",
+       "      <td>1632</td>\n",
+       "      <td>416</td>\n",
+       "      <td>2005-06-18 21:37:33</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1159</td>\n",
+       "      <td>2005-06-14 22:55:13</td>\n",
+       "      <td>4395</td>\n",
+       "      <td>516</td>\n",
+       "      <td>2005-06-17 02:11:13</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1160</td>\n",
+       "      <td>2005-06-14 23:00:34</td>\n",
+       "      <td>2795</td>\n",
+       "      <td>239</td>\n",
+       "      <td>2005-06-18 01:58:34</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1161</td>\n",
+       "      <td>2005-06-14 23:07:08</td>\n",
+       "      <td>1690</td>\n",
+       "      <td>285</td>\n",
+       "      <td>2005-06-21 17:12:08</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1162</td>\n",
+       "      <td>2005-06-14 23:09:38</td>\n",
+       "      <td>987</td>\n",
+       "      <td>310</td>\n",
+       "      <td>2005-06-23 22:00:38</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   rental_id         rental_date  inventory_id  customer_id  \\\n",
+       "0       1158 2005-06-14 22:53:33          1632          416   \n",
+       "1       1159 2005-06-14 22:55:13          4395          516   \n",
+       "2       1160 2005-06-14 23:00:34          2795          239   \n",
+       "3       1161 2005-06-14 23:07:08          1690          285   \n",
+       "4       1162 2005-06-14 23:09:38           987          310   \n",
+       "\n",
+       "          return_date  staff_id         last_update  \n",
+       "0 2005-06-18 21:37:33         2 2006-02-15 21:30:53  \n",
+       "1 2005-06-17 02:11:13         1 2006-02-15 21:30:53  \n",
+       "2 2005-06-18 01:58:34         2 2006-02-15 21:30:53  \n",
+       "3 2005-06-21 17:12:08         1 2006-02-15 21:30:53  \n",
+       "4 2005-06-23 22:00:38         1 2006-02-15 21:30:53  "
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dfrental=rental_month(engine,6,2005)\n",
+    "dfrental.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b5879c23",
+   "metadata": {},
+   "source": [
+    "## ejercicio 3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "7042469a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "def rental_count_month(df, month, year):\n",
+    "    df_counts = df.groupby('customer_id')[['rental_id']].count().reset_index()\n",
+    "    new_col_name = f\"alquileres_{month:02d}_{year}\"\n",
+    "    df_counts.columns = ['customer_id', new_col_name]\n",
+    "    \n",
+    "    return df_counts\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "c73a6a01",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_rental_count_month=rental_count_month(dfrental,5,2005)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "02a3cc87",
+   "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>customer_id</th>\n",
+       "      <th>alquileres_05_2005</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   customer_id  alquileres_05_2005\n",
+       "0            1                   2\n",
+       "1            2                   1\n",
+       "2            3                   2\n",
+       "3            5                   3\n",
+       "4            6                   3"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_rental_count_month.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5223470b",
+   "metadata": {},
+   "source": [
+    "## ejercicio 4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "22d5bc10",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def compare_rentals(df1,df2):\n",
+    "    df_merge=pd.merge(df1,df2,on='customer_id',how='inner')\n",
+    "    \n",
+    "    return df_merge\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "3bc96ad8",
+   "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>customer_id</th>\n",
+       "      <th>alquileres_05_2005</th>\n",
+       "      <th>rental_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "      <th>inventory_id</th>\n",
+       "      <th>return_date</th>\n",
+       "      <th>staff_id</th>\n",
+       "      <th>last_update</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1185</td>\n",
+       "      <td>2005-06-15 00:54:12</td>\n",
+       "      <td>2785</td>\n",
+       "      <td>2005-06-23 02:42:12</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1422</td>\n",
+       "      <td>2005-06-15 18:02:53</td>\n",
+       "      <td>1021</td>\n",
+       "      <td>2005-06-19 15:54:53</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1476</td>\n",
+       "      <td>2005-06-15 21:08:46</td>\n",
+       "      <td>1407</td>\n",
+       "      <td>2005-06-25 02:26:46</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1725</td>\n",
+       "      <td>2005-06-16 15:18:57</td>\n",
+       "      <td>726</td>\n",
+       "      <td>2005-06-17 21:05:57</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2308</td>\n",
+       "      <td>2005-06-18 08:41:48</td>\n",
+       "      <td>197</td>\n",
+       "      <td>2005-06-22 03:36:48</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   customer_id  alquileres_05_2005  rental_id         rental_date  \\\n",
+       "0            1                   2       1185 2005-06-15 00:54:12   \n",
+       "1            1                   2       1422 2005-06-15 18:02:53   \n",
+       "2            1                   2       1476 2005-06-15 21:08:46   \n",
+       "3            1                   2       1725 2005-06-16 15:18:57   \n",
+       "4            1                   2       2308 2005-06-18 08:41:48   \n",
+       "\n",
+       "   inventory_id         return_date  staff_id         last_update  \n",
+       "0          2785 2005-06-23 02:42:12         2 2006-02-15 21:30:53  \n",
+       "1          1021 2005-06-19 15:54:53         2 2006-02-15 21:30:53  \n",
+       "2          1407 2005-06-25 02:26:46         1 2006-02-15 21:30:53  \n",
+       "3           726 2005-06-17 21:05:57         1 2006-02-15 21:30:53  \n",
+       "4           197 2005-06-22 03:36:48         2 2006-02-15 21:30:53  "
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_final=compare_rentals(df_rental_count_month,dfrental)\n",
+    "df_final.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "0b508da8",
+   "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>rental_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "      <th>inventory_id</th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>return_date</th>\n",
+       "      <th>staff_id</th>\n",
+       "      <th>last_update</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1158</td>\n",
+       "      <td>2005-06-14 22:53:33</td>\n",
+       "      <td>1632</td>\n",
+       "      <td>416</td>\n",
+       "      <td>2005-06-18 21:37:33</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1159</td>\n",
+       "      <td>2005-06-14 22:55:13</td>\n",
+       "      <td>4395</td>\n",
+       "      <td>516</td>\n",
+       "      <td>2005-06-17 02:11:13</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1160</td>\n",
+       "      <td>2005-06-14 23:00:34</td>\n",
+       "      <td>2795</td>\n",
+       "      <td>239</td>\n",
+       "      <td>2005-06-18 01:58:34</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1161</td>\n",
+       "      <td>2005-06-14 23:07:08</td>\n",
+       "      <td>1690</td>\n",
+       "      <td>285</td>\n",
+       "      <td>2005-06-21 17:12:08</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1162</td>\n",
+       "      <td>2005-06-14 23:09:38</td>\n",
+       "      <td>987</td>\n",
+       "      <td>310</td>\n",
+       "      <td>2005-06-23 22:00:38</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   rental_id         rental_date  inventory_id  customer_id  \\\n",
+       "0       1158 2005-06-14 22:53:33          1632          416   \n",
+       "1       1159 2005-06-14 22:55:13          4395          516   \n",
+       "2       1160 2005-06-14 23:00:34          2795          239   \n",
+       "3       1161 2005-06-14 23:07:08          1690          285   \n",
+       "4       1162 2005-06-14 23:09:38           987          310   \n",
+       "\n",
+       "          return_date  staff_id         last_update  \n",
+       "0 2005-06-18 21:37:33         2 2006-02-15 21:30:53  \n",
+       "1 2005-06-17 02:11:13         1 2006-02-15 21:30:53  \n",
+       "2 2005-06-18 01:58:34         2 2006-02-15 21:30:53  \n",
+       "3 2005-06-21 17:12:08         1 2006-02-15 21:30:53  \n",
+       "4 2005-06-23 22:00:38         1 2006-02-15 21:30:53  "
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_junio=rental_month(engine,6,2005)\n",
+    "df_junio.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "82f14fe4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
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+       "        vertical-align: top;\n",
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+       "\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>customer_id</th>\n",
+       "      <th>alquileres_06_2005</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   customer_id  alquileres_06_2005\n",
+       "0            1                   7\n",
+       "1            2                   1\n",
+       "2            3                   4\n",
+       "3            4                   6\n",
+       "4            5                   5"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_contar=rental_count_month(df_junio,6,2005)\n",
+    "df_contar.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "fea31b55",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
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+       "\n",
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+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>rental_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "      <th>inventory_id</th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>return_date</th>\n",
+       "      <th>staff_id</th>\n",
+       "      <th>last_update</th>\n",
+       "      <th>alquileres_06_2005</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1158</td>\n",
+       "      <td>2005-06-14 22:53:33</td>\n",
+       "      <td>1632</td>\n",
+       "      <td>416</td>\n",
+       "      <td>2005-06-18 21:37:33</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1159</td>\n",
+       "      <td>2005-06-14 22:55:13</td>\n",
+       "      <td>4395</td>\n",
+       "      <td>516</td>\n",
+       "      <td>2005-06-17 02:11:13</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1160</td>\n",
+       "      <td>2005-06-14 23:00:34</td>\n",
+       "      <td>2795</td>\n",
+       "      <td>239</td>\n",
+       "      <td>2005-06-18 01:58:34</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1161</td>\n",
+       "      <td>2005-06-14 23:07:08</td>\n",
+       "      <td>1690</td>\n",
+       "      <td>285</td>\n",
+       "      <td>2005-06-21 17:12:08</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1162</td>\n",
+       "      <td>2005-06-14 23:09:38</td>\n",
+       "      <td>987</td>\n",
+       "      <td>310</td>\n",
+       "      <td>2005-06-23 22:00:38</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   rental_id         rental_date  inventory_id  customer_id  \\\n",
+       "0       1158 2005-06-14 22:53:33          1632          416   \n",
+       "1       1159 2005-06-14 22:55:13          4395          516   \n",
+       "2       1160 2005-06-14 23:00:34          2795          239   \n",
+       "3       1161 2005-06-14 23:07:08          1690          285   \n",
+       "4       1162 2005-06-14 23:09:38           987          310   \n",
+       "\n",
+       "          return_date  staff_id         last_update  alquileres_06_2005  \n",
+       "0 2005-06-18 21:37:33         2 2006-02-15 21:30:53                   5  \n",
+       "1 2005-06-17 02:11:13         1 2006-02-15 21:30:53                   6  \n",
+       "2 2005-06-18 01:58:34         2 2006-02-15 21:30:53                   5  \n",
+       "3 2005-06-21 17:12:08         1 2006-02-15 21:30:53                   3  \n",
+       "4 2005-06-23 22:00:38         1 2006-02-15 21:30:53                   6  "
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_meses=compare_rentals(df_junio,df_contar)\n",
+    "df_meses.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "13725788",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
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+       "        vertical-align: top;\n",
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+       "\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>customer_id</th>\n",
+       "      <th>alquileres_05_2005</th>\n",
+       "      <th>rental_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "      <th>inventory_id</th>\n",
+       "      <th>return_date</th>\n",
+       "      <th>staff_id</th>\n",
+       "      <th>last_update</th>\n",
+       "      <th>alquileres_06_2005</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1185</td>\n",
+       "      <td>2005-06-15 00:54:12</td>\n",
+       "      <td>2785</td>\n",
+       "      <td>2005-06-23 02:42:12</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1422</td>\n",
+       "      <td>2005-06-15 18:02:53</td>\n",
+       "      <td>1021</td>\n",
+       "      <td>2005-06-19 15:54:53</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1476</td>\n",
+       "      <td>2005-06-15 21:08:46</td>\n",
+       "      <td>1407</td>\n",
+       "      <td>2005-06-25 02:26:46</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1725</td>\n",
+       "      <td>2005-06-16 15:18:57</td>\n",
+       "      <td>726</td>\n",
+       "      <td>2005-06-17 21:05:57</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2308</td>\n",
+       "      <td>2005-06-18 08:41:48</td>\n",
+       "      <td>197</td>\n",
+       "      <td>2005-06-22 03:36:48</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   customer_id  alquileres_05_2005  rental_id         rental_date  \\\n",
+       "0            1                   2       1185 2005-06-15 00:54:12   \n",
+       "1            1                   2       1422 2005-06-15 18:02:53   \n",
+       "2            1                   2       1476 2005-06-15 21:08:46   \n",
+       "3            1                   2       1725 2005-06-16 15:18:57   \n",
+       "4            1                   2       2308 2005-06-18 08:41:48   \n",
+       "\n",
+       "   inventory_id         return_date  staff_id         last_update  \\\n",
+       "0          2785 2005-06-23 02:42:12         2 2006-02-15 21:30:53   \n",
+       "1          1021 2005-06-19 15:54:53         2 2006-02-15 21:30:53   \n",
+       "2          1407 2005-06-25 02:26:46         1 2006-02-15 21:30:53   \n",
+       "3           726 2005-06-17 21:05:57         1 2006-02-15 21:30:53   \n",
+       "4           197 2005-06-22 03:36:48         2 2006-02-15 21:30:53   \n",
+       "\n",
+       "   alquileres_06_2005  \n",
+       "0                   7  \n",
+       "1                   7  \n",
+       "2                   7  \n",
+       "3                   7  \n",
+       "4                   7  "
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dfsolucion=compare_rentals(df_final,df_contar)\n",
+    "dfsolucion.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "9e3cec2c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dfsolucion['diferencia']=dfsolucion['alquileres_06_2005']-dfsolucion['alquileres_05_2005']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "a6015f2d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\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>customer_id</th>\n",
+       "      <th>alquileres_05_2005</th>\n",
+       "      <th>rental_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "      <th>inventory_id</th>\n",
+       "      <th>return_date</th>\n",
+       "      <th>staff_id</th>\n",
+       "      <th>last_update</th>\n",
+       "      <th>alquileres_06_2005</th>\n",
+       "      <th>diferencia</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1185</td>\n",
+       "      <td>2005-06-15 00:54:12</td>\n",
+       "      <td>2785</td>\n",
+       "      <td>2005-06-23 02:42:12</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1422</td>\n",
+       "      <td>2005-06-15 18:02:53</td>\n",
+       "      <td>1021</td>\n",
+       "      <td>2005-06-19 15:54:53</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1476</td>\n",
+       "      <td>2005-06-15 21:08:46</td>\n",
+       "      <td>1407</td>\n",
+       "      <td>2005-06-25 02:26:46</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1725</td>\n",
+       "      <td>2005-06-16 15:18:57</td>\n",
+       "      <td>726</td>\n",
+       "      <td>2005-06-17 21:05:57</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2308</td>\n",
+       "      <td>2005-06-18 08:41:48</td>\n",
+       "      <td>197</td>\n",
+       "      <td>2005-06-22 03:36:48</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   customer_id  alquileres_05_2005  rental_id         rental_date  \\\n",
+       "0            1                   2       1185 2005-06-15 00:54:12   \n",
+       "1            1                   2       1422 2005-06-15 18:02:53   \n",
+       "2            1                   2       1476 2005-06-15 21:08:46   \n",
+       "3            1                   2       1725 2005-06-16 15:18:57   \n",
+       "4            1                   2       2308 2005-06-18 08:41:48   \n",
+       "\n",
+       "   inventory_id         return_date  staff_id         last_update  \\\n",
+       "0          2785 2005-06-23 02:42:12         2 2006-02-15 21:30:53   \n",
+       "1          1021 2005-06-19 15:54:53         2 2006-02-15 21:30:53   \n",
+       "2          1407 2005-06-25 02:26:46         1 2006-02-15 21:30:53   \n",
+       "3           726 2005-06-17 21:05:57         1 2006-02-15 21:30:53   \n",
+       "4           197 2005-06-22 03:36:48         2 2006-02-15 21:30:53   \n",
+       "\n",
+       "   alquileres_06_2005  diferencia  \n",
+       "0                   7           5  \n",
+       "1                   7           5  \n",
+       "2                   7           5  \n",
+       "3                   7           5  \n",
+       "4                   7           5  "
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dfsolucion.head()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.13.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}