diff --git a/lab_sql_python_connection.ipynb b/lab_sql_python_connection.ipynb
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+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "4212c555",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "from sqlalchemy import create_engine\n",
+ "import getpass\n",
+ "from urllib.parse import quote_plus\n",
+ "\n",
+ "password = quote_plus(getpass.getpass())\n",
+ "\n",
+ "engine = create_engine(f\"mysql+pymysql://root:{password}@localhost/sakila\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "6fe918ee",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def rentals_month(engine, month, year):\n",
+ " \n",
+ " query = f\"\"\"\n",
+ " SELECT *\n",
+ " FROM rental\n",
+ " WHERE MONTH(rental_date) = {month}\n",
+ " AND YEAR(rental_date) = {year}\n",
+ " \"\"\"\n",
+ " \n",
+ " df = pd.read_sql(query, engine)\n",
+ " return df"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "0ff1a2ae",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def rental_count_month(df, month, year):\n",
+ " \n",
+ " result = (\n",
+ " df.groupby('customer_id')\n",
+ " .size()\n",
+ " .reset_index(name=f\"rentals_{month:02d}_{year}\")\n",
+ " )\n",
+ " \n",
+ " return result"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "1cfda834",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def compare_rentals(df1, df2):\n",
+ " \n",
+ " merged = pd.merge(df1, df2, on='customer_id', how='outer').fillna(0)\n",
+ " \n",
+ " col1 = df1.columns[1]\n",
+ " col2 = df2.columns[1]\n",
+ " \n",
+ " merged['difference'] = merged[col2] - merged[col1]\n",
+ " \n",
+ " return merged"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "c9147801",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " customer_id | \n",
+ " rentals_05_2005 | \n",
+ " rentals_06_2005 | \n",
+ " difference | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 1 | \n",
+ " 2.0 | \n",
+ " 7.0 | \n",
+ " 5.0 | \n",
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+ " 2 | \n",
+ " 1.0 | \n",
+ " 1.0 | \n",
+ " 0.0 | \n",
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+ " \n",
+ " | 2 | \n",
+ " 3 | \n",
+ " 2.0 | \n",
+ " 4.0 | \n",
+ " 2.0 | \n",
+ "
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+ " \n",
+ " | 3 | \n",
+ " 4 | \n",
+ " 0.0 | \n",
+ " 6.0 | \n",
+ " 6.0 | \n",
+ "
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+ " \n",
+ " | 4 | \n",
+ " 5 | \n",
+ " 3.0 | \n",
+ " 5.0 | \n",
+ " 2.0 | \n",
+ "
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+ " \n",
+ "
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+ "
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+ ],
+ "text/plain": [
+ " customer_id rentals_05_2005 rentals_06_2005 difference\n",
+ "0 1 2.0 7.0 5.0\n",
+ "1 2 1.0 1.0 0.0\n",
+ "2 3 2.0 4.0 2.0\n",
+ "3 4 0.0 6.0 6.0\n",
+ "4 5 3.0 5.0 2.0"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Mayo\n",
+ "may_df = rentals_month(engine, 5, 2005)\n",
+ "may_counts = rental_count_month(may_df, 5, 2005)\n",
+ "\n",
+ "# Junio\n",
+ "jun_df = rentals_month(engine, 6, 2005)\n",
+ "jun_counts = rental_count_month(jun_df, 6, 2005)\n",
+ "\n",
+ "# Comparación\n",
+ "comparison = compare_rentals(may_counts, jun_counts)\n",
+ "\n",
+ "comparison.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "c1112890",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " customer_id | \n",
+ " rentals_05_2005 | \n",
+ " rentals_06_2005 | \n",
+ " difference | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 30 | \n",
+ " 31 | \n",
+ " 0.0 | \n",
+ " 11.0 | \n",
+ " 11.0 | \n",
+ "
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+ " \n",
+ " | 452 | \n",
+ " 454 | \n",
+ " 1.0 | \n",
+ " 10.0 | \n",
+ " 9.0 | \n",
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+ " 329 | \n",
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+ ],
+ "text/plain": [
+ " customer_id rentals_05_2005 rentals_06_2005 difference\n",
+ "30 31 0.0 11.0 11.0\n",
+ "452 454 1.0 10.0 9.0\n",
+ "327 329 0.0 9.0 9.0\n",
+ "211 213 1.0 9.0 8.0\n",
+ "177 178 0.0 8.0 8.0"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "comparison.sort_values('difference', ascending=False).head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "17fb4b73",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Conclusión:\n",
+ "Los clientes con diferencia positiva alquilaron más en junio que en mayo.\n",
+ "Los negativos redujeron su actividad.\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(\"Conclusión:\")\n",
+ "print(\"Los clientes con diferencia positiva alquilaron más en junio que en mayo.\")\n",
+ "print(\"Los negativos redujeron su actividad.\")"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "base",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
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+ "name": "ipython",
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+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.13.9"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}