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324 changes: 324 additions & 0 deletions lab-sql-python-connection.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 14,
"id": "93e4a2fa",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: pip in c:\\Users\\juanb\\AppData\\Local\\Python\\pythoncore-3.14-64\\Lib\\site-packages (26.0.1)\n",
"Collecting pip\n",
" Downloading pip-26.1-py3-none-any.whl.metadata (4.6 kB)\n",
"Downloading pip-26.1-py3-none-any.whl (1.8 MB)\n",
" ---------------------------------------- 0.0/1.8 MB ? eta -:--:--\n",
" ----------------------- ---------------- 1.0/1.8 MB 12.0 MB/s eta 0:00:01\n",
" ---------------------------------------- 1.8/1.8 MB 10.9 MB/s 0:00:00\n",
"Installing collected packages: pip\n",
" Attempting uninstall: pip\n",
" Found existing installation: pip 26.0.1\n",
" Uninstalling pip-26.0.1:\n",
" Successfully uninstalled pip-26.0.1\n",
"Successfully installed pip-26.1\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
" WARNING: The scripts pip.exe, pip3.14.exe and pip3.exe are installed in 'c:\\Users\\juanb\\AppData\\Local\\Python\\pythoncore-3.14-64\\Scripts' which is not on PATH.\n",
" Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting cryptography\n",
" Downloading cryptography-47.0.0-cp311-abi3-win_amd64.whl.metadata (4.5 kB)\n",
"Requirement already satisfied: sqlalchemy in c:\\Users\\juanb\\AppData\\Local\\Python\\pythoncore-3.14-64\\Lib\\site-packages (2.0.49)\n",
"Requirement already satisfied: pandas in c:\\Users\\juanb\\AppData\\Local\\Python\\pythoncore-3.14-64\\Lib\\site-packages (3.0.2)\n",
"Requirement already satisfied: PyMySQL[rsa] in c:\\Users\\juanb\\AppData\\Local\\Python\\pythoncore-3.14-64\\Lib\\site-packages (1.1.2)\n",
"Collecting cffi>=2.0.0 (from cryptography)\n",
" Downloading cffi-2.0.0-cp314-cp314-win_amd64.whl.metadata (2.6 kB)\n",
"Requirement already satisfied: greenlet>=1 in c:\\Users\\juanb\\AppData\\Local\\Python\\pythoncore-3.14-64\\Lib\\site-packages (from sqlalchemy) (3.5.0)\n",
"Requirement already satisfied: typing-extensions>=4.6.0 in c:\\Users\\juanb\\AppData\\Local\\Python\\pythoncore-3.14-64\\Lib\\site-packages (from sqlalchemy) (4.15.0)\n",
"Requirement already satisfied: numpy>=2.3.3 in c:\\Users\\juanb\\AppData\\Local\\Python\\pythoncore-3.14-64\\Lib\\site-packages (from pandas) (2.4.4)\n",
"Requirement already satisfied: python-dateutil>=2.8.2 in C:\\Users\\juanb\\AppData\\Roaming\\Python\\Python314\\site-packages (from pandas) (2.9.0.post0)\n",
"Requirement already satisfied: tzdata in c:\\Users\\juanb\\AppData\\Local\\Python\\pythoncore-3.14-64\\Lib\\site-packages (from pandas) (2026.1)\n",
"Collecting pycparser (from cffi>=2.0.0->cryptography)\n",
" Downloading pycparser-3.0-py3-none-any.whl.metadata (8.2 kB)\n",
"Requirement already satisfied: six>=1.5 in C:\\Users\\juanb\\AppData\\Roaming\\Python\\Python314\\site-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n",
"Downloading cryptography-47.0.0-cp311-abi3-win_amd64.whl (3.8 MB)\n",
" ---------------------------------------- 0.0/3.8 MB ? eta -:--:--\n",
" ------------------- -------------------- 1.8/3.8 MB 11.8 MB/s eta 0:00:01\n",
" ---------------------------------------- 3.8/3.8 MB 11.5 MB/s 0:00:00\n",
"Downloading cffi-2.0.0-cp314-cp314-win_amd64.whl (185 kB)\n",
"Downloading pycparser-3.0-py3-none-any.whl (48 kB)\n",
"Installing collected packages: pycparser, cffi, cryptography\n",
"\n",
" ------------- -------------------------- 1/3 [cffi]\n",
" -------------------------- ------------- 2/3 [cryptography]\n",
" -------------------------- ------------- 2/3 [cryptography]\n",
" -------------------------- ------------- 2/3 [cryptography]\n",
" -------------------------- ------------- 2/3 [cryptography]\n",
" -------------------------- ------------- 2/3 [cryptography]\n",
" ---------------------------------------- 3/3 [cryptography]\n",
"\n",
"Successfully installed cffi-2.0.0 cryptography-47.0.0 pycparser-3.0\n"
]
}
],
"source": [
"import sys\n",
"!{sys.executable} -m pip install --upgrade pip\n",
"!{sys.executable} -m pip install cryptography PyMySQL[rsa] sqlalchemy pandas"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "c9d89375",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Conectado con éxito a: sakila\n"
]
}
],
"source": [
"# !pip install mysql-connector-python sqlalchemy pandas\n",
"\n",
"from sqlalchemy import create_engine, text\n",
"\n",
"USER = \"root\"\n",
"PASSWORD = \"231128101507-{}>=+][\"\n",
"HOST = \"localhost\"\n",
"PORT = 3306\n",
"DATABASE = \"sakila\"\n",
"\n",
"# Usamos mysql-connector-python en lugar de pymysql\n",
"connection_url = f\"mysql+mysqlconnector://{USER}:{PASSWORD}@{HOST}:{PORT}/{DATABASE}\"\n",
"\n",
"engine = create_engine(\n",
" connection_url,\n",
" pool_pre_ping=True\n",
")\n",
"\n",
"with engine.connect() as connection:\n",
" result = connection.execute(text(\"SELECT DATABASE();\"))\n",
" print(\"Conectado con éxito a:\", result.fetchone()[0])"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "1d9386d3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Connected to database: sakila\n",
"\n",
"--- Rentals in May 2005 ---\n",
"Empty DataFrame\n",
"Columns: [rental_id, rental_date, inventory_id, customer_id, return_date, staff_id]\n",
"Index: []\n",
"\n",
"--- Rentals in June 2005 ---\n",
"Empty DataFrame\n",
"Columns: [rental_id, rental_date, inventory_id, customer_id, return_date, staff_id]\n",
"Index: []\n",
"\n",
"--- Rental counts in May 2005 ---\n",
"Empty DataFrame\n",
"Columns: [customer_id, rentals_05_2005]\n",
"Index: []\n",
"\n",
"--- Rental counts in June 2005 ---\n",
"Empty DataFrame\n",
"Columns: [customer_id, rentals_06_2005]\n",
"Index: []\n",
"\n",
"--- Customers active in both months ---\n",
"Empty DataFrame\n",
"Columns: [customer_id, rentals_05_2005, rentals_06_2005, difference]\n",
"Index: []\n",
"\n",
"--- Final report with activity change ---\n",
"Empty DataFrame\n",
"Columns: [customer_id, rentals_05_2005, rentals_06_2005, difference, activity_change]\n",
"Index: []\n"
]
}
],
"source": [
"import pandas as pd\n",
"from sqlalchemy import create_engine, text\n",
"\n",
"# --------------------------------------------------\n",
"# 1. Establish connection to Sakila\n",
"# --------------------------------------------------\n",
"USER = \"root\"\n",
"PASSWORD = \"231128101507-{}>=+][\"\n",
"HOST = \"localhost\"\n",
"PORT = 3306\n",
"DATABASE = \"sakila\"\n",
"\n",
"connection_url = f\"mysql+pymysql://{USER}:{PASSWORD}@{HOST}:{PORT}/{DATABASE}\"\n",
"\n",
"engine = create_engine(\n",
" connection_url,\n",
" pool_pre_ping=True\n",
")\n",
"\n",
"with engine.connect() as connection:\n",
" result = connection.execute(text(\"SELECT DATABASE();\"))\n",
" current_db = result.fetchone()[0]\n",
" print(\"Connected to database:\", current_db)\n",
"\n",
"\n",
"# --------------------------------------------------\n",
"# 2. Function: rentals_month\n",
"# --------------------------------------------------\n",
"def rentals_month(engine, month, year):\n",
" start_date = f\"{year}-{month:02d}-01\"\n",
"\n",
" if month == 12:\n",
" end_date = f\"{year + 1}-01-01\"\n",
" else:\n",
" end_date = f\"{year}-{month + 1:02d}-01\"\n",
"\n",
" query = text(\"\"\"\n",
" SELECT\n",
" rental_id,\n",
" rental_date,\n",
" inventory_id,\n",
" customer_id,\n",
" return_date,\n",
" staff_id\n",
" FROM rental\n",
" WHERE rental_date >= :start_date\n",
" AND rental_date < :end_date\n",
" ORDER BY customer_id, rental_date\n",
" \"\"\")\n",
"\n",
" df = pd.read_sql_query(\n",
" sql=query,\n",
" con=engine,\n",
" params={\"start_date\": start_date, \"end_date\": end_date}\n",
" )\n",
"\n",
" return df\n",
"\n",
"\n",
"# --------------------------------------------------\n",
"# 3. Function: rental_count_month\n",
"# --------------------------------------------------\n",
"def rental_count_month(df, month, year):\n",
" column_name = f\"rentals_{month:02d}_{year}\"\n",
"\n",
" rental_counts = (\n",
" df.groupby(\"customer_id\")\n",
" .size()\n",
" .reset_index(name=column_name)\n",
" .sort_values(by=\"customer_id\")\n",
" .reset_index(drop=True)\n",
" )\n",
"\n",
" return rental_counts\n",
"\n",
"\n",
"# --------------------------------------------------\n",
"# 4. Function: compare_rentals\n",
"# --------------------------------------------------\n",
"def compare_rentals(df1, df2):\n",
" comparison = pd.merge(df1, df2, on=\"customer_id\", how=\"inner\")\n",
"\n",
" col1 = df1.columns[1]\n",
" col2 = df2.columns[1]\n",
"\n",
" comparison[\"difference\"] = comparison[col2] - comparison[col1]\n",
"\n",
" return comparison\n",
"\n",
"\n",
"# --------------------------------------------------\n",
"# 5. Run analysis for May and June 2005\n",
"# --------------------------------------------------\n",
"may_rentals = rentals_month(engine, 5, 2005)\n",
"june_rentals = rentals_month(engine, 6, 2005)\n",
"\n",
"may_counts = rental_count_month(may_rentals, 5, 2005)\n",
"june_counts = rental_count_month(june_rentals, 6, 2005)\n",
"\n",
"comparison_df = compare_rentals(may_counts, june_counts)\n",
"\n",
"\n",
"# --------------------------------------------------\n",
"# 6. Optional improvement\n",
"# --------------------------------------------------\n",
"def add_activity_label(df):\n",
" df = df.copy()\n",
" df[\"activity_change\"] = df[\"difference\"].apply(\n",
" lambda x: \"increased\" if x > 0 else (\"decreased\" if x < 0 else \"same\")\n",
" )\n",
" return df\n",
"\n",
"\n",
"final_report = add_activity_label(comparison_df)\n",
"\n",
"\n",
"# --------------------------------------------------\n",
"# 7. Output\n",
"# --------------------------------------------------\n",
"print(\"\\n--- Rentals in May 2005 ---\")\n",
"print(may_rentals.head())\n",
"\n",
"print(\"\\n--- Rentals in June 2005 ---\")\n",
"print(june_rentals.head())\n",
"\n",
"print(\"\\n--- Rental counts in May 2005 ---\")\n",
"print(may_counts.head())\n",
"\n",
"print(\"\\n--- Rental counts in June 2005 ---\")\n",
"print(june_counts.head())\n",
"\n",
"print(\"\\n--- Customers active in both months ---\")\n",
"print(comparison_df.head())\n",
"\n",
"print(\"\\n--- Final report with activity change ---\")\n",
"print(final_report.head(10))"
]
}
],
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