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Final Commit #375

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2 changes: 2 additions & 0 deletions .gitignore
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Original file line number Diff line number Diff line change
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.env
db_connection.py
277 changes: 277 additions & 0 deletions Solved_lab.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "0f9ec18a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: pandas in c:\\users\\rodri\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (2.3.3)\n",
"Requirement already satisfied: sqlalchemy in c:\\users\\rodri\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (2.0.45)\n",
"Collecting pymysql\n",
" Downloading pymysql-1.1.2-py3-none-any.whl.metadata (4.3 kB)\n",
"Requirement already satisfied: numpy>=1.26.0 in c:\\users\\rodri\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from pandas) (2.3.5)\n",
"Requirement already satisfied: python-dateutil>=2.8.2 in c:\\users\\rodri\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from pandas) (2.9.0.post0)\n",
"Requirement already satisfied: pytz>=2020.1 in c:\\users\\rodri\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from pandas) (2025.2)\n",
"Requirement already satisfied: tzdata>=2022.7 in c:\\users\\rodri\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from pandas) (2025.3)\n",
"Requirement already satisfied: greenlet>=1 in c:\\users\\rodri\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from sqlalchemy) (3.3.0)\n",
"Requirement already satisfied: typing-extensions>=4.6.0 in c:\\users\\rodri\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from sqlalchemy) (4.15.0)\n",
"Requirement already satisfied: six>=1.5 in c:\\users\\rodri\\appdata\\local\\programs\\python\\python313\\lib\\site-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n",
"Downloading pymysql-1.1.2-py3-none-any.whl (45 kB)\n",
"Installing collected packages: pymysql\n",
"Successfully installed pymysql-1.1.2\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"pip install pandas sqlalchemy pymysql\n"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "847fd242",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting python-dotenv\n",
" Downloading python_dotenv-1.2.1-py3-none-any.whl.metadata (25 kB)\n",
"Downloading python_dotenv-1.2.1-py3-none-any.whl (21 kB)\n",
"Installing collected packages: python-dotenv\n",
"Successfully installed python-dotenv-1.2.1\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"pip install python-dotenv\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "ac1e7b04",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"from sqlalchemy import create_engine\n",
"from dotenv import load_dotenv\n",
"import os\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "fb4353be",
"metadata": {},
"outputs": [],
"source": [
"\n",
"load_dotenv()\n",
"\n",
"def get_engine():\n",
" engine = create_engine(\n",
" f\"mysql+pymysql://{os.getenv('DB_USER')}:{os.getenv('DB_PASSWORD')}@\"\n",
" f\"{os.getenv('DB_HOST')}/{os.getenv('DB_NAME')}\"\n",
" )\n",
" return engine\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "e1ecb632",
"metadata": {},
"outputs": [],
"source": [
"def rentals_month(engine, month, year):\n",
" query = f\"\"\"\n",
" SELECT \n",
" customer_id,\n",
" rental_date\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\n"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "82512abf",
"metadata": {},
"outputs": [],
"source": [
"def rental_count_month(df, month, year):\n",
" column_name = f\"rentals_{month:02d}_{year}\"\n",
" \n",
" result = (\n",
" df.groupby(\"customer_id\")\n",
" .size()\n",
" .reset_index(name=column_name)\n",
" )\n",
" \n",
" return result\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "7e24fe5f",
"metadata": {},
"outputs": [],
"source": [
"def compare_rentals(df1, df2):\n",
" merged = pd.merge(\n",
" df1,\n",
" df2,\n",
" on=\"customer_id\",\n",
" how=\"inner\"\n",
" )\n",
" \n",
" col1 = merged.columns[1]\n",
" col2 = merged.columns[2]\n",
" \n",
" merged[\"difference\"] = merged[col2] - merged[col1]\n",
" \n",
" return merged\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "41e7285d",
"metadata": {},
"outputs": [
{
"data": {
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"<div>\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>customer_id</th>\n",
" <th>rentals_05_2005</th>\n",
" <th>rentals_06_2005</th>\n",
" <th>difference</th>\n",
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],
"text/plain": [
" customer_id rentals_05_2005 rentals_06_2005 difference\n",
"0 1 2 7 5\n",
"1 2 1 1 0\n",
"2 3 2 4 2\n",
"3 5 3 5 2\n",
"4 6 3 4 1"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Retrieve rentals\n",
"may_rentals = rentals_month(engine, 5, 2005)\n",
"june_rentals = rentals_month(engine, 6, 2005)\n",
"\n",
"# Count rentals per customer\n",
"may_counts = rental_count_month(may_rentals, 5, 2005)\n",
"june_counts = rental_count_month(june_rentals, 6, 2005)\n",
"\n",
"# Compare months\n",
"comparison = compare_rentals(may_counts, june_counts)\n",
"\n",
"comparison.head()\n"
]
}
],
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"display_name": "Python 3",
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