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Quickly generate efficient and well-documented Python code snippets by describing your desired functionality and requirements.


import pandas as pdimport matplotlib.pyplot as pltfrom datetime import datetimedef analyze_sales_data(csv_file): # Load the CSV file df = sales_data = pd.read_csv(csv_file) # Convert date column to datetime format df['Date'] = pd.to_datetime(df['Date']) # Group by month and calculate metrics monthly_sales = df.groupby(df['Date'].dt.strftime('%Y-%m'))['Amount'].sum() # Generate report print(f"Monthly Sales Report - Generated on {datetime.now().strftime('%Y-%m-%d')}")
|import pandas as pdimport matplotlib.pyplot as pltfrom datetime import datetimedef analyze_sales_data(csv_file): # Load the CSV file df = sales_data = pd.read_csv(csv_file) # Convert date column to datetime format df['Date'] = pd.to_datetime(df['Date']) # Group by month and calculate metrics monthly_sales = df.groupby(df['Date'].dt.strftime('%Y-%m'))['Amount'].sum() # Generate report print(f"Monthly Sales Report - Generated on {datetime.now().strftime('%Y-%m-%d')}")
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