4.2.1

import pandas as pd

# Prompt the user for the file name
file_name = input()

# Load the data
df = pd.read_csv(file_name)
df['Date'] = pd.to_datetime(df['Date'])
#Extract the month from the Date column
df ['Month'] = df['Date'].dt.to_period('M')
#Calculate the total sales for each row
df['Total_Sales'] = df['Quantity'] * df['Price']
#Group the data by Month and calculate the total sales for each month
monthly_sales = df.groupby('Month') ['Total_Sales'].sum()
# Find the month with the highest total sales
best_month = monthly_sales.idxmax()
highest_sales = monthly_sales.max()

print(f"Best month: {best_month}")
print(f"Total sales: ${highest_sales:.2f}")