You import the necessary libraries You load a CSV file containing daily sales data into a DataFrame, parse the 'date' column as datetime, and perform some initial data exploration You group the data ...
# Ensure index is datetime data.index = pd.to_datetime(data.index, errors='coerce') # Drop rows where datetime parsing failed (if any) data = data.dropna() # Now ...
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