What is the primary purpose of the groupby([“date”, “state”]…
What is the primary purpose of the groupby([“date”, “state”]) operation in this code snippet? # Assume ‘df’ is a Pandas DataFrame with ‘date’, ‘state’, ‘cases’, and ‘deaths’ columnsstate_grouped = df.groupby([“date”, “state”], as_index=False)[[“cases”, “deaths”]].sum()
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