Generation

generate functionSat, 25 Feb 2023

Write code that finds all rows in the rate_group column of Pandas with the values "1:" and "2:" and replaces them with np.nan.

def replace_in_column(df, column, old_value, new_value): df[column].replace(old_value, new_value, inplace=True)

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