easy5 pts · first answer countssparkpysparknulls

Filling nulls per column

You want nulls in discount set to 0 and nulls in channel set to "unknown". Which call does this?

A.df.fillna({"discount": 0, "channel": "unknown"})B.df.fillna([0, "unknown"], ["discount", "channel"])C.df.dropna(subset=["discount", "channel"])D.df.replace({None: 0, None: "unknown"})

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Filling nulls per column

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