hard20 pts · first answer countspythonpandasnull-handling

Filtering NaN with == in pandas

df['income'] has 200 missing values. Why does df[df['income'] == np.nan] return an empty DataFrame?

A.NaN is never equal to anything, even another NaN, so the comparison is always False; use df["income"].isna()B.np.nan must be written as None in pandasC.pandas stores missing values as 0D.The column must be converted to string first

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