Web Reference: Feb 23, 2026 · DataFrame.fillna () is used to replace missing values (NaN) in a Pandas DataFrame with a specified value or using a filling method. It helps clean incomplete data so that analysis and calculations can be performed correctly. Replace all NaN elements in column ‘A’, ‘B’, ‘C’, and ‘D’, with 0, 1, 2, and 3 respectively. Only replace the first NaN element. When filling using a DataFrame, replacement happens along the same column names and same indices. Note that column D is not affected since it is not present in df2. If it returns False, when it should contain NaN, then you probably have 'NaN' strings, in which case, use replace to convert them into NaN or, even better, replace with the value you're meant to replace it with.
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