Web Reference: The advantage of this method is that we can conditionally replace NaN values with it. The following is an example where NaN values in df are replaced by 10 if the condition cond is satisfied. 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. 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.
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