Web Reference: Jul 11, 2025 · Reindexing in Pandas is used to change the row or column labels of a DataFrame to match a new set of indices. This is useful when aligning data, adding missing labels, or reshaping your DataFrame. Create a new index and reindex the DataFrame. By default values in the new index that do not have corresponding records in the DataFrame are assigned NaN. We can fill in the missing values by passing a value to the keyword fill_value. To start, let's load two DataFrames of temperature data recorded from Pittsburgh in 2013. For both calls to read_csv (), we use the index_col argument to specify which column becomes the...
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