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The current cytominer-database version (only with the --parquet option) deals with missing columns explicitly by aligning dataframes (that will be concatenated and written to a Parquet file) with a specific reference dataframe:
`aligned_df, ref_df = df.align(ref_df, axis=1)``
Missing columns will be added as NaN-valued columns by default (with same column name and type as the reference frame). To choose a specific value, we could add the parameter fill_value to pandas.dataframe.align().
See also pycytominer/issues/79.
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