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Simply by using the encodings on the data, Parquet files only have a fifth of the size of the original (UTF-8 encoded) CSVs. Using universal compression codecs, we can save another factor of two in the size of Parquet files. A speciality of the Parquet format is that the compression is applied to individual segments of a file, not globally. 2022. 4. 6. · If True, include the dataframe’s index(es) in the file output. If False, they will not be written to the file. If None, similar to True the dataframe’s index(es) will be saved. However, instead of being saved as values, the RangeIndex will be stored as a range in the metadata so it doesn’t require much space and is faster. First, write the dataframe df into a pyarrow table. # Convert DataFrame to Apache Arrow Table table = pa.Table.from_pandas (df_image_0) Second, write the table into parquet file say file_name.parquet # Parquet with Brotli compression pq.write_table (table, 'file_name.parquet') NOTE: parquet files can be further compressed while writing.