Parameters:

• path: str, path object, file-like object, or None, default None – 

  String, path object (implementing os.PathLike[str]), or file-like object implementing a binary write() function. If None, the result is returned as bytes. If a string or path, it will be used as Root Directory path when writing a partitioned dataset.

• engine: {‘auto’, ‘pyarrow’, ‘fastparquet’}, default ‘auto’ – 

  Parquet library to use. If ‘auto’, then the option io.parquet.engine is used. The default io.parquet.engine behavior is to try ‘pyarrow’, falling back to ‘fastparquet’ if ‘pyarrow’ is unavailable.

• compression: {‘snappy’, ‘gzip’, ‘brotli’, None}, default ‘snappy’ – 

  Name of the compression to use. Use None for no compression.

• index: bool, default None – 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. Other indexes will be included as columns in the file output.
  
• partition_cols: list, optional, default None – 

  Column names by which to partition the dataset. Columns are partitioned in the order they are given. Must be None if path is not a string.

• storage_options: dict, optional –  Extra options that make sense for a particular storage connection, e.g. host, port, username, password, etc. For HTTP(S) URLs the key-value pairs are forwarded to urllib.request.Request as header options. For other URLs (e.g. starting with “s3://”, and “gcs://”) the key-value pairs are forwarded to fsspec.open. Please see fsspec and urllib for more details, and for more examples on storage options refer here.
• **kwargs – Additional arguments passed to the parquet library. See pandas io for more details.