pandas.read_parquet#
- pandas.read_parquet(path, engine='auto', columns=None, storage_options=None, use_nullable_dtypes=False, **kwargs)[source]#
Load a parquet object from the file path, returning a DataFrame.
- Parameters
- pathstr, path object or file-like object
String, path object (implementing
os.PathLike[str]), or file-like object implementing a binaryread()function. The string could be a URL. Valid URL schemes include http, ftp, s3, gs, and file. For file URLs, a host is expected. A local file could be:file://localhost/path/to/table.parquet. A file URL can also be a path to a directory that contains multiple partitioned parquet files. Both pyarrow and fastparquet support paths to directories as well as file URLs. A directory path could be:file://localhost/path/to/tablesors3://bucket/partition_dir.- engine{‘auto’, ‘pyarrow’, ‘fastparquet’}, default ‘auto’
Parquet library to use. If ‘auto’, then the option
io.parquet.engineis used. The defaultio.parquet.enginebehavior is to try ‘pyarrow’, falling back to ‘fastparquet’ if ‘pyarrow’ is unavailable.- columnslist, default=None
If not None, only these columns will be read from the file.
- storage_optionsdict, 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
urllibas header options. For other URLs (e.g. starting with “s3://”, and “gcs://”) the key-value pairs are forwarded tofsspec. Please seefsspecandurllibfor more details.New in version 1.3.0.
- use_nullable_dtypesbool, default False
If True, use dtypes that use
pd.NAas missing value indicator for the resulting DataFrame. (only applicable for thepyarrowengine) As new dtypes are added that supportpd.NAin the future, the output with this option will change to use those dtypes. Note: this is an experimental option, and behaviour (e.g. additional support dtypes) may change without notice.New in version 1.2.0.
- **kwargs
Any additional kwargs are passed to the engine.
- Returns
- DataFrame