_get_filepath_or_buffer(filepath_or_buffer: 'FilePath | BaseBuffer', encoding: 'str' = 'utf-8', compression: 'CompressionOptions' = None, mode: 'str' = 'r', storage_options: 'StorageOptions' = None) -> 'IOArgs'
or buffer
For on-the-fly compression of the output data. If 'infer' and 'filepath_or_buffer' path-like, then detect compression from the following extensions: '.gz', '.bz2', '.zip', '.xz', or '.zst' (otherwise no compression). Set to None
for no compression. Can also be a dict with key 'method'
set to one of { 'zip'
, 'gzip'
, 'bz2'
, 'zstd'
} and other key-value pairs are forwarded to zipfile.ZipFile
, gzip.GzipFile
, bz2.BZ2File
, or zstandard.ZstdDecompressor
, respectively. As an example, the following could be passed for faster compression and to create a reproducible gzip archive: compression={'method': 'gzip', 'compresslevel': 1, 'mtime': 1}
.
Extra options that make sense for a particular storage connection, e.g. host, port, username, password, etc., if using a URL that will be parsed by fsspec
, e.g., starting "s3://", "gcs://". An error will be raised if providing this argument with a local path or a file-like buffer. See the fsspec and backend storage implementation docs for the set of allowed keys and values
Returns the dataclass IOArgs.
If the filepath_or_buffer is a url, translate and return the buffer. Otherwise passthrough.
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pandas.io.parsers.readers.read_table
pandas.io.parsers.readers.read_csv
pandas.core.generic.NDFrame.to_csv
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