to_feather(self, path: 'FilePath | WriteBuffer[bytes]', **kwargs) -> 'None'
This function writes the dataframe as a :None:None:`feather file
<https://arrow.apache.org/docs/python/feather.html>`. Requires a default index. For saving the DataFrame with your custom index use a method that supports custom indices e.g. to_parquet
.
String, path object (implementing os.PathLike[str]
), or file-like object implementing a binary write()
function. If a string or a path, it will be used as Root Directory path when writing a partitioned dataset.
Additional keywords passed to pyarrow.feather.write_feather
. Starting with pyarrow 0.17, this includes the :None:None:`compression`, :None:None:`compression_level`, :None:None:`chunksize` and version
keywords.
Write a DataFrame to the binary Feather format.
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.generic.NDFrame.to_hdf
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