feather-format


Namefeather-format JSON
Version 0.4.1 PyPI version JSON
download
home_pagehttp://github.com/wesm/feather
SummarySimple wrapper library to the Apache Arrow-based Feather File Format
upload_time2020-04-27 21:56:00
maintainer
docs_urlNone
authorWes McKinney
requires_python
licenseApache License, Version 2.0
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI
coveralls test coverage No coveralls.
            ## Python interface to the Apache Arrow-based Feather File Format

Feather efficiently stores pandas DataFrame objects on disk. It depends on the
Apache Arrow for Python

## Installing

```shell
pip install feather-format
```

pip users note: ``feather-format`` depends on ``pyarrow`` and may not be
available on your platform via pip. If that does not work try conda-forge.

From [conda-forge][1]:

```shell
conda install feather-format -c conda-forge
```

## Limitations

Some features of pandas are not supported in Feather:

* Non-string column names
* Row indexes
* Object-type columns with non-homogeneous data

[1]: https://conda-forge.github.io
            

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