## 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
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Release files for feather-format 0.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| feather-format-0.4.1.tar.gz | 3.2 kB | Details |
Release files / feather-format-0.4.1.tar.gz
| Download URL | feather-format-0.4.1.tar.gz |
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| Size | 3.2 kB |
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