Skip to main content

## 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

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

feather-format-0.4.1.tar.gz (3.2 kB view details)

Uploaded Source

File details

Details for the file feather-format-0.4.1.tar.gz.

File metadata

  • Download URL: feather-format-0.4.1.tar.gz
  • Upload date:
  • Size: 3.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: Python-urllib/3.7

File hashes

Hashes for feather-format-0.4.1.tar.gz
Algorithm Hash digest
SHA256 45f67e3745d394d4f160ca6d636bbfd4f8b68d01199dc1649b6e487d3e878903
MD5 d7c1fbc2248b36a20fa80733f89c3332
BLAKE2b-256 67e8ee99f142f19d35588501943510f8217f9dd77184574b0c933c53218e0f19

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

0.4.1 This release

1 file

0.4.0

1 file

0.3.1

1 file

0.3.0

1 file

0.2.0

1 file

0.1.2

1 file

0.1.1

1 file

0.1.0

1 file

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page