feather-format 0.4.1

Meta

• License: Apache License, Version 2.0
• Author: Wes McKinney

Classifiers

• Development Status
  • 3 - Alpha
• Environment
  • Console
• Programming Language
  • Cython
  • Python
  • Python :: 2
  • Python :: 2.7
  • Python :: 3
  • Python :: 3.4
  • Python :: 3.5

## 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

Verified details

These details have been verified by PyPI

Maintainers

👁 Avatar for wesm from gravatar.com
wesm

Unverified details

These details have not been verified by PyPI

Project links

• Homepage

• Download URL: feather-format-0.4.1.tar.gz
• Upload date: Apr 27, 2020
• Size: 3.2 kB
• Tags: Source
• Uploaded using Trusted Publishing? No
• Uploaded via: Python-urllib/3.7

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.