Skip to main content

Python interface to the Apache Arrow-based Feather File Format

Project description

## Python interface to the Apache Arrow-based Feather File Format

Feather efficiently stores pandas DataFrame objects on disk.

## Build

Building Feather requires a C++11 compiler. We’ve simplified the PyPI packaging to include libfeather (the C++ core library) to be built statically as part of the Python extension build, but this may change in the future.

## Limitations

Some features of pandas are not supported in Feather:

  • Non-string column names

  • Row indexes

  • Object-type columns with non-homogeneous data

## Mac notes

Anaconda uses a default 10.5 deployment target which does not have C++11 properly available. This can be fixed by setting:

` export MACOSX_DEPLOYMENT_TARGET=10.10 `

Project details


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-0.1.0.tar.gz (93.2 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page