Skip to main content

Python library for Apache Arrow

Project description

Python library for Apache Arrow

pypi conda-forge

This library provides a Python API for functionality provided by the Arrow C++ libraries, along with tools for Arrow integration and interoperability with pandas, NumPy, and other software in the Python ecosystem.

Installing

Across platforms, you can install a recent version of pyarrow with the conda package manager:

conda install pyarrow -c conda-forge

On Linux, macOS, and Windows, you can also install binary wheels from PyPI with pip:

pip install pyarrow

If you encounter any issues importing the pip wheels on Windows, you may need to install the Visual C++ Redistributable for Visual Studio 2015.

Development

See Python Development in the documentation subproject.

Building the documentation

See documentation build instructions in the documentation subproject.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

pyarrow_cramjam-14.1.5-cp39-cp39-manylinux_2_28_x86_64.whl (40.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.28+ x86-64

File details

Details for the file pyarrow_cramjam-14.1.5-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow_cramjam-14.1.5-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 fcbe2283188d6325000e9360493aed7ec92aec733e098168b6722442567bb980
MD5 fa5daf9df0e8d923282bd5c613e02355
BLAKE2b-256 550da00f9287aa39c4d99efe31bf2c4819805cf5114077056d6ca62550f6be26

See more details on using hashes here.

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