tree: 7cafd5f3efddad49ade33ef2ea9e128bc70ea963 [path history] [tgz]
  1. .coveragerc
  2. .flake8.cython
  3. .gitignore
  4. CMakeLists.txt
  5. Dockerfile
  6. Dockerfile.alpine
  7. Dockerfile.nopandas
  8. MANIFEST.in
  9. README.md
  10. asv-build.sh
  11. asv-install.sh
  12. asv-uninstall.sh
  13. asv.conf.json
  14. benchmarks/
  15. examples/
  16. manylinux1/
  17. manylinux2010/
  18. pyarrow/
  19. pyproject.toml
  20. requirements-build.txt
  21. requirements-test.txt
  22. requirements-wheel.txt
  23. requirements.txt
  24. scripts/
  25. setup.cfg
  26. setup.py
python/README.md

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.