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.
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
We follow a similar PEP8-like coding style to the pandas project.
The code must pass flake8 (available from pip or conda) or it will fail the build. Check for style errors before submitting your pull request with:
flake8 . flake8 --config=.flake8.cython .
See the Development page in the documentation.
pip install -r doc/requirements.txt python setup.py build_sphinx -s doc/source