PyArrow is regularly built and tested on Windows, macOS and various Linux distributions (including Ubuntu 16.04, Ubuntu 18.04). We strongly recommend using a 64-bit system.
PyArrow is currently compatible with Python 3.7, 3.8, 3.9, 3.10 and 3.11.
Install the latest version of PyArrow from conda-forge using Conda:
conda install -c conda-forge pyarrow
Install the latest version from PyPI (Windows, Linux, and macOS):
pip install pyarrow
If you encounter any importing issues of the pip wheels on Windows, you may need to install the Visual C++ Redistributable for Visual Studio 2015.
On Linux, you will need pip >= 19.0 to detect the prebuilt binary packages.
Installing from source¶
See Python Development.
NumPy 1.16.6 or higher.
pandas 1.0 or higher,
Additional packages PyArrow is compatible with are fsspec and pytz, dateutil or tzdata package for timezones.