Installing PyArrow

System Compatibility

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.

Python Compatibility

PyArrow pledges to maintain compatibility with Python 2.7 until the end of 2019. Other than that, PyArrow is currently compatible with Python 3.5, 3.6 and 3.7.

Using Conda

Install the latest version of PyArrow from conda-forge using Conda:

conda install -c conda-forge pyarrow

Using Pip

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.


Windows packages are only available for Python 3.5 and higher (this is also true for TensorFlow and any package that is implemented with modern C++).

Installing from source

See Python Development.