pyarrow

Python library for Apache Arrow

Project description

Python library for Apache Arrow

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

Development

See Python Development in the documentation subproject.

Building the documentation

See documentation build instructions in the documentation subproject.

Project details

Release history Release notifications | RSS feed

3.0.0

Jan 26, 2021

2.0.0

Oct 19, 2020

1.0.1

Aug 21, 2020

1.0.0

Jul 24, 2020

0.17.1

May 18, 2020

0.17.0

Apr 20, 2020

0.16.0

Feb 7, 2020

0.15.1

Nov 1, 2019

0.15.0

Oct 5, 2019

This version

0.14.1

Jul 22, 2019

0.14.0

Jul 4, 2019

0.13.0

Mar 31, 2019

0.12.1

Feb 25, 2019

0.12.0

Jan 20, 2019

0.11.1

Oct 24, 2018

0.11.0

Oct 8, 2018

0.10.0

Aug 6, 2018

0.9.0.post1

Apr 6, 2018

0.9.0

Mar 25, 2018

0.8.0

Dec 17, 2017

0.7.1

Oct 3, 2017

0.7.0

Sep 18, 2017

0.6.0

Aug 16, 2017

0.5.0.post2

Aug 2, 2017

0.5.0

Jul 25, 2017

0.4.1

Jun 13, 2017

0.4.0

May 23, 2017

0.3.0

May 8, 2017

0.2.0

Mar 16, 2017

0.1.0

Feb 3, 2017

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Files for pyarrow, version 0.14.1
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Filename, size pyarrow-0.14.1-cp27-cp27mu-manylinux2010_x86_64.whl (17.6 MB)	File type Wheel	Python version cp27	Upload date Jul 22, 2019	Hashes View
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Filename, size pyarrow-0.14.1-cp36-cp36m-manylinux2010_x86_64.whl (58.1 MB)	File type Wheel	Python version cp36	Upload date Jul 22, 2019	Hashes View
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Filename, size pyarrow-0.14.1-cp37-cp37m-manylinux1_x86_64.whl (58.2 MB)	File type Wheel	Python version cp37	Upload date Jul 22, 2019	Hashes View
Filename, size pyarrow-0.14.1-cp37-cp37m-manylinux2010_x86_64.whl (58.1 MB)	File type Wheel	Python version cp37	Upload date Jul 22, 2019	Hashes View

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