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
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.
Release files for pyarrow 15.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyarrow-15.0.0.tar.gz | 1.1 MB | Details |
Built distributions (wheels)
Total release size: 1.1 GB
Release files / pyarrow-15.0.0.tar.gz
| Download URL | pyarrow-15.0.0.tar.gz |
|---|---|
| Size | 1.1 MB |
| Tags | Source |
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Release files / pyarrow-15.0.0-cp312-cp312-win_amd64.whl
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Release files / pyarrow-15.0.0-cp312-cp312-manylinux_2_28_x86_64.whl
| Download URL | pyarrow-15.0.0-cp312-cp312-manylinux_2_28_x86_64.whl |
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Release files / pyarrow-15.0.0-cp312-cp312-manylinux_2_28_aarch64.whl
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Release files / pyarrow-15.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Release files / pyarrow-15.0.0-cp312-cp312-macosx_11_0_arm64.whl
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Release files / pyarrow-15.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Release files / pyarrow-15.0.0-cp311-cp311-macosx_11_0_arm64.whl
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Release files / pyarrow-15.0.0-cp39-cp39-macosx_11_0_arm64.whl
| Download URL | pyarrow-15.0.0-cp39-cp39-macosx_11_0_arm64.whl |
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| Size | 24.2 MB |
| Tags | CPython 3.9 macOS 11.0+ ARM64 |
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twine/4.0.2 CPython/3.10.12
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Release files / pyarrow-15.0.0-cp39-cp39-macosx_10_15_x86_64.whl
| Download URL | pyarrow-15.0.0-cp39-cp39-macosx_10_15_x86_64.whl |
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| Size | 27.1 MB |
| Tags | CPython 3.9 macOS 10.15+ x86-64 |
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twine/4.0.2 CPython/3.10.12
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Release files / pyarrow-15.0.0-cp38-cp38-win_amd64.whl
| Download URL | pyarrow-15.0.0-cp38-cp38-win_amd64.whl |
|---|---|
| Size | 24.9 MB |
| Tags | CPython 3.8 Windows x86-64 |
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No |
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twine/4.0.2 CPython/3.10.12
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Release files / pyarrow-15.0.0-cp38-cp38-manylinux_2_28_x86_64.whl
| Download URL | pyarrow-15.0.0-cp38-cp38-manylinux_2_28_x86_64.whl |
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| Size | 38.4 MB |
| Tags | CPython 3.8 Linux glibc 2.28+ x86-64 |
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twine/4.0.2 CPython/3.10.12
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Release files / pyarrow-15.0.0-cp38-cp38-manylinux_2_28_aarch64.whl
| Download URL | pyarrow-15.0.0-cp38-cp38-manylinux_2_28_aarch64.whl |
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| Size | 35.7 MB |
| Tags | CPython 3.8 Linux glibc 2.28+ ARM64 |
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Release files / pyarrow-15.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | pyarrow-15.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 38.5 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 |
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twine/4.0.2 CPython/3.10.12
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Release files / pyarrow-15.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | pyarrow-15.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
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| Size | 36.2 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ ARM64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
|
Release files / pyarrow-15.0.0-cp38-cp38-macosx_11_0_arm64.whl
| Download URL | pyarrow-15.0.0-cp38-cp38-macosx_11_0_arm64.whl |
|---|---|
| Size | 24.2 MB |
| Tags | CPython 3.8 macOS 11.0+ ARM64 |
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No |
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twine/4.0.2 CPython/3.10.12
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Release files / pyarrow-15.0.0-cp38-cp38-macosx_10_15_x86_64.whl
| Download URL | pyarrow-15.0.0-cp38-cp38-macosx_10_15_x86_64.whl |
|---|---|
| Size | 27.1 MB |
| Tags | CPython 3.8 macOS 10.15+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
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