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- Metadata-Version: 2.1
- Name: pyarrow
- Version: 5.0.0
- Summary: Python library for Apache Arrow
- Home-page: https://arrow.apache.org/
- Maintainer: Apache Arrow Developers
- Maintainer-email: dev@arrow.apache.org
- License: Apache License, Version 2.0
- Platform: UNKNOWN
- Classifier: License :: OSI Approved :: Apache Software License
- Classifier: Programming Language :: Python :: 3.6
- Classifier: Programming Language :: Python :: 3.7
- Classifier: Programming Language :: Python :: 3.8
- Classifier: Programming Language :: Python :: 3.9
- Requires-Python: >=3.6
- Description-Content-Type: text/markdown
- Requires-Dist: numpy (>=1.16.6)
- <!---
- Licensed to the Apache Software Foundation (ASF) under one
- or more contributor license agreements. See the NOTICE file
- distributed with this work for additional information
- regarding copyright ownership. The ASF licenses this file
- to you under the Apache License, Version 2.0 (the
- "License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at
- http://www.apache.org/licenses/LICENSE-2.0
- Unless required by applicable law or agreed to in writing,
- software distributed under the License is distributed on an
- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- KIND, either express or implied. See the License for the
- specific language governing permissions and limitations
- under the License.
- -->
- ## Python library for Apache Arrow
- [![pypi](https://img.shields.io/pypi/v/pyarrow.svg)](https://pypi.org/project/pyarrow/) [![conda-forge](https://img.shields.io/conda/vn/conda-forge/pyarrow.svg)](https://anaconda.org/conda-forge/pyarrow)
- 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:
- ```shell
- conda install pyarrow -c conda-forge
- ```
- On Linux, macOS, and Windows, you can also install binary wheels from PyPI with
- pip:
- ```shell
- 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][6].
- ## Development
- See [Python Development][2] in the documentation subproject.
- ### Building the documentation
- See [documentation build instructions][1] in the documentation subproject.
- [1]: https://github.com/apache/arrow/blob/master/docs/source/developers/documentation.rst
- [2]: https://github.com/apache/arrow/blob/master/docs/source/developers/python.rst
- [3]: https://github.com/pandas-dev/pandas
- [5]: https://arrow.apache.org/docs/latest/python/benchmarks.html
- [6]: https://www.microsoft.com/en-us/download/details.aspx?id=48145
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