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  1. Metadata-Version: 2.1
  2. Name: pyarrow
  3. Version: 5.0.0
  4. Summary: Python library for Apache Arrow
  5. Home-page: https://arrow.apache.org/
  6. Maintainer: Apache Arrow Developers
  7. Maintainer-email: dev@arrow.apache.org
  8. License: Apache License, Version 2.0
  9. Platform: UNKNOWN
  10. Classifier: License :: OSI Approved :: Apache Software License
  11. Classifier: Programming Language :: Python :: 3.6
  12. Classifier: Programming Language :: Python :: 3.7
  13. Classifier: Programming Language :: Python :: 3.8
  14. Classifier: Programming Language :: Python :: 3.9
  15. Requires-Python: >=3.6
  16. Description-Content-Type: text/markdown
  17. Requires-Dist: numpy (>=1.16.6)
  18. <!---
  19. Licensed to the Apache Software Foundation (ASF) under one
  20. or more contributor license agreements. See the NOTICE file
  21. distributed with this work for additional information
  22. regarding copyright ownership. The ASF licenses this file
  23. to you under the Apache License, Version 2.0 (the
  24. "License"); you may not use this file except in compliance
  25. with the License. You may obtain a copy of the License at
  26. http://www.apache.org/licenses/LICENSE-2.0
  27. Unless required by applicable law or agreed to in writing,
  28. software distributed under the License is distributed on an
  29. "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  30. KIND, either express or implied. See the License for the
  31. specific language governing permissions and limitations
  32. under the License.
  33. -->
  34. ## Python library for Apache Arrow
  35. [![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)
  36. This library provides a Python API for functionality provided by the Arrow C++
  37. libraries, along with tools for Arrow integration and interoperability with
  38. pandas, NumPy, and other software in the Python ecosystem.
  39. ## Installing
  40. Across platforms, you can install a recent version of pyarrow with the conda
  41. package manager:
  42. ```shell
  43. conda install pyarrow -c conda-forge
  44. ```
  45. On Linux, macOS, and Windows, you can also install binary wheels from PyPI with
  46. pip:
  47. ```shell
  48. pip install pyarrow
  49. ```
  50. If you encounter any issues importing the pip wheels on Windows, you may need
  51. to install the [Visual C++ Redistributable for Visual Studio 2015][6].
  52. ## Development
  53. See [Python Development][2] in the documentation subproject.
  54. ### Building the documentation
  55. See [documentation build instructions][1] in the documentation subproject.
  56. [1]: https://github.com/apache/arrow/blob/master/docs/source/developers/documentation.rst
  57. [2]: https://github.com/apache/arrow/blob/master/docs/source/developers/python.rst
  58. [3]: https://github.com/pandas-dev/pandas
  59. [5]: https://arrow.apache.org/docs/latest/python/benchmarks.html
  60. [6]: https://www.microsoft.com/en-us/download/details.aspx?id=48145