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83 lines
2.9 KiB
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83 lines
2.9 KiB
Plaintext
Metadata-Version: 2.1
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Name: pyarrow
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Version: 8.0.0
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Summary: Python library for Apache Arrow
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Home-page: https://arrow.apache.org/
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Maintainer: Apache Arrow Developers
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Maintainer-email: dev@arrow.apache.org
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License: Apache License, Version 2.0
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Project-URL: Documentation, https://arrow.apache.org/docs/python
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Project-URL: Source, https://github.com/apache/arrow
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Platform: UNKNOWN
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Classifier: License :: OSI Approved :: Apache Software License
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Requires-Python: >=3.7
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Description-Content-Type: text/markdown
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License-File: ../LICENSE.txt
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License-File: ../NOTICE.txt
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Requires-Dist: numpy (>=1.16.6)
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<!---
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Licensed to the Apache Software Foundation (ASF) under one
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or more contributor license agreements. See the NOTICE file
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distributed with this work for additional information
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regarding copyright ownership. The ASF licenses this file
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to you under the Apache License, Version 2.0 (the
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"License"); you may not use this file except in compliance
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with the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing,
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software distributed under the License is distributed on an
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"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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KIND, either express or implied. See the License for the
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specific language governing permissions and limitations
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under the License.
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-->
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## Python library for Apache Arrow
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[](https://pypi.org/project/pyarrow/) [](https://anaconda.org/conda-forge/pyarrow)
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This library provides a Python API for functionality provided by the Arrow C++
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libraries, along with tools for Arrow integration and interoperability with
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pandas, NumPy, and other software in the Python ecosystem.
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## Installing
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Across platforms, you can install a recent version of pyarrow with the conda
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package manager:
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```shell
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conda install pyarrow -c conda-forge
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```
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On Linux, macOS, and Windows, you can also install binary wheels from PyPI with
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pip:
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```shell
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pip install pyarrow
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```
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If you encounter any issues importing the pip wheels on Windows, you may need
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to install the [Visual C++ Redistributable for Visual Studio 2015][6].
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## Development
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See [Python Development][2] in the documentation subproject.
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### Building the documentation
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See [documentation build instructions][1] in the documentation subproject.
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[1]: https://github.com/apache/arrow/blob/master/docs/source/developers/documentation.rst
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[2]: https://github.com/apache/arrow/blob/master/docs/source/developers/python.rst
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[3]: https://github.com/pandas-dev/pandas
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[5]: https://arrow.apache.org/docs/latest/python/benchmarks.html
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[6]: https://www.microsoft.com/en-us/download/details.aspx?id=48145
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