Metadata-Version: 2.1
Name: pyarrow
Version: 0.12.0
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
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        ## 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:
        
        ```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
        ```
        
        ## Development
        
        ### Coding Style
        
        We follow a similar PEP8-like coding style to the [pandas project][3].
        
        The code must pass `flake8` (available from pip or conda) or it will fail the
        build. Check for style errors before submitting your pull request with:
        
        ```
        flake8 .
        flake8 --config=.flake8.cython .
        ```
        
        ### Building from Source
        
        See the [Development][2] page in the documentation.
        
        ### Running the unit tests
        
        We are using [pytest][4] to develop our unit test suite. After building the
        project using `setup.py build_ext --inplace`, you can run its unit tests like
        so:
        
        ```bash
        pytest pyarrow
        ```
        
        The project has a number of custom command line options for its test
        suite. Some tests are disabled by default, for example. To see all the options,
        run
        
        ```bash
        pytest pyarrow --help
        ```
        
        and look for the "custom options" section.
        
        For running the benchmarks, see the [Sphinx documentation][5].
        
        ### Building the documentation
        
        ```bash
        pip install -r ../docs/requirements.txt
        python setup.py build_sphinx -s ../docs/source
        ```
        
        [2]: https://github.com/apache/arrow/blob/master/docs/source/python/development.rst
        [3]: https://github.com/pandas-dev/pandas
        [4]: https://docs.pytest.org/en/latest/
        [5]: https://arrow.apache.org/docs/latest/python/benchmarks.html
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
