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    "info": {
        "author": "Peter Zagubisalo",
        "author_email": "peter.zagubisalo@gmail.com",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Build Tools"
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        "description": "# Feather Helper\n\nFeather Helper is a concise interface to cache and load numpy arrays and pandas dataframes. I use it with  [Pandoctools/Knitty](https://github.com/kiwi0fruit/pandoctools).\n\n\n# Contents\n\n* [Feather Helper](#feather-helper)\n* [Contents](#contents)\n* [Install](#install)\n* [Usage example](#usage-example)\n\n\n# Install\n\nVia conda:\n\n```\nconda install -c defaults -c conda-forge featherhelper\n```\n\nVia pip:\n\n```\npip install featherhelper\n```\n\n\n## Usage example\n\n```py\nimport pandas as pd\nimport numpy as np\nimport featherhelper as fh\nfh.setdir(\"~/feather/mydoc\")  # (optional)\n# fh.exc(1, 2)  # force raise exceptions for names (optional)\n\n# %%\nfh.name(1)  # can also be fh.name('id1'), default is 'default', 1 is the same as '1'\ntry:\n    # raise fh.Err  # (optional)\n    df, A, B = fh.pull()  # control length can be set: fh.pull(N)\nexcept fh.Err:\n    # calculate:\n    print('push')  \n    df = pd.DataFrame(np.random.random(16).reshape(4, 4))\n    A = df.values\n    B = np.random.random(16 * 3).reshape(4, 2, 2, 3)\n    #\n    fh.push(df, A, B)\n\nprint(df, '\\n', A, '\\n', B)\n```\n\nA shorter example:\n```py\nimport numpy as np\nimport featherhelper as fh\n# fh.exc()\n\n# %%\ntry:\n    A = fh.pull()\nexcept fh.Err:\n    A = np.random.random(16).reshape(4, 4)\n    fh.push(A)\n```",
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        "name": "featherhelper",
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        "requires_python": ">=3.6",
        "summary": "Feather Helper is a concise interface to cache numpy arrays and pandas dataframes.",
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