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        "author": "Joachim Ungar",
        "author_email": "joachim.ungar@gmail.com",
        "bugtrack_url": null,
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            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering :: GIS"
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        "description": "===============\nmapchete xarray\n===============\n\nThis driver enables mapchete to write multidimensional arrays into a tile directory structure.\n\n.. image:: https://badge.fury.io/py/mapchete_xarray.svg\n    :target: https://badge.fury.io/py/mapchete_xarray\n\n.. image:: https://travis-ci.org/ungarj/mapchete_xarray.svg?branch=master\n    :target: https://travis-ci.org/ungarj/mapchete_xarray\n\n.. image:: https://coveralls.io/repos/github/ungarj/mapchete_xarray/badge.svg?branch=master\n    :target: https://coveralls.io/github/ungarj/mapchete_xarray?branch=master\n\n.. image:: https://img.shields.io/pypi/pyversions/mapchete_xarray.svg\n    :target: https://pypi.python.org/pypi/mapchete_xarray\n\n\n\n-----\nUsage\n-----\n\nExample ``.mapchete`` file:\n\n.. code-block:: yaml\n\n    process: process.py\n    zoom_levels:\n        min: 0\n        max: 12\n    input:\n    output:\n        format: xarray\n        path: /some/output/path\n        dtype: uint16\n        bands: 3\n    pyramid:\n        grid: geodetic\n        metatiling: 2\n\n\n\nExample process file:\n\n.. code-block:: python\n\n    from dateutil import parser\n    import numpy as np\n    import xarray as xr\n\n\n    def execute(mp, stack_height=10):\n        # create 4D arrays with current tile shape and dtype\n        arrs = [\n            np.ones((3, ) + mp.tile.shape, dtype=\"uint16\")\n            for _ in range(1, stack_height)\n        ]\n\n        # create timestamps for each array\n        timestamps = [parser.parse(\"2018-04-0%s\" % i) for i in range(1, stack_height)]\n\n        # build xarray with time axis\n        timeseries = xr.DataArray(\n            np.stack(arrs), coords={'time': timestamps}, dims=('time', 'bands', 'x', 'y')\n        )\n\n        # return to write\n        return timeseries\n\n\n------------\nInstallation\n------------\n\n.. code-block:: shell\n\n    # install using pip:\n    pip install mapchete_xarray\n    # verify driver is vailable ('xarray' should be listed as output format):\n    mapchete formats\n\n\n-------------------\nCurrent Limitations\n-------------------\n\n- no reprojection allowed\n- when reading from existing output, process metatiling must be smaller than xarray output metatiling\n- only writing to NetCDF files currently implemented\n\n\n-------\nLicense\n-------\n\nMIT License\n\nCopyright (c) 2019 `EOX IT Services`_\n\n.. _`EOX IT Services`: https://eox.at/\n\n\n",
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        "license": "MIT",
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        "name": "mapchete-xarray",
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