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        "author": "Tomas Chor",
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        "description": ".. _Github page: https://github.com/tomchor/pymicra\n.. _documentation: http://pymicra.readthedocs.io\n\n\nPymicra - A Python tool for Micrometeorological Analyses\n========================================================\n\nPymicra is a Python package designed to make working with micrometeorological\ndatasets more efficient. It is aimed at improving productivity (by allowing us\nto focus more on micrometeorology) while still being flexible enough to let us\nprogram project-specific things.\n\nPlease check out the `Github page`_ and the documentation_.\n\nHere's a quick (incomplete!) list of what Pymicra does:\n\n-  Reading, separating and understanding micrometeorological data in\n   virtually any column-separated ASCII format (thanks to pandas).\n-  Quality control methods (max and min values check, spikes,\n   reverse-arrangement test and etc..\n-  Rotation of coordinates (2D).\n-  Detrending of data in the most common ways (block averages, moving\n   averages and polynomial detrending).\n-  Correction of sensor drift.\n-  Automatic calculation of most auxiliary variables based on\n   measurements (air density, dry air density, etc.).\n-  Calculation of spectra and cross-spectra.\n-  Calculation fluxes and characteristic scales with or without WPL correction.\n-  Provide common constants generally used in atmospheric sciences.\n-  Plus all native features of Pandas (interpolation, resampling,\n   grouping, statistical tests, slicing, handling of missing data and\n   etc.).\n\nThe package is extensively (almost entirely) based on Pandas, mostly the\n``pandas.DataFrame`` class. We use (generally) Numpy or Scipy for some\nnumerical functions not contained in Pandas, Matplotlib for plotting and Pint\nfor units control.\n\nThis code is distributed under the GNU General Public License v3.0.\n\n\n",
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        "keywords": "meteorology,micrometeorology,atmosphere,science",
        "license": "GNU GPL V3.0",
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        "name": "pymicra",
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        "summary": "A Python tool for Micrometeorological Analyses",
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