{ "info": { "author": "Jonas Gliss", "author_email": "jonasgliss@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3" ], "description": "pydoas is a Python library for reading, postprocessing and plotting of DOAS (Differential Optical Absorption Spectroscopy) fit results. \nIt supports default import of the result file format of\n`DOASIS `_. Further import formats for fast data access can easily be defined by the user.\n\nNews\n====\n\n18 Feb 2018: now also supports Python3\n\nCopyright\n=========\n\nCopyright (C) 2017 Jonas Gliss (jonasgliss@gmail.com)\n\nThis program is free software: you can redistribute it and/or modify it under the terms of the BSD 3-Clause License\n\nThis program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See BSD 3-Clause License for more details (https://opensource.org/licenses/BSD-3-Clause)\n\nRequirements\n============\n\n- numpy\n- matplotlib\n- pandas\n\nInstallation\n============\n\nFirst, make sure to have all requirements installed (prev. section). Then, pydoas can be installed from `PyPi `__ using::\n\n pip install pydoas\n\nor from source (hosted on GitHub) by `downloading and extracting the latest release `_ or downloading / cloning the repo. 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