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        "author": "Ari Hartikainen",
        "author_email": "",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Physics"
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        "description": "# Siina\n\n## Description\n\nPython library for Ground Penetrating Radar (GPR) data processing: IO, filters and visualization.\n\nTested with Python 3.6.\n\n\n## Installation\n\n`siina` can be installed with `pip`\n\n```\npip install siina\n```\n\n#### Latest Github version\n\nEither clone the repo and install with `setup.py`\n\n```\ngit clone https://github.com/ahartikainen/siina  \ncd siina\npython setup.py install\n```\n\nor with a `pip`\n\n`python -m pip install git+https://github.com/ahartikainen/siina`\n\n\n## Underlying datastructures\n\nHeader information is saved as a dictionary: `obj.header`\nMeasurement data is saved as a list of ndarrays: `obj.data_list`\nMain channel can be accessed with `.data` -method\n\n## Example usage\n\n```\nimport siina\n\n# create RadarFile object\nmeas = siina.Radar()\n\n# read in the data\nmeas.read_file(\"./example_path/example_file.DZT\")\n\n# set the center frequency for GPR (in Hertz) if not done\nif meas.header.get('frequency', None) is None:\n    meas.header['frequency'] = 1e9 # 1 GHz\n\n# print dimensions for the data\nprint(\"points in samples={}, samples={}, channels={}\".format(meas.nrows, meas.ncols, meas.nchan)\n\n# strip markers (important step with .DZT files)\nmeas.read_markers()\n\n# center each sample (for each trace do func(trace[500:])\nmeas.func_dc(start=500)\n\n# apply lowpass filter with cutoff= 6 * frequency\n#     if cutoff is float -> cutoff = cutoff\n#     if cutoff is str -> cutoff = float(cutoff) * frequency\nmeas.func_filter(cutoff='6')\n\nimport matplotlib.pyplot as plt\n\n# plot mean function for the first channel\n# all channels are found under obj.data_list\nplt.plot(meas.data.mean(1))\nplt.show()\n\n# plot radargram with plt.imshow\n# be careful with the profile size (meas.ncols < 5000)\nplt.imshow(meas.data, aspect='auto')\nplt.show()\n```\n\n\n# Development\n\n```\npip install -r requirements-test.txt\n```\n\n```\nblack siina\npylint siina\npydocstyle --convention=numpy siina\n```\n\n\n",
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        "keywords": "ground penetrating radar gpr io",
        "license": "Apache-2.0",
        "maintainer": "",
        "maintainer_email": "",
        "name": "siina",
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        "summary": "Python library for Ground Penetrating Radar (GPR): IO, processing and visualization",
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