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        "author": "Fabian Moss",
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        "description": "# pitchplots\n\nlibrary plotting charts for different tonal representations\n\n## Getting Started\n\nThe program consist in the following files: functions.py, reader.py, modified_musicxml_parser.py, parser.py and static.py \n\n### Prerequisites\n\nWhat things you need to install the software and how to install them\n\n```\nYou will need python on your computer and the following libaries: matplotlib, pandas and numpy\n```\n\nnote that if you are using anaconda, these libraries are already installed\n\n### Installing\n\nYou can download the pitchplots package on pypi with pip using the following command in the prompt:\n\n```\npython3 -m pip install pitchplots\n```\n\nor if you're using anaconda prompt\n\n```\npip install pitchplots\n```\n\n## Running the tests\n\nyou can first try to parse xml/musicScore xml files to csv or DataFrame, that is the Gymnop\u00c3\u00a9die from Sati with:\n\n```python\nimport pitchplots.parser as ppp\n\n# If no filepath is specified, will automatically charge data_example.mxl\ndf_data_example = ppp.xml_to_csv(save_csv=True)\n```\n\nthen you can try the static module by passing csv files or Dataframe:\n\n```\nimport pitchplots.static as pps\n\npps.tonnetz(df_data_example)\n```\nor\n```\nimport pitchplots.static as pps\n\npps.circle('csv/data_example.csv')\n```\n\nto try the dynamic videos:\n```\nimport pitchplots.dynamic as ppd\n\nppd.tonnetz_animation(df_data_example)\n```\n\n## Authors\n\n* **Timothy Loayza**, **Fabian Moss**\n\n## Use of magenta's code\n\nThe [modified_musicxml_parser.py](modified_musicxml_parser.py) file is taken from the [magenta](https://github.com/tensorflow/magenta) project and has been modified. Therefore the modifications are listed in the [magenta_musicxml_code_modifications.md](magenta_musicxml_code_modifications.md) file and there is the [magenta_LICENSE.md](magenta_LICENSE.md).\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details\n\n\n",
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        "name": "pitchplots",
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