%global _empty_manifest_terminate_build 0 Name: python-pitchplots Version: 1.4.2 Release: 1 Summary: A package containing representation tools for musical purposes License: MIT License URL: https://github.com/DCMLab/pitchplots Source0: https://mirrors.aliyun.com/pypi/web/packages/1e/a4/6e04a2ec0d04473702e3f37c3d850b0056d0ed70ca0f5b9a61d3b368712a/pitchplots-1.4.2.tar.gz BuildArch: noarch Requires: python3-matplotlib Requires: python3-pandas Requires: python3-numpy %description # pitchplots library plotting charts for different tonal representations ## Getting Started The program consist in the following files: functions.py, reader.py, modified_musicxml_parser.py, parser.py and static.py ### Prerequisites What things you need to install the software and how to install them ``` You will need python on your computer and the following libaries: matplotlib, pandas and numpy ``` note that if you are using anaconda, these libraries are already installed ### Installing You can download the pitchplots package on pypi with pip using the following command in the prompt: ``` python3 -m pip install pitchplots ``` or if you're using anaconda prompt ``` pip install pitchplots ``` ## Running the tests you can first try to parse xml/musicScore xml files to csv or DataFrame, that is the Gymnopédie from Sati with: ```python import pitchplots.parser as ppp # If no filepath is specified, will automatically charge data_example.mxl df_data_example = ppp.xml_to_csv(save_csv=True) ``` then you can try the static module by passing csv files or Dataframe: ``` import pitchplots.static as pps pps.tonnetz(df_data_example) ``` or ``` import pitchplots.static as pps pps.circle('csv/data_example.csv') ``` to try the dynamic videos: ``` import pitchplots.dynamic as ppd ppd.tonnetz_animation(df_data_example) ``` ## Authors * **Timothy Loayza**, **Fabian Moss** ## Use of magenta's code The [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). ## License This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details %package -n python3-pitchplots Summary: A package containing representation tools for musical purposes Provides: python-pitchplots BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-pitchplots # pitchplots library plotting charts for different tonal representations ## Getting Started The program consist in the following files: functions.py, reader.py, modified_musicxml_parser.py, parser.py and static.py ### Prerequisites What things you need to install the software and how to install them ``` You will need python on your computer and the following libaries: matplotlib, pandas and numpy ``` note that if you are using anaconda, these libraries are already installed ### Installing You can download the pitchplots package on pypi with pip using the following command in the prompt: ``` python3 -m pip install pitchplots ``` or if you're using anaconda prompt ``` pip install pitchplots ``` ## Running the tests you can first try to parse xml/musicScore xml files to csv or DataFrame, that is the Gymnopédie from Sati with: ```python import pitchplots.parser as ppp # If no filepath is specified, will automatically charge data_example.mxl df_data_example = ppp.xml_to_csv(save_csv=True) ``` then you can try the static module by passing csv files or Dataframe: ``` import pitchplots.static as pps pps.tonnetz(df_data_example) ``` or ``` import pitchplots.static as pps pps.circle('csv/data_example.csv') ``` to try the dynamic videos: ``` import pitchplots.dynamic as ppd ppd.tonnetz_animation(df_data_example) ``` ## Authors * **Timothy Loayza**, **Fabian Moss** ## Use of magenta's code The [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). ## License This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details %package help Summary: Development documents and examples for pitchplots Provides: python3-pitchplots-doc %description help # pitchplots library plotting charts for different tonal representations ## Getting Started The program consist in the following files: functions.py, reader.py, modified_musicxml_parser.py, parser.py and static.py ### Prerequisites What things you need to install the software and how to install them ``` You will need python on your computer and the following libaries: matplotlib, pandas and numpy ``` note that if you are using anaconda, these libraries are already installed ### Installing You can download the pitchplots package on pypi with pip using the following command in the prompt: ``` python3 -m pip install pitchplots ``` or if you're using anaconda prompt ``` pip install pitchplots ``` ## Running the tests you can first try to parse xml/musicScore xml files to csv or DataFrame, that is the Gymnopédie from Sati with: ```python import pitchplots.parser as ppp # If no filepath is specified, will automatically charge data_example.mxl df_data_example = ppp.xml_to_csv(save_csv=True) ``` then you can try the static module by passing csv files or Dataframe: ``` import pitchplots.static as pps pps.tonnetz(df_data_example) ``` or ``` import pitchplots.static as pps pps.circle('csv/data_example.csv') ``` to try the dynamic videos: ``` import pitchplots.dynamic as ppd ppd.tonnetz_animation(df_data_example) ``` ## Authors * **Timothy Loayza**, **Fabian Moss** ## Use of magenta's code The [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). ## License This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details %prep %autosetup -n pitchplots-1.4.2 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-pitchplots -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Jun 20 2023 Python_Bot - 1.4.2-1 - Package Spec generated