path: root/python-pitchplots.spec

%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 <Python_Bot@openeuler.org> - 1.4.2-1
- Package Spec generated