audio-plot 0.0.1

Plot tools based on audio

Converts a line graph to sound and returns an object that can be played in Jupyter notebook or Google Colab. It was created to make data science fun for the visually impaired.

Install

$ pip install audio-plot

Usage

y = np.sin(np.arange(0, np.pi*2, 0.1))
yy = np.array([y, -y]).T
plot(yy)  # audio control will be appeared on notebook.

[The audio is as follows for this example]

tts > minimum value is -1.0
(Low sinusoidal sound)
tts > maximum value is 1.0
(High sinusoidal sound)
tts > line 1
(Sound in response to changes in the line 1 graph)
tts > line 2
(Sound in response to changes in the line 2 graph)

Update PyPI

$ nosetests -vs
$ pip install twine # if necessary
$ cat ~/.pypirc  # if necessary
[distutils]
index-servers = pypi

[pypi]
repository: https://pypi.python.org/pypi
username: YOUR_USERNAME
password: YOUR_PASSWORD
$ python setup.py sdist
$ twine upload --repository pypi dist/*
$ pip --no-cache-dir install --upgrade audio-plot

Contributing

• Fork the repository on Github
• Create a named feature branch (like add_component_x)
• Write your change
• Write tests for your change (if applicable)
• Run the tests, ensuring they all pass
• Submit a Pull Request using Github

License

MIT