From pypi.org (recommended)

Install by typing

pip install lic

or

pip install --user lic

if you do not have root access.

Please check the documentations for pipenv, and poetry for information on how to install packages with these tools.

From gitlab.com

To get the latest features or contribute to the development, you can clone the whole project using git:

git clone https://gitlab.com/szs/lic.git

Now you can, for instance, copy lic.py over to your project and import it directly or use it as a command line tool.

Importing the module

Once the package is installed where Python can find it, you can use the function lic directly.

import lic
import matplotlib.pyplot as plt

# ... get x and y arrays from somewhere ...

lic_result = lic.lic(x, y, length=30)

plt.imshow(lic_result, origin='lower', cmap='gray')
plt.show()

Find out more about the options by reading the source documentation:

pydoc lic.lic

You can also control the seed, i.e., the underlying texture for the lic:

pydoc lic.gen_seed

You can run the example from the root folder to see the result:

PYTHONPATH="." python3 examples/ex1.py

Command Line Tool

You will need npy data files (saved using numpy.save) to use lic from the command line:

lic data_x.npy data_y.npy -v -l 30 -c

See lic --help for a full list of options.