Metadata-Version: 2.1
Name: rll
Version: 0.1.2
Summary: Collection of different methods frequently used in the reiterlab across projects.
Home-page: https://github.com/reiterlab/rll
Author: Johannes Reiter
Author-email: johannes.reiter@stanford.edu
License: GNUv3
Description: ![build](https://github.com/reiterlab/reiterlablib/workflows/build/badge.svg)
        [![codecov](https://codecov.io/gh/reiterlab/reiterlablib/branch/main/graph/badge.svg?token=3OJS5MCMSC)](https://codecov.io/gh/reiterlab/reiterlablib)
        ![PyPI](https://github.com/reiterlab/reiterlablib/workflows/PyPI/badge.svg)
        
        # reiterlablib (rll)
        A collection of different modules providing methods for frequently used computations and visualizations used in the reiterlab. 
        See some of our developed software on our Github page [https://github.com/reiterlab]().
        
        
        ## <a name="installation"> Installation 
        To install the latest release of rll, run ```pip install rll```
        
        
        *If you want to customize some functions, it is best to:
        1. Clone the repository from Github with ```git clone https://github.com/reiterlab/reiterlablib.git```
        1. Create distribution package by going to the main folder with ```cd reiterlablib``` and run ```python setup.py clean sdist bdist_wheel``` 
        1. Install *rll* to your python environment by running ```pip install -e .```
        1. Test installation with ```python -c 'import rll'``` and ```pytest tests/```
        
        ### <a name="releases"> Releases
        * rll v0.1.0 2020-12-11: Initial release of package.
        * rll v0.1.2 2020-12-11: Added flexibility with legend display.
        
        ### License
        These methods are licensed under the GNU General Public License, Version 3. The methods are free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, version 3 of the License. There is no warranty for this free software.
        
        Translational Cancer Evolution Laboratory, Canary Center for Cancer Early Detection, Stanford University, https://reiterlab.stanford.edu
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
Provides-Extra: plotting
