Paxplot is a Python visualization library for parallel coordinate plots based on matplotlib.
Check out our homepage for more information.
The latest stable release (and required dependencies) can be installed from PyPI:
pip install paxplot
For addition installation instructions, see the Getting Started documentation.
Please report all bugs using issues.
Paxplot welcomes contributions! Users familiar with matplotlib should have no problem using/contributing to this project.
- We recommend conda to manage environments and ensure consistent results. Download miniconda and ensure you can activate it from your terminal by running
$ conda activate- Depending on system configuration, this can be an involved process. Here is a recommended thread.
- Clone the repository using
$ git clone https://github.com/kravitsjacob/paxplot.git - Change to the current working directory using
$ cd paxplot - Install the development environment
$ conda env create -f environment.yml - Activate the environmnet
$ conda activate paxplot - Install an editable version of paxplot
$ pip install --editable . - Paxplot uses test-driven development. All changes to Paxplot must pass the tests in the
testingfolder. All new features should have associated tests.