A library for presentation and publication ready plots of data maps
Project description
DataMapPlot
Creating beautiful plots of data maps. DataMapPlot is a small library designed to help you make beautiful data map plots for inclusion in presentations, posters and papers. The focus is on producing static plots that are great looking with as little work for you as possible. All you need to do is label clusters of points in the data map and DataMapPlot will take care of the rest. While this involves automating most of the aesthetic choices, the library provides a wide variety of ways to customize the resulting plot to your needs.
Examples
Some examples of the kind of output that DataMapPlot can provide.
A basic plot, with some highlighted labels:
Using darkmode and some custom font choices:
Alternative custom styling:
Custom arrow styles, fonts, and colour maps:
Installation
DataMapPlot requires a few libraries, but all are widely available and easy to install:
Numpy
Matplotlib
Scikit-learn
Pandas
Datashader
Scikit-image
Numba
To install DataMapPlot you can use pip:
pip install datamapplot
or use conda with conda-forge
conda install -c conda-forge datamapplot
License
DataMapPlot is MIT licensed. See the LICENSE file for details.
Contributing
Contributions are more than welcome! If you have ideas for features of projects please get in touch. Everything from code to notebooks to examples and documentation are all equally valuable so please don’t feel you can’t contribute. To contribute please fork the project make your changes and submit a pull request. We will do our best to work through any issues with you and get your code merged in.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for datamapplot-0.1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f5d0d5a3498c94f1744129a8084fb0d4914b8b5ce5dd893158a82b28f3f487da |
|
MD5 | 4d7867a1ec6cee0af5a33bffd0e3db4e |
|
BLAKE2b-256 | eb66f0d05d46bcbac6eb13c05ba6a843de5f0f84c89c7a2fd15ccffbe279c39a |