Home

Awesome

seaborn-image: image data visualization

Tests Codecov PyPI Documentation Status Code style: black

<div class="row"> <a href="https://seaborn-image.readthedocs.io/en/latest/auto_examples/plot_image_hist.html"> <img src="./images/sphx_glr_plot_image_hist_001.png" height="120" width="170"> </a> <a href="https://seaborn-image.readthedocs.io/en/latest/auto_examples/plot_filter.html"> <img src="./images/sphx_glr_plot_filter_001.png" height="120" width="130"> </a> <a href="https://seaborn-image.readthedocs.io/en/latest/auto_examples/plot_fft.html"> <img src="./images/sphx_glr_plot_fft_001.png" height="120" width="120"> </a> <a href="https://seaborn-image.readthedocs.io/en/latest/auto_examples/plot_filtergrid.html"> <img src="./images/sphx_glr_plot_filtergrid_001.png" height="120" width="120"> </a> <a href="https://seaborn-image.readthedocs.io/en/latest/auto_examples/plot_image_robust.html"> <img src="./images/sphx_glr_plot_image_robust_001.png" height="120" width="260"> </a> </div>

Description

Seaborn-image is a Python image visualization library based on matplotlib and provides a high-level API to draw attractive and informative images quickly and effectively.

It is heavily inspired by seaborn, a high-level visualization library for drawing attractive statistical graphics in Python.

Documentation

Detailed documentation can be found here.

Installation

For latest release:

Using pip

pip install -U seaborn-image

Using conda

conda install seaborn-image -c conda-forge

For latest commit

pip install git+https://github.com/SarthakJariwala/seaborn-image

Contributing

Please see the contributing guidelines