Metadata-Version: 2.1
Name: seaborn-image
Version: 0.1.0
Summary: seaborn-image: image data visualization and processing like seaborrn using matplotlib, scipy and scikit-image
Home-page: https://github.com/SarthakJariwala/seaborn-image
License: MIT
Author: Sarthak Jariwala
Author-email: jariwala@uw.edu
Requires-Python: >=3.6,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: matplotlib (>=3.2.2,<4.0.0)
Requires-Dist: matplotlib-scalebar (>=0.6.2,<0.7.0)
Requires-Dist: palettable (>=3.3.0,<4.0.0)
Requires-Dist: scikit-image (>=0.17.2,<0.18.0)
Requires-Dist: scipy (>=1.5.1,<2.0.0)
Project-URL: Repository, https://github.com/SarthakJariwala/seaborn-image
Description-Content-Type: text/x-rst

=======================================
seaborn-image: image data visualization
=======================================


Seaborn like image data visualization using matplotlib, scikit-image and scipy.


Description
===========

Seaborn-image is a seaborn like python **image** visualization and processing library
based on matplotlib.

The aim of seaborn-image is to provide a high-level API to **plot attractive images quickly**
**and effectively**.


Installation
============

``pip install seaborn-image``

Simple usage

.. code-block:: python

    import seaborn_image as isns

    """Set context like seaborn"""
    isns.set_context("notbook")

    """Plot publishable quality image in one line"""
    isns.imgplot(data)

    """Add a scalebar"""
    isns.imgplot(data, scalebar=True, dx=1, units="um")

Apply image filters and plot

.. code-block:: python

    import seaborn_image as isns

    isns.filterplot(data, filter="gaussian")

Note
====

This project was started because I was looking for a seaborn like library for images but couldn't find any.
The project is still a work in progress but give it a go and let me know...

