Metadata-Version: 2.1
Name: distinctipy
Version: 1.1.0
Summary: A lightweight package for generating visually distinct colours.
Home-page: https://github.com/alan-turing-institute/distinctipy
Author: Jack Roberts
Author-email: jroberts@turing.ac.uk
License: UNKNOWN
Description: ![distinctipy logo](https://raw.githubusercontent.com/alan-turing-institute/distinctipy/master/distinctipy_logo.png)
        
        *distinctipy* is a lightweight python package providing functions to generate
        colours that are visually distinct from one another.
        
        Commonly available qualitative colormaps provided by the likes of matplotlib
        generally have no more than 20 colours, but for some applications it is useful
        to have many more colours that are clearly different from one another.
        *distinctipy* can generate lists of colours of any length, with each new colour
        added to the list being as visually distinct from the pre-existing colours in
         the list as possible.
        
        ## Installation
        
        *distinctipy* is designed for Python 3 and can be installed with pip by running:
        
        ```python
        pip3 install distinctipy
        ```
        
        Alternatively clone the repo and then in its parent directory run:
        ```bash
        pip3 install -r requirements.txt
        pip3 install .
        ```
        
        ## Usage and Examples
        
        *distinctipy* can:
        * Generate N visually distinct colours: `distinctipy.get_colors(N)`
        * Generate colours that are distinct from an existing list of colours: `distinctipy.get_colors(N, existing_colors)`
        * Generate pastel colours: `distinctipy.get_colors(N, pastel_factor=0.7)`
        * Select black or white as the best font colour for any background colour: `distinctipy.get_text_color(background_color)`
        * Convert lists of colours into matplotlib colormaps: `distinctipy.get_colormap(colors)`
        * Invert colours: `distinctipy.invert_colors(colors)`
        * Nicely display generated colours: `distinctipy.color_swatch(colors)`
        * Compare distinctipy colours to other common colormaps: `examples.compare_clusters()` and `examples.compare_colors()`
        * Simulate how colours look for someone with colourblindness: `colorblind.simulate_colors(colors, colorblind_type='Deuteranomaly')`
        * Attempt to generate colours as distinct as possible for someone with colourblindness `distinctipy.get_colors(N, existing_colors)`
        
        For example, to create and then display N = 36 visually distinct colours:
        
        ```python
        from distinctipy import distinctipy
        
        # number of colours to generate
        N = 36
        
        # generate N visually distinct colours
        colors = distinctipy.get_colors(N)
        
        # display the colours
        distinctipy.color_swatch(colors)
        ```
        
        More detailed usage and example output can be found in the notebook **[examples.ipynb](https://github.com/alan-turing-institute/distinctipy/blob/master/examples.ipynb)** and **[examples gallery](https://github.com/alan-turing-institute/distinctipy/tree/master/examples)**.
        
        ## References
        
        *distinctipy* was heavily influenced and inspired by several web sources and
        stack overflow answers. In particular:
        * **Random generation of distinct colours:** [Andrew Dewes on GitHub](https://gist.github.com/adewes/5884820)
        * **Colour distance metric:** [Thiadmer Riemersma at CompuPhase](https://www.compuphase.com/cmetric.htm)
        * **Best text colour for background:** [Mark Ransom on Stack Overflow](https://stackoverflow.com/a/3943023)
        * **Colourblindness Filters:** [Matthew Wickline and the Human-Computer Interaction Resource Network](http://web.archive.org/web/20090318054431/http://www.nofunc.com/Color_Blindness_Library) (web archive)
        
        Thanks!
        
Keywords: color colour palette colormap colorblind colourblind
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Multimedia :: Graphics
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Utilities
Description-Content-Type: text/markdown
