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A small package for fantastic color palette

Project description

## SecretColors

[![PyPI version](https://badge.fury.io/py/SecretColors.svg)](https://badge.fury.io/py/SecretColors) [![Documentation Status](https://readthedocs.org/projects/secretcolors/badge/?version=latest)](https://secretcolors.readthedocs.io/en/latest/?badge=latest)

Library generated for making plots with better color palette. It uses famous color palettes and adds few helpful functions.

Currently it supports following Color Palettes

  • IBM Color Palette

  • Google Material Design Color Palette

  • ColorBrewer2 Color Palette

  • VMWare Clarity Color Palette

You can get output of colors in variety of color formats including hex , rgb , hsl, rgba etc.

Few sample plots and inspiration behind this library can be found in [WeirdData blog](https://weirddata.github.io/2018/09/10/secret-colors.html).

### Installation

pip install SecretColors

### Documentation

Full documentation and API reference can be accessed via [ReadTheDocs](https://secretcolors.readthedocs.io)

SecretColors is a very flexible library. You can easily select different color palettes.

from SecretColors.palette import Palette

p = Palette() # Generates Default color palette i.e. IBM Color Palette ibm = Palette(“ibm”) # Generates IBM Palette ibm.red() # Returns ‘#fb4b53’ material = Palette(“material”) # Generates Material Palette material.red() # Returns ‘#f44336’

Select different types of color modes

p1 = Palette() # Default Color mode (hex) p1.green() # ‘#24a148’ p2 = Palette(color_mode=”hexa”) p2.green() # ‘#24a148ff’ p3 = Palette(color_mode=”ahex”) p3.green() # ‘#ff24a148’ p4 = Palette(color_mode=”rgb”) p4.green() # (0.141, 0.631, 0.282) p5 = Palette(color_mode=”rgba”) p5.green() # ‘(0.141, 0.282, 0.631, 1)’

Note: matplotlib can accepts hex, rgb or hexa

Get random colors

p = Palette() p.random() # ‘#90dbe9’ p.random(no_of_colors=3) # [‘#8fca39’, ‘#64a0fe’, ‘#7430b6’] p.random(no_of_colors=2, shade=20) # [‘#b3e6ff’, ‘#c2dbf4’]

Unlimited color manipulations

p = Palette() p.blue() # normal blue [#408bfc] p.blue(shade=20) # lighter shade of blue [#c9deff] p.blue(shade=70) # darker shade of blue [#054ada] p.blue(shade=16.10) # arbitrary shade of blue (between 0 to 100) [#dbe9ff] p.blue(no_of_colors=3) # Three blue shades [‘#b8d4ff’, ‘#408bfc’, ‘#0546d4’] p.blue(no_of_colors=3, starting_shade=30) # Three blue shades with lightest one is 30 [‘#64a0fe’, ‘#005ef9’, ‘#052ea8’] p.blue(no_of_colors=3, ending_shade=40) # Three blue shades with darkest one is 40 [‘#edf4ff’, ‘#c9deff’, ‘#97c1ff’] p.blue(no_of_colors=3, starting_shade=30, ending_shade=40) # Three blue shades with lightest 30 and darkest 60 [‘#8cbaff’, ‘#8cbaff’, ‘#8cbaff’] p.blue(no_of_colors=3, gradient=False) # Three blue shades in random order [‘#8cbaff’, ‘#b8d4ff’, ‘#64a0fe’] p.color_mode = “rgba” p.blue(alpha=0.3) # Blue with alpha (0.251, 0.988, 0.545, 0.3) Only works in color mode which outputs alpha values

Flexible functions

get_complementary(“#24a148”) # Get complementary color [#a0237c] hex_to_rgb(“#a0237c”) # (0.627, 0.137, 0.486) hex_to_hsl(“#a0237c”) # (0.881, 0.641, 0.382) hex_to_hex_a(“#a0237c”, alpha=0.7) # Get hex with transparency at end [#a0237cb2] hex_to_ahex(“#a0237c”, alpha=0.7) # Get hex with transparency at start [#b2a0237c] color_in_between(“#24a148”,”#a0237c”) # Color between two [‘#616161’] color_in_between(“#24a148”,”#a0237c”, steps=4) # 3 colors between two [‘#428154’, ‘#616161’, ‘#80426e’] such that color space is divided into 4 parts rgb_to_hex(0.181, 0.241, 0.382) # ‘#2e3d61’ rgb_to_hsl(0.181, 0.241, 0.382) # (0.617, 0.357, 0.281) hsl_to_hex(0.181, 0.241, 0.382) # ‘#747849’

Custom and flexible colormaps which can be directly used in matplotlib workflow

import matplotlib import matplotlib.pylab as plt import numpy as np from SecretColors.palette import Palette, ColorMap p = Palette() c = ColorMap(matplotlib, p) data = np.random.rand(100, 100) plt.pcolor(data, cmap=c.warm()) plt.show()

Create your own colormaps or make it qualitative colormap

color_list = [p.red(), p.blue()] plt.pcolor(data, cmap=c.from_list(color_list, is_qualitative=True)) plt.show()

Reverse the direction

plt.pcolor(data, cmap=c.greens(is_reversed=True))

### TODO

  • [ ] Out of the box LinearSegmentedColormap object

  • [ ] Out of the box ListedColormap object

  • [ ] More balanced ColorMap presets

  • [ ] Color blind safe palette

  • [ ] Print and Web safe color indicator

  • [ ] Generate Color Palette from image

### Contribution and Feedback

Feel free to provide feedback and criticism through GitHub or you can email me [rohitsuratekar@gmail.com ](mailto:rohitsuratekar@gmail.com). If you want to contribute, please send pull request to this repository.

### Acknowledgments

Colors used in this library are partly taken from [IBM Design Language](https://www.ibm.com/design/language/resources/color-library/) , [Google Material Design](https://material.io/design/color/the-color-system.html) , [ColorBrewer](http://colorbrewer2.org/) and [VMWare Clarity ](https://vmware.github.io/clarity/documentation/v0.13/color).

### License

This library and its code is released under MIT License . Read full statement [here](https://github.com/secretBiology/SecretColors/blob/master/LICENSE).

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