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SecretColors
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Python package for fantastic colors :)
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SecretColors
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## SecretColors [](https://badge.fury.io/py/SecretColors) [](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 (`ibm`) - Google Material Design Color Palette (`material`) - Google Material Design Accent Color Palette (`material-accent`) - ColorBrewer2 Color Palette (`brewer`) - VMWare Clarity Color Palette (`clarity`) - Tableau Color Palette (`tableau`) You can get output of colors in variety of color formats including `hex` , `rgb`, `rgba` etc. See [changelog](/CHANGELOG.md) to know what's new! Few sample plots and inspiration behind this library can be found in [WeirdData blog](https://weirddata.github.io/2019/06/11/secret-colors-2.html). |<img src="https://user-images.githubusercontent.com/8757115/69130240-72840d00-0ab0-11ea-8ce5-8b715ebef4f6.png" width="60%">| |:--:| | Default base colors in matplotlib and SecretColors palettes. | |<img src="https://user-images.githubusercontent.com/8757115/69130544-fa6a1700-0ab0-11ea-80f4-aaff9e58f804.png" width="60%">| |:--:| | Simple bar plot with default colors. | |<img src="https://user-images.githubusercontent.com/8757115/69130672-31402d00-0ab1-11ea-835d-b161caf4c24a.png" width="60%">| |:--:| | Histogram comparison with Magenta and Cyan. You can dramatically change colors by just passing single parameter. | ### 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 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.cmaps import ColorMap from SecretColors import Palette p = Palette() c = ColorMap(matplotlib, p) data = np.random.rand(100, 100) plt.pcolor(data, cmap=c.greens()) 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 - [ ] CIE XYZ to CIE Lab conversions - [ ] Color Palettes - Latitude, Polaris, Adobe Spectrum - [ ] Direct support for more RGB to XYZ conversions - [ ] Generate Color Palette from image - [x] Color blind safe palette - [ ] ~~Out of the box `LinearSegmentedColormap` object~~ We can not implement 'out of the box' colormaps for matplotlib because `matplotlib` checks its `type` before its use. Hence we can not make new class which can be directly act as a substitute. Note: All CIE-XYZ conversion and colorblind simulation functions are still in beta-testing. Do not use them in your production code ### 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/), [VMWare Clarity ](https://vmware.github.io/clarity/documentation/v0.13/color) and [Tableau](https://help.tableau.com/current/pro/desktop/en-us/formatting_create_custom_colors.htm#Version_9.x_(legacy)_color_palette_hex_values) . Color name data is taken from [X11](https://gitlab.freedesktop.org/xorg/app/rgb/raw/master/rgb.txt) and [W3]( https://www.w3.org/TR/css-color-3/#svg-color). RGB colorspace matrices were taken from [Here](http://www.brucelindbloom.com/index.html?Eqn_RGB_XYZ_Matrix.html) . Any other specific code or resource used in this library is attributed in respective function or method where it is used. It can be accessible from our online documentation as well. ### License This library and its code is released under MIT License . Read full statement [here](https://github.com/secretBiology/SecretColors/blob/master/LICENSE).
