colorlover

Color scales for humans

IPython notebook: https://plot.ly/ipython-notebooks/color-scales/

import colorlover as cl
from IPython.display import HTML
HTML(cl.to_html( cl.flipper()['seq']['3'] ))

Install

sudo pip install colorlover

IPython notebook (demo)

https://plot.ly/ipython-notebooks/color-scales/

Docs

cl.scales

All of the color scales in colorlover

>>> import colorlover as cl
>>> cl.scales['3']['div']['RdYlBu']

['rgb(252,141,89)', 'rgb(255,255,191)', 'rgb(145,191,219)']

cl.to_numeric( scale )

Converts scale of RGB or HSL strings to list of tuples with RGB integer values

>>> cl.to_numeric( cl.scales['3']['div']['RdYlBu'] )

[(252.0, 141.0, 89.0), (255.0, 255.0, 191.0), (145.0, 191.0, 219.0)]

cl.to_hsl( scale )

Converts a string RGB or numeric RGB colorscale to HSL

>>> cl.to_hsl( cl.scales['3']['div']['RdYlBu'] )

['hsl(19.0, 96.0%, 67.0%)', 'hsl(60.0, 100.0%, 87.0%)', 'hsl(203.0, 51.0%, 71.0%)']

cl.to_rgb( scale )

Convert an HSL or numeric RGB color scale to string RGB color scale

>>> cl.to_rgb( cl.scales['3']['div']['RdYlBu'] )

['rgb(252,141,89)', 'rgb(255,255,191)', 'rgb(145,191,219)']

cl.to_html( scale )

Traverse color scale dictionary and return available color scales as HTML string

>>> cl.to_html( cl.scales['3']['div']['RdYlBu'] )

'<div style="background-color:rgb(252,141,89);height:20px;width:20px;display:inline-block;"></div><div style="background-color:rgb(255,255,191);height:20px;width:20px;display:inline-block;"></div><div style="background-color:rgb(145,191,219);height:20px;width:20px;display:inline-block;"></div>'

cl.flipper( scale=None )

Return the inverse of the color scale dictionary cl.scale

>>> cl.flipper()['div']['3']['RdYlBu']

['rgb(252,141,89)', 'rgb(255,255,191)', 'rgb(145,191,219)']

cl.interp( scale, r )

def interp(scl, r):

Interpolate a color scale "scale" to a new one with length "r"

# fun usage in IPython notebook
from IPython.display import HTML
HTML( to_html( to_hsl( interp( cl.scales['11']['qual']['Paired'], 5000 ) ) ) )

All colors in cl.scales

# (in IPython notebook)
from IPython.display import HTML
HTML(cl.to_html( cl.scales ))

plotly/colorlover