sc_colors

Handle colors and colormaps.

Highlights:

• Adds colormaps including 'turbo', 'parula', and 'orangeblue'

• sc.hex2rgb()/sc.rgb2hex(): convert between different color conventions

• sc.vectocolor(): map a list of sequential values onto a list of colors

• sc.gridcolors(): map a list of qualitative categories onto a list of colors

Functions

sanitizecolor	Alias to matplotlib.colors.to_rgb(), but also handles numeric inputs.
shifthue	Shift the hue of the colors being fed in.
rgb2hex	A little helper function to convert e.g. [0.53, 0.74, 0.15] to a pleasing shade of green.
hex2rgb	A little helper function to convert e.g. '87bc26' to a pleasing shade of green.
rgb2hsv	Shortcut to Matplotlib's rgb_to_hsv method, accepts a color triplet or a list/array of color triplets.
hsv2rgb	Shortcut to Matplotlib's hsv_to_rgb method, accepts a color triplet or a list/array of color triplets.
vectocolor	This function converts a vector (i.e., 1D array) of N values into an Nx3 matrix of color values according to the current colormap.
arraycolors	Map an N-dimensional array of values onto the current colormap.
gridcolors	Create a qualitative "color map" by assigning points according to the maximum pairwise distance in the color cube.
midpointnorm	Alias to Matplotlib's TwoSlopeNorm.
manualcolorbar	Add a colorbar to a plot that does not support one by default.
colormapdemo	Demonstrate a color map using simulated elevation data, shown in both 2D and 3D.
alpinecolormap	This function generates a map based on ascending height.
bicolormap	This function generators a two-color map, blue for negative, red for positive changes, with grey in the middle.
parulacolormap	Create a map similar to Viridis, but brighter.
turbocolormap	NOTE: as of Matplotlib 3.4.0, this colormap is included by default, and will soon be removed from Sciris.
bandedcolormap	Map colors onto bands of hue and saturation, with lightness mapped linearly.
orangebluecolormap	Create an orange-blue colormap; most like RdYlBu but more pleasing.