grapa.colorscale.Colorscale

class grapa.colorscale.Colorscale(colors=None, space='rgb', invert=False)

Bases: object

This class handles the color scales. Input ‘colors’ can be:

• a matplotlib color str e.g. viridis

• a list of colors. The colorscale will interpolate between these colors. The colors are assumed to be uniformly spaced on te value axis. If the last element of the color list is a string, it is interpreted as the colorspace e.g. rgb, hls, hsv. The color gradient is calculated in this colorspace

__init__(colors=None, space='rgb', invert=False)

Colors a list of colors in the format [[1,0,0], [1,1,0.5], [0,1,0]]

Methods

__init__([colors, space, invert])	Colors a list of colors in the format [[1,0,0], [1,1,0.5], [0,1,0]]
cmap([nbins, avoid_white])	Returns a matplotlib LinearSegmentedColormap object
get_colorscale()	Get the colorscale
inverse_scale()	Inverse the Colorscale
values_to_color(values[, space_out, avoid_white])	Return the color corresponding to a value.

cmap(nbins=256, avoid_white=False)

Returns a matplotlib LinearSegmentedColormap object

get_colorscale()

Get the colorscale

inverse_scale()

Inverse the Colorscale

values_to_color(values, space_out='rgb', avoid_white=True)

Return the color corresponding to a value. values is a value np.array([value0, value1, value3, etc.]), with valuesN being between 0 and 1