python - matplotlib colourbar custom colour 1 value -


i want normal colorbar differences in color specific value.

my data covers range (0,1) want pass values outside range (because errors), , want see them color outside main range.

so want assign color black -1 values , normal colorbar in range of (0,1). possible?

yes don't need rebuild colormap specific case (which takes effort). can keep values aside using vmin , vmax limits data , specify color values below or on limits (using set_under , set_over).

check following example:

import matplotlib.pyplot plt import numpy np  x, y = np.meshgrid(np.linspace(0, 10, 100), np.linspace(0, 10, 100)) im = (x**2 + y**2)/100-0.5 # creating synthetic data example  p = plt.imshow(im.t, vmin=0, vmax=1, origin='lower', interpolation='nearest') # set limits vmin , vmax p.cmap.set_under('k')  # set color under lower limit (k black) p.cmap.set_over('w')  # set color on upper limit (w white) plt.show() 

, results in this:

stating color limits of data in matplotlib

everything below 0 black, on 1 white.


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