Extract matplotlib colormap in hex-format
For future reference: My CMasher package provides a function called take_cmap_colors()
(https://cmasher.readthedocs.io/user/usage.html#taking-colormap-colors), which allows one to take any number of discrete colors from a given colormap and return them in any format (8-bit, normalized or HEX) they want.
So, if you for example wanted to take 5 colors in HEX from the viridis
colormap, you could do this with:
import cmasher as cmr
colors = cmr.take_cmap_colors('viridis', 5, return_fmt='hex')
or if you want all colors in HEX from a colormap in a specific value range, you can do that with:
colors = cmr.take_cmap_colors('viridis', None, cmap_range=(0.2, 0.8), return_fmt='hex')
You can get a tuple of rgba values for the segment with index i
by calling cmap(i)
. There is also already a function that turns rgb values into hex. As Joe Kington wrote in the comments, you can use matplotlib.colors.rgb2hex
. Therefore, a possible solution would be:
from pylab import *
cmap = cm.get_cmap('seismic', 5) # PiYG
for i in range(cmap.N):
rgba = cmap(i)
# rgb2hex accepts rgb or rgba
print(matplotlib.colors.rgb2hex(rgba))
The output is:
#00004c
#0000ff
#ffffff
#ff0000
#7f0000