[FIXED] Getting "n" equally spaced RGB colors for "n" numbers, from a colormap

Issue

I have list of numbers, and want to assign a color for each of them from the ylorbr colormap in python. If my intuition of a colormap is correct, its just a range of colors - so, ylorbr goes from yellow to orange to brown.

I just want to get n equally spaced tuples of colors from this colormap, starting from 0 (in this case, that is yellow).

This is the simple code I tried:

from matplotlib import cm
import numpy as np
ylorbr = cm.get_cmap('YlOrBr', 8)
x = ylorbr(np.arange(0,1,0.1))

print(x)

When I try this, x is not a set of evenly spaced colors - in fact, colors are repeated. I also could not find other solutions for this - or there may be, but I am new to plotting.

I am new to plotting, but not new to python. Is there a reason, why getting a simple list of evenly spaced RGB from a given colormap is hard? I used "python sense" to do the above test, and actually expected an evenly spaced list of RGB tuples.

Can someone tell me how then a colormap works in python, and how to simply assign n sorted integers to n colors from a colormap in the shortest way possible?

Edit : I assumed here, that colormap is a discrete list of colors. I just want the first item , last item and every item at 1/n of that list of colors.

Edit2 : Based on Mark's comment below, I tried to access the list of colors of a map using the .colors attribute after get_cmap. But while it works when the colormap is viridis, it does not work when I set it to YlOrBr and I get the error : 'LinearSegmentedColormap' object has no attribute 'colors'

Solution

You asked it to make a colormap with 8 entries. It shouldn't be surprising that you get repeats when you ask for 10 results.

I can hear you screaming "arrgggh" from here.

Answered By - Tim Roberts