A small script to get the colors in a specific cmap as lists and then you can use them in your code. Main code was here: https://matplotlib.org/stable/gallery/color/colormap_reference.html Colormaps "Dark2" and "Set2" looks very good.
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 13 16:08:06 2021
@author: Anirban Das
"""
import matplotlib.pyplot as plt
import numpy as np
cmaps = [('Qualitative', [
'Pastel1', 'Pastel2', 'Paired', 'Accent',
'Dark2', 'Set1', 'Set2', 'Set3',
'tab10', 'tab20', 'tab20b', 'tab20c'])]
gradient = np.linspace(0, 1, 256)
gradient = np.vstack((gradient, gradient))
def plot_color_gradients(cmap_category, cmap_list):
# Create figure and adjust figure height to number of colormaps
nrows = len(cmap_list)
figh = 0.35 + 0.15 + (nrows + (nrows-1)*0.1)*0.22
fig, axs = plt.subplots(nrows=nrows, figsize=(6.4, figh))
fig.subplots_adjust(top=1-.35/figh, bottom=.15/figh, left=0.2, right=0.99)
axs[0].set_title(cmap_category + ' colormaps', fontsize=14)
for ax, name in zip(axs, cmap_list):
ax.imshow(gradient, aspect='auto', cmap=plt.get_cmap(name))
print(f"Name {name}, {plt.get_cmap(name)}")
# use plt.get_cmap(name).colors to get the color values
ax.text(-.01, .5, name, va='center', ha='right', fontsize=10,
transform=ax.transAxes)
# Turn off *all* ticks & spines, not just the ones with colormaps.
for ax in axs:
ax.set_axis_off()
for cmap_category, cmap_list in cmaps:
plot_color_gradients(cmap_category, cmap_list)
plt.show()