Special cmap

[raresionut1]

I've seen this confusion matrix example using your code, but I can't manage to find the specific color map that was used here.

[Financialnomad]

Hello, I couldn´t find it either so chatgpt created a custom one for me:
`import matplotlib.pyplot as plt
import matplotlib.colors as colors

Define the RGB values of regular green and dark green

white = (0.56, 0.7372, 0.56) #Abbreviated RGB notation applis a division by 255
regn_green = (0.596, 0.984, 0.596) # regular green: (red, green, blue) = (0, 1, 0)
dark_green = (0, 0.2, 0) # dark green: (red, green, blue) = (0, 0.2, 0)

Use LinearSegmentedColormap to define the colorscale

cdict = {'red': ((0.0, white[0], white[0]), (0.25, regn_green[0], regn_green[0]), (1.0, dark_green[0], dark_green[0])),
'green': ((0.0, white[1], white[1]), (0.25, regn_green[1], regn_green[1]), (1.0, dark_green[1], dark_green[1])),
'blue': ((0.0, white[2], white[2]), (0.25, regn_green[2], regn_green[2]), (1.0, dark_green[2], dark_green[2]))}

mycmap = colors.LinearSegmentedColormap('myGreen', cdict)

Test the colorscale with a colorbar

plt.colorbar(plt.imshow([[0,.25,.50,.75, 1]], cmap=mycmap)) # adjust the data range if needed
plt.show()`