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()`

[FengRui1998]

in function pp_matrix, when using the argument cbar with value True, it would be better if the color range of the bar was only based on the values of the confusion matrix (i.e. excluding the sum row and column)