Wes Anderson color pallete, matplotlib

wacolors.py

# colors from here (MIT):
# https://github.com/karthik/wesanderson/blob/master/R/colors.R
# example from here:
# https://matplotlib.org/3.5.0/gallery/color/custom_cmap.html

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.colors import LinearSegmentedColormap

x = np.arange(0, np.pi, 0.1)
y = np.arange(0, 2 * np.pi, 0.1)
X, Y = np.meshgrid(x, y)
Z = np.cos(X) * np.sin(Y) * 10

wacolors = {\
'bottlerocket1'  : ("#A42820", "#5F5647", "#9B110E", "#3F5151", "#4E2A1E", "#550307", "#0C1707"),
'bottlerocket2'  : ("#FAD510", "#CB2314", "#273046", "#354823", "#1E1E1E"),
'rushmore1'      : ("#E1BD6D", "#EABE94", "#0B775E", "#35274A" ,"#F2300F"),
'rushmore'       : ("#E1BD6D", "#EABE94", "#0B775E", "#35274A" ,"#F2300F"),
'royal1'         : ("#899DA4", "#C93312", "#FAEFD1", "#DC863B"),
'royal2'         : ("#9A8822", "#F5CDB4", "#F8AFA8", "#FDDDA0", "#74A089"),
'zissou1'        : ("#3B9AB2", "#78B7C5", "#EBCC2A", "#E1AF00", "#F21A00"),
'darjeeling1'    : ("#FF0000", "#00A08A", "#F2AD00", "#F98400", "#5BBCD6"),
'darjeeling2'    : ("#ECCBAE", "#046C9A", "#D69C4E", "#ABDDDE", "#000000"),
'chevalier1'     : ("#446455", "#FDD262", "#D3DDDC", "#C7B19C"),
'fantasticfox1'  : ("#DD8D29", "#E2D200", "#46ACC8", "#E58601", "#B40F20"),
'moonrise1'      : ("#F3DF6C", "#CEAB07", "#D5D5D3", "#24281A"),
'moonrise2'      : ("#798E87", "#C27D38", "#CCC591", "#29211F"),
'moonrise3'      : ("#85D4E3", "#F4B5BD", "#9C964A", "#CDC08C", "#FAD77B"),
'cavalcanti1'    : ("#D8B70A", "#02401B", "#A2A475", "#81A88D", "#972D15"),
'grandbudapest1' : ("#F1BB7B", "#FD6467", "#5B1A18", "#D67236"),
'grandbudapest2' : ("#E6A0C4", "#C6CDF7", "#D8A499", "#7294D4"),
'isleofdogs1'    : ("#9986A5", "#79402E", "#CCBA72", "#0F0D0E", "#D9D0D3", "#8D8680"),
'isleofdogs2'    : ("#EAD3BF", "#AA9486", "#B6854D", "#39312F", "#1C1718"),
'frenchdispatch' : ("#90D4CC", "#BD3027", "#B0AFA2", "#7FC0C6", "#9D9C85")
}

for key in wacolors.keys():
    cmap_name = key
    colors = wacolors[cmap_name]
    n_bins = [len(colors), 100]  # Discretizes the interpolation into bins

    fig, axs = plt.subplots(1, 2, figsize=(6, 9))
    for n_bin, ax in zip(n_bins, axs.flat):
        cmap = LinearSegmentedColormap.from_list(cmap_name, colors, N=n_bin)
        im = ax.imshow(Z, origin='lower', cmap=cmap)
        ax.axis('off')
        ax.set_title("N bins: %s" % n_bin)
        fig.colorbar(im, ax=ax, shrink=0.5)
    t = ax.text(0.5, 0.5, key, ha='center', transform=ax.transAxes, )
    t.set_bbox(dict(facecolor='white'))