[파이썬 함수] cmap customizing

import numpy as np; np.random.seed(0)
import seaborn as sns; sns.set()
 
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap, LinearSegmentedColormap
 
 
def create_color(r, g, b):
	return [r/256, g/256, b/256]
 
def get_custom_color_palette():
    return LinearSegmentedColormap.from_list("", [
        create_color(227, 101, 33), create_color(246, 145, 53), create_color(251, 168, 74),
        create_color(218, 212, 200),
        create_color(141, 193, 223), create_color(114, 167, 208), create_color(43, 92, 138)
    ])
 
#low, high = -5, 15
#data = np.random.uniform(low, high, (10, 15))
 
cmap = get_custom_color_palette()
#sns.heatmap(data, cmap=cmap, center=0);

출처 : richardhildebrand.wordpress.com/2019/09/18/create-a-custom-color-palette-with-matplotlib-and-seaborn/