可视化之色标设置

import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import numpy as np


np.random.seed(19680801)
Z = np.random.rand(6, 10)
x = np.arange(-0.5, 10, 1)  # len = 11
y = np.arange(4.5, 11, 1)  # len = 7
print(Z)

# 建立自定义色标
color_dict = [(1, 1, 1), (0, 1, 1), (0, 157 / 255, 1), (0, 1, 0), (9 / 255, 130 / 255, 175 / 255), (0, 1, 0),
              (8 / 255, 175 / 255, 20 / 255), (1, 214 / 255, 0), (1, 152 / 255, 0), (1, 0, 0), (221 / 255, 0, 27 / 255),
              (188 / 255, 0, 54 / 255), (121 / 255, 0, 109 / 255), (121 / 255, 51 / 255, 160 / 255),
              (195 / 255, 163 / 255, 212/255)]
# 转为为Python可用的色标
cmap = mcolors.ListedColormap(color_dict, 'indexed')
# fig.add_axes([图形左下角横坐标坐标，图形左下角纵坐标，图形沿着横轴的长度，图形沿着纵轴的长度])
# add_axes内部参数是图形尺寸的比例
fig = plt.figure(figsize=[8, 8])
ax1 = fig.add_axes([0.2, 0.20, 0.60, 0.66])
im = ax1.pcolormesh(x, y, Z, cmap&