笔记
单击此处 下载完整的示例代码
颜色条刻度标签#
为颜色条生成自定义标签。
由斯科特辛克莱提供
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import cm
from numpy.random import randn
# Fixing random state for reproducibility
np.random.seed(19680801)
使用垂直(默认)颜色条制作绘图
fig, ax = plt.subplots()
data = np.clip(randn(250, 250), -1, 1)
cax = ax.imshow(data, cmap=cm.coolwarm)
ax.set_title('Gaussian noise with vertical colorbar')
# Add colorbar, make sure to specify tick locations to match desired ticklabels
cbar = fig.colorbar(cax, ticks=[-1, 0, 1])
cbar.ax.set_yticklabels(['< -1', '0', '> 1']) # vertically oriented colorbar
[Text(1, -1, '< -1'), Text(1, 0, '0'), Text(1, 1, '> 1')]
使用水平颜色条制作绘图
fig, ax = plt.subplots()
data = np.clip(randn(250, 250), -1, 1)
cax = ax.imshow(data, cmap=cm.afmhot)
ax.set_title('Gaussian noise with horizontal colorbar')
cbar = fig.colorbar(cax, ticks=[-1, 0, 1], orientation='horizontal')
cbar.ax.set_xticklabels(['Low', 'Medium', 'High']) # horizontal colorbar
plt.show()
脚本总运行时间:(0分1.182秒)