Python matplotlib画图实例之绘制拥有彩条的图表

这篇文章主要介绍了Python matplotlib画图实例之绘制拥有彩条的图表，具有一定借鉴价值,需要的朋友可以参考下

生产定制一个彩条标签。

首先导入：

 import matplotlib.pyplot as plt import numpy as np from matplotlib import cm from numpy.random import randn

制作拥有垂直（默认）彩条的图表：

 fig, ax = plt.subplots() data = np.clip(randn(250, 250), -1, 1) cax = ax.imshow(data, interpolation='nearest', 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

效果图：

制作拥有水平彩条的图表：

 fig, ax = plt.subplots() data = np.clip(randn(250, 250), -1, 1) cax = ax.imshow(data, interpolation='nearest', 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()

效果图：