Matplotlib 使用colorbar来设置色阶条:
colorbar(**kwargs) colorbar(mappable, **kwargs) colorbar(mappable, cax=cax, **kwargs) colorbar(mappable, ax=ax, **kwargs) #需要制定颜色样式图，所要画色阶条的轴 #ref:https://matplotlib.org/gallery/color/colorbar_basics.html#sphx-glr-gallery-color-colorbar-basics-py 下面是一个例子：
import numpy as np import matplotlib.pyplot as plt #生成绘图数据 N = 100 x, y = np.mgrid[:100, :100] Z = np.cos(x*0.05+np.random.rand()) + np.sin(y*0.05+np.random.rand())+2*np.random.rand()-1 # mask out the negative and positive values, respectively Zpos = np.ma.masked_less(Z, 0) #小于零的部分 Zneg = np.ma.masked_greater(Z, 0) #大于零的部分 fig, (ax1, ax2, ax3) = plt.subplots(figsize=(13, 3), ncols=3) pos = ax1.imshow(Zpos, cmap='Reds', interpolation='none') fig.colorbar(pos, ax=ax1) #这里使用colorbar来制定需要画颜色棒的图的轴，以及对应的cmap，与pos对应 neg = ax2.imshow(Zneg, cmap='Blues_r', interpolation='none') fig.colorbar(neg, ax=ax2) pos_neg_clipped = ax3.imshow(Z, cmap='jet', vmin=-2, vmax=2,interpolation='none') #-2,2的区间 fig.colorbar(pos_neg_clipped, ax=ax3) plt.show() #ref: # https://matplotlib.org/api/_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure.colorbar # https://matplotlib.org/gallery/color/colorbar_basics.html#sphx-glr-gallery-color-colorbar-basics-py 