1.原理
https://blog.csdn.net/m0_48405781/article/details/108420697
Axes.bar(self, x, height, width=0.8, bottom=None, *, align=’center’, data=None, **kwargs)
在绘制堆积图时，是在前一个的基础上累加的，即需要设置bottom参数。
举例：
import numpy as npimport matplotlib.pyplot as plt labels = ['Month1', 'Month2', 'Month3', 'Month4']mine = [21, 52, 33, 54]others = [54, 23, 32, 41]Mine_std = [2, 3, 4, 1]Others_std = [3, 5, 2, 3]width = 0.3 fig, ax = plt.subplots() ax.bar(labels, mine, width, yerr = Mine_std, label ='Mine') ax.bar(labels, others, width, yerr = Others_std, bottom = mine, label ='Others') ax.set_ylabel('Articles')ax.legend() ax.set_title('matplotlib.axes.Axes.bar Example') plt.show()
其中第二个ax.bar（）参数设置bottom = mine即可。