matplotlib先进的堆叠酒吧

Question

matplotlib阴谋酒吧

它可以是常规的像http://matplotlib.org/examples/api/barchart_demo.html

让我们将此定义为[M，F]

可以堆叠像http://matplotlib.org/examples/pylab_examples/bar_stacked.html

让我们定义这作为[M + F]

现在如何绘制[M，F +其他]

Answer 1

如果我正确理解你，你想要一个叠加多于两个元素的堆栈图？如果是的话，那就像在你发布的例子中那样直截了当：

#!/usr/bin/env python 
# a stacked bar plot with errorbars 
import numpy as np 
import matplotlib.pyplot as plt 


N = 5 
menMeans = [20, 35, 30, 35, 27] 
womenMeans = [25, 32, 34, 20, 25] 
otherMeans = [5, 2, 4, 8, 5] 
menStd  = [2, 3, 4, 1, 2] 
womenStd = [3, 5, 2, 3, 3] 
otherStd = [1, 1, 1, 1, 1] 
ind = np.arange(N) # the x locations for the groups 
width = 0.35  # the width of the bars: can also be len(x) sequence 

p1 = plt.bar(ind, menMeans, width, color='r', yerr=womenStd) 
p2 = plt.bar(ind, womenMeans, width, color='y', 
      bottom=menMeans, yerr=menStd) 
p3 = plt.bar(ind, otherMeans, width, color='b', 
      bottom=[menMeans[j] + womenMeans[j] for j in range(len(menMeans)) ], 
      yerr=otherStd) 

plt.ylabel('Scores') 
plt.title('Scores by group and gender') 
plt.xticks(ind+width/2., ('G1', 'G2', 'G3', 'G4', 'G5')) 
plt.yticks(np.arange(0,81,10)) 
plt.legend((p1[0], p2[0], p3[0]), ('Men', 'Women', 'Other')) 

plt.show()