Matplotlib:堆积的条形图 [英] Matplotlib: Stacked Bar Graphs

问题描述

我正在使用 matplotlib的堆叠条形图示例，其中有两个问题.你能帮我理解为什么我的代码没有适当地堆叠值吗?

I'm using matplotlib's stacked bar graph example with a couple of issues. Can you please help me understand why my code is not stacking the values appropriately?

N = 3
#('PledMis', 'PledFel', 'FoundFel')
Incarceration   = (115.3, 1.99,23.7 )   
Probation   = (52.0, 45.9, 45.0)   
Work   = (0, 0.3, 2.4)   
Program   = (0, 0, 12)   

ind = np.arange(N)    # the x locations for the groups
width = 0.5           # the width of the bars: can also be len(x) sequence

p1 = plt.bar(ind, Incarceration, width, color='r')
p2 = plt.bar(ind, Probation, width, color='y',bottom=Incarceration)
p3 = plt.bar(ind, Work, width, color='b',bottom= Probation)
p4 = plt.bar(ind, Program, width, color='g',bottom=Work)

plt.ylabel('Months')
plt.title('Time')

plt.xticks(ind+width/2, ('Found Guilty: Felony', 'Pled Guilty: Mis', 'Pled Guilty: Felony' ) )
plt.yticks(np.arange(10,200,10))
plt.legend ((p1[0], p2[0], p3[0], p4[0]), ('Incarceration', 'Probation','Work','Program' ))

plt.show()

推荐答案

**您未考虑底部的其他数据点.试试这个:

*you do not take the other data points into account for bottom. try this:

import numpy as np
N = 3
#('PledMis', 'PledFel', 'FoundFel')
Incarceration   = np.array([115.3, 1.99,23.7] )   
Probation   = np.array([52.0, 45.9, 45.0])   
Work   = np.array([0, 0.3, 2.4])   
Program   = np.array([0, 0, 12])   

ind = np.arange(N)    # the x locations for the groups
width = 0.5           # the width of the bars: can also be len(x) sequence
p1 = plt.bar(ind, Incarceration, width, color='r')
p2 = plt.bar(ind, Probation, width, color='y',bottom=Incarceration)
p3 = plt.bar(ind, Work, width, color='b',bottom= Probation+Incarceration)
p4 = plt.bar(ind, Program, width, color='g',bottom=Work+Probation+Incarceration)

如果您要绘制多个条形图并希望将它们堆叠起来，那么使用循环并用自己的变量累加底部可能就足够了:

if you do multiple bar plots and want to stack them, it might be more sufficient to use a loop and accumulate the bottom with an own variable:

colors = ('r', 'y', 'b', 'g')
data = (Incarceration, Probation, Work, Program)
bottom = np.zeros(N)
for elem, color in zip(data, colors):
    plt.bar(ind, elem, width, bottom=bottom, color=color)
    bottom += elem

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