python之 matplotlib模块之绘制堆叠柱状图

#python之 matplotlib模块之绘制堆叠柱状图| 来源: 网络整理| 查看: 265

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我们先来看一个结果图

看到这个图，我个人的思路是

1 设置标题

import numpy as np import matplotlib.pyplot as plt plt.title('Scores by group and gender')

2 x坐标的间隔设置和文字设置

N = 13 ind = np.arange(N) #[ 0 1 2 3 4 5 6 7 8 9 10 11 12] plt.xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5', 'G6', 'G7', 'G8', 'G9', 'G10', 'G11', 'G12', 'G13'))

3 y坐标的文字设置和间隔设置

plt.yticks(np.arange(0, 81, 20)) #0到81 间隔20 plt.ylabel('Scores')

4 开始绘制主题条形图

Bottom = (52, 49, 48, 47, 44, 43, 41, 41, 40, 38, 36, 31, 29) Center = (38, 40, 45, 42, 48, 51, 53, 54, 57, 59, 57, 64, 62) Top = (10, 11, 7, 11, 8, 6, 6, 5, 3, 3, 7, 5, 9) d = [] for i in range(0, len(Bottom)): sum = Bottom[i] + Center[i] d.append(sum) width = 0.35 # 设置条形图一个长条的宽度 p1 = plt.bar(ind, Bottom, width, color='blue') p2 = plt.bar(ind, Center, width, bottom=Bottom,color='green') #在p1的基础上绘制，底部数据就是p1的数据 p3 = plt.bar(ind, Top, width, bottom=d,color='red') #在p1和p2的基础上绘制，底部数据就是p1和p2

5 设置legend区分三部分数据

plt.legend((p1[0], p2[0], p3[0]), ('Bottom', 'Center', 'Top'),loc = 3) #loc=3 表示lower left 也就是底部最左

loc的设置参数

'best' : 0, (only implemented for axes legends)(自适应方式) 'upper right' : 1, 'upper left' : 2, 'lower left' : 3, 'lower right' : 4, 'right' : 5, 'center left' : 6, 'center right' : 7, 'lower center' : 8, 'upper center' : 9, 'center' : 10,

6 绘制出图形

plt.show()

7 最终代码为：

import numpy as np import matplotlib.pyplot as plt plt.title('Scores by group and gender') N = 13 ind = np.arange(N) #[ 0 1 2 3 4 5 6 7 8 9 10 11 12] plt.xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5', 'G6', 'G7', 'G8', 'G9', 'G10', 'G11', 'G12', 'G13')) plt.ylabel('Scores') plt.yticks(np.arange(0, 81, 20)) Bottom = (52, 49, 48, 47, 44, 43, 41, 41, 40, 38, 36, 31, 29) Center = (38, 40, 45, 42, 48, 51, 53, 54, 57, 59, 57, 64, 62) Top = (10, 11, 7, 11, 8, 6, 6, 5, 3, 3, 7, 5, 9) d = [] for i in range(0, len(Bottom)): sum = Bottom[i] + Center[i] d.append(sum) width = 0.35 # 设置条形图一个长条的宽度 p1 = plt.bar(ind, Bottom, width, color='blue') p2 = plt.bar(ind, Center, width, bottom=Bottom,color='green') p3 = plt.bar(ind, Top, width, bottom=d,color='red') plt.legend((p1[0], p2[0], p3[0]), ('Bottom', 'Center', 'Top'),loc = 3) plt.show()

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