在官方的例子中,我們可以用條功能是這樣的:matplotlib條形圖errbar
#!/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)
menStd = (2, 3, 4, 1, 2)
womenStd = (3, 5, 2, 3, 3)
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,align='center')
p2 = plt.bar(ind, womenMeans, width, color='y',bottom=menMeans, yerr=menStd,align='center')
plt.ylabel('Scores')
plt.title('Scores by group and gender')
plt.xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5'))
plt.yticks(np.arange(0,81,10))
plt.legend((p1[0], p2[0]), ('Men', 'Women'))
plt.show()
我不明白的是,爲什麼womenStd用作menMeans的yerr, 和menStd被用作女性的手段。
請問你能解釋一下嗎? 非常感謝。