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#!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
N = 5
menMeans = (20, 35, 30, 35, 27)
menStd = (2, 3, 4, 1, 2)
ind = np.arange(N) # the x locations for the groups
width = 0.35 # the width of the bars
plt.subplot(111)
rects1 = plt.bar(ind, menMeans, width,
color='r',
yerr=menStd,
error_kw=dict(elinewidth=6, ecolor='pink'))
womenMeans = (25, 32, 34, 20, 25)
womenStd = (3, 5, 2, 3, 3)
rects2 = plt.bar(ind+width, womenMeans, width,
color='y',
yerr=womenStd,
error_kw=dict(elinewidth=6, ecolor='yellow'))
# add some
plt.ylabel('Scores')
plt.title('Scores by group and gender')
plt.xticks(ind+width, ('G1', 'G2', 'G3', 'G4', 'G5') )
plt.legend( (rects1[0], rects2[0]), ('Men', 'Women') )
def autolabel(rects):
# attach some text labels
for rect in rects:
height = rect.get_height()
plt.text(rect.get_x()+rect.get_width()/2., 1.05*height, '%d'%int(height),
ha='center', va='bottom')
autolabel(rects1)
autolabel(rects2)
plt.show()
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