Python-Matplotlib安装及简单使用

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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

fig, ax = plt.subplots()

rects1 = ax.bar(ind, menMeans, width, color=‘r‘, yerr=menStd)

womenMeans = (25, 32, 34, 20, 25)

womenStd =   (3, 5, 2, 3, 3)

rects2 = ax.bar(ind+width, womenMeans, width, color=‘y‘, yerr=womenStd)

# add some

ax.set_ylabel(‘Scores‘)

ax.set_title(‘Scores by group and gender‘)

ax.set_xticks(ind+width)

ax.set_xticklabels( (‘G1‘, ‘G2‘, ‘G3‘, ‘G4‘, ‘G5‘) )

ax.legend( (rects1[0], rects2[0]), (‘Men‘, ‘Women‘) )

def autolabel(rects):

    # attach some text labels

    for rect in rects:

        height = rect.get_height()

        ax.text(rect.get_x()+rect.get_width()/2., 1.05*height, ‘%d‘%int(height),

                ha=‘center‘, va=‘bottom‘)

autolabel(rects1)

autolabel(rects2)

plt.show()