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背景：
1）数据可视化
目前还处于python入门阶段，主要想通过numpy、matplotlib进行数据可视化。
安装：
操作系统：windows7
1）python2.7 安装numpy、matplotlib
pip安装numpy没有问题
pip通过tar安装matplotlib不成功，提示缺少freetype、png，反正挺麻烦的。
2）python3.5安装numpy、matplotlib
pip直接搞定，安装matplotlib的时候会安装关联的模块。
安装numpy和matplotlib后，pip list展示安装了哪些模块。
使用：
网上随便找了个例子，如下：
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()
运行图：
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原文地址：http://www.cnblogs.com/huangfox/p/5491731.html
