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:
----------------------------------------------------