利用pandas模块读取csv文件和excel表格，并用matplotlib画图

# coding=utf-8import pandas as pd# 读取csv文件 3列取名为 name,sex,births，后面参数格式为names=names1880 = pd.read_csv("names_1880.txt", names=['name', 'sex', 'births'])print names1880print names1880.groupby('sex').births.sum()

输出如下

最后一行是说按sex分组并计算births的和

import pandas as pdimport matplotlib as mbimport matplotlib.pyplot as pltxls = pd.read_excel('phase_detector.xlsx',names=['x','y'])print xls# 原点相交ax = plt.gca()ax.xaxis.set_ticks_position('bottom')ax.spines['bottom'].set_position(('data',0))ax.yaxis.set_ticks_position('left')ax.spines['left'].set_position(('data',0))# 去掉边框ax.spines['top'].set_color('none')ax.spines['right'].set_color('none')plt.plot(xls.x, xls.y)plt.scatter(xls.x, xls.y)plt.savefig('aa.png')plt.show()