使用pandas模块读取csv文件和excel表格,并用matplotlib画图的方法

如下所示：

# coding=utf-8
import 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 names1880
print 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 pd
import matplotlib as mb
import matplotlib.pyplot as plt
xls = 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()

来源：https://blog.csdn.net/u013692888/article/details/76123099