# -*- coding: utf-8 -*-
"""
Created on Thu May 23 15:37:10 2019
@author: User
"""
import pandas as pd
import numpy as np
cs1=pd.Series([1.5,2.5,3,5,1],index=['a','c','d','b','e'])
print("\n cs1:")
print(cs1)
cs2=pd.Series([10,20,30,50,10,100,20],index=['c','a','e','b','f','g','d'])
print("\n cs2:")
print(cs2)
print("\n cs1 + cs2:")
print(cs1 + cs2)
cdf1=pd.DataFrame(np.arange(10).reshape((2,5)),columns=list('bcaed'))
print("\n cdf1:")
print(cdf1)
cdf2=pd.DataFrame(np.arange(12).reshape((3,4)),columns=list('abcd'))
print("\n cdf2:")
print(cdf2)
print("\n cdf1 + cdf2:")
print(cdf1 + cdf2)
print("\n cdf1.add(cdf2,fill_value=0):")
print(cdf1.add(cdf2,fill_value=0))
运行：
cs1: a 1.5 c 2.5 d 3.0 b 5.0 e 1.0 dtype: float64
cs2: c 10 a 20 e 30 b 50 f 10 g 100 d 20 dtype: int64
cs1 + cs2: a 21.5 b 55.0 c 12.5 d 23.0 e 31.0 f NaN g NaN dtype: float64
cdf1: b c a e d 0 0 1 2 3 4 1 5 6 7 8 9
cdf2: a b c d 0 0 1 2 3 1 4 5 6 7 2 8 9 10 11
cdf1 + cdf2: a b c d e 0 2.0 1.0 3.0 7.0 NaN 1 11.0 10.0 12.0 16.0 NaN 2 NaN NaN NaN NaN NaN
cdf1.add(cdf2,fill_value=0): a b c d e 0 2.0 1.0 3.0 7.0 3.0 1 11.0 10.0 12.0 16.0 8.0 2 8.0 9.0 10.0 11.0 NaN
