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pandas 将索引值相加的方法

程序员文章站 2023-11-15 23:34:22
如下所示: s1 = pd.series([1, 2, 3, 4], index=['a', 'b', 'c', 'd']) s2 = pd.series(...

如下所示:

 s1 = pd.series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])
 s2 = pd.series([10, 20, 30, 40], index=['a', 'b', 'c', 'd'])
 print s1 + s2
a 11
b 22
c 33
d 44
dtype: int64
 s1 = pd.series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])
 s2 = pd.series([10, 20, 30, 40], index=['b', 'd', 'a', 'c'])
 print s1 + s2
a 31
b 12
c 43
d 24
dtype: int64
 s1 = pd.series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])
 s2 = pd.series([10, 20, 30, 40], index=['c', 'd', 'e', 'f'])
 print s1 + s2
a  nan
b  nan
c 13.0
d 24.0
e  nan
f  nan
dtype: float64
 s1 = pd.series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])
 s2 = pd.series([10, 20, 30, 40], index=['e', 'f', 'g', 'h'])
 print s1 + s2
a nan
b nan
c nan
d nan
e nan
f nan
g nan
h nan
dtype: float64

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