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2019-03-07 阅读量: 945
pandas纵向和横向连接

pandas纵向和横向连接

pd.concat(objs, axis=0, join=’outer’, join_axes=None, ignore_index=False, keys=None, levels=None, names=None, verify_integrity=False, copy=True)

参数说明:

objs:连接对象,多以列表、字典传入

axis:轴向,0代表纵向连接,1,代表横向连接

join:连接方式,共有’inner’,’left’,right’,’outer’

join_axes:参与连接的索引

ignore_index:是否忽略索引

keys:层次化索引

横向连接

import pandas as pd

s1=pd.Series([1,2,3],index=list('abc'))

s2=pd.Series([3,4,5],index=list('bde'))

pd.concat([s1,s2])

Out[6]:

a 1

b 2

c 3

b 3

d 4

e 5

dtype: int64

纵向连接

pd.concat([s1,s2],axis=1)

__main__:1: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version

of pandas will change to not sort by default.

To accept the future behavior, pass 'sort=False'.

To retain the current behavior and silence the warning, pass 'sort=True'.

Out[7]:

0 1

a 1.0 NaN

b 2.0 3.0

c 3.0 NaN

d NaN 4.0

e NaN 5.0

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