pandas表连接 索引上的合并方法

如下所示：

left1 = pd.dataframe({‘key':[‘a','b','a','a','b','c'],'value':range(6)}) 
right1 = pd.dataframe({‘group_val':[3.5,7]},index = [‘a','b']) 
print(left1) 
print(right1) 
result = pd.merge(left1,right1,left_on='key',right_index=true) 
print(result)

层次化数据的索引

lefth = pd.dataframe({‘key1':[‘ohio','ohio','ohio','nevada','nevada'], 
‘key2':[2000,2001,2002,2001,2002], 
‘data':np.arange(5)}) 
print(lefth) 
righth = pd.dataframe(np.arange(12).reshape(6,2),index = [[‘nevada','nevada','ohio','ohio','ohio','ohio'], 
[2001,2000,2000,200,2001,2002]]) 
print(righth) 
result = pd.merge(lefth,righth,left_on=[‘key1','key2'],right_index=true) 
print(result)

以上代码如果想改为外部连接 how = ‘outer' 就可以了

同时合并双方索引

left2 = pd.dataframe([[1,2],[3,4],[5,6]],index=[‘a','c','e'],columns=[‘ohio','neveda']) 
right2 = pd.dataframe([[7,8],[9,10],[11,12],[13,14]],index=[‘b','c','d','e'],columns=[‘missouri','alabma']) 
print(left2) 
print(right2) 
result = pd.merge(left2,right2,how='outer',left_index=true,right_index=true) 
print(result)

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