我有一个数据帧,如下所示:
df = {'TYPE' : pd.Series(['Advisory','Advisory1','Advisory2','Advisory3']),
'CNTRY' : pd.Series(['IND','FRN','IND','FRN']),
'VALUE' : pd.Series([1., 2., 3., 4.])}
df = pd.DataFrame(df)
df = pd.pivot_table(df,index=["CNTRY"],columns=["TYPE"]).reset_index()在透视之后,如何才能获得如下所示的具有列和df的数据帧;删除多级索引VALUE
Type|CNTRY|Advisory|Advisory1|Advisory2|Advisory3
0 FRN NaN 2.0 NaN 4.0
1 IND 1.0 NaN 3.0 NaN https://stackoverflow.com/questions/44513488
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