只需从列规范中删除Country：
print('---') newdf=df.set_index('A')# 这里的drop必需为True(默认为这里的drop必需为True),否则会报错ValueError: cannot insert A, already exists(意思是...只可意会不可言传哈哈) print(newdf) print('---') newdf1=newdf.reset_index(drop=False)#索引列会被还原为普通列 print(newdf1) prin...
->3810raiseValueError('cannot insert %s, already exists'%item)38113812ifnotisinstance(loc,int):TypeError:notallargumentsconvertedduringstringformatting Problem description Clearly% itemshould be replaced with% (item,). Expected Output cannot insert ('B', ''), already exists Output ofpd.show_versions...
否则会报错ValueError: cannot insert A, already exists(意思是...只可意会不可言传哈哈)print (newdf)print('---')newdf1 = newdf.reset_index(drop=False) #索引列会被还原为普通列print (newdf1)print('---')newdf2 = newdf.reset_index(drop=True) #索引被还原为普通列,瞬间又...
区别python-pandas库set_index、reset_index⽤法区别 1、set_index()作⽤：DataFrame可以通过set_index⽅法，将普通列设置为单索引/复合索引。格式：DataFrame.set_index(keys, drop=True, append=False, inplace=False, verify_integrity=False)参数含义：keys：列标签或列标签/数组列表，需要设置为索引的普通...
1、set_index() 作用:DataFrame可以通过set_index方法,将普通列设置为单索引/复合索引。 格式:DataFrame.set_index(keys, drop=True, append=False, inplace=False, verify_integrity=False
Error is: ValueError: cannot insert image_class_id, already exists It seems that the problem is that Dask dataframe reset_index only has the drop option. Whereas the pandas reset index and drop just 1 level. I want to keep the image_id as the only index of the final output, and not ...
pandas中最常用的数据结构是DataFrame，而DataFrame相较于嵌套list或者二维numpy数组更好用的原因之一在于其...