Question

>top=int(top)
 well_blocks_in_Y=int(well_blocks_in_Y)
 right=int(right)
 left=int(left)
 ty=0
 ls=[]
 for i in range (len(df_main)):
     if (df_main.Y.loc[i] < (top-well_blocks_in_Y) and (left) < df_main.X.loc < (right-1)):
         for j in range(well_blocks_in_Y):
             ty = ty + df_main.Ranking.loc[(i+(j*(right-left)))]
             ty = ty + df_main.Ranking.loc[(i+(j*(right-left))-1)]
             ty = ty + df_main.Ranking.loc[(i-(j*(right-left))+1)]
          ls.append(ty)
          ty=0
     else:
          ls.append('')
 df_rank_y=pd.DataFrame(data=ls,index=None)

错误是

unorderable types: int() < _LocIndexer().

我在将pandas df数据类型numpy.int64与用户输入的int数据类型进行比较时得到了这个。

Answer 1

df_main.X.loc [i]＆lt; （右1）代替df_main.X.loc＆lt; （右1）在第8行

由Jean-FrançoisFabre提供的答案

什么是不可订购的类型：int（）＆lt; _LocIndexer（）？

1 个答案: