python - 类型错误 : Cannot do inplace boolean setting on mixed-types with a non np. nan 值

Question

当我尝试用特定字符串值替换多列中的数值时，出现错误 TypeError: Cannot do inplace boolean setting on mixed-types with a non np.nan value。

df =

TYPE  VD_1   VD_2    VD_3
AAA   1234   22122   2345
AAA   1234   2345    22122

我是这样做的:

df[df.isin([22122])] = "English"

或

df[df==22122] = "English"

Answer 1

如果您堆叠 df，那么您可以将整个 df 与标量值进行比较，替换然后取消堆叠:

In [122]:
stack = df.stack()
stack[ stack == 22122] = 'English'
stack.unstack()

Out[122]:
  TYPE  VD_1     VD_2     VD_3
0  AAA  1234  English     2345
1  AAA  1234     2345  English

或替换:

In [125]:
df.replace(22122,'English', inplace=True)
df

Out[125]:
  TYPE  VD_1     VD_2     VD_3
0  AAA  1234  English     2345
1  AAA  1234     2345  English