Python 如何修复SimpleImputer:“；ValueError：输入包含NaN、无穷大或对dtype太大的值；

我有一个数据集，如下所示：

    MonthlyCharges  TotalCharges
0   29.85           109.90
1   56.95           NaN
2   NaN             108.15
3   42.30           1840.75
4   70.70           NaN
5   NaN             820.50
6   89.10           1949.40
7   NaN             NaN
8   104.80          3046.05
9   54.10           354.95

import numpy as np
from sklearn.impute import SimpleImputer

imp = SimpleImputer(missing_values=np.nan, strategy='median', verbose=0)
imp.fit(tele2_sub)

我使用

SimpleImputer

来完成缺少的值：

from sklearn.impute import SimpleImputer
imp = SimpleImputer(missing_values='NaN',strategy='median',verbose=0)
imp.fit(tele2_sub)

但是，我收到一个错误

Error: ValueError: Input contains NaN, infinity or a value too large for dtype('float64').

---

这里缺少什么？

初始化调用应将

缺少的\u值设置为
numpy.nan
，如下所示：

    MonthlyCharges  TotalCharges
0   29.85           109.90
1   56.95           NaN
2   NaN             108.15
3   42.30           1840.75
4   70.70           NaN
5   NaN             820.50
6   89.10           1949.40
7   NaN             NaN
8   104.80          3046.05
9   54.10           354.95

import numpy as np
from sklearn.impute import SimpleImputer

imp = SimpleImputer(missing_values=np.nan, strategy='median', verbose=0)
imp.fit(tele2_sub)