输入类型Python Imputer

Question

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

#Import Data set

dataset= pd.read_csv('Data.csv') 
X = dataset.iloc[:,:-1].values
Y = dataset.iloc[:,3].values

#Taking Care of The Missing Data
from sklearn.preprocessing import Imputer

imputer = Imputer(missing_values='nan',strategy='mean',axis=0)
imputer = imputer.fit(X[:,1:3])

X[:,1:3] = imputer.transform(X[:,1:3])

我正在按照这个教程系列进行操作，并且正如导师对我做的那样，当然在代码中提到了这个错误。潜在的解决方案当然非常有用。提前谢谢。

Error : if value_to_mask == "NaN" or np.isnan(value_to_mask):
TypeError: ufunc 'isnan' not supported for the input types, and the
inputs could not be safely coerced to any supported types according to
the casting rule ''safe''

Answer 1

尝试：

imputer = Imputer(missing_values=np.nan,strategy='mean',axis=0)

或

imputer = Imputer(missing_values='NaN',strategy="mean",axis=0)

如documentation

中所述