Python 我想用z矩阵所有值的平均值来填充z矩阵中缺少的值

我想用各列的方法并使用以下代码在列中填充缺失的数据：

#Data Preprocessing
#Importing libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

#Importing dataset
dataset = pd.read_csv('Book1.csv')
x = dataset.iloc[:, :-2].values
y = dataset.iloc[:, -2].values
z = dataset.iloc[:, 4].values

#Dealing with missing data
from sklearn.preprocessing import Imputer
imputer = Imputer()
imputer = imputer.fit(x[:,1:3])
imputer = imputer.fit(z[:])
x[:, 1:3] = imputer.transform(x[:, 1:3])
z[:] = imputer.transform(z[:])

当我尝试运行此操作时，我得到一个错误：

Traceback (most recent call last):

File "<ipython-input-24-f33b6b1880df>", line 15, in <module>
  imputer = imputer.fit(z[:])

File "C:\ProgramData\Anaconda3\lib\site-  packages\sklearn\preprocessing\imputation.py", line 155, in fit
force_all_finite=False)

File "C:\ProgramData\Anaconda3\lib\site-packages\sklearn\utils\validation.py", line 441, in check_array  
"if it contains a single sample.".format(array))

ValueError: Expected 2D array, got 1D array instead:
array=[ 1.  3.  4. nan  5.  7.  6.  9.  8. 10.].
Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample

---

我应该在代码中更改什么来填充“test”列中缺少的数据。我尝试将“test column”包含在x

中，显然，您正在使用一个

Imputer

实例来插补

x

（2D）和

z

（1D）数组。您应该为两个变量创建单独的插补器：

imputer_x = Imputer()
imputer_z = Imputer()
imputer_x.fit(x[:,1:3])
imputer_z.fit(z[:])
x[:, 1:3] = imputer_x.transform(x[:, 1:3])
z[:] = imputer_z.transform(z[:])

imputer_x = Imputer()
imputer_z = Imputer()
imputer_x.fit(x[:,1:3])
imputer_z.fit(z[:])
x[:, 1:3] = imputer_x.transform(x[:, 1:3])
z[:] = imputer_z.transform(z[:])