蟒「類型錯誤：unhashable類型：‘切片’」用於編碼分類數據

Question

在Python中編碼分類數據執行下面的代碼時收到

TypeError: unhashable type: 'slice'

。任何人都可以幫忙嗎？

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

# Importing the dataset 
dataset = pd.read_csv('50_Startups.csv') 
y=dataset.iloc[:, 4] 
X=dataset.iloc[:, 0:4] 

# Encoding categorical data 
from sklearn.preprocessing import LabelEncoder, OneHotEncoder 
labelencoder_X = LabelEncoder() 
X[:, 3] = labelencoder_X.fit_transform(X[:, 3]) 

Answer 1

X是一個數據幀，並且不能經由切片術語像X[:, 3]進行訪問。您必須通過iloc或X.values訪問。然而，你構造的方式X使它成爲一個副本...所以。要麼同時創造變量X I最好使用values

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

# Importing the dataset 
# dataset = pd.read_csv('50_Startups.csv') 

dataset = pd.DataFrame(np.random.rand(10, 10)) 
y=dataset.iloc[:, 4] 
X=dataset.iloc[:, 0:4] 

# Encoding categorical data 
from sklearn.preprocessing import LabelEncoder, OneHotEncoder 
labelencoder_X = LabelEncoder() 

# I changed this line 
X.values[:, 3] = labelencoder_X.fit_transform(X.values[:, 3]) 

Answer 2

使用價值或而編碼如上

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

# Importing the dataset 
# dataset = pd.read_csv('50_Startups.csv') 

dataset = pd.DataFrame(np.random.rand(10, 10)) 
y=dataset.iloc[:, 4].values 
X=dataset.iloc[:, 0:4].values 

Answer 3

提到在創建矩陣X和Y矢量使用values。

X=dataset.iloc[:,4].values 
Y=dataset.iloc[:,0:4].values 

它一定會解決您的問題。