Python"TypeError:无法散列的类型:'sl​​ice'"用于编码分类数据 [英] Python "TypeError: unhashable type: 'slice'" for encoding categorical data

问题描述

我得到

TypeError:不可散列的类型:'sl​​ice'

TypeError: unhashable type: 'slice'

在执行以下代码以在Python中对分类数据进行编码时.谁能帮忙吗?

when executing the below code for encoding categorical data in Python. Can anyone please help?

# 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])

推荐答案

X是一个数据框，无法通过切片术语(如X[:, 3])进行访问.您必须通过 iloc 或 X.values .但是，您构造X的方式使其成为副本...如此.我会用values

X is a dataframe and can't be accessed via slice terminology like X[:, 3]. You must access via iloc or X.values. However, the way you constructed X made it a copy... so. I'd use 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])

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