Python 使用OnehotEncoder将编码标签转换为数组
当我试图使用Python 3.67使用Python 使用OnehotEncoder将编码标签转换为数组,python,machine-learning,one-hot-encoding,Python,Machine Learning,One Hot Encoding,当我试图使用Python 3.67使用OnehotEncoder将编码标签转换为数组时,我遇到了一个问题 import pandas as pd import numpy as np from sklearn.preprocessing import LabelEncoder, OneHotEncoder dataset = pd.read_csv('crime.csv') X = dataset.sample(1000) X.dropna() x= X.loc[:,dataset.col
OnehotEncoder
将编码标签转换为数组时,我遇到了一个问题
import pandas as pd
import numpy as np
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
dataset = pd.read_csv('crime.csv')
X = dataset.sample(1000)
X.dropna()
x= X.loc[:,dataset.columns != 'IS_CRIME'].values
#Displaying content of the categorical variable
a = X.iloc[:,16]
#Encoding
labelencoder_X = LabelEncoder()
x[:, 16] = labelencoder_X.fit_transform(x[:, 16])
onehotencoder = OneHotEncoder(categorical_features = [0])
x = onehotencoder.fit_transform(x).toarray()