convert categorical variable to numeric python
# get all categorical columns in the dataframe
catCols = [col for col in df1.columns if df1[col].dtype=="O"]
from sklearn.preprocessing import LabelEncoder
lb_make = LabelEncoder()
for item in catCols:
df1[item] = lb_make.fit_transform(df1[item])panda categorical data into numerica
sex = train_dataset['Sex'].replace(['female','male'],[0,1])
print(sex)pandas categorical to numeric
#this will label as one hot vectors (origin is split into 3 columns - USA, Europe, Japan and any one place will be 1 while the others are 0)
dataset['Origin'] = dataset['Origin'].map({1: 'USA', 2: 'Europe', 3: 'Japan'})convert categorical data type to int in pandas
from sklearn import preprocessing
lab_encoder = preprocessing.LabelEncoder()
df['column'] = lab_encoder.fit_transform(df['column'])Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
