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])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'})Copyright © 2021 Codeinu
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