label encoding
from sklearn.preprocessing import LabelEncoder
le = LabelEncoder()
companydata.ShelveLoc = le.fit_transform(companydata.ShelveLoc)
label encoding
from sklearn.preprocessing import LabelEncoder
le = LabelEncoder()
companydata.ShelveLoc = le.fit_transform(companydata.ShelveLoc)
transform categorical variables python
from sklearn.preprocessing import LabelEncoder
lb_make = LabelEncoder()
obj_df["make_code"] = lb_make.fit_transform(obj_df["make"])
obj_df[["make", "make_code"]].head(11)
how to use label encoding in python
obj_df["body_style"] = obj_df["body_style"].astype('category')
obj_df.dtypes
obj_df["body_style_cat"] = obj_df["body_style"].cat.codes
obj_df.head()
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