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).encode python
string = 'pythön!'
print('The string is:', string)
string_utf = string.encode("utf-8")
print('The encoded version is:', string_utf)
# Output:
The string is: pythön!
The encoded version is: b'pythxc3xb6n!'
# From: https://www.programiz.com/python-programming/methods/string/encodetransform 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()Copyright © 2021 Codeinu
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