Label encoder python

from sklearn.preprocessing import LabelEncoder
encoder = LabelEncoder()

# apply on df
df['status'] = encoder.fit_transform(df['status'])
# can allso use the pandas.map
df['status'] = df['status'].map(lambda x: 1 if x=='Placed' else 0)

#apply on np.array
ct = ColumnTransformer(transformers=[('encoder', OneHotEncoder(), [1])], remainder='passthrough')
X = np.array(ct.fit_transform(X))

Label encoding

from sklearn.preprocessing import LabelEncoder

le = LabelEncoder()
companydata.ShelveLoc = le.fit_transform(companydata.ShelveLoc)

Similar codes

0 vote405 views2 answers
The module in NAME could not be imported: django.contrhtmlib.auth.password_validation.UserAttributeSimilarityValidator. Check your AUTH_PASSWORD_VALIDATORS setting.
Python
5 votes185 views1 answer
Turn multiindex into columns#
Python
0 vote233 views1 answer
Delete all historical data django simple history
Python Django
2 votes185 views1 answer
Torch device
Python
0 vote195 views1 answer
Ball python
Python
1 vote184 views5 answers
Python code
Python
0 vote187 views1 answer
Map dataframe parallel
Python
0 vote191 views1 answer
Weight constraints keras cnn
Python
9 votes191 views5 answers
How to make a pygame window
Python
0 vote174 views1 answer
Convert_hex_to_ASCII_3.py
Python