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 vote219 views2 answers
Python join multiple strings ignore none and empty string
Python
0 vote201 views1 answer
400/15
Python
0 vote209 views1 answer
Request.body django
Python
1 vote204 views1 answer
How to import subprocess in python
Python
4 votes227 views2 answers
Python strptime format codes
Python
2 votes223 views1 answer
List pop method in python
Python
0 vote196 views1 answer
Django amzon like app
Python
17 votes194 views6 answers
Python matplotlib
Python
8 votes212 views2 answers
Numpy normal distribution
Python
0 vote188 views1 answer
Enormous input test codechef solution
Python