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

42 votes194 views3 answers
Df iterrows pandas
Python
1 vote192 views1 answer
Add text to the middle of the window tkinter
Python
0 vote205 views1 answer
Save python dic
Python
0 vote179 views2 answers
Read excel spark
Python
0 vote185 views1 answer
Machine learning project outline
Python
0 vote208 views1 answer
Train_ttest_split()
Python
2 votes187 views2 answers
Split datetime to date and time pandas
Python
1 vote173 views3 answers
How to add items to tuple in python
Python
0 vote194 views1 answer
Comment voir les requêtes SQL brutes exécutées par Django?
Python
0 vote180 views1 answer
Shutdown flask server with request
Python