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 vote183 views1 answer
Paystack python
Python
0 vote217 views0 answer
Python
0 vote225 views1 answer
Convert list of lists to numpy array matrix python
Python
0 vote176 views1 answer
Python get all items from generator
Python
6 votes168 views1 answer
Gtts
Python
0 vote162 views1 answer
Pandas count all values in whole dataframe
Python
0 vote175 views1 answer
How to strip a list in python
Python
0 vote207 views1 answer
Seaborn create a correlation matrix
Python
20 votes262 views5 answers
How to merge two pandas dataframes on a column
Python
0 vote162 views2 answers
Python object name
Python