One hot encoder python

from sklearn.preprocessing import OneHotEncoder
encoder = OneHotEncoder()
# apply on df
color_1hot = encoder.fit_transform(df['ocean_proximity'].values.reshape(-1,1))
color_1hot_df = pd.DataFrame(color_1hot.toarray())
df = pd.concat([df.drop('ocean_proximity', axis=1), color_1hot_df], axis=1)
# can allso use the pandas dummies
df = pd.get_dummies(df, columns=['ocean_proximity'])

# apply on np.array
X[:, 2] = le.fit_transform(X[:, 2])

Onehotencoder = OneHotEncoder(categorical_features = [1]) X = onehotencoder.fit_transform(X).toarray() X = X[:, 1:]

from sklearn.compose import ColumnTransformer

ct = ColumnTransformer([('encoder', OneHotEncoder(), [1])], remainder='passthrough')
X = np.array(ct.fit_transform(X), dtype=np.float)

Similar codes

0 vote108 views1 answer
Align columns to left pandas python
Python
0 vote114 views1 answer
Css selenium
Python
0 vote98 views1 answer
Python Root finding code
Python
0 vote100 views1 answer
Create pytorch zeros
Python
0 vote106 views1 answer
Linux echo redirect output to python script
Python
3 votes142 views1 answer
Sort two lists by one python
Python
0 vote122 views1 answer
Save_img keras
Python
0 vote100 views10 answers
Convert python to c++ online
Python
0 vote102 views1 answer
Python Django How To Bulk Update
Python
0 vote120 views1 answer
How i get url value in get_queryset function in drf
Python