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

2 votes153 views1 answer
Click js selenium python
Python
-1 vote160 views3 answers
How to get the code of a website in python
Python
0 vote143 views1 answer
Convert_text_to_hexadecimal_viva.py in python
Python
0 vote149 views1 answer
How to return number in binary python
Python
2 votes142 views2 answers
Cmd clear command for anaconda
Python
0 vote147 views1 answer
Is there a gif package for python
Python
9 votes136 views2 answers
Pandas to convert null values to mean in numeric column
Python
7 votes135 views2 answers
Load img cv2
Python
-1 vote161 views1 answer
How to create templates in python
Python
33 votes161 views10 answers
Elon musk
Python