One hot encoding

One hot encoding python pandas

y = pd.get_dummies(df.Countries, prefix='Country')
print(y.head())
# from here you can merge it onto your main DF

Source: stackabuse.com

One hot encoding numpy

  labels = (np.arange(num_labels) == labels[:,None]).astype(np.float32)

One hot encoding

from sklearn.preprocessing import OneHotEncoder
encoder = preprocessing.OneHotEncoder(handle_unknown='ignore')
y = np.array([1, 2, 1, 3])
y = y.reshape(-1,1)
encoder.fit(y)
y_oh = encoder.transform(y).toarray()
print(y_oh)
>>[[1. 0. 0.]
 [0. 1. 0.]
 [1. 0. 0.]
 [0. 0. 1.]]

Similar codes

5 votes120 views1 answer
Englsih to japanese
Python
9 votes166 views1 answer
Flask tutorials
Python Flask
0 vote148 views1 answer
Python counter infinite series
Python
97 votes141 views6 answers
Download python
Python
0 vote149 views2 answers
Python check if dir exists else create
Python
0 vote132 views1 answer
Create pandas df without column name toy dataset
Python
2 votes127 views2 answers
Copy a 2d list python
Python
0 vote132 views1 answer
TypeError at /admin/auth/user/
Python
0 vote133 views3 answers
How to improve accuracy of random forest classifier
Python
0 vote130 views1 answer
How to open excel with more than one sheetpython
Python