1d array to one hot

One hot encoding numpy

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

1d array to one hot

>>> a = np.array([1, 0, 3])
>>> b = np.zeros((a.size, a.max()+1))
>>> b[np.arange(a.size),a] = 1
>>> b
array([[ 0.,  1.,  0.,  0.],
       [ 1.,  0.,  0.,  0.],
       [ 0.,  0.,  0.,  1.]])

Source: stackoverflow.com

Similar codes

2 votes314 views1 answer
Sum all values of a dictionary python
Python
0 vote290 views1 answer
Select rainfall events and calculate rainfall event total from time-series data
Python
1 vote305 views1 answer
How to get maximum value of number in python
Python
0 vote270 views2 answers
Python randint with leading zero
Python
0 vote280 views1 answer
Vehari weather
Python
28 votes342 views2 answers
Simple python for loop print 1 to 5
Python
0 vote285 views1 answer
Django form set min and max value
Python
0 vote303 views2 answers
Attributeerror module 'datetime' has no attribute 'now' python
Python
100 votes281 views6 answers
Pip3 upgrade
Python
0 vote288 views2 answers
Django ajax body to json
Python