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 votes150 views2 answers
Pypi
Python
24 votes133 views6 answers
Order dictionary by value python
Python
0 vote135 views1 answer
Python pad with spaces
Python
0 vote139 views1 answer
Select first row of every group pandas
Python
0 vote124 views1 answer
Ansible playbook to set passwordless sudo
Python
4 votes134 views1 answer
Import discord python
Python
21 votes153 views3 answers
Python if not null or empty
Python
37 votes144 views4 answers
Python To find the sum of all the elements in a list.
Python
0 vote88 views1 answer
Neo4j python
Python
0 vote139 views2 answers
Packet tracer 10.6.12
Python