Prevent division by zero numpy

>>> a = np.array([-1, 0, 1, 2, 3], dtype=float)
>>> b = np.array([ 0, 0, 0, 2, 2], dtype=float)

# If you don't pass `out` the indices where (b == 0) will be uninitialized!
>>> c = np.divide(a, b, out=np.zeros(a.shape, dtype=float), where=b!=0)
>>> print(c)
[ 0.   0.   0.   1.   1.5]

Source: stackoverflow.com

Prevent division by zero numpy

>>> a = np.array([-1, 0, 1, 2, 3], dtype=float)
>>> b = np.array([ 0, 0, 0, 2, 2], dtype=float)

# If you don't pass `out` the indices where (b == 0) will be uninitialized!
>>> c = np.divide(a, b, out=np.zeros_like(a), where=b!=0)
>>> print(c)
[ 0.   0.   0.   1.   1.5]

Source: stackoverflow.com

Similar codes

0 vote242 views1 answer
Set up splinter
Python
18 votes273 views3 answers
String Slices
Python
4 votes263 views2 answers
Usage of thread in python
Python
24 votes288 views6 answers
Python sort dictionary by key
Python
0 vote281 views1 answer
Django update request.post
Python
0 vote265 views1 answer
Matplotlib scatter increase marker size
Python
0 vote278 views1 answer
Python - from most_similar to ldictionary
Python
0 vote281 views1 answer
Torch.nn.Linear(in_features, out_features, bias=True) discription
Python
2 votes291 views3 answers
Change python version of a conda environment
Python
3 votes260 views2 answers
Numpy stdev
Python