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

23 votes259 views6 answers
How to combine two lists in python
Python
0 vote161 views1 answer
Or operator in django queryset
Python
0 vote254 views1 answer
Pandas get row if difference previous
Python
-1 vote153 views1 answer
Http python lib
Python
29 votes207 views2 answers
Replace values of pandas column
Python
2 votes155 views1 answer
Input float python
Python
8 votes124 views1 answer
Python string indexof
Python
9 votes166 views4 answers
Df empty python
Python
5 votes163 views1 answer
Check django object exists
Python
5 votes149 views1 answer
Python hashtag function
Python