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

1 vote151 views2 answers
Boxplot show values seaborn
Python
1 vote140 views2 answers
Python dict dot notation
Python
0 vote146 views1 answer
Carnage
Python
8 votes155 views2 answers
Python iterate list reverse
Python
1 vote106 views1 answer
Sciket learn imputer code
Python
0 vote154 views2 answers
Python suppress print output from function
Python
0 vote167 views1 answer
Print treelib.Tree
Python
0 vote164 views2 answers
Create dictionary without removing duplicates from dataframe
Python
1 vote152 views1 answer
Python typing optional
Python
0 vote143 views1 answer
Iso date convert in python
Python