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 vote186 views1 answer
Python setup install_requires local whl
Python
1 vote180 views1 answer
Data Compression in python
Python
1 vote174 views1 answer
Flask form errors
Python
3 votes191 views1 answer
Custom keyboard
Python
0 vote179 views1 answer
How to sum only the odd values in python
Python
7 votes183 views4 answers
How to use lambda function in python
Python
9 votes258 views3 answers
Create qr code python
Python
0 vote166 views1 answer
Create a DataFrame containing elements in a range
Python
0 vote218 views1 answer
Python list clear vs del
Python
9 votes257 views1 answer
Ardent
Python