How can I avoid getting warning message when I execute the following code?
from numpy import inf
a = np.array([0.2,0.2,0.3])
b = np.array([0.3,0.0,0.1])
a = np.log10(a)
b = np.log10(b)
b[b == -inf] = 0
a[a == -inf] = 0
calc = a+b
The warning message received:
divide by zero encountered in log10
The code should yield the following result:
array([-1.22184875, -0.69897 , -1.52287875])
You can get rid of the message with np.seterr:
from numpy import inf
a = np.array([0.2,0.2,0.3])
b = np.array([0.3,0.0,0.1])
with np.seterr(divide = 'ignore'):
a = np.log10(a)
b = np.log10(b)
b[b == -inf] = 0
a[a == -inf] = 0
calc = a+b
If you want to not ever calculate log(0), you'll need to work around it as in the dupe target:
calc = np.zeros_like(a)
a_ = a.astype(bool) #False when 0
b_ = b.astype(bool)
np.add.at(calc, np.nonzero(a_), np.log10(a[a_]))
np.add.at(calc, np.nonzero(b_), np.log10(b[b_]))
Both of these only get rid of errors from a, b == 0 and not errors from a, b < 0
