On a numpy
array, why is it I can successfully use / 2
:
>>> a=np.array([2, 4, 6])
>>> a = a / 2
>>> a
array([ 1., 2., 3.])
But I cannot use a /= 2
?
>>> a=np.array([2, 4, 6])
>>> a /= 2
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: No loop matching the specified signature and casting
was found for ufunc true_divide
I've seen numpy Issue 6464, but don't understand from reading it and the linked release notes the reason this doesn't work.
Is there any way to get /=
to work as expected?
As pointed out in the comment, the change from int
(which is how a
is created) to float
(which is the result of /) is not allowed when using /=
. To "fix" this the dtype
of a
just has to be a float from the beginning:
a=np.array([2, 4, 6], dtype=np.float64)
a/=2
print(str(a))
>>>array([1., 2., 3.])