My question is very simple, suppose that I have an array like
array = np.array([1, 2, 3, 4])
and I'd like to get an array like
[1, 0.5, 0.3333333, 0.25]
However, if you write something like
1/array
or
np.divide(1.0, array)
it won't work.
The only way I've found so far is to write something like:
print np.divide(np.ones_like(array)*1.0, array)
But I'm absolutely certains that there is a better way to do that. Does anyone have any idea?
1 / array
makes an integer division and returns array([1, 0, 0, 0])
.
1. / array
will cast the array to float and do the trick:
>>> array = np.array([1, 2, 3, 4])
>>> 1. / array
array([ 1. , 0.5 , 0.33333333, 0.25 ])