What's the more pythonic way to pad an array with zeros at the end?
def pad(A, length):
...
A = np.array([1,2,3,4,5])
pad(A, 8) # expected : [1,2,3,4,5,0,0,0]
In my real use case, in fact I want to pad an array to the closest multiple of 1024. Ex: 1342 => 2048, 3000 => 3072
For your use case you can use resize() method:
A = np.array([1,2,3,4,5])
A.resize(8)
This resizes A in place. If there are refs to A numpy throws a vale error because the referenced value would be updated too. To allow this add refcheck=False option.
The documentation states that missing values will be 0:
Enlarging an array: as above, but missing entries are filled with zeros