Is there a numpy function that pads an array this way?
import numpy as np
def pad(x, length):
tmp = np.zeros((length,))
tmp[:x.shape[0]] = x
return tmp
x = np.array([1,2,3])
print pad(x, 5)
Output:
[ 1. 2. 3. 0. 0.]
I couldn't find a way to do it with numpy.pad()
You can use ndarray.resize()
:
>>> x = np.array([1,2,3])
>>> x.resize(5)
>>> x
array([1, 2, 3, 0, 0])
Note that this functions behaves differently from numpy.resize()
, which pads with repeated copies of the array itself. (Consistency is for people who can't remember everything.)