python numpy array padding issue

Question

I have a numpy array v with shape (1000, 68), v is supposed to padding to 100 dimension with 0s. As a result, the v's shape will be (1000, 100)

I tried to use the following approaches:

t = np.lib.pad(v, (16, 16), 'minimum') # numpy method

t = sequence.pad_sequences(v, maxlen = 100, padding = 'post') # Keras text processing method

Above two methods returned the t with correct shape (1000, 100), but each array t[n] (n from 0 to 99) is a zero vector [0, 0, 0, ....0]

user6655984 · Accepted Answer · 2016-12-04 17:48:21Z

1

Following numpy.pad documentation, I tried

np.pad(v, [(0,0), (16,16)], 'constant')

with the expected result: 16 columns of zeros added on the left, and 16 on the right.

answered Dec 4, 2016 at 17:48

user6655984

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1 Comment

I tried to use a for loop to pad each array literately, and it worked. But your method is faster.