How to merge two numpy arrays with same number of rows but different number of columns

Question

Given these two numpy arrays:

# Two 2-dim arrays with same row number but differnt column
a1 = np.array([[9,9,9,9], [9,9,9,9],[9,9,9,9]], dtype=np.int64)
a2 = np.array([[3],[3],[3]], dtype=np.int64)

How would one merge these to arrays two create a third array like the following:

# Third array with same row numbers as above two arrays but its column number is the sum of column numbers of the above two arrays
[[9,9,9,9,3],
 [9,9,9,9,3],
 [9,9,9,9,3]]

In simpler terms, how do you concatenate a column to a 2-dimensional array?

np.concatenate([a1,a2], 1)

Buckeye14Guy
– Buckeye14Guy

2020-02-28 19:46:49 +00:00
Commented Feb 28, 2020 at 19:46 — Buckeye14Guy
– Buckeye14Guy, Commented Feb 28, 2020 at 19:46

ofeks · Accepted Answer · 2020-02-28 19:50:21Z

1

import numpy as np

a1 = np.array([[9,9,9,9], [9,9,9,9],[9,9,9,9]])
a2 = np.array([[3],[3],[3]])
print(np.concatenate((a1, a2), axis=1))

https://docs.scipy.org/doc/numpy/reference/generated/numpy.concatenate.html

Join a sequence of arrays along an existing axis.

answered Feb 28, 2020 at 19:50

ofeks

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