I want to add a copy of the first column as a new column at the end of the array, can someone explain the difference in dimentions of the error?

Question

b = np.concatenate((a, a[:,0]), axis=1)

ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 2 dimension(s) and the array at index 1 has 1 dimension(s)

I'm not sure if this is what you want to hear but `a[:,0]` is a 1-d array, not a 2-d array. Its shape is (n,), not (1,n). — mkrieger1, Mar 09 '22 at 17:47
Does this answer your question? [How to add an extra column to a NumPy array](https://stackoverflow.com/q/8486294/6045800) or [How to duplicate a row or column in a numpy array?](https://stackoverflow.com/q/43870647/6045800) — Tomerikoo, Mar 09 '22 at 17:55

score 0 · Answer 1 · answered Mar 09 '22 at 18:04

You have to use:

np.c_[a,a[:,0]]

otherwise you should reshape a[:,0] as:

np.concatenate((a,a[:,0].reshape(-1,1)), axis=1)

this because a[:,0] is a 1d array and you will not have a second axis (axis=1). This explains the error "the array at index 1 has 1 dimension(s)"

I want to add a copy of the first column as a new column at the end of the array, can someone explain the difference in dimentions of the error?

1 Answers1