[Numpy-discussion] Create 2D array from EXISTING 1D array

[Ruben Salvador]

Hi there!

It's a time since I'm asking this question to myself, and still don't know a
Pythonic way to solve it. I want to create a 2D array where each *row* is a
copy of an already existing 1D array. For example:

In [21]: a = np.array[1, 2, 3]
In [25]: a
Out[25]: array([1, 2, 3])

To create a 2D 'b' array, where each row is 'a', I would do:

In [28]: b = np.empty((5,3), np.int)

In [29]: for i in range(5):
....: b[i] = a
....:
....:

In [30]: b
Out[30]:
array([[1, 2, 3],
[1, 2, 3],
[1, 2, 3],
[1, 2, 3],
[1, 2, 3]])

I can't figure out how to create the same 2D array with np.array(), or
np.whatever(). It should be faster, cleaner...

Any idea?

Thanks
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