The idea is that there be a short-hand for creating arrays as there is for
matrices:
np.mat('.2 .7 .1; .3 .5 .2; .1 .1 .9')
It was suggested in GitHub issue #4817
<https://github.com/numpy/numpy/issues/4817> in light that it would be
beneficial to beginners and to presenters during demonstrations. In GitHub
pull request #484 <https://github.com/numpy/numpy/pull/4845>, I implemented
this as the np.arr function.
Does anyone have any feedback on the API details? Some examples from my
implementation follow.
>>> np.arr('3; 4; 5')
array([[3],
[4],
[5]])
>>> np.arr('3; 4; 5', dtype=float)
array([[ 3.],
[ 4.],
[ 5.]])
>>> np.arr('1 0 0; 0 1 0; 0 0 1')
array([[1, 0, 0],
[0, 1, 0],
[0, 0, 1]])
>>> np.arr('4, 5; 6, 7')
array([[4, 5],
[6, 7]])
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