I have a NumPy array (of length X) of arrays, all of which are of the same length (Y), but which has type "object" and thus has dimension (X,). I would like to "convert" this into an array of dimension (X, Y) with the type of the elements of the member arrays ("float").
The only way I can see to do this is "manually" with something like
[x for x in my_array]
Is there a better idiom for accomplishing this "conversion"?
For example I have something like:
array([array([ 0., 0., 1., 0., 0., 0., 0., 0., 0., 0.]),
array([ 0., 1., 0., 0., 0., 0., 0., 0., 0., 0.]),
array([ 0., 0., 1., 0., 0., 0., 0., 0., 0., 0.]), ...,
array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.]),
array([ 0., 0., 0., 0., 0., 0., 0., 1., 0., 0.]),
array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.])], dtype=object)
which has shape (X,) rather than (X, 10).