[FIXED] How to convert an object array to a normal array in python

Issue

I have an object array which looks something like this

array([array([[2.4567]],dtype=object), array([[3.4567]],dtype=object), array([[4.4567]],dtype=object), array([[5.4567]],dtype=object) ... array([[6.4567]],dtype=object))

This is just an example, actual one is much bigger.

So, how do I convert this into a normal floating value numpy array.

Solution

Use numpy.concatenate:

>>> arr = array([array([[2.4567]],dtype=object),array([[3.4567]],dtype=object),array([[4.4567]],dtype=object),array([[5.4567]],dtype=object),array([[6.4567]], dtype=object)])
>>> np.concatenate(arr).astype(None)
array([[ 2.4567],
       [ 3.4567],
       [ 4.4567],
       [ 5.4567],
       [ 6.4567]])

Answered By - Ashwini Chaudhary