Effective way to remove None from a numpy array

Question

Is there an efficient way to remove Nones from numpy arrays and resize the array to its new size?

For example, how would you remove None from this frame without iterating through it in python. I can easily scroll through it, but worked on an api call, which could potentially be called many times.

a = np.array([1,45,23,23,1234,3432,-1232,-34,233,None]) 

Answer 1

 In [17]: a[a != np.array(None)] Out[17]: array([1, 45, 23, 23, 1234, 3432, -1232, -34, 233], dtype=object) 

The above works because a != np.array(None) is a boolean array that displays values ​​other than None:

 In [20]: a != np.array(None) Out[20]: array([ True, True, True, True, True, True, True, True, True, False], dtype=bool) 

Selecting array elements in this way is called boolean array indexing .