I have used the
FeatureClassToNumPyArray tool in ArcPy, but the numpy array that is imported has only rows, with each of the fields in the original feature class as numpy.void type.
Here is a reproducible array.
b = np.array([(0,1),(1,1.5),(2,1.25),(3,1.28)],dtype=[('FID','<i4'),('Value','<f4')])
this returns a (4,) array, I want to reshape so that the array is (4,2) with the names 'FID' and 'Value', but can't quite figure out how to do this 'elegantly'.
I know that I can extract 'FID' and 'Value' as lists and then combine using np.array, but is that the best way to do it?
arr = np.array([b['FID'],b['Value']]).T