set_printoptions does not work with numpy structured arrays

I want to set the print precision for a numpy structured array, but it does not seem to work.

H = np.zeros(1, dtype=[('x','float',2),('f','float')])
H['x']= np.random.uniform(0,1,(1,2))
H['f']= np.random.uniform(0,1)
np.set_printoptions(precision=3)
print(H)

leaves

[([0.5928384015048476, 0.6187004067605606], 0.2981617279773586)]

not

[([0.593, 0.619], 0.298)]

as I expected. Printing H[‘x’] works (because that’s not a structured array), but I have many fields in my structured array and I don’t want to have to print each one when monitoring the progress of my code.

[eric-wieser]

Numpy has no concept of a “mixed” array, only of object arrays containing elements of unknown types. Your array would probably work better as a structured array (what this issue is actually about), because then numpy keeps track of the type of each column separately.

[michael135]

Thank you Eric!