[Python] Is there a simpler way to write this Numpy structured array query?

This Python 3.12 script

import numpy as np

a = np.array([('Rex', 9, 18), ('Fido', 3, 22), ('Fido', 7, 42), ('Fluffy', 1, 30), ('Fido', 5, 19)],
dtype=[('name', 'U10'), ('age', 'f4'), ('weight', 'f4')])

b = a[np.where((a['name'] == 'Fido') & (a['weight'] < 30))]
oldestFidoUnder30 = b[np.argmax(b['age'])]


looks for the oldest dog named Fido and weighing less than 30 units. Is there a simpler way to write this query? Would it be simpler or more readable with Pandas or another data frame library?

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