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Determine if the type in the first argument is a subclass of second in Python
To determine if the type in the first argument is a subclass of second, use the numpy.issubsctype() method in Python numpy. The 1st and the 2nd argument are datatypes.
Steps
At first, import the required library −
import numpy as np
Using the issubsctype() method in Numpy. Checking whether the first argument is a subclass of the second argument −
print("Result...",np.issubsctype(np.float16, np.float32))
print("Result...",np.issubsctype(np.int32, np.signedinteger))
print("Result...",np.issubsctype('i4', np.signedinteger))
print("Result...",np.issubsctype('S8', str))
print("Result...",np.issubsctype(np.array([45, 89]), int))
print("Result...",np.issubsctype(np.array([5., 25., 40.]), float))Example
import numpy as np
# To determine if the type in the first argument is a subclass of second, use the numpy.issubsctype() method in Python numpy
# The 1st and the 2nd argument are datatypes
print("Using the issubsctype() method in Numpy\n")
# Checking whether the first argument is a subclass of the second argument
print("Result...",np.issubsctype(np.float16, np.float32))
print("Result...",np.issubsctype(np.int32, np.signedinteger))
print("Result...",np.issubsctype('i4', np.signedinteger))
print("Result...",np.issubsctype('S8', str))
print("Result...",np.issubsctype(np.array([45, 89]), int))
print("Result...",np.issubsctype(np.array([5., 25., 40.]), float))Output
Using the issubsctype() method in Numpy Result... False Result... True Result... True Result... False Result... True Result... True
Updated on: 24-Feb-2022
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