numpy random int
np.random.randint(2, size=10) # Creates binary sample of size 10
np.random.randint(5, size=10) # Creates sample with 0-4 as values of size 10
np.random.randint(5, size=(2, 4))
numpy random int
np.random.randint(2, size=10) # Creates binary sample of size 10
np.random.randint(5, size=10) # Creates sample with 0-4 as values of size 10
np.random.randint(5, size=(2, 4))
create numpy table with random values in range
import numpy as np
# if the shape is not mentioned the output will just be a random integer in the given range
rand_int = np.random.randint(5,10)
print("First array", rand_int)
rand_int2 = np.random.randint(10,90,(4,5)) # random numpy array of shape (4,5)
print("Second array", rand_int2)
rand_int3 = np.random.randint(50,75,(2,2), dtype='int64')
print("Third array", rand_int3)
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