python select random subset from numpy array
fruits = ['apple', 'banana', 'orange', 'grape']
subset_size = int(0.7 * len(fruits))
np.random.choice(fruits, subset_size, replace=False)
# array(['grape', 'banana'], dtype='<U6')python select random subset from numpy array
fruits = ['apple', 'banana', 'orange', 'grape']
subset_size = int(0.7 * len(fruits))
np.random.choice(fruits, subset_size, replace=False)
# array(['grape', 'banana'], dtype='<U6')random choice sampling numpy
>>> np.random.choice(5, 3, replace=False)
array([3,1,0])
>>> #This is equivalent to np.random.permutation(np.arange(5))[:3]Copyright © 2021 Codeinu
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