numpy.random.choice()函数用法与应用场景

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函数用法

Generates a random sample from a given 1-D array

import numpy
numpy.random.choice(100, 3)

输出：array([83, 80, 65])

numpy.random.choice([1,0.2,7,'c'],2)

输出：array(['c', '0.2'],
      dtype='|S32')

场景应用

ix = np.random.choice(np.arange(len(trainingdata)), batch_size)

img=[]

 for i in ix:

        img_array=cv2.imread()

       img.append(img_array)

减配版

numpy.random.randint(low, high=None, size=None, dtype='l')

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Return random integers from low (inclusive) to high (exclusive).