np.random.rand()是NumPy库中的函数，用于生成在[0, 1)区间内均匀分布的随机数，可以接受多个整数参数，用于指定生成数组的形状。
- 生成一个随机标量：
import numpy as nprandom_scalar = np.random.rand()print(random_scalar)print(type(random_scalar))0.20409991617026446<class 'float'>- 生成一个一维随机数组：
random_array_1d = np.random.rand(5)print(random_array_1d)print(type(random_array_1d))[3.83063651e-01 3.37696745e-01 3.25521541e-04 1.02174830e-01 1.52260494e-01]<class 'numpy.ndarray'>- 生成一个二维随机数组：
random_array_2d = np.random.rand(3, 4)print(random_array_2d)print(type(random_array_2d))[[0.17820633 0.07469565 0.06193551 0.62990055] [0.70111109 0.40806394 0.4081677 0.22036044] [0.22977401 0.82057856 0.61116728 0.78780622]]<class 'numpy.ndarray'>- 生成一个多维随机数组：
random_array_3d = np.random.rand(2, 3, 4)print(random_array_3d)print(type(random_array_3d))[[[0.74992816 0.75239264 0.11692434 0.9777651 ] [0.59274321 0.18457437 0.17713543 0.76506547] [0.2457787 0.32004618 0.53218236 0.85916077]] [[0.926343 0.52791838 0.40831638 0.83245913] [0.17422364 0.09666104 0.24919322 0.50269557] [0.02559896 0.42326947 0.79123465 0.47684072]]]<class 'numpy.ndarray'>- 在其他区间生成随机数，例如，在[a, b)区间生成随机数：
a = 5b = 10random_array = a + (b-a) * np.random.rand(3, 4)print(random_array)[[5.36916413 7.84348256 7.30944149 9.38041737] [6.19994777 5.09849038 9.84603643 7.90837064] [5.78437168 6.75113295 5.81087402 6.28795399]]来源地址：https://blog.csdn.net/weixin_44992015/article/details/129800474
