importnumpyasnp# 设置随机种子np.random.seed(42)# 生成随机整数random_int=np.random.randint(0,100)print("Random integer from numpyarray.com with seed:",random_int) Python Copy Output: 在这个例子中,我们设置了随机种子为42。每次运行这段代码时,都会生成相同的”随机”整数。 5. 生成特定分布的随机...
使用numpy.random.random_integers()生成随机的n维整数数组。 importnumpy random_integer_array = numpy.random.random_integers(1,10,5)print("1-dimensional random integer array \n", random_integer_array,"\n") random_integer_array = numpy.random.random_integers(1,10, size=(3,2))print("2-dimensi...
random_array = np.random.randn(3, 2) print(random_array) 这将生成一个3行2列的二维数组,每个元素都是从标准正态分布中抽取的随机数。除了标准正态分布,你还可以使用np.random.randn生成其他类型的数据,如整数或字符串等。例如: 生成指定范围内的随机整数: import numpy as np random_integer = np.random...
Numpy’s random number routines produce pseudo random numbers using combinations of aBitGeneratorto create sequences and aGeneratorto use those sequences to samplefrom different statistical distributions: BitGenerators: Objects that generate random numbers. These are typically unsigned integer words filled ...
importnumpyasnp# Set the seednp.random.seed(42)# Generate random integerrandom_integer = np.random.randint(0,10)print("Random integer:", random_integer)# Output will always be 6 with this seed# Generate random arrayrandom_array = np.random.rand(3)print("Random array:", random_array)# ...
print("Random integer is", random.randint(0, 9))random.randrange(start, stop [, step])此函数从中返回随机选择的整数range(start, stop, step)。使⽤此函数可⽣成范围内的随机整数。例如，random.randrange(2, 20, 2)将返回2到20之间的任意随机数，例如2、4、6，…18。import random print("Random...
NumPy's random module can also be used to generate an array of random numbers. For example, importnumpyasnp# generate 1D array of 5 random integers between 0 and 9integer_array = np.random.randint(0,10,5)print("1D Random Integer Array:\n",integer_array)# generate 1D array of 5 rando...
numpy.random.rand(d0, d1, ..., dn)# 以参数列表的形式指定参数,而非元组# 内部指定区间为[0., 1.)>>> np.random.rand(2, 2)array([[ 0.9978749 , 0.43597209],[ 0.30804578, 0.9632462 ]])>>> np.random.rand((2, 2))TypeError: an integer is required...
import numpy as np # 生成10个在[0, 5)区间内的随机整数 random_integers = np.random.randint(0, 5, size=10) print(random_integers) # 生成一个3x4的数组,元素在[0, 5)区间内 random_integer_array = np.random.randint(0, 5, size=(3, 4)) print(random_integer_array) 2. 生成指定区间的...
Understanding the NumPy Pseudo-Random Number Generator Generating Random Data With the NumPy Random Number Generator Random Numbers Random Floating-Point Numbers Random Integer Numbers Random NumPy Arrays Randomizing Existing NumPy Arrays Selecting Array Elements Randomly Selecting Rows and Columns Randomly Shu...