custom_range=np.random.uniform(low=0.5,high=0.8,size=(2,2))print("Custom range random numbers for numpyarray.com:")print(custom_range) Python Copy Output: 这将生成一个2×2的数组,其中的数字都在0.5到0.8之间。 5.2 缩放和平移随机数 我们也可以通过缩放和平移0到1之间的随机数来达到同样的效果:...
类似的还有numpy.ones:创建一个都是1的数组 / numpy.empty:在不初始化数组元素的情况下创建数组。 使用numpy.random:生成随机数组的函数。 复制 # Generate a random integer between0and9rand_int=np.random.randint(10)print(rand_int) 1. 2. 3. numpy.linspace:在指定范围内生成均匀间隔的数字。 复制 # ...
BitGenerators: Objects that generate random numbers. These are typically unsigned integer words filled with sequences of either 32 or 64 random bits. Generators: Objects that transform sequences of random bits from a BitGenerator into sequences of numbers that follow a specific probability distributio...
numpy.random.rand:在区间[0,1]内从均匀分布生成随机数数组 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # Generate a 1-dimensional array of random numbers random_array = np.random.rand(5) [0.35463311 0.67659889 0.5865293 0.77127035 0.13949178] numpy.random.normal:从正态(高斯)分布生成随机数 ...
array, zeros, zeros_like, ones, ones_like, empty, empty_like, arange, linspace, numpy.random.Generator.rand, numpy.random.Generator.randn, fromfunction, fromfile 打印数组 当您打印一个数组时,NumPy 以类似嵌套列表的方式显示它,但布局如下: 最后一个轴从左到右打印, 倒数第二个从上到下打印, 其...
random_integers(low[, high, size]) 返回随机的整数,位于闭区间 [low, high]。 Notes To sample from N evenly spaced floating-point numbers between a and b, use: a + (b - a) * (np.random.random_integers(N) - 1) / (N - 1.) ...
使用numpy.random:生成随机数组的函数。 # Generate a random integer between 0 and 9 rand_int = np.random.randint(10) print(rand_int) numpy.linspace:在指定范围内生成均匀间隔的数字。 # Generate an array of 5 values from 0 to 10 (inclusive) ...
RandomState exposes a number of methods for generating random numbersdrawn from a variety of probability distributions. 使用示例 prng = np.random.RandomState(123456789) # 定义局部种子 prng.rand(2, 4) prng.chisquare (1, size= (2, 2)) # 卡方分布 ...
print("Random number between 0 and 1:", random_number) Output: Random number between 0 and 1: 0.683358279889759 Explanation: This generates a single random float value uniformly distributed between 0 (inclusive) and 1 (exclusive). Example 2: Generate random numbers in a specific range ...
array,zeros,zeros_like,ones,ones_like,empty,empty_like,arange,linspace,numpy.random.Generator.rand,numpy.random.Generator.randn,fromfunction,fromfile 打印数组 当您打印一个数组时,NumPy 以类似嵌套列表的方式显示它,但布局如下: 最后一个轴从左到右打印, ...