使用numpy的random.randint()函数可以生成元素随机的某一尺寸的矩阵: #randint 即 random integer 随机整数
importnumpyasnp# 生成一个0到10之间的随机整数random_int=np.random.randint(0,10)print(random_int)# 输出结果例如:5 Python Copy Output: 示例代码2:生成一个随机整数数组 importnumpyasnp# 生成一个形状为(3, 2)的随机整数数组,取值范围是0到10random_array=np.random.randint(0,10,size=(3,2))print...
5,7],10)array([9,8,7])# randomGeneratea2by4arrayusingbroadcastingwithdtypeofuint8np.random.randint([1,3,5,7],[[10],[20]],dtype=np.uint8)array([[8,6,9,7],# random[1,16,9,12]],dtype=
numpy.array(object,dtype=None,copy=True,order=‘K’,subok=False,ndmin=0) 数组的创建 (1)一维数组的创建 import numpy as np arr1 = np.array([1,2,3,4]) print(arr1) # 结果: [1 2 3 4] print(type(arr1)) # 结果: <class 'numpy.ndarray'> 1. 2. 3. 4. 5. 6. 7. 8. (2)...
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) ...
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) ...
importnumpyasnp# 生成一个0到9之间的随机整数random_int=np.random.randint(10)print(f"Random integer from numpyarray.com:{random_int}")# 生成一个5x5的随机整数数组,范围在1到100之间random_array=np.random.randint(1,101,size=(5,5))print(f"Random integer array from numpyarray.com:\n{random_...
import numpy.random as npr rng=npr.default_rng() size=(3,4) C=rng.uniform(4,7,size) print(f"{C=}") 1. 2. 3. 4. 5. C=array([[6.0436931 , 5.63331156, 6.11905388, 5.77916688], [5.6442441 , 5.61249485, 6.79054321, 6.7742957 ], ...
Return random integers from the “discrete uniform” distribution of the specified dtype in the “half-open” interval [low,high). Ifhighis None (the default), then results are from [0,low). numpy.ndarray.astype#Copy of the array, cast to a specified type. ...
>>> a = np.ones((2,3), dtype = int)>>> aarray([[1, 1, 1], [1, 1, 1]])>>> b = np.random.random((2,3))>>> barray([[0.27020018, 0.16904478, 0.29618462], [0.45432616, 0.99311013, 0.56769309]])>>> a *=3>>> aarray([[3, 3, 3], [3, 3, 3]])>>> b +=3>...