42. Consider two random array A and B, check if they are equal (★★☆) 给定两个随机数组A和B,验证它们是否相等 A = np.random.randint(0,2,5) B = np.random.randint(0,2,5) # Assuming identical shape of the arrays and a tolerance
运行结果:45 42. Consider two random array A and B, check if they are equal (★★☆) 1arr1 = np.random.randint(0,2,4).reshape(2,2)2arr2 = np.random.randint(0,2,4).reshape(2,2)3print(arr1)4print(arr2)5print(np.allclose(arr1,arr2))6print(np.array_equal(arr1,arr2)) ...
print("Check\n", A * inverse) 结果是单位矩阵,如预期的那样: 代码语言:javascript 复制 Check [[ 1\. 0\. 0.] [ 0\. 1\. 0.] [ 0\. 0\. 1.]] 刚刚发生了什么? 我们用numpy.linalg包的inv()函数计算了矩阵的逆。 我们使用矩阵乘法检查了这是否确实是逆矩阵(请参见inversion.py): 代码语言...
Let’s generate a small one d array and check two things. 让我们生成一个小的一维数组并检查两件事。 First, if any of the entries are greater than 0.9,and second, if all of the entries are greater than or equal to 0.1. 首先,如果任何条目大于0.9,然后,如果所有条目都大于或等于0.1。 You ...
import numpy#it will compare the second value to each element in the vector# If the values are equal, the Python interpreter returns True; otherwise, it returns Falsevector = numpy.array([5, 10, 15, 20]) vector == 10 结果 array([False,True,False,False], dtype=bool) ...
42. Consider two random array A and B, check if they are equal >>A = np.random.randint(0,2,5) B = np.random.randint(0,2,5) # Assuming identical shape of the arrays and a tolerance for the comparison of values equal = np.allclose(A,B) ...
array2 = np.array(['C++','Python','Java'])# check if each element of the arrays is equalresult = np.char.equal(array1, array2)print(result)# Output: [False True False] Run Code Here,np.char.equal(array1, array2)checks whether the corresponding elements ofarray1andarray2are equal ...
Note: There are a lot of functions for changing the shapes of arrays in numpy flatten, ravel and also for rearranging the elements rot90, flip, fliplr, flipud etc. These fall under Intermediate to Advanced section of numpy.Exercise? Consider the following code:import numpy as nparr = np....
An array where all elements are equal to zero, except for the `k`-th diagonal, whose values are equal to one. See Also --- identity : (almost) equivalent function diag : diagonal 2-D array from a 1-D array specified by the user. Examples ...
# Declare a variable where we will store the input size of our model# It should be equal to the number of variables you haveinput_size = 1# Declare the output size of the model# It should be equal to the number...