用法及示例import numpy as np # 提取对角线元素 arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) diag_elements = np.diag(arr) print(diag_elements) # Output: [1 5 9] # 构造对角矩阵 diag_matrix = np.diag([1, 2, 3]) print(diag_matrix) # Output: # [[1 0 ...
Create a 8x8 matrix and fill it with a checkerboard pattern (★☆☆) 创建一个8*8矩阵,并用棋盘图案填充 import numpy as npz = np.zeros((8,8),dtype=int)z[1::2,::2] = 1 # 从第 2 行开始,每隔一行,第 0 列开始,每隔一列赋值为 1z[::2,1::2] = 1 # 从第 0 行开始,每隔一行,...
importnumpyasnp# create a matrixmatrix1 = np.array([[1,3], [5,7]])# get transpose of matrix1result = np.transpose(matrix1)print(result) Run Code Output [[1 5] [3 7]] Here, we have used thenp.transpose(matrix1)function to obtain the transpose ofmatrix1. Note: Alternatively, we...
array_of_diagonals : ndarrayIf`a`is2-D,thena1-D array containing the diagonalandofthe same typeas`a`isreturned unless `a`isa `matrix`,inwhichcasea1-D array rather than a (2-D) `matrix`isreturnedinordertomaintain backward compatibility.If``a.ndim >2``,thenthe dimensions specifiedby`axis...
在这个例子中,我们首先导入了numpy库,并将嵌套数组赋值给变量nested_list。然后,我们使用np.array函数将nested_list转换为numpy数组,并将结果赋值给变量matrix。最后,我们打印出matrix的值,即创建的numpy矩阵。 numpy矩阵是一个二维的、固定大小的数组,可以进行各种数学运算和操作。它在科学计算、数据分析和机器学习等领...
print b # Prints "[[ 1. 1.]]"c = np.full((2,2), 7) # Create a constant array print c # Prints "[[ 7. 7.] # [ 7. 7.]]"d = np.eye(2) # Create a 2x2 identity matrix print d # Prints "[[ 1. 0.] # [ 0. 1.]]"e = np.random.random((2,2)) # Create ...
#Findinverseofagivenmatrix >>>np.linalg.inv([[3,1],[2,4]]) array([[ 0.4, -0.1], [-0.2, 0.3]]) 5.数学计算 操作 举例: #If a 1d array is added to a 2d array (or the other way), NumPy #chooses the array with smaller dimension and ...
Write a NumPy program to create a 3x3 matrix with values ranging from 2 to 10. Sample Solution: Python Code: # Importing the NumPy library with an alias 'np'importnumpyasnp# Creating a NumPy array 'x' using arange() from 2 to 11 and reshaping it into a 3x3 matrixx=np.arange(2,11...
Is there a method that I can call to create a random orthonormal matrix in python? Possibly using numpy? Or is there a way to create a orthonormal matrix using multiple numpy methods? Thanks. 解决方案 This is the rvs method pulled from the https:///scipy/scipy/pull/5622/files, with min...
# Create a 1-dimensional array arr = np.array([1, 2, 3, 4, 5, 6]) # Reshape the array to a 2x3 matrix reshaped_arr = np.reshape(arr, (2, 3)) [[1 2 3] [4 5 6]] numpy.transpose:用于排列数组的维度。它返回一个轴调换后的新数组。 代码语言:javascript 代码运行次数:0 运行...