在 Numpy 中创建数组,主对角线以下为 1,其他位置为 0
要创建数组,主对角线以下为 1,其他位置为 0,可以使用 Python Numpy 中的 numpy.tri() 方法。
第一个参数是数组的行数。
第二个参数是数组的列数。
第三个参数 'k' 是数组填充的次对角线及其下方。
k = 0 是主对角线,而 k < 0 在其下方,k > 0 在其上方。默认为 0。tri() 函数返回一个数组,其下三角形填充为 1,其他位置为 0;换句话说,当 j <= i + k 时,T[i,j] == 1,否则为 0。
步骤
首先,导入所需的库 -
import numpy as np
现在,使用 numpy.tri() 方法创建数组,主对角线以下为 1,其他位置为 0 -
arr = np.tri(4, 4, k = -1)
显示数组 -
print("Array...
",arr)
获取数据类型 -
print("
Array datatype...
",arr.dtype)
获取数组的维度:-
print("
Array Dimensions...
",arr.ndim)
获取数组的形状 -
print("
Our Array Shape...
",arr.shape)
获取数组的元素数量 -
print("
Elements in the Array...
",arr.size)
示例
import numpy as np # To create an array with ones below the main diagonal and zeros elsewhere, use the numpy.tri() method in Python Numpy # The 1st parameter is the number of rows in the array # The 2nd parameter is the number of columns in the array # The 3rd parameter 'k' is the sub-diagonal at and below which the array is filled. # The k = 0 is the main diagonal, while k < 0 is below it, and k > 0 is above. The default is 0. arr = np.tri(4, 4, k = -1) # Displaying our array print("Array...",arr) # Get the datatype print("Array datatype...",arr.dtype) # Get the dimensions of the Array print("Array Dimensions...",arr.ndim) # Get the shape of the Array print("Our Array Shape...",arr.shape) # Get the number of elements of the Array print("Elements in the Array...",arr.size)
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输出
Array... [[0. 0. 0. 0.] [1. 0. 0. 0.] [1. 1. 0. 0.] [1. 1. 1. 0.]] Array datatype... float64 Array Dimensions... 2 Our Array Shape... (4, 4) Elements in the Array... 16
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