python矩阵中插入矩阵
The rank of a Matrix is defined as the number of linearly independent columns present in a matrix. The number of linearly independent columns is always equal to the number of linearly independent rows. In this article, we are going to find Rank of a Matrix.
矩阵的等级定义为矩阵中存在的线性独立列的数量。 线性独立列的数量始终等于线性独立行的数量。 在本文中，我们将找到矩阵的等级 。
There is an inbuilt function defined in numpy.linalg package as shown below,
numpy.linalg包中定义了一个内置函数，如下所示，
rank = numpy.linalg.matrix_rank(a) Python代码查找矩阵的等级 (Python code to find rank of a matrix) # Linear Algebra Learning Sequence# Rank of a Matriximport numpy as npa = np.array([[4,5,8], [7,1,4], [5,5,5], [2,3,6]])rank = np.linalg.matrix_rank(a)print('Matrix : ', a)print('Rank of the given Matrix : ',rank)Output:
输出：
Matrix : [[4 5 8] [7 1 4] [5 5 5] [2 3 6]]Rank of the given Matrix : 3翻译自: https://www.includehelp.com/python/rank-of-a-matrix.aspx
python矩阵中插入矩阵