Rank of a Matrix

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1. Rank of a Matrix
1.1. Find Rank of a Matrix using “matrix_rank” method of “linalg” module of numpy.
1.1.1. Related Resources:

  • Find  Rank of a Matrix using “matrix_rank” method of “linalg” module of numpy.

  • Rank of a matrix is an important concept and can give us valuable insights about matrix and its behavior.

# Imports
import numpy as np

# Let's create a square matrix (NxN matrix)
mx = np.array([[1,1,1],[0,1,2],[1,5,3]])
mx 

array([[1, 1, 1],
       [0, 1, 2],
       [1, 5, 3]])
# Let's get rank of matrix 
np.linalg.matrix_rank(mx)

3

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