Find the number of rows and columns of a given matrix using NumPy
In the NumPy with the help of shape() function, we can find the number of rows and columns. In this function, we pass a matrix and it will return row and column number of the matrix.
Syntax:
shape()
Return: The number of rows and columns.
Example:
Python
import numpy as np matrix= np.arange(1,9).reshape((3, 3)) # Original matrixprint(matrix) # Number of rows and columns of the said matrixprint(matrix.shape) |
Output:
[[1 2 3] [4 5 6] [7 8 9]] (3,3)
Example :
Python
import numpy as np matrix= np.arange(10,15).reshape((3, 2)) # Original matrix:print(matrix) # Number of rows and columns of the said matrixprint(matrix.shape) |
Output
[[10 11] [12 13] [14 15]] (3,2)
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