NumPy: numpy.mat() function

numpy.mat() function

The numpy.mat function is used to interpret the input as a matrix, and if necessary, convert it to a matrix. It returns a matrix from a string, nested sequence, or array-like object.


numpy.mat(data, dtype=None)
NumPy array: mat() function


Name Discription Required / Optional
data input data. Required
dtype Data-type of the output matrix. optional

Return value:

mat : matrix - data interpreted as a matrix.

Example: NumPy.mat() method

import numpy as np
# creating an array
arr = np.array([1, 2, 3, 4, 5, 6])
# implementing the mat() fucntion 
matrix = np.mat(arr, dtype = float)


[[1. 2. 3. 4. 5. 6.]]

Pictorial Presentation:

NumPy array: mat() function

Python - NumPy Code Editor:

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