numpy.mat() Method with Example

Learn about the numpy.mat() method with its usage, syntax, and example. By Pranit Sharma Last updated : December 27, 2023

numpy.mat() Method

The numpy.mat() method interprets the given input as a matrix. It is equivalent to numpy.matrix(). It does not make a copy of the data if the data is already a matrix or a ndarray.

Syntax

numpy.mat(data, dtype=None)

Parameter(s)

  • data: Represents the input data of array_like type.
  • dtype: Represents the type of the output matrix.

Return Value

It returns data interpreted as a matrix.

Example of numpy.mat() method in Python

# Import numpy
import numpy as np

# Creating a numpy array
arr = np.array([[1, 2], [3, 4]])

# Display original array
print("Original Array:\n",arr,"\n")

# Creating a matrix using mat
res = np.mat(arr)

# Display result
arr[0,0] = 5
print("Result:\n",res)

Output

Example: numpy.mat() Method with Example

In this example, we have used the following Python basic topics that you should learn:

Python NumPy Programs »

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