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numpy.mat() Method with Example

Learn about the numpy.mat() method with its usage, syntax, and example.
Submitted by Pranit Sharma, on March 21, 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

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