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