Creating the Identity Matrix in Python
In linear algebra, an n-dimensional identity matrix is an n × n square matrix with 1s on the main diagonal and 0s elsewhere. This article explains how to NumPy
create an identity matrix using the Python programming language's library.
Creating the Identity Matrix in Python
NumPy
Is a Python programming language library for creating large multidimensional arrays and matrices. pip3 install numpy
Install NumPy
the library using the command to create the identity matrix.
The __data__ function of this library identity()
takes a number as an argument and returns an array with the identity of that number of rows and columns. You can optionally specify the data type of the output. It uses __data__ by default float
.
In the following example a integer
4x4 identity matrix with data type is created.
import numpy as np
matrix_int = np.identity(4, dtype=int)
print(matrix_int)
If dtype
the argument is not specified, the matrix is created using float
the data type.
import numpy as np
matrix_float = np.identity(4)
print(matrix_float)
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