In this article, we will learn about the numpy.matrix() function, which is used to create a matrix from a given set of data. We will explore its parameters and understand how to use it with both string and array-like inputs.
numpy.matrix() Function:
The numpy.matrix() function is a class that allows us to create a specialized 2D array, which is known as a matrix. It takes a string of data or an array-like object as input and returns a matrix based on that data.
Parameters:
The numpy.matrix(data, dtype = None) function accepts the following parameters:
-
data : This parameter represents the data that needs to be provided as an array-like object or a string.
-
dtype : It is an optional parameter that specifies the data type of the array being returned.
Returns:
The numpy.matrix() function interprets the provided data and returns a matrix.
Example Code:
Now, let's look at an example to understand how to use the numpy.matrix() function.
# numpy.matrix class
import numpy as study
# string input
a = study.matrix('1 2 5 ; 3 4 6')
print("string input : \n", a, "\n")
# array-like input
b = study.matrix([[5, 6, 7], [4, 6, 6, 8]])
print("array-like input : \n", b)
Output :
After running the above code, we get the following output:
string input :
[[1 2 5]
[3 4 6]]
array-like input :
[[[5, 6, 7] [4, 6, 6, 8]]]
In the output, we can see the matrices created using the numpy.matrix() function. The first matrix is obtained from the string input, while the second matrix is obtained from the array-like input.
By using the numpy.matrix() function, we can easily create matrices from different types of input data, such as strings or arrays.
