NumPy: mat() function
mat() function
The mat() function is used to interpret a given input as a matrix.
Unlike matrix, asmatrix does not make a copy if the input is already a matrix or an ndarray. Equivalent to matrix(data, copy=False).
Syntax:
numpy.mat(data, dtype=None)
Version: 1.15.0
| Name | Discription | Required / Optional |
|---|---|---|
| data | input data. | Required |
| dtype | Data-type of the output matrix. | optional |
Return value:
mat : matrix - data interpreted as a matrix.
Example-1: NumPy.mat() method
>>> import numpy as np
>>> a = np.array([[2,3], [4,5]])
>>>
>>> y = np.asmatrix(a)
>>>
>>> a[0,0] = 5
>>>
>>> y
matrix([[5, 3],
[4, 5]])
Pictorial Presentation:
Python - NumPy Code Editor:
- Weekly Trends
- Java Basic Programming Exercises
- SQL Subqueries
- Adventureworks Database Exercises
- C# Sharp Basic Exercises
- SQL COUNT() with distinct
- JavaScript String Exercises
- JavaScript HTML Form Validation
- Java Collection Exercises
- SQL COUNT() function
- SQL Inner Join
- JavaScript functions Exercises
- Python Tutorial
- Python Array Exercises
- SQL Cross Join
- C# Sharp Array Exercises