Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Return the Norm of the matrix or vector in Linear Algebra and also set the order in Python
To return the Norm of the matrix or vector in Linear Algebra, use the LA.norm() method in Python Numpy. The 1st parameter, x is an input array. If axis is None, x must be 1-D or 2-D, unless ord is None. If both axis and ord are None, the 2-norm of x.ravel will be returned.
The 2nd parameter, ord is the order of the norm. The inf means numpy’s inf object. The default is None. The 3rd parameter axis, if an integer, specifies the axis of x along which to compute the vector norms. If axis is a 2-tuple, it specifies the axes that hold 2-D matrices, and the matrix norms of these matrices are computed. If axis is None then either a vector norm (when x is 1-D) or a matrix norm (when x is 2-D) is returned. The default is None.
The 4th parameter, keepdims, if set to True, the axes which are normed over are left in the result as dimensions with size one. With this option the result will broadcast correctly against the original x.
Steps
At first, import the required library −
import numpy as np from numpy import linalg as LA
Create an array −
arr = np.array([[ 1, 2, 4], [-1, 2, 4]])
Display the array −
print("Our Array...\n",arr)Check the Dimensions −
print("\nDimensions of our Array...\n",arr.ndim)Get the Datatype −
print("\nDatatype of our Array object...\n",arr.dtype)Get the Shape −
print("\nShape of our Array object...\n",arr.shape)To return the Norm of the matrix or vector in Linear Algebra, use the LA.norm() method in Python Numpy −
print("\nResult...\n",LA.norm(arr, ord=1, axis=1))Example
import numpy as np
from numpy import linalg as LA
# Create an array
arr = np.array([[ 1, 2, 4], [-1, 2, 4]])
# Display the array
print("Our Array...\n",arr)
# Check the Dimensions
print("\nDimensions of our Array...\n",arr.ndim)
# Get the Datatype
print("\nDatatype of our Array object...\n",arr.dtype)
# Get the Shape
print("\nShape of our Array object...\n",arr.shape)
# To return the Norm of the matrix or vector in Linear Algebra, use the LA.norm() method in Python Numpy
print("\nResult...\n",LA.norm(arr, ord=1, axis=1))Output
Our Array... [[ 1 2 4] [-1 2 4]] Dimensions of our Array... 2 Datatype of our Array object... int64 Shape of our Array object... (2, 3) Result... [7. 7.]
165 Views
