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
Get the Inner product of an array and a scalar in Python
To get the Inner product of an array and a scalar, use the numpy.inner() method in Python. Ordinary inner product of vectors for 1-D arrays, in higher dimensions a sum product over the last axes. The parameters are 1 and b, two vectors. If a and b are nonscalar, their last dimensions must match.
Steps
At first, import the required libraries-
import numpy as np
Create an array using numpy.eye(). This method returns a 2-D array with ones on the diagonal and zeros elsewhere −
arr = np.eye(5)
The val is the scalar −
val = 2
Check the datatype −
print("\nDatatype of Array...\n",arr.dtype)
Check the Dimension −
print("\nDimensions of Array...\n",arr.ndim)Check the Shape −
print("\nShape of Array...\n",arr.shape)To get the Outer product of an array and a scalar, use the numpy.outer() method in Python −
print("\nResult (Outer Product)...\n",np.outer(arr, val))To get the Inner product of an array and a scalar, use the numpy.inner() method in Python −
print("\nResult (Inner Product)...\n",np.inner(arr, val))
Example
import numpy as np
# Create an array using numpy.eye(). This method returns a 2-D array with ones on the diagonal and zeros elsewhere.
arr = np.eye(5)
# The val is the scalar
val = 2
# Display the array
print("Array...\n",arr)
# Check the datatype
print("\nDatatype of Array...\n",arr.dtype)
# Check the Dimension
print("\nDimensions of Array...\n",arr.ndim)
# Check the Shape
print("\nShape of Array...\n",arr.shape)
# To get the Inner product of an array and a scalar, use the numpy.inner() method in Python
print("\nResult (Inner Product)...\n",np.inner(arr, val))Output
Array... [[1. 0. 0. 0. 0.] [0. 1. 0. 0. 0.] [0. 0. 1. 0. 0.] [0. 0. 0. 1. 0.] [0. 0. 0. 0. 1.]] Datatype of Array... float64 Dimensions of Array... 2 Shape of Array... (5, 5) Result (Inner Product)... [[2. 0. 0. 0. 0.] [0. 2. 0. 0. 0.] [0. 0. 2. 0. 0.] [0. 0. 0. 2. 0.] [0. 0. 0. 0. 2.]]
Updated on: 25-Feb-2022
143 Views
Advertisements