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 modified Bessel function evaluated at each of the elements of x in Python
To return the modified Bessel function evaluated at each of the elements of x, use the numpy.io() method. The parameter x is an Argument of the Bessel function. The method returns the modified Bessel function evaluated at each of the elements of x.
Steps
At first, import the required libraries −
import numpy as np
Create an array using the array() method −
arr = np.array([10, 20, 30, 40, 50])
Display the array −
print("Array...
", arr)Get the type of the array −
print("
Our Array type...
", arr.dtype)
Get the dimensions of the Array −
print("
Our Array Dimension...
",arr.ndim)Get the shape of the Array −
print("
Our Array Shape...
",arr.shape)
To return the modified Bessel function evaluated at each of the elements of x, use the numpy.io() method −
print("Array...
", np.i0(arr))Example
import numpy as np
# Create an array using the array() method
arr = np.array([10, 20, 30, 40, 50])
# Display the array
print("Array...
", arr)
# Get the type of the array
print("
Our Array type...
", arr.dtype)
# Get the dimensions of the Array
print("
Our Array Dimension...
",arr.ndim)
# Get the shape of the Array
print("
Our Array Shape...
",arr.shape)
# To return the modified Bessel function evaluated at each of the elements of x, use the numpy.io() method
# The parameter x is an Argument of the Bessel function.
# The method returns the modified Bessel function evaluated at each of the elements of x.
print("Array...
", np.i0(arr))Output
Array... [10 20 30 40 50] Our Array type... int64 Our Array Dimension... 1 Our Array Shape... (5,) Array... [2.81571663e+03 4.35582826e+07 7.81672298e+11 1.48947748e+16 2.93255378e+20]
Updated on: 28-Feb-2022
181 Views
Advertisements