Skip to content

Courses
Tutorials
Practice
Contests

Numpy exercise
pandas
Matplotlib
Data visulisation
EDA
Machin Learning
Deep Learning
NLP
Data science
ML Tutorial
Computer Vision
ML project

numpy.interp() function - Python

numpy.iinfo() function – Python

Last Updated : 18 Jun, 2020

Comments

Improve

Suggest changes

Like Article

Like

Report

numpy.iinfo() function shows machine limits for integer types.

Syntax : numpy.iinfo(dtype)

Parameters :
dtype : [integer type, dtype, or instance] The kind of integer data type to get information about.
Return : Machine limits for integer types.

Code #1 :

   # Python program explaining 
# numpy.iinfo() function 
           
# importing numpy as geek  
import numpy as geek  
       
gfg = geek.iinfo(geek.int16) 
     
print (gfg)

Output :

  Machine parameters for int16  ---------------------------------------------------------------  min = -32768  max = 32767  ---------------------------------------------------------------

Code #2 :

   # Python program explaining 
# numpy.iinfo() function 
           
# importing numpy as geek  
import numpy as geek  
       
gfg = geek.iinfo(geek.int32) 
     
print (gfg)

Output :

  Machine parameters for int32  ---------------------------------------------------------------  min = -2147483648  max = 2147483647  ---------------------------------------------------------------

numpy.interp() function - Python

sanjoy_62

Improve

Article Tags :

Python
Python-numpy

Practice Tags :

python

Similar Reads

numpy.info() function in Python

In Numpy we can get all the information about the function, class, or module like what will the parameter and what will be the type of the return value with the help of numpy.info() function. This function returns the help information for a function, class, or module. Syntax: numpy.info(numpy.info(o

numpy.i0() function | Python

numpy.i0() function is the modified Bessel function of the first kind, order 0. it's usually denoted by I0. Syntax : numpy.i0(x) Parameters : x : [array_like, dtype float or complex] Argument of the Bessel function. Return : [ndarray, shape = x.shape, dtype = x.dtype] The modified Bessel function ev

numpy.imag() function - Python

numpy.imag() function return the imaginary part of the complex argument. Syntax : numpy.imag(arr) Parameters : arr : [array_like] Input array. Return : [ndarray or scalar] The imaginary component of the complex argument. If val is real, the type of val is used for the output. If val has complex elem

numpy.interp() function - Python

numpy.interp() function returns the one-dimensional piecewise linear interpolant to a function with given discrete data points (xp, fp), evaluated at x. Syntax : numpy.interp(x, xp, fp, left = None, right = None, period = None) Parameters : x : [array_like] The x-coordinates at which to evaluate the

numpy.isinf() in Python

The numpy.isinf() function tests element-wise whether it is +ve or -ve infinity or not return the result as a boolean array. Syntax: numpy.isinf(array [, out]) Parameters : array : [array_like]Input array or object whose elements, we need to test for infinity out : [ndarray, optional]Output array pl

numpy.mintypecode() function â€“ Python

numpy.mintypecode() function return the character for the minimum-size type to which given types can be safely cast. Syntax : numpy.mintypecode(typechars, typeset = 'GDFgdf', default = 'd') Parameters : typechars : [list of str or array_like] If a list of strings, each string should represent a dtyp

numpy.who function - Python

numpy.who() function print the NumPy arrays in the given dictionary. Syntax : numpy.who(vardict = None) Parameters : vardict : [dict, optional] A dictionary possibly containing ndarrays. Return : Returns â€˜Noneâ€™. If there is no dictionary passed in or vardict is None then returns NumPy arrays in the

numpy.dtype.kind() function â€“ Python

numpy.dtype.kind() function determine the character code by identifying the general kind of data. Syntax : numpy.dtype.kind(type) Parameters : type : [dtype] The input data-type. Return : Return the character code by identifying the general kind of data. Code #1 : # Python program explaining # numpy

numpy.matrix.A() function - Python

numpy.matrix.A() function return self as an ndarray object. Syntax : numpy.matrix.A() Parameters : None Return : [ndarray] Return self as an ndarray. Code #1 : # Python program explaining # numpy.matrix.A() function # importing numpy as geek import numpy as geek mat = geek.matrix(geek.arange(9).resh

Python | numpy.issctype() function

numpy.issctype() function is used to determine whether the given object represents a scalar data-type.If the given object represents a scalar data-type it returns true, otherwise it returns false. Syntax : numpy.issctype(rep) Parameters : rep : any input. Return : [bool] Boolean result of check whet

Corporate & Communications Address:

A-143, 7th Floor, Sovereign Corporate Tower, Sector- 136, Noida, Uttar Pradesh (201305)

Registered Address:

K 061, Tower K, Gulshan Vivante Apartment, Sector 137, Noida, Gautam Buddh Nagar, Uttar Pradesh, 201305

Advertise with us

Company
About Us
Legal
Privacy Policy
In Media
Contact Us
Advertise with us
GFG Corporate Solution
Placement Training Program

Languages
Python
Java
C++
PHP
GoLang
SQL
R Language
Android Tutorial
Tutorials Archive

DSA
Data Structures
Algorithms
DSA for Beginners
Basic DSA Problems
DSA Roadmap
Top 100 DSA Interview Problems
DSA Roadmap by Sandeep Jain
All Cheat Sheets

Data Science & ML
Data Science With Python
Data Science For Beginner
Machine Learning
ML Maths
Data Visualisation
Pandas
NumPy
NLP
Deep Learning

Web Technologies
HTML
CSS
JavaScript
TypeScript
ReactJS
NextJS
Bootstrap
Web Design

Python Tutorial
Python Programming Examples
Python Projects
Python Tkinter
Python Web Scraping
OpenCV Tutorial
Python Interview Question
Django

Computer Science
Operating Systems
Computer Network
Database Management System
Software Engineering
Digital Logic Design
Engineering Maths
Software Development
Software Testing

DevOps
Git
Linux
AWS
Docker
Kubernetes
Azure
GCP
DevOps Roadmap

System Design
High Level Design
Low Level Design
UML Diagrams
Interview Guide
Design Patterns
OOAD
System Design Bootcamp
Interview Questions

Inteview Preparation
Competitive Programming
Top DS or Algo for CP
Company-Wise Recruitment Process
Company-Wise Preparation
Aptitude Preparation
Puzzles

School Subjects
Mathematics
Physics
Chemistry
Biology
Social Science
English Grammar
Commerce
World GK

GeeksforGeeks Videos
DSA
Python
Java
C++
Web Development
Data Science
CS Subjects

@GeeksforGeeks, Sanchhaya Education Private Limited, All rights reserved

We use cookies to ensure you have the best browsing experience on our website. By using our site, you acknowledge that you have read and understood our Cookie Policy & Privacy Policy

Improvement

Suggest Changes

Help us improve. Share your suggestions to enhance the article. Contribute your expertise and make a difference in the GeeksforGeeks portal.

geeksforgeeks-suggest-icon

Create Improvement

Enhance the article with your expertise. Contribute to the GeeksforGeeks community and help create better learning resources for all.

geeksforgeeks-improvement-icon

Suggest Changes

min 4 words, max Words Limit:1000

Thank You!

Your suggestions are valuable to us.

What kind of Experience do you want to share?

Interview Experiences

Admission Experiences

Career Journeys

Work Experiences

Campus Experiences

Competitive Exam Experiences