numpy.ndarray.view() in Python Last Updated : 01 Mar, 2024 Comments Improve Suggest changes Like Article Like Report numpy.ndarray.view() helps to get a new view of array with the same data. Syntax: ndarray.view(dtype=None, type=None)Parameters: dtype : Data-type descriptor of the returned view, e.g., float32 or int16. The default, None, results in the view having the same data-type as a. type : Python type, optionalReturns : ndarray or matrix. Code #1: Python3 # Python program explaining # numpy.ndarray.view() function import numpy as geek a = geek.arange(10, dtype ='int16') print("a is: \n", a) # using view() method v = a.view('int32') print("\n After using view() with dtype = 'int32' a is : \n", a) v += 1 # addition of 1 to each element of v print("\n After using view() with dtype = 'int32' and adding 1 a is : \n", a) Outputa is: [0 1 2 3 4 5 6 7 8 9] After using view() with dtype = 'int32' a is : [0 1 2 3 4 5 6 7 8 9] After using view() with dtype = 'int32' and adding 1 a is : [1 1 3 3 5 5 7 7 9 9] Code #2: Python3 # Python program explaining # numpy.ndarray.view() function import numpy as geek a = geek.arange(10, dtype ='int16') print("a is:", a) # Using view() method v = a.view('int16') print("\n After using view() with dtype = 'int16' a is :\n", a) v += 1 # addition of 1 to each element of v print("\n After using view() with dtype = 'int16' and adding 1 a is : \n", a) Outputa is: [0 1 2 3 4 5 6 7 8 9] After using view() with dtype = 'int16' a is : [0 1 2 3 4 5 6 7 8 9] After using view() with dtype = 'int16' and adding 1 a is : [ 1 2 3 4 5 6 7 8 9 10] Code #3: Python3 import numpy as geek a = geek.arange(10, dtype ='int16') print("a is: \n", a) v = a.view('int8') print("\n After using view() with dtype = 'int8' a is : \n", a) v += 1 # addition of 1 to each element of v print("\n After using view() with dtype = 'int8' and adding 1 a is : \n", a) Output: a is: [0 1 2 3 4 5 6 7 8 9] After using view() with dtype = 'int8' a is : [0 1 2 3 4 5 6 7 8 9] After using view() with dtype = 'int8' and adding 1 a is : [257 258 259 260 261 262 263 264 265 266] Create Quiz Comment A ArkadipGhosh Follow 0 Improve A ArkadipGhosh Follow 0 Improve Article Tags : Python Python-numpy Python numpy-ndarray Explore Python FundamentalsPython Introduction 2 min read Input and Output in Python 4 min read Python Variables 4 min read Python Operators 4 min read Python Keywords 2 min read Python Data Types 8 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 5 min read Python Functions 5 min read Recursion in Python 4 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 4 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 3 min read Python MySQL 9 min read Python Packages 10 min read Python Modules 3 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 4 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 3 min read StatsModel Library - Tutorial 3 min read Learning Model Building in Scikit-learn 6 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 6 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 5 min read Build a REST API using Flask - Python 3 min read Building a Simple API with Django REST Framework 3 min read Python PracticePython Quiz 1 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like