Numpy numpy.resize() - Python Last Updated : 18 Nov, 2025 Comments Improve Suggest changes 5 Likes Like Report The numpy.resize() function is used to change the size of an existing NumPy array. It modifies the array permanently and adjusts its shape to the new dimensions. If the new shape requires more elements than available, NumPy repeats the array elements. If less space is required, elements are truncated.Example 1: This example resizes a 1D array of 6 elements into a 2×3 array. No values need repetition or truncation. Python import numpy as np arr = np.array([1, 2, 3, 4, 5, 6]) arr.resize((2, 3)) print(arr) Output[[1 2 3] [4 5 6]] Syntaxnumpy.resize(a, new_shape)Parameters:a: Input array to be resized.new_shape: Target shape (int or tuple).refcheck(optional): If True, checks whether the array is referenced elsewhere before resizing.Example 2: This example resizes a 6-element array into a 3×4 shape (12 elements needed). NumPy repeats the array elements to fill the new size. Python import numpy as np arr = np.array([1, 2, 3, 4, 5, 6]) arr.resize((3, 4)) print(arr) Output[[1 2 3 4] [5 6 0 0] [0 0 0 0]] Example 3: This example resizes an array into a 2×2 shape. Since fewer elements are required, the extra values are removed. Python import numpy as np arr = np.array([10, 20, 30, 40, 50]) arr.resize((2, 2)) print(arr) Output[[10 20] [30 40]] Create Quiz Comment J jitender_1998 Follow 5 Improve J jitender_1998 Follow 5 Improve Article Tags : Python Python-numpy 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