numpy.atleast_2d() in Python Last Updated : 28 Nov, 2018 Comments Improve Suggest changes 2 Likes Like Report numpy.atleast_2d() function is used when we want to Convert inputs to arrays with at least two dimension. Scalar and 1-dimensional inputs are converted to 2-dimensional arrays, whilst higher-dimensional inputs are preserved. Syntax : numpy.atleast_2d(*arrays) Parameters : arrays1, arrays2, ... : [array_like] One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have two or more dimensions are preserved. Return : An array, or list of arrays, each with a.ndim >= 2. Copies are avoided where possible, and views with two or more dimensions are returned. Code #1 : Working Python # Python program explaining # numpy.atleast_2d() function import numpy as geek in_num = 10 print ("Input number : ", in_num) out_arr = geek.atleast_2d(in_num) print ("output 2d array from input number : ", out_arr) Output : Input number : 10 output 2d array from input number : [[10]] Code #2 : Working Python # Python program explaining # numpy.atleast_2d() function import numpy as geek my_list = [2, 6, 10], print ("Input list : ", my_list) out_arr = geek.atleast_2d(my_list) print ("output 2d array : ", out_arr) Output : Input list : ([2, 6, 10], ) output 2d array : [[ 2 6 10]] Code #3 : Working Python # Python program explaining # numpy.atleast_2d() function # when inputs are in high dimension import numpy as geek in_arr = geek.arange(9).reshape(3, 3) print ("Input array :\n ", in_arr) out_arr = geek.atleast_2d(in_arr) print ("output array :\n ", out_arr) print(in_arr is out_arr) Output : Input array : [[0 1 2] [3 4 5] [6 7 8]] output array : [[0 1 2] [3 4 5] [6 7 8]] True Create Quiz Comment J jana_sayantan Follow 2 Improve J jana_sayantan Follow 2 Improve Article Tags : Python Python-numpy Python numpy-arrayManipulation 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