numpy.vstack() in python Last Updated : 12 Jun, 2025 Comments Improve Suggest changes Like Article Like Report numpy.vstack() is a function in NumPy used to stack arrays vertically (row-wise). It takes a sequence of arrays as input and returns a single array by stacking them along the vertical axis (axis 0).Example: Vertical Stacking of 1D Arrays Using numpy.vstack() Python import numpy as geek a = geek.array([ 1, 2, 3] ) print ("1st Input array : \n", a) b = geek.array([ 4, 5, 6] ) print ("2nd Input array : \n", b) res = geek.vstack((a, b)) print ("Output vertically stacked array:\n ", res) Output1st Input array : [1 2 3] 2nd Input array : [4 5 6] Output vertically stacked array: [[1 2 3] [4 5 6]] The two 1D arrays a and b are stacked vertically using np.vstack(), combining them into a 2D array where each input array forms a row.Syntax numpy.vstack(tup) Parameters: tup: [sequence of ndarrays] Tuple containing arrays to be stacked. The arrays must have the same shape along all but the first axis. Return: [stacked ndarray] The stacked array of the input arrays.Vertical Stacking of 2D Arrays Using numpy.vstack() This code shows how to vertically stack two 2D arrays using numpy.vstack() resulting in a combined 2D array. Python import numpy as geek a = geek.array([[ 1, 2, 3], [ -1, -2, -3]] ) print ("1st Input array : \n", a) b = geek.array([[ 4, 5, 6], [ -4, -5, -6]] ) print ("2nd Input array : \n", b) res = geek.vstack((a, b)) print ("Output stacked array :\n ", res) Output1st Input array : [[ 1 2 3] [-1 -2 -3]] 2nd Input array : [[ 4 5 6] [-4 -5 -6]] Output stacked array : [[ 1 2 3] [-1 -2 -3] [ 4 5 6] [-4 -5 -6]] Two 2D arrays a and b are vertically stacked, creating a new 2D array where each original array becomes a set of rows in the resulting array. Comment More info J jana_sayantan Follow Improve Article Tags : Python Python-numpy Python numpy-arrayManipulation Explore Python FundamentalsPython Introduction 3 min read Input and Output in Python 4 min read Python Variables 5 min read Python Operators 5 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 7 min read Python Functions 5 min read Recursion in Python 6 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 5 min read Python Tuples 4 min read Dictionaries in Python 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 2 min read Python MySQL 9 min read Python Packages 12 min read Python Modules 7 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 6 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 15+ min read StatsModel Library- Tutorial 4 min read Learning Model Building in Scikit-learn 8 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 7 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 7 min read Python | Build a REST API using Flask 3 min read How to Create a basic API using Django Rest Framework ? 4 min read Python PracticePython Quiz 3 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like