Python | Numpy np.ifft2() method Last Updated : 21 Nov, 2019 Comments Improve Suggest changes Like Article Like Report With the help of np.ifft2() method, we can get the 2-D Inverse Fourier Transform by using np.ifft2() method. Syntax : np.fft2(Array) Return : Return a 2-D series of inverse fourier transformation. Example #1 : In this example we can see that by using np.ifft2() method, we are able to get the 2-D series of inverse fourier transformation by using this method. Python3 1=1 # import numpy import numpy as np a = np.array([[5, 4, 6, 3, 7], [-1, -3, -4, -7, 0]]) # using np.ifft2() method gfg = np.fft.ifft2(a) print(gfg) Output : [[ 1. +0.j 0.80901699-0.21796276j -0.30901699-0.92330506j -0.30901699+0.92330506j 0.80901699+0.21796276j] [ 4. +0.j -0.5854102 +0.j 0.0854102 +0.j 0.0854102 +0.j -0.5854102 +0.j ]] Example #2 : Python3 1=1 # import numpy import numpy as np a = np.array([[-5.5, 4.4, -6.6, 3.3, -7.7], [1.1, -3.3, 4.4, -7.7, 0]]) # using np.ifft2() method gfg = np.fft.ifft2(a) print(gfg) Output : [[-1.76+0.j -0.11+0.96624249j -0.11+0.30801859j -0.11-0.30801859j -0.11-0.96624249j] [-0.66+0.j -0.66+0.17149948j -0.66+2.99751362j -0.66-2.99751362j -0.66-0.17149948j]] Create Quiz Comment J jitender_1998 Follow 0 Improve J jitender_1998 Follow 0 Improve Article Tags : Python Python-numpy Python numpy-Matrix Function 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