np.fft2() method, we can get a two-dimensional Fourier transform using
np.fft2 () .
Return: Return a 2-D series of fourier transformation.
Example # 1:
In this example, we can see that using
np.fft2 ( ) , we can get a
np.fft2 () series of Fourier transforms using this method.
[[10 ... + 0.j 8.09016994 + 2.17962758j -3.09016994 + 9.23305061j
-3.09016994 - 9.23305061j 8.09016994 - 2.17962758j]
[40. + 0.j -5.85410197 + 0.j 0.85410197 + 0.j
0.85410197 + 0.j -5.85410197 + 0.j]]
Example # 2:
[[-17.6 + 0.j -1.1 - 9.6624249j -1.1 - 3.08018588j
-1.1 + 3.08018588j -1.1 + 9.6624249j]
[-6.6 + 0.j - 6.6 - 1.7149948j -6.6 - 29.97513624j
-6.6 + 29.97513624j -6.6 + 1.7149948j]]
90 SPECIFIC WAYS TO WRITE BETTER PYTHON. The Python programming language has unique strengths and charms that can be hard to grasp. Many programmers familiar with other languages often approach Pyt...
Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his immersive style, deep learning expert Andrew Trask shows you the hidden science so you can uncover every ...
Mark Lutz is the global leader in Python training, author of the oldest and best-selling Python texts, and a pioneer in the Python community since 1992.
Mark Lutz is the author of the found...
Python Data Science Handbook: Essential Tools for Working with Data - PDF, 1st Edition For many researchers, Python is a first-class tool, primarily because of its libraries for storing, manipulati...