Here is some Python code that allows you to read in SVG files and approximate their paths using a Fourier series.

Alexander

Last update: Jan 1, 2023

Related tags

File & Path Utilities Visualization-of-the-Fourier-series

Overview

Visualization of the Fourier series

Here is some Python code that allows you to read in SVG files and approximate their paths using a Fourier series. The Fourier series can be animated and visualized, the function can be output as a two dimensional vector for Desmos and there is a method to output the coefficients as LaTeX code.

Some example videos of the animations can be found under example_animations.

How to use the program

You will need the packages numpy, matplotlib.pyplot, matplotlib.animation, svgpathtools and scipy.optimize. The important settings can be done in the main function (file FourierMain.py) using the different variables (shortly explained in the code). If you want to read your own image, change the path for the SVG handler, for example handler = SVG_Handler("images/img13.svg"). Here images/img13.svg is the path relative to the FourierMain.py file.

How to create a usable SVG file

I used Inkscape to draw the images. I tested the program with the freehand pen (the result of which can be seen here, for example) and the Bézier tool. Since the Fourier series at discontinuity points is only (mostly) point convergent and no longer uniformly convergent, one should try to start the new path as close as possible to the end of the old path in the case of several lines. For the same reason, the start and end points of the complete image should be close together.

What do the internal equations look like?

It is mainly a set of complex polynomials (representations of mostly Bézier curves). These complex polynomials are then parameterized from $t=0$ to $t=1$ , depending on the setup, to represent a "partial curve". If we concatenates all partial curves together, we have a large parameterization, which can be normalized by means of the method _get_parameter_func() in the file svg_handler.py again also to a parameterization for $t\in [0, 1]$ .

Finding the Fourier coefficients

Once one has the parameterization of the function (which corresponds to the paths of "the image") $\gamma : [0, 1] \rightarrow \mathbb{C}$ , one can integrate over the complete function $c_k = \int_0^1 \gamma(t) \cdot e^{2\pi i k \cdot t} \,\text{d}t$ . Calculating this integral for $N$ coefficients ( $k = -N, ..., N$ ), the Fourier series is $f_N(x) = \sum_{-N}^N c_k e^{2\pi i k t}$ , which approximates the path of the SVG file. Based on the representation of the curves in the svgpathtools library, the image is now described by the two dimensional path $g(t) = \left(\begin{array}{l} \text{Re}(f_N(t)) \\ -\text{Im}(f_N(t)) \end{array}\right)$ for $t\in [0, 1]$ .

Animation of the "Fourier vector"

Sorting all coefficients by their absolute value and then appending the vectors $g(t)$ for each of the "partial sums $f_N$ " with the newly sorted summands, we have a nice looking path the Fourier series takes to approximate a point. If you do this for every single data point of the graph, all plotted one after the other result in the animation.

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Comments

Code comments in FourierMain.py are truncated

in FourierMain.py, the comment for line 97 says "number of fourier coefficients, will calculate from k=-N up to k=N, the more " and it looks like there was supposed to be a further explanation what happens when you increaset he value.

(It's "quite obvious" what it does, but this is a documentation report.)

opened by JoonasD6 1
Missing LICENSE

I see you have no LICENSE file for this project. The default is copyright.

I would suggest releasing the code under the GPL-3.0-or-later or AGPL-3.0-or-later license so that others are encouraged to contribute changes back to your project.

opened by TechnologyClassroom 1
Animation saving crashes the program

I tried many different parameters (only touching the values of 'save_video', 'plot_reverse', 'fourier_N', 'animation_time' and 'n_eval') with custom images and then I ran into a problem when I set save_video to 'True'. No video was saved (I checked the whole project directory and no text.mp4 was found with my contents), and when closing the animation window -- regardless of original svg (as I tried with the original unmodified parameters again) -- I get this in terminal:

950 of 1000 pointers calculated.

Calculation of data points from coefficients done.

Animation object created.

Begin saving the video.

Traceback (most recent call last):

File "\Visualization-of-the-Fourier-series\FourierMain.py", line 149, in main()

File "\Visualization-of-the-Fourier-series\FourierMain.py", line 144, in main anim.save('test.mp4', writer=writer)

File "C:\Python310\lib\site-packages\matplotlib\animation.py", line 1073, in save with mpl.rc_context({'savefig.bbox': None}), \

File "C:\Python310\lib\contextlib.py", line 135, in enter return next(self.gen)

File "C:\Python310\lib\site-packages\matplotlib\animation.py", line 234, in saving self.setup(fig, outfile, dpi, *args, **kwargs)

File "C:\Python310\lib\site-packages\matplotlib\animation.py", line 320, in setup self._w, self._h = self._adjust_frame_size()

File "C:\Python310\lib\site-packages\matplotlib\animation.py", line 309, in _adjust_frame_size self.fig.set_size_inches(w, h, forward=True)

File "C:\Python310\lib\site-packages\matplotlib\figure.py", line 2669, in set_size_inches manager.resize(*(size * self.dpi).astype(int))

File "C:\Python310\lib\site-packages\matplotlib\backends_backend_tk.py", line 461, in resize self.canvas._tkcanvas.configure(width=width, height=height)

File "C:\Python310\lib\tkinter_init_.py", line 1675, in configure return self._configure('configure', cnf, kw)

File "C:\Python310\lib\tkinter_init_.py", line 1665, in _configure self.tk.call(_flatten((self._w, cmd)) + self._options(cnf))

_tkinter.TclError: invalid command name ".!canvas"

So something goes wrong saving the video. I made sure latest ffmpeg is installedjust in case, noticing that is used for the video (although it was not in the readme instructions). Running fresh Python 3.10.1 on Windows 11 (both Python and ffmpeg isntalled via Chocolatey with default settings, then imported all packages mentioned in the readme with pip in order for the program to run).

opened by JoonasD6 2

Owner

Alexander

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Here is some Python code that allows you to read in SVG files and approximate their paths using a Fourier series.

Related tags

Overview

Visualization of the Fourier series

How to use the program

How to create a usable SVG file

What do the internal equations look like?

Finding the Fourier coefficients

Animation of the "Fourier vector"

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Comments

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Missing LICENSE

Animation saving crashes the program

Owner

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