Thank you Great work 👌👏👍💯

This is a very useful script for doing FFT using SciPy and as far as I can tell it works well for sine wave signals. For DC it's another story. It does not appear to do DC correctly. To check for yourself, put in a sine wave where x = 1 * np.sin(2 * np.pi * f * t) + 2. The + 2 on the end is the DC component. It will plot correctly at 0 Hz however the amplitude will be 4 instead of 2.

For the new viewers in the 28th line use int(n/2) than n/2 . Otherwise it will give float error

It would have been nicer if you could also explain at each step what you are doing and why, and this could be a great tutorial.

I like your presentation style, topic here. Your web site looks great also. I do see a few errors in your video during the first 6 minute segment: line 23 has title('...') instead of plt.title('...') for testing purposes you probably need to add a plt.show() to get the actual plot to show up as well PS: I love the video and presentation.

Nice video,could you do an extended version where you read data from a CSV file, instead of creating a sine wave.it would be really helpfull

Very useful. Thanks

do you know how to find frequency spectrum for upsampling and down sampling

hello, I didn't understand why you used an absolute value with the fat. Can you explain me please 🙏🏽

MAGNIFICENT

excelent video!

i love indians!

hello, thanks for the video, how can we analyze an unknown sinusoidal signal with the fft to extract its frequency

Dear Sachin, thank you for awesome video. I was wondering how one could adapt the frequency of the analysis for other time series. For example, assuming that I had a time-series that each sample is in fact a monthly average of a given data. Could I apply your code the same way, just altering the Hertz to 1/month in the plots legend?

I like your presentation.It's very good but I see and feel little bit confused in line (28)th i.e. fr=(Fs/2)*np.linspace(0,1,n/2).It shows Name error: name 'np' is not defined. and type error: Object of type "class float" cannot be safely interpreted as an integer. How can solve it? Give suggestions.

I am trying my first steps in Python, but stack on first part of the program generating frequency. Got error message: " File "D:/000_anaconda/Python_tests/first.py", line 17, in t = np.arange(0,1,1/Fs) ZeroDivisionError: division by zero" Can you help me please? What is wrong?

Thankyou so much !!

Thank you so much bro §!

Let's say I have an audio signal and I got its FFT and graphed it. It contains multiple peaks with different amplitudes. How can I get the distinct peaks of such signal, let's say the top three or four?

If we want spectrum of signal in -pi to pi interval what should be the code??

Hi Can you add some more code for FFT to PSD curve

Is there a time efficent way to convert it back again?

I suggest using a different logo, the schwasticka is offensive.

You made a useful video - of this there is no doubt. But I would respectfully note that people seeking your video in fact AREN'T "masters of FFT" , but rather more likely NEW to FFT even as they are ALSO NEW to implementing FFT in PYTHON CODE. YOU made NUMEROUS assumptions about the familiaroty of your audience with FFT - almost TRIVIALIZING the key concepts when it would have been far more useful if you had EXPLAINED them rather GLOSS OVER them. In so doung you come off as merely someone "regurgitated" theory that was (clearly) BEATEN into your head as a STUDENT (without actually taking time to actually UNDERSTAND IT), so that now as a TEACHER of it, you can now only "regurgitate" those beatings in an effort to appear knowledgeable. IF instead you had understood your audience, and actually EXPLAINED these key concepts rsrher than trivialize & gloss over them, you would have come a ross as truly understanding what you're discussing. Instead you simpky come off as full of yourself...but NOT truly understanding the concepts you're treating - only MEMORIZING them. This is typical for "experts" from some cultures, and is indicative of the memorization-is-equivalent-to-understanding philosophy... but sadly this ISN'T avalid conept. Memorizing ISN'T understanding; if it WERE, then PARROTS would actually BE college professors ;-) I think you have it in you to make truly GREAT videos. You simpky have to CHALLENGE yourself to UNDERSTAND the kind of audience that would go SEEKING this kind of video... then STOP TALKING OVER THEIR HEADS on the key concepts intrinsic to your video, and instead demonstrate true mastery of your topic by EXLKAING these key topics rather than "regurgitate" defi itiokns your own professors (clearly) best into you. You are a product of your educational system...but you CAN be MORE than that... Thank you nonetheless for at keast regurgitating someone else's python code; this WAS what I was seeking; luckily I can read the explanation elsewherw from someone who understands it SO well they can actually EXPLAIN it, and not regurgitate some old professor's lectur notes... KEEP TRYING - I BELIEVE IN YOU!

Why is there a big fat swastika in the logo? Don't tell me it's an ancient sun symbol...

Does anyone know why the Nazi swastika? :(