Curve Fitting in Python (2022)

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[mikhailbandurist]

That's the scientific channel that we need. Good sound (which is the most important), good picture, Chad-looking science guy (in movies smart people are often nerds with big glasses) and a good explanation - this is really nice! Thank you for video!

[hakansert]

Sometimes one may both know coding and physics but it becomes really exhausting to combine them together; you may not able to know where to start... You are directly attacking to that tricky intersection perfectly and that is exactly what is needed for lots of science students/academics!

I just personally wanted to thank you for such great videos as a PhD student in physics who had worked with paper and pen for years but needed numerical computation eventually. Your videos are awesome and very informing! I hope you keep going.

[crazyclown]

Two weeks ago I had a physics assignment involving this method, which was a absolute disaster. This is why I should watch your videos as soon as they show up. Anyway, Thanks for the amazing job!

[pythonscientists]

Nice! Note that (in 19:40) you need to set absolute_sigma=True to get the absolute value errors on the parameters. A good example is using the known formulas to calculate the error on the parameters (A, B) of a strait line fit and compare with the results returning with absolute_sigma=False e absolute_sigma=True.

[vadympasko]

Absolutely love this intro to SciPy's 'curve_fit' function! Suggest you to make a video on spline fitting, which is included into SciPy's 'interpolate' module. With splines it is possible to find best fit to a really complex data, including those presented in this tutorial.

[heera_ai]

Your initial guess was good enough 😂, great tutorial!

[otaviooliveira]

The kind of detailed explanation i needed! The examples nailed it! Thanks a lot :)

[moona]

Great video. Especially focusing and repeating multiple times that our goal is the parameters and not just having a good fit! Parameters = Context = Reason why we're doing the fit

[MrAman]

Great video, just a little correction, as the physicist in me is happy to show himself every now and then: It's actually Lennard-Jones potential, sometimes also called Van der Waals potentials (dipole-dipole potential) big brother. I don't think there's a thing called Leonard-Weibeck potential reguarding atomic repulsion, but if there is and it's related to the LJ potential, let me know!

[rainycloud]

This is exactly the tutorial I needed given I had to perform many counting experiments . I wish I had found this channel sooner before going insane over tutorials that made zero sense to me.

[alejandraacosta]

Wow! You explain very clearly! I was fighting with my code since I did not understand how to work with curve_fit and you fell out of the sky! Thank you so much!

[RutgerHaan]

Thanks a lot! This was a really thorough explanation which gave me everything I need to plot my data in a nice way :) Keep it up!

[nathan]

Hi, first off EXCELLENT VIDEO THANK YOU SO MUCH
Just for those who need this video, there are a couple of clarifications (sorry if you made them and I didnt notice), but its popt, pcov = scipy.optimize.curve_fit

not just curve_fit () . Unless you made a shortcut beforehand

Other than that, thank you again so much help !

[j.abrahamhernandez]

dude your videos rock, i love the no-nonsense type of attitude when tackling things, cheers! (;

[maplesyrum]

This is excellent content. Clearly explained a problem I've been having trouble grasping for months. Thanks!

[swatibhargava]

Super helpful and so nicely explained! Thank you so much for making this video! The multiple examples helped me a lot and in fact covered what I was as looking for!

[nothingisreal]

Like 25 years ago i wrote code to fit multiple gauss function to some spectrum comming from Cherenkov radiation emitted from cristals. Those days everythibg had to be done in C/C++. I use the "Numerical recipies in C" book and lib and the Marquard Levenberg algorithm. Took 3 weeks to progam that (including some GUI and other stuff). Today with Scipy maybe one or two days... Some stuff actually get's better.

[siddharthpachpor]

superb video with respect to physics and maths! Best application based explanation. Period. Please I request you to post such concepts with such physics based applications visualisation. I just feel blessed. Thanks a lot. tons

[laurenceturpin]

Thank you for making this video I particularly liked that you gave more than one example.

[Bored_Trumpet]

Was expecting a good description of what's going on with the curve-fitting functions, albeit with boring data. But actually I found exactly what I was looking for. Trying to get the photopeaks and their resolutions in a similar spectroscopy. Also the walking through cell-by-cell helps for digestion. Used to begrudingly use python, but after a semester I much more prefer it over finicky excel sheets.