How to: Import, Plot, Fit, and Integrate Data in Python

Correction: In "curve_fit", the bounds should be bounds for fitting the desired parameter (e.g. popt must lie in this range). This bound has nothing to do with the xdata!

That's an awesome tutorial. It was so easy to understand the codes. Great work!!

gracias maestro

Cool video. This I like a lot. Thanks for the helpful instructions.

thank you, this is an awesome primer.

thanks, very clear explination and was also interesting to see spyder used for investigation rather than jupyter lab

i dont found de CSV ?

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Thank you

Excellent video, am now a subscriber. Two questions of practical important for many of your students. First, how to modify the curve_fit command to perform the regression using robust treatment of errors? Am performing analysis where distances are the dependent variable, and we all know that the errors of far distant objects are sometimes best treated as relatively unimportant. Second, need to display the standard deviations of the parameters - how best to do this?

Nice tutorial. Thank you. I was wondering if there is any inbuilt library available in python to get the uncertainty in integration due to the uncertainty in the fit parameters.

I love the simple but very instructive way of presentation in your videos. I want to know if you run online tutorial classes for python in spyder IDE for beginners like myself so interested persons can register and be taught...I am really interested if you do such. keep it up. cheers!

Great video on curve fitting!

I love you so much rn

Great stuff. Basic, simple and practical. Why is there so little of the Python videos here like this.

Thank you for the tutorial. Can it still work without using spyder. Using python IDLE?

the man right here, wish I could thumbs up more than once, already tried a few times

Nice video, but how can I subtract the set of my data points to the points in the curve line?

This guys definitely a compartmentalizer hahahaha

Thanks for this tutorial! I have a project that requires the integration of an acceleration data set twice two get position, however, I was wondering how to go about plotting the integrated curve of acceleration to get velocity and the integrated curve of velocity to get position. Would you be able to provide any insight on this please?

Can you explain about libraries for to do integrations from data files? and for example, How to do adaptative integration?

amazing teaching skills! thanks!

Thank you
I have two question
1. How to add errors in experimental data i.e . We will have three columns x, y and yerror.
2. If we have many observations for same experiment with error in each set . How to show all plots one panel.

Thank uu Thank uuu Thankk uuu.!!! Just Thank uu❤️

@HagesLab, thank a lot and wonderful tutorial, it will be more interesting and disrupt if you do reverse engineering (from image/graph image, extract data points to .csv)

Thank you so much, your videos are useful as hell... i think you saved me a whole day of work =D

You should make your screen larger, or the display larger to see

Excellent video, helped me a lot. One question, how I can obtain a equation from a set of data? I imported my initial data and made some operations to obtain a new dataframe, but I'm struggling in obtaining a equation that could define it. Thanks

thank you so much.

Thank you for this, I was looking for a curve fit algo and didn't know scipy had one :) Also you go straight to the point, much appreciated !

I completely despise how you say "data", it makes me want to cut off my arm with a rusty spoon and use it to strangle myself

Thank you so much!!!!!

Nice tutorial.... Love from india❤

Good work! Thank you so much! Still one confusion remains, i have two curves each x and y values are different from two samples. I need to plot both in python, then find the average of their curves. As Microsoft Excel has no built in function to do it. How can i do it in Python?

Hi, good work. Thanks for your efforts