iPython Notebook, using numpy and scipy interpolation, integration, and curve fitting functions
Пікірлер: 25
@mokus6033 жыл бұрын
After all these year, you video is still amazingly helpful! Thank you for your hard work
@jawnvawn5 жыл бұрын
Really enjoyed your clear tutorial. I'm using this to help me fit spectra peaks from astronomical data to gaussian curves. Will hopefully impress my professor. Much thanks!
@AlexOmbla3 жыл бұрын
Thank you very much! I couldn't find this anywhere , you saved me
@jimwest635 жыл бұрын
A very good video, just what I needed to quickly get going on a work problem I currently have, using nothing but the packages that already come installed in anaconda. Good work.
@clivemayo40497 жыл бұрын
Great video, very well explained thanks
@blanky_nap7 жыл бұрын
Great stuff! thx!
@Satenc07 жыл бұрын
Very nice explained
@ignitebyuedu4 жыл бұрын
Thanks for the positive feedback. The code is available at this website: ignite.byu.edu/che263/lectureNotes/ This includes all lecture notes. If you back up to che263 you can see other course materials. The integration, interpolation, and curve fitting slides are now separate, but much of the content is the same. Not all notes are posted; they get added as the semester progresses. You can find slides from previous semesters here: ignite.byu.edu/che263/lectureNotes/old.html
@yurivendruscolo76768 жыл бұрын
Hello, would it be possible to get a pdf of the data shown on the video?
@philtoa3342 жыл бұрын
Nice Thx.
@skfkfkd8 жыл бұрын
This was a superb tutorial, I was wondering if you have or can make a video explaining how to make the r squared value for the curve fitted function you made at 14:08
@MartinezF7 жыл бұрын
I have a question about the last fitting you did. Those command lines make the fit with minimum squares? (sorry for my english)
@juliarey64755 жыл бұрын
GRACIAS!!!!
@frankelindddd6 жыл бұрын
What if the function have been integrated by .quad and sub into another non-analytical function to get two sets of array, and I want to do curve fitting of that with test data?
@Satenc07 жыл бұрын
How about using numpy corrcoef? at curve fitting id just enter p3 as parameter of it
@davidmckinnon47705 жыл бұрын
As a Python newbie, I found this tutorial fantastic for an analysis I am currently undertaking. What is missing though, is the code necessary for goodness of fit. I can't figure out how to do this - can anybody help?
@stefanofedele48207 жыл бұрын
I like it, but I was looking for some tutorials that explain me how can I use the covariance matrix, that in your tutorial is reported at the end of it as "extras" in the "curve_fit" output, and still I can't find anyone who explain me it
@shobanasanthanagopalan5 жыл бұрын
Thank you. Is there a downloadable of this notebook?
@aamir122a7 жыл бұрын
At the end of the function, why do you put dx, has it any use?
@RobinOnYew5 жыл бұрын
just saying dx is the convention that you put in an end of a integral because you are declaring you are using the decimal system for x that is the meaning of it in integrals but in a bit more complicated integrals you can declare part of a fucntion thay ou want to solve as the system like Ux it's pretty interesting and easy so you should check it out
@Passco6665 жыл бұрын
Where I can found that example notebook?
@riccardolizio82305 жыл бұрын
i think it is the jupiter notebook, you can get it through anaconda navigator
@Passco6665 жыл бұрын
@@riccardolizio8230 Thank you for reply.. I have already downloaded jupyter,however I did not find any example or training sheet :(