3D Charts in Matplotlib for Python: Multiple datasets scatter plot

Key Takeaways

what is up everybody welcome back to another map plot lib tutorial in the three dimensions um in this one we're just going to add a one more layer on top of this scatter plot just to show a little something cool that you can do with Scatter Plots and then also you'll see with like bar charts and stuff but Scatter Plots it's really fun because it's kind of um in addition to um machine learning um three three-dimensional plot definitely help machine learning because if you think about it um like I've said before in some of my other videos machine learning is really just machine classification and it also starts machine learning does with really machine teaching right you have to teach the machine how it ought to learn kind of like you know when you were in school you had to um be taught someone taught you study techniques right and so it's the same thing like we have to eventually teach the computer study tactics in order for it to actually do some machine learning so anyway um anyone who is interested in machine learning should definitely check out some other tutorials of mine there's also some really cool machine learning tutorials on YouTube um anyway continuing on um and I'll probably actually have some machine learning tutorials in the near future because the idea of it is very intriguing anyway continuing on um three-dimensional Scatter Plots are really useful for machine learning because some people will do it on a two-dimensional plane but the problem with a two dimensional plane is you have you know let's say you have a 20x 20 graph um you only have 400 positions that you can consider for example when you add another dimension well you're you're adding another freaking Dimension all right so if you were 20 by 20 and you added by 20 you're literally multiplying your um position possibilities by 20 otherwise known as basically moving from 400 optional positions to now 8,000 optional positions that you can consider for your categorization so it makes a huge difference when you can look at um maybe um a multi-dimensional array worth of data uh so it is beneficial but sometimes you know once you get a good algorithm down you can start doing that but sometimes it's useful for you to be able to visualize it so anyways enough chitchat let's do the 3D plotting of um well the addition to what we had so let's say we're going to do XS Ys Zs and now you might want to change um or you might want to add them right to what you're plotting but now you want to plot anything under this variable so like the way this would work though is you say you were doing machine learning it would be classifying stuff in the real time so anything that was classified under these specific parameters would be thrown into this array and then later you would you know publish it for yourself so you can see the results and see if your machine learning algorithm is doing a good job or not and so for this one we'll make these Scatter Plots blue and they're going to be Carrot Top denoted for little triangles basically so now let's just save that that's really the only change we needed to make and let's plot that and in fact it looks horrible what did we do wrong let's see oh I know what we did I meant to add uh negative signs to all this data so let me do that really quick really need to just add a negative sign to one of the pieces of data but that's okay we're this we've gone this far oops actually let's finish it off just like this there we go save let me make sure I closed it I just don't want to get in trouble with mat plot lib there we go all right let's do it again dang it's like still giving me this 3D what did we do wrong this time ah man okay XS Ys Zs man amateur anyways this is my first rodeo okay now that we've got him in fact it looks like it ought to be so for example actually this would be the an example of a failed machine learning algorithm that needs more work right because clearly if you look at this there are three groups this group this group and this group and only there's only one dividing line which would be here but anyway this just gives you the idea that you can have different groups and group Types on the same scatter plot and use that for classification it doesn't have to be for machine learning of course um but it can be hint hint anyway um just wanted to add that to the Arsenal of uh 3D plotting tutorials and that's going to conclude this uh pretty quick and short video it' be really short if I didn't Yak for so long anyway as always thanks for watching stay tuned to the next video and thank you for your support your subscriptions