I just got into programming, I wanted to do a basic project with some graphics, even tried it on turtle not knowing it wont be interactive. This is golden, really shows how much fo a difference matplotlib does.
Great video! Could you possibly do a video where you show how to open/view 3d models using python and look around on the model, kinda like the 3d Viewer app?
Great video! I would really really love to see you using Deep Reinforcement Learning in Stock Market Prediction... And even other RL Applications for that matter!
Hey Neural! Could you make a video on exactly how we can set up Pycharm the way you have in this video? With Tabnine and Vim... Also showing us how we can make us of having vim bound to Pycharm would be sweet. Thanks!
Thanks for the videos. I have a question about multivariate data. I have three independent variables and would like to see their occurrences by coloring the data based on their probability densities (plot type can be contour, surf etc.) Which function should I use? Could you please help me with this?
Could you comment on how multiplying the array X by the array Y gives the value Z that we are looking for on the surface. I can't see how multiplying a 499 by 499 grid of values by another 499 by 499 grid of values gives the values we need for Z. How is the computer processing these arrays. Edit: OK so you're combining the respective entries only of the two arrays X and Y which gives tuples for all possible x and y values in the original x_data and y_data arrays. I suppose the Z is then given when the function acts on all these possible tuples (X,Y).
That was super useful, thank you! I have a quick question though, is there a way that the program calculates de azimuth and elevation required to set the view perpendicular to a certain plotted plane?
Thanks for this. At 4:45, can you explain why you inputted a tuple as the third argument for np.random.randint() if the array is going to be 1D. I put an integer (scalar) in as the third argument and it works fine. The type of x_data is still a numpy.ndarray if you use a scalar. Does this make any material difference with 1D numpy arrays. Also, I understand that arguments are sometimes entered as keyword arguments when using np.random.randint(). What are the differences between using positional arguments as you have here and using keyword arguments e.g. low =, high =, size = with np.random.randint()
can you make a 3d Plot where x and y have a diffrent length? And another Question I have is if you can change the axis eg. use x a y axis (just visualy)?
to your first question, I am not sure but I know matplotlib gives an error "value error: x and y must be the same size"; if sizes of dimensions differ, you may get an error to get round the error, just make them equal. to your second question, oh yeah. you can put any name you like
Hey, thank you for that video. Is it possible to make a 3D plot like your scatter plot example but have a colorbar for the plot and each dot has a value that will be displayed with a related Color. Basically like a 3D imshow? Cheers
Great video. Is there a way to change the plot dynamically while viewing it? The way you might in Geogebra where you can change a parameter with a slider and watch the plot change in real time? Thanks :)
I am currently exploring plotly with dash for this purpose. Looks like a good solution. It spawns a small web server which reloads automatically when you save your source file. There are also value sliders you can use. I was also searching for a geogebra 3d replacement 😀
This is all great but how can these charts actually be used with real data? Random numbers are pretty useless if you are trying to build one of these graphs that is actually usable.
I just got into programming, I wanted to do a basic project with some graphics, even tried it on turtle not knowing it wont be interactive. This is golden, really shows how much fo a difference matplotlib does.
Before watching the video I'm very confused about doing 3d plots in python, after watching I got a very good idea . Thank you very much.
totally agree very simple straight to the point, perfect
You deserve much more likes and views! Basically teaching some python aspects in like 20 minutes.
Thank you a lot. I was struggling with this for many days. finally i was able to plot 3d surface with simple 3-4 lines of code.
Holy moly. Fantastic video!! It helped me a lot, gaining an overview of the basic plot funktions. Thx
very helpful.. now i know why i couldn't plot 3d the way i wanted "similar to my calculator" so here i need to make a grid for that.
This is a great video! Building up feature by feature is a great way to introduce new visualization tools.
Great video! Could you possibly do a video where you show how to open/view 3d models using python and look around on the model, kinda like the 3d Viewer app?
Did you ever find this type of video ?
Wanted this video Thank you. Btw Congraturations for 103k
Good tutorial, thank you!
Please continue the Finance playlist!
Really appreciate your work!
Is there any specific topic you want to see?
@@NeuralNine Can you make A.I. snake game?
@@NeuralNine I would really really love to see you using Deep Reinforcement Learning in Stock Market Prediction...
thanks vaas from farcry 3
Thank you so so much for such a great explanation and coverage of topics.
Absolutely great ! Thanks. Really fun.
I have arrays where shape of x is (0,13), shape of y is (27,0), and shape of z is (13,27) how do I make a surface plot of it
congrats for 100k!
thank you!
it was interesting, nice video🙂
Thats what the world needs thx
Great video!
I would really really love to see you using Deep Reinforcement Learning in Stock Market Prediction...
And even other RL Applications for that matter!
Hey Neural! Could you make a video on exactly how we can set up Pycharm the way you have in this video? With Tabnine and Vim...
Also showing us how we can make us of having vim bound to Pycharm would be sweet. Thanks!
Thanks for the videos. I have a question about multivariate data. I have three independent variables and would like to see their occurrences by coloring the data based on their probability densities (plot type can be contour, surf etc.) Which function should I use? Could you please help me with this?
Your contents are great. Thank you.
Very well explained!
Great video. It is very helpfull. I am very glad that I discovered your channel.
How do I take that chart and have the values of a magnetic field show the shape of a metal object as a surface?
thanks bro, you da man, keep it up. I liked, subscribed and commented!
great, simple explanation
Nice tutorial Sir....
Can you tell that if we can use the same when making a GUI using Tkinter?
Thank you
Thanks Brother for this Knowledge..........................
Brilliant video, thank you.
Could you comment on how multiplying the array X by the array Y gives the value Z that we are looking for on the surface. I can't see how multiplying a 499 by 499 grid of values by another 499 by 499 grid of values gives the values we need for Z. How is the computer processing these arrays.
Edit: OK so you're combining the respective entries only of the two arrays X and Y which gives tuples for all possible x and y values in the original x_data and y_data arrays. I suppose the Z is then given when the function acts on all these possible tuples (X,Y).
That was super useful, thank you! I have a quick question though, is there a way that the program calculates de azimuth and elevation required to set the view perpendicular to a certain plotted plane?
Really loved this helped me so much on my current project, what you advise if I wanted to run live lidar data in similar way? Thanks
Like usual, the best! 💪
Thanks for this.
At 4:45, can you explain why you inputted a tuple as the third argument for np.random.randint() if the array is going to be 1D. I put an integer (scalar) in as the third argument and it works fine. The type of x_data is still a numpy.ndarray if you use a scalar.
Does this make any material difference with 1D numpy arrays.
Also, I understand that arguments are sometimes entered as keyword arguments when using np.random.randint(). What are the differences between using positional arguments as you have here and using keyword arguments e.g. low =, high =, size = with np.random.randint()
When I have a 3D object it’s only detecting as a 2d making it hard to make doors
Nice job, thanks a lot !!!
That UI you are using, what is that, how do I make that
Awesome
Thank you very much!
Man this is sooooo damn cool thank you so much!!!
Nice ❤
Great video. If you have any video that shows how to read data from csv file and plot, let me know.
can you make a 3d Plot where x and y have a diffrent length? And another Question I have is if you can change the axis eg. use x a y axis (just visualy)?
to your first question, I am not sure but I know matplotlib gives an error "value error: x and y must be the same size"; if sizes of dimensions differ, you may get an error to get round the error, just make them equal. to your second question, oh yeah. you can put any name you like
Cool concept loved it 🔥
Is there anyway to setup vscode to open multiple figure windows at the same time?
nice tutorial
Hey, thank you for that video.
Is it possible to make a 3D plot like your scatter plot example but have a colorbar for the plot and each dot has a value that will be displayed with a related Color. Basically like a 3D imshow?
Cheers
Thank you sir learned alott today
Excellent.
Great video. Is there a way to change the plot dynamically while viewing it? The way you might in Geogebra where you can change a parameter with a slider and watch the plot change in real time? Thanks :)
I am currently exploring plotly with dash for this purpose. Looks like a good solution. It spawns a small web server which reloads automatically when you save your source file. There are also value sliders you can use. I was also searching for a geogebra 3d replacement 😀
Great could you help me for deveop tools that medel anasimulate Dynamic system?
If I have any data which is in the format of 3D image like say any XRD image than how we can plot that image
This is all great but how can these charts actually be used with real data? Random numbers are pretty useless if you are trying to build one of these graphs that is actually usable.
Can you tell me which app i download to conduct these queries..
Great video, could you please make one video about ternary diagrams plotted with python? best, Vane
why it is not working in jupyter notebook
Can you tell me function for 3D Pie Chart
how come you don't use jupyter / jupyter_lab? Also, thanks very much for the video! :D
How can you project, for example a circle constraint, on the surface in case of solving constraint optimization?
you can give values to x and then indicate y=sqrt(R**2-x**2); this will work for a circle
Thankyou sir
Now how to animate this?
What does the artist say at the start of your video intro?
good
Can you please provide me the code?
anyone tried this for GIS data?
hi