Great tutorial! alternatively, you can take advantage of numpy broadcasting semantics x = np.linspace(-5, 5, 500) f = (x[:, None] ** 2 + x[None, :] ** 2 < 1).astype(float)
You might also find that .astype(float) may be omitted in the instruction and a slightly crisper-looking yellow circle thus be obtained. Which left one with the conclusion that plt.pcolormer(xv, yv, f) is quite happy processing expressions intrinsically boolean without requiring any floating-point analog.
Try omitting .astype(float) and be as surprised as this one was, that passing a boolean array `f` as argument to plt.pcolormesh(xv, yv, f) is not only perfectly legal but also affords us a sharper outline of the yellow circle.
Could this be used for calculating numerical solutions of, e.g. solutions of Poisson/Laplace equation with masked boundary conditions? That would make an awesome video!
Really love these tutorials you do about scientific programming. Thank you :)
Same 🤙
I have used this function many times, but never really understood it. Thanks for a very helpful video.
Great! I was just trying to making sense of np.meshgrid, for a project. Thank you for the best explanation!
Thank you for the tutorial! I needed to get my head around meshgrid for my machine learning course and this helped quite a lot.
Best explanation in the whole site. Thank you so much!
Yet another great tutorial. These tutorials help me a lot conquering python.
Best meshgrid explanation!
Great tutorial!
alternatively, you can take advantage of numpy broadcasting semantics
x = np.linspace(-5, 5, 500)
f = (x[:, None] ** 2 + x[None, :] ** 2 < 1).astype(float)
You might also find that .astype(float) may be omitted in the instruction and a slightly crisper-looking yellow circle thus be obtained.
Which left one with the conclusion that plt.pcolormer(xv, yv, f) is quite happy processing expressions intrinsically boolean without requiring any floating-point analog.
Love Your Videos. You have no idea how much you have helped me during my exam days.
you talk with your hands like a physicst (not like italians!) I love that, thx for the contents!
Simply awesome...More on p.functions please...Really essential.
Try omitting .astype(float)
and be as surprised as this one was,
that passing a boolean array `f` as argument to plt.pcolormesh(xv, yv, f)
is not only perfectly legal but also affords us a sharper outline of the yellow circle.
What theme is that used in the notebook?
I want to get the value of f when i put mouse on the graph, is there any function for doing that?
Your image is in npy extension??
Would it also work for jpg and png?
Could this be used for calculating numerical solutions of, e.g. solutions of Poisson/Laplace equation with masked boundary conditions? That would make an awesome video!
A série on python functions Amazing idea !
does anyone know how to plot using data file?
How are you expanding & collapsing the code cells? Or is this just vid editing?
how to plot from data file
Deeply love this series. Thank you so much! Keep going.
Could you show how to plot 3D graphs ? And thanks for your content, it help me a lot!
Thankyou so much, you're a life saver!!
Really a good video. 👍
It was mind-blowing...
Fabulous. Thanks!
Very explanation!
np.arange(10) does the same thing as np.arange(0,10,1)
helpful 👍
thanks
Thank You! Finally I got it!
you get what you f*cking deserve, a sub :)
👏👏💪
can you solve my P?
Too small to slove Leorio
@@justarandomcatwithmoustache let mr.P check first ;)
useful content, but heavy coke energy from the amount of gesticulation
Thanks