Dear Alex Please how do I create a 3x3 neighborhood in python to calculate a value of an index for that neighbourhood center for a large 2d array. But is actualy 3d(x,y,z). I am interested in slope from a raster e.g DEM Thanks
genfromtxt you can see all names(of functions) on the slide number 35 named Arrays to/from files. here's the link for slides and other material github.com/enthought/Numpy-Tutorial-SciPyConf-2016
nice tutorial but sometimes misleading. for example from numpy import * seems like a bad practice to me. the common practice nowadays is to import numpy as np and then use np.func functions. this way you make sure you do not mess up with other name spaces. plus the matplotlib part seems primitive. Python is an oop language and all matplotlib figures, axis... are objects. one can easily name them an access their parameters using . dot operand...
The first third-or-so of the talk concentrates of "first steps with matplotlib". For numpy specifically, you may want to fast-forward to 1:16:10.
I agree with you, he uses a lot of time in matplotlib, but he skips a lot of the material from Numpy that the git repository contains.
Thanks!
44:54 how did you get all the available options with cm. ? Anyone please?
@@kuls43 run it wrongly and see the option in log
Numpy tutorial starts at 1:16:10
This tutorial is really helpful, very well explained! Thanks.
Excellent tutorial Alex. Fantastic information.
Thanks for Teaching .... Great Presentation, Well Explained Stuffs, And Thanks Again for the materials.
See the complete SciPy 2016 Conference talk & tutorial playlist here: ruclips.net/p/PLYx7XA2nY5Gf37zYZMw6OqGFRPjB1jCy6
Thanks. I learned a lot from your tutorial.
Thank you, it's very well explained :D
Thanks a lot. It will be very useful for me and it was a great presentation.
Dear Alex
Please how do I create a 3x3 neighborhood in python to calculate a value of an index for that neighbourhood center for a large 2d array. But is actualy 3d(x,y,z). I am interested in slope from a raster e.g DEM
Thanks
very awesome tutorial. Thanks.
44:54 how did you get all the available options with cm. ? Anyone please?
Ton anglais est impeccable
Gracias por la clase
What's the other tool he is talking about @2:16:03 ? thanks
genfromtxt
you can see all names(of functions) on the slide number 35 named Arrays to/from files.
here's the link for slides and other material github.com/enthought/Numpy-Tutorial-SciPyConf-2016
nice tutorial :)
Goodbye Headphone Wearers 1:52:42 . Good tutorial.
Syntax of np.
nice tutorial but sometimes misleading. for example
from numpy import *
seems like a bad practice to me. the common practice nowadays is to
import numpy as np
and then use np.func functions. this way you make sure you do not mess up with other name spaces.
plus the matplotlib part seems primitive. Python is an oop language and all matplotlib figures, axis... are objects. one can easily name them an access their parameters using . dot operand...
Got useful
thanks for the tutorial. axis is a b**ch though:(
numpy array axis description ruclips.net/video/gtejJ3RCddE/видео.htmlh53m15s
Very uninteresting video... Didn't learn anything..He's just saying this is this, that is that...