ipyvolume | 3d plotting for Python in the Jupyter notebook | Data Visualization library
kandi X-RAY | ipyvolume Summary
kandi X-RAY | ipyvolume Summary
Try out in mybinder:. 3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL.
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Top functions reviewed by kandi - BETA
- Plots a mesh .
- Embed a HTML file .
- Default implementation for selector .
- Plots a mesh surface .
- Download a file to a file .
- Convert a rectangular rectangle to a rectangular grid .
- Generate a brain .
- Figures out how to draw the ball
- Plots the surface of a data .
- Create a spot light .
ipyvolume Key Features
ipyvolume Examples and Code Snippets
def create_expanded_button(description):
return Button(description=description, style={'font_weight': 'bold'}, layout=Layout( width='auto'))
def color_box (description, color):
b1 = Button(description=description)
b1.style.but
if mode in [ 'L', 'F'] and isinstance( color, tuple):
color = color[ 0]
return im._new( core.fill(mode, size, color))
import ipyvolume as ipv
import matplotlib
c = matplotlib.cm.afmhot(np.linspace(0, 1, len(y)))
ipv.quickscatter(X[:, 0], X[:, 1], X[:, 2],marker="sphere",color=c,size=2)
%matplotlib inline
import matplotlib.pyplot as plt
plt.figure(figsize=(18,6))
plt.plot(list(range(5)), [0.0020,0.0021,0.0022,0.0023,0.0025],'bo')
plt.ylim((0,0.0025))
plt.show()
...
self.figure = ipv.figure(animation=0.)
...
Community Discussions
Trending Discussions on ipyvolume
QUESTION
for a legend of a model I made in ipyvolume, I wanted to make a widget.HTML which displays a little colorbox besides the corresponding label in a widgets.HTML().
As I see you can only put a single string line for the html code. Does somebody have a good idea?
...ANSWER
Answered 2020-Aug-20 at 19:26I decided to just build a grid and color buttons in the wanted colors:
QUESTION
i'm trying to visualize a set of .dicom
files using pydicom
and ipyvolume
.
I used pydicom
to read files and then sorted them by their location and turned the slices into a 3D array. I could draw a 3D model of the data using ipyvolume.pylab.plot_isosurface()
although I'm not sure if this is the right way of visualizing medical images (it's all solid pixels with the same opacity and color). I've also tried ipyvolume.pylab.volshow()
but that did not work.
Is there a right way to visualize medical images with ipyvolume
? or this is just not the right library for that?
ANSWER
Answered 2020-Aug-12 at 18:33I haven't used ipyvolume, but looking at the documentation it ought to be able to visualize DICOM image sets.
If you want to try another package, I use SimpleITK to load DICOM images and itkwidgets do volume visualization in a Jupyter notebook.
Here's a simple notebook that load a DICOM series and displays it:
QUESTION
From Anaconda pillow -> 7.00 torchvision -> 0.5.0
I installed the latest Anaconda for Linux( Anaconda3-2020.02-Linux-x86_64.sh) today and I run the following commands,
...ANSWER
Answered 2020-Apr-01 at 14:47The error comes when transform RandomRotation
is invoked and a new instance of Image
class is created. Particularly, function core.fill()
at line 2544 return im._new( core.fill(mode, size, color))
in function new
, in file anaconda3/envs/py36/lib/python3.6/site-packages/PIL/Image.py
is the source of 'evil'.
core
is the alias of file anaconda3/envs/py36/lib/python3.6/site-packages/PIL/_imaging.cpython-36m-x86_64-linux-gnu.so
when imported as from . import _imaging as core
at line 69 in the same file( Image.py).
Function core.fill(mode, size, color))
depending on the mode
has different expectations about color
. color
is always a 3 - tuple, lines 726 - 727 in file anaconda3/envs/py36/lib/python3.6/site-packages/torchvision/transforms/functional.py
, function rotate
i.e. RandomRotation
transform.
If mode == RGB
everything is fine. If mode == L
then TypeError: function takes exactly 1 argument (3 given)
is raised. If mode == F
, TypeError: must be real number, not tuple
is raised. I found that given my images under transformation.
For mode in [ 'L', 'F']
, parameter color
needs to be a single integer. For other mode
s that might be also true.
Thus, I solved my problem by updating the code as,
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