ipyvolume | 3d plotting for Python in the Jupyter notebook | Data Visualization library

by maartenbreddels TypeScript Version: 0.6.3 License: MIT

X-Ray Key Features Code Snippets(5)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | ipyvolume Summary

ipyvolume is a TypeScript library typically used in Analytics, Data Visualization, Jupyter, WebGL applications. ipyvolume has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Try out in mybinder:. 3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL.

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Support

ipyvolume has a medium active ecosystem.

It has 1682 star(s) with 213 fork(s). There are 51 watchers for this library.

There were 2 major release(s) in the last 12 months.

There are 156 open issues and 127 have been closed. On average issues are closed in 207 days. There are 21 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ipyvolume is 0.6.3

Quality

ipyvolume has 0 bugs and 0 code smells.

Security

ipyvolume has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ipyvolume code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ipyvolume is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ipyvolume releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 2272 lines of code, 142 functions and 37 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed ipyvolume and discovered the below as its top functions. This is intended to give you an instant insight into ipyvolume implemented functionality, and help decide if they suit your requirements.

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 .

Get all kandi verified functions for this library.

ipyvolume Key Features

No Key Features are available at this moment for ipyvolume.

ipyvolume Examples and Code Snippets

Display colorbox for legend in ipywidgets

Python

Lines of Code : 31

License : Strong Copyleft (CC BY-SA 4.0)

Copy

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

Torchvision transforms.toPILImage() TypeError: function takes exactly 1 argument (3 given)

Python

Lines of Code : 5

License : Strong Copyleft (CC BY-SA 4.0)

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if mode in [ 'L', 'F'] and isinstance( color, tuple):
     color = color[ 0]

return im._new( core.fill(mode, size, color))

Python - Problem to paint different colours in x,y and z axis with Ipyvolume library

Python

Lines of Code : 5

License : Strong Copyleft (CC BY-SA 4.0)

Copy

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)

When plotting a graph xlim() is absolutely ignored

Python

Lines of Code : 7

License : Strong Copyleft (CC BY-SA 4.0)

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%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()

How to update ipyvolume shapes immediately without intermediate views

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

Copy

...
self.figure = ipv.figure(animation=0.)
...

Community Discussions

Trending Discussions on ipyvolume

Display colorbox for legend in ipywidgets

3D visualization of .dicom files with ipyvolume

Torchvision transforms.toPILImage() TypeError: function takes exactly 1 argument (3 given)

QUESTION

Display colorbox for legend in ipywidgets

Asked 2020-Aug-20 at 19:26

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 19:26

I decided to just build a grid and color buttons in the wanted colors:

Source https://stackoverflow.com/questions/63497602

QUESTION

3D visualization of .dicom files with ipyvolume

Asked 2020-Aug-13 at 13:12

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 18:33

I 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:

Source https://stackoverflow.com/questions/63310163

QUESTION

Torchvision transforms.toPILImage() TypeError: function takes exactly 1 argument (3 given)

Asked 2020-Apr-01 at 14:47

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 14:47

The 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 modes that might be also true.

Thus, I solved my problem by updating the code as,

Source https://stackoverflow.com/questions/60958127

Community Discussions, Code Snippets contain sources that include Stack Exchange Network