How to Install and Uninstall python39-ipyvolume Package on openSuSE Tumbleweed

Last updated: November 26,2024

Deprecated! Installation of this package may no longer be supported.

1. Install "python39-ipyvolume" package

This guide covers the steps necessary to install python39-ipyvolume on openSuSE Tumbleweed


    
        
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                sudo zypper refresh
            
                    
    
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                sudo zypper install
            
                        
                python39-ipyvolume
            
                    
    
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2. Uninstall "python39-ipyvolume" package

In this section, we are going to explain the necessary steps to uninstall python39-ipyvolume on openSuSE Tumbleweed:


    
        
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                sudo zypper remove
            
                        
                python39-ipyvolume
            
                    
    
    Copied

3. Information about the python39-ipyvolume package on openSuSE Tumbleweed

Information for package python39-ipyvolume:
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Repository : openSUSE-Tumbleweed-Oss
Name : python39-ipyvolume
Version : 0.6.3-3.1
Arch : noarch
Vendor : openSUSE
Installed Size : 423.4 KiB
Installed : No
Status : not installed
Source package : python-ipyvolume-0.6.3-3.1.src
Upstream URL : https://github.com/widgetti/ipyvolume
Summary : IPython widget for rendering 3d volumes
Description :
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL.
Ipyvolume currently can
- Do (multi) volume rendering.
- Create scatter plots (up to ~1 million glyphs).
- Create quiver plots (like scatter, but with an arrow pointing in a particular direction).
- Render isosurfaces.
- Do lasso mouse selections.
- Render in the Jupyter notebook, or create a standalone html page (or snippet to embed in your page).
- Render in stereo, for virtual reality with Google Cardboard.
- Animate in d3 style, for instance if the x coordinates or color of a scatter plots changes.
- Animations / sequences, all scatter/quiver plot properties can be a list of arrays, which can represent time snapshots.
- Stylable (although still basic)
- Integrates with
+ ipywidgets for adding gui controls (sliders, button etc), see an example at the documentation homepage
+ bokeh by linking the selection
+ bqplot by linking the selection
This package provides the python interface.