How to Install and Uninstall python312-altair-widgets Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "python312-altair-widgets" package
This is a short guide on how to install python312-altair-widgets on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python312-altair-widgets
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2. Uninstall "python312-altair-widgets" package
This guide let you learn how to uninstall python312-altair-widgets on openSuSE Tumbleweed:
$
sudo zypper remove
python312-altair-widgets
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3. Information about the python312-altair-widgets package on openSuSE Tumbleweed
Information for package python312-altair-widgets:
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Repository : openSUSE-Tumbleweed-Oss
Name : python312-altair-widgets
Version : 0.2.2-4.1
Arch : noarch
Vendor : openSUSE
Installed Size : 31.2 KiB
Installed : No
Status : not installed
Source package : python-altair-widgets-0.2.2-4.1.src
Upstream URL : http://altair-viz.github.io
Summary : Interactive visualization package for statistical data for Python
Description :
This package provides interactive data visualization tools in the Jupyter
Notebook.
The interactive visualization tool that is provided allows data selection
through HTML widgets and outputs a Vega-lite plot through Altair. In the HTML
widget it is possible to select columns to plot in various encodings. This
widget also supports some basic configuration (i.e., log vs linear scales).
-------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-altair-widgets
Version : 0.2.2-4.1
Arch : noarch
Vendor : openSUSE
Installed Size : 31.2 KiB
Installed : No
Status : not installed
Source package : python-altair-widgets-0.2.2-4.1.src
Upstream URL : http://altair-viz.github.io
Summary : Interactive visualization package for statistical data for Python
Description :
This package provides interactive data visualization tools in the Jupyter
Notebook.
The interactive visualization tool that is provided allows data selection
through HTML widgets and outputs a Vega-lite plot through Altair. In the HTML
widget it is possible to select columns to plot in various encodings. This
widget also supports some basic configuration (i.e., log vs linear scales).