How to Install and Uninstall python310-altair-widgets Package on openSuSE Tumbleweed
Last updated: November 24,2024
1. Install "python310-altair-widgets" package
Please follow the guidance below to install python310-altair-widgets on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python310-altair-widgets
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2. Uninstall "python310-altair-widgets" package
This guide covers the steps necessary to uninstall python310-altair-widgets on openSuSE Tumbleweed:
$
sudo zypper remove
python310-altair-widgets
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3. Information about the python310-altair-widgets package on openSuSE Tumbleweed
Information for package python310-altair-widgets:
-------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-altair-widgets
Version : 0.2.2-4.1
Arch : noarch
Vendor : openSUSE
Installed Size : 26.1 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 : python310-altair-widgets
Version : 0.2.2-4.1
Arch : noarch
Vendor : openSUSE
Installed Size : 26.1 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).