How to Install and Uninstall python38-altair-widgets Package on openSuSE Tumbleweed
Last updated: November 26,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python38-altair-widgets" package
Learn how to install python38-altair-widgets on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python38-altair-widgets
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2. Uninstall "python38-altair-widgets" package
Please follow the instructions below to uninstall python38-altair-widgets on openSuSE Tumbleweed:
$
sudo zypper remove
python38-altair-widgets
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3. Information about the python38-altair-widgets package on openSuSE Tumbleweed
Information for package python38-altair-widgets:
------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-altair-widgets
Version : 0.2.2-3.2
Arch : noarch
Vendor : openSUSE
Installed Size : 36,3 KiB
Installed : No
Status : not installed
Source package : python-altair-widgets-0.2.2-3.2.src
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 : python38-altair-widgets
Version : 0.2.2-3.2
Arch : noarch
Vendor : openSUSE
Installed Size : 36,3 KiB
Installed : No
Status : not installed
Source package : python-altair-widgets-0.2.2-3.2.src
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).