How to Install and Uninstall python3-altair-widgets Package on openSUSE Leap
Last updated: December 25,2024
1. Install "python3-altair-widgets" package
Please follow the steps below to install python3-altair-widgets on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python3-altair-widgets
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2. Uninstall "python3-altair-widgets" package
This guide let you learn how to uninstall python3-altair-widgets on openSUSE Leap:
$
sudo zypper remove
python3-altair-widgets
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3. Information about the python3-altair-widgets package on openSUSE Leap
Information for package python3-altair-widgets:
-----------------------------------------------
Repository : Main Repository
Name : python3-altair-widgets
Version : 0.2.2-bp155.2.10
Arch : noarch
Vendor : openSUSE
Installed Size : 36.1 KiB
Installed : No
Status : not installed
Source package : python-altair-widgets-0.2.2-bp155.2.10.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 : Main Repository
Name : python3-altair-widgets
Version : 0.2.2-bp155.2.10
Arch : noarch
Vendor : openSUSE
Installed Size : 36.1 KiB
Installed : No
Status : not installed
Source package : python-altair-widgets-0.2.2-bp155.2.10.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).