How to Install and Uninstall python311-plotly Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "python311-plotly" package
Please follow the guidance below to install python311-plotly on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python311-plotly
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2. Uninstall "python311-plotly" package
This is a short guide on how to uninstall python311-plotly on openSuSE Tumbleweed:
$
sudo zypper remove
python311-plotly
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3. Information about the python311-plotly package on openSuSE Tumbleweed
Information for package python311-plotly:
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-plotly
Version : 5.17.0-1.1
Arch : noarch
Vendor : openSUSE
Installed Size : 72.7 MiB
Installed : No
Status : not installed
Source package : python-plotly-5.17.0-1.1.src
Upstream URL : https://github.com/plotly/plotly.py
Summary : Library for collaborative, interactive, publication-quality graphs
Description :
Use this package to make collaborative, interactive,
publication-quality graphs from Python on https://plot.ly.
Plotly is an online collaborative data analysis and graphing tool. The
Python API allows you to access all of Plotly's functionality from Python.
Plotly figures are shared, tracked, and edited all online and the data is
always accessible from the graph.
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-plotly
Version : 5.17.0-1.1
Arch : noarch
Vendor : openSUSE
Installed Size : 72.7 MiB
Installed : No
Status : not installed
Source package : python-plotly-5.17.0-1.1.src
Upstream URL : https://github.com/plotly/plotly.py
Summary : Library for collaborative, interactive, publication-quality graphs
Description :
Use this package to make collaborative, interactive,
publication-quality graphs from Python on https://plot.ly.
Plotly is an online collaborative data analysis and graphing tool. The
Python API allows you to access all of Plotly's functionality from Python.
Plotly figures are shared, tracked, and edited all online and the data is
always accessible from the graph.