How to Install and Uninstall python310-plotly Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "python310-plotly" package
This tutorial shows how to install python310-plotly on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python310-plotly
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2. Uninstall "python310-plotly" package
This guide let you learn how to uninstall python310-plotly on openSuSE Tumbleweed:
$
sudo zypper remove
python310-plotly
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3. Information about the python310-plotly package on openSuSE Tumbleweed
Information for package python310-plotly:
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-plotly
Version : 5.17.0-1.1
Arch : noarch
Vendor : openSUSE
Installed Size : 65.4 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 : python310-plotly
Version : 5.17.0-1.1
Arch : noarch
Vendor : openSUSE
Installed Size : 65.4 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.