How to Install and Uninstall python3-plotly.noarch Package on Fedora 38
Last updated: November 28,2024
1. Install "python3-plotly.noarch" package
Please follow the guidance below to install python3-plotly.noarch on Fedora 38
$
sudo dnf update
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$
sudo dnf install
python3-plotly.noarch
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2. Uninstall "python3-plotly.noarch" package
Here is a brief guide to show you how to uninstall python3-plotly.noarch on Fedora 38:
$
sudo dnf remove
python3-plotly.noarch
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$
sudo dnf autoremove
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3. Information about the python3-plotly.noarch package on Fedora 38
Last metadata expiration check: 4:01:22 ago on Sat Mar 16 22:59:57 2024.
Available Packages
Name : python3-plotly
Version : 5.19.0
Release : 3.fc38
Architecture : noarch
Size : 17 M
Source : python-plotly-5.19.0-3.fc38.src.rpm
Repository : updates
Summary : An open-source, interactive data visualization library
URL : https://plotly.com/python/
License : MIT
Description : plotly.py is an interactive, open-source, and browser-based graphing library
: for Python.
:
: Built on top of plotly.js, plotly.py is a high-level, declarative charting
: library. plotly.js ships with over 30 chart types, including scientific charts,
: 3D graphs, statistical charts, SVG maps, financial charts, and more.
:
: plotly.py is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks,
: standalone HTML files, or hosted online using Chart Studio Cloud.
:
: Documentation is available at https://plotly.com/python/
Available Packages
Name : python3-plotly
Version : 5.19.0
Release : 3.fc38
Architecture : noarch
Size : 17 M
Source : python-plotly-5.19.0-3.fc38.src.rpm
Repository : updates
Summary : An open-source, interactive data visualization library
URL : https://plotly.com/python/
License : MIT
Description : plotly.py is an interactive, open-source, and browser-based graphing library
: for Python.
:
: Built on top of plotly.js, plotly.py is a high-level, declarative charting
: library. plotly.js ships with over 30 chart types, including scientific charts,
: 3D graphs, statistical charts, SVG maps, financial charts, and more.
:
: plotly.py is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks,
: standalone HTML files, or hosted online using Chart Studio Cloud.
:
: Documentation is available at https://plotly.com/python/