How to Install and Uninstall python3-sklearn-pandas Package on Debian 12 (Bookworm)
Last updated: February 02,2025
Notice
You can also install and uninstall the python3-sklearn-pandas on the following distributions in the same way, as they are all based on the Debian system
- MX Linux 23
- SparkyLinux
1. Install "python3-sklearn-pandas" package
This guide let you learn how to install python3-sklearn-pandas on Debian 12 (Bookworm)
$
sudo apt update
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$
sudo apt install
python3-sklearn-pandas
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2. Uninstall "python3-sklearn-pandas" package
Please follow the guidance below to uninstall python3-sklearn-pandas on Debian 12 (Bookworm):
$
sudo apt remove
python3-sklearn-pandas
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-sklearn-pandas package on Debian 12 (Bookworm)
Package: python3-sklearn-pandas
Source: sklearn-pandas
Version: 2.2.0-1.1
Installed-Size: 57
Maintainer: Federico Ceratto
Architecture: all
Depends: python3-numpy, python3-pandas, python3-scipy, python3-sklearn, python3:any
Enhances: python3-pandas, python3-sklearn
Description: Pandas integration with sklearn (Python 3)
Description-md5: 6ece1efdb2b686f790ba983a61e1befd
Homepage: https://github.com/scikit-learn-contrib/sklearn-pandas
Section: python
Priority: optional
Filename: pool/main/s/sklearn-pandas/python3-sklearn-pandas_2.2.0-1.1_all.deb
Size: 18696
MD5sum: 04ea632b132b987f379a7cb546f2e1dd
SHA256: 8ea08c33c0297f42f01dabece70c9a6aa1e1c772e0e96686c72e13f09a86cb8f
Source: sklearn-pandas
Version: 2.2.0-1.1
Installed-Size: 57
Maintainer: Federico Ceratto
Architecture: all
Depends: python3-numpy, python3-pandas, python3-scipy, python3-sklearn, python3:any
Enhances: python3-pandas, python3-sklearn
Description: Pandas integration with sklearn (Python 3)
Description-md5: 6ece1efdb2b686f790ba983a61e1befd
Homepage: https://github.com/scikit-learn-contrib/sklearn-pandas
Section: python
Priority: optional
Filename: pool/main/s/sklearn-pandas/python3-sklearn-pandas_2.2.0-1.1_all.deb
Size: 18696
MD5sum: 04ea632b132b987f379a7cb546f2e1dd
SHA256: 8ea08c33c0297f42f01dabece70c9a6aa1e1c772e0e96686c72e13f09a86cb8f