How to Install and Uninstall python3-sklearn-pandas Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 20,2024

1. Install "python3-sklearn-pandas" package

This tutorial shows how to install python3-sklearn-pandas on Ubuntu 16.04 LTS (Xenial Xerus)

$ sudo apt update $ sudo apt install python3-sklearn-pandas

2. Uninstall "python3-sklearn-pandas" package

Please follow the steps below to uninstall python3-sklearn-pandas on Ubuntu 16.04 LTS (Xenial Xerus):

$ sudo apt remove python3-sklearn-pandas $ sudo apt autoclean && sudo apt autoremove

3. Information about the python3-sklearn-pandas package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python3-sklearn-pandas
Priority: optional
Section: universe/python
Installed-Size: 37
Maintainer: Ubuntu Developers
Original-Maintainer: Christopher Baines
Architecture: all
Source: sklearn-pandas
Version: 1.1.0-1
Depends: python3-numpy, python3-pandas, python3-scipy, python3-sklearn, python3:any (>= 3.4~)
Filename: pool/universe/s/sklearn-pandas/python3-sklearn-pandas_1.1.0-1_all.deb
Size: 9886
MD5sum: a602f9a24ef691f4baa6b755f7611b1b
SHA1: 2d9b1e9cf772eb5c03f8f98cea7215e0ca6d3084
SHA256: 66cd84070a07625cc0222f1650258f093c1c03996e7ff6a4344edaceb82ea0d5
Description-en: Pandas integration with sklearn (Python 3)
sklearn-pandas provides a bridge between scikit-learn's machine learning
methods and pandas data frames.
.
In particular, it provides:
- a way to map DataFrame columns to transformations, which are later
recombined into features
- a way to cross-validate a pipeline that takes a pandas DataFrame as input.
.
This is the Python 3 version of the package.
Description-md5: 6ece1efdb2b686f790ba983a61e1befd
Enhances: python3-pandas, python3-sklearn
Homepage: https://github.com/paulgb/sklearn-pandas
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu