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

Last updated: May 20,2024

1. Install "python3-pandas" package

Please follow the instructions below to install python3-pandas on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-pandas
            
                    
    
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2. Uninstall "python3-pandas" package

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


    
        
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                sudo apt remove
            
                        
                python3-pandas
            
                    
    
    Copied


    
        
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: python3-pandas
Priority: optional
Section: universe/python
Installed-Size: 20045
Maintainer: Ubuntu Developers
Original-Maintainer: NeuroDebian Team
Architecture: all
Source: pandas
Version: 0.17.1-3ubuntu2
Depends: python3-dateutil, python3-numpy (>= 1:1.7~), python3-tz, python3:any (>= 3.3.2-2~), python3-pandas-lib (>= 0.17.1-3ubuntu2)
Recommends: python3-scipy, python3-matplotlib, python3-numexpr, python3-tables, python3-bs4, python3-html5lib, python3-six, python3-lxml
Suggests: python-pandas-doc
Filename: pool/universe/p/pandas/python3-pandas_0.17.1-3ubuntu2_all.deb
Size: 2387280
MD5sum: dee25a60828c51e5d64456f25bac2111
SHA1: 7b816564549626eb086a552c58efc33250e7db75
SHA256: 7b529b2c96a858138abee2301dde8c5d279826756c2c48ac876a6e5e4ab431ae
Description-en: data structures for "relational" or "labeled" data - Python 3
pandas is a Python package providing fast, flexible, and expressive
data structures designed to make working with "relational" or
"labeled" data both easy and intuitive. It aims to be the fundamental
high-level building block for doing practical, real world data
analysis in Python. pandas is well suited for many different kinds of
data:
.
- Tabular data with heterogeneously-typed columns, as in an SQL
table or Excel spreadsheet
- Ordered and unordered (not necessarily fixed-frequency) time
series data.
- Arbitrary matrix data (homogeneously typed or heterogeneous) with
row and column labels
- Any other form of observational / statistical data sets. The data
actually need not be labeled at all to be placed into a pandas
data structure
.
This package contains the Python 3 version.
Description-md5: 974128ffdd60ff45a653342bf818c011
Homepage: http://pandas.sourceforge.net
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu