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

Last updated: December 23,2024

1. Install "python-pandas" package

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


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python-pandas
            
                    
    
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2. Uninstall "python-pandas" package

Learn how to uninstall python-pandas on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-pandas
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-pandas package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-pandas
Priority: optional
Section: universe/python
Installed-Size: 20047
Maintainer: Ubuntu Developers
Original-Maintainer: NeuroDebian Team
Architecture: all
Source: pandas
Version: 0.17.1-3ubuntu2
Provides: python2.7-pandas
Depends: python (>= 2.7), python (<< 2.8), python-dateutil, python-tz, python-numpy (>= 1:1.7~), python-pandas-lib (>= 0.17.1-3ubuntu2), python-six
Recommends: python-scipy, python-matplotlib, python-tables, python-numexpr, python-xlrd, python-statsmodels, python-openpyxl, python-xlwt, python-bs4, python-html5lib, python-lxml
Suggests: python-pandas-doc
Filename: pool/universe/p/pandas/python-pandas_0.17.1-3ubuntu2_all.deb
Size: 2386160
MD5sum: dbae8694a436fd25585760ef7f98a8ba
SHA1: 1a0f62171ac41863c8f76806b5dab7cbdb4be05c
SHA256: 2ae3cc1dcefa0b98c0974abf4eaf7ceff07891713a2cdd4ce8bfe194490708f4
Description-en: data structures for "relational" or "labeled" data
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 2 version.
Description-md5: 5d2a4a5c4c40bb97c56fe95fc9e2a8ec
Homepage: http://pandas.sourceforge.net
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu