python3-pandas – 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.

Package availability chart
Distribution Base version Our version Architectures
Debian GNU/Linux 10.0 (buster) 0.23.3+dfsg-3 0.23.3-1~nd100+1 i386, amd64, sparc, armel
Debian GNU/Linux 8.0 (jessie) 0.14.1-2 0.19.2-1~nd80+1 i386, amd64, sparc, armel
Debian GNU/Linux 9.0 (stretch) 0.19.2-5.1 0.22.0-2~nd90+1 i386, amd64, sparc, armel
Debian testing (bullseye) 0.25.3+dfsg2-3    
Debian unstable (sid) 0.25.3+dfsg2-3 0.23.3-1~nd+1 i386, amd64, sparc, armel
Ubuntu 14.04 “Trusty Tahr” (trusty) 0.13.1-2ubuntu2 0.18.1-1~nd14.04+1 i386, amd64, sparc
Ubuntu 16.04 “Xenial Xerus” (xenial) 0.17.1-3ubuntu2 0.19.2-1~nd16.04+1 i386, amd64, sparc
Ubuntu 18.04 “Bionic Beaver” (bionic) 0.22.0-4 0.23.3-1~nd18.04+1 i386, amd64, sparc, armel
Ubuntu 19.04 “Disco Dingo” (disco) 0.23.3+dfsg-3ubuntu1    
Ubuntu 20.04 “Focal Fossa” (focal) 0.25.3+dfsg-7    

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