python-pandas – data structures for “relational” or “labeled” data¶
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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.
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, ppc64el |
Debian GNU/Linux 11.0 (bullseye) |
1.1.5+dfsg-2 |
||
Debian GNU/Linux 12.0 (bookworm) |
1.5.3+dfsg-2 |
||
Debian GNU/Linux 9.0 (stretch) |
0.19.2-5.1 |
0.22.0-2~nd90+1 |
i386, amd64, sparc, armel |
Debian testing (trixie) |
2.2.3+dfsg-5 |
||
Debian unstable (sid) |
2.2.3+dfsg-5 |
0.23.3-1~nd+1 |
i386, amd64, sparc, armel |
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 20.04 “Focal Fossa” (focal) |
0.25.3+dfsg-7 |
||
Ubuntu 22.04 “Jammy Jellyfish” (jammy) |
1.3.5+dfsg-3 |
||
Ubuntu 24.04 “Noble Numbat” (noble) |
2.1.4+dfsg-7 |