Package: python-pandas-doc (2.2.2+dfsg-3)

Links for python-pandas-doc

Debian Resources:

Download Source Package pandas:

Maintainers:

Debian Science Team (QA Page, Mail Archive)
Yaroslav Halchenko (QA Page)
Michael Hanke (QA Page)
Rebecca N. Palmer (QA Page)

External Resources:

Homepage [pandas.pydata.org]

Similar packages:

Experimental package

Warning: This package is from the experimental distribution. That means it is likely unstable or buggy, and it may even cause data loss. Please be sure to consult the changelog and other possible documentation before using it.

data structures for "relational" or "labeled" data - documentation

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 documentation.

Other Packages Related to python-pandas-doc

depends

recommends

suggests

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dep: libjs-mathjax

JavaScript display engine for LaTeX and MathML
dep: libjs-sphinxdoc (>= 7.2.2)

JavaScript support for Sphinx documentation

sug: python3-pandas

data structures for "relational" or "labeled" data

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