Pacote: python-pandas-doc (2.3.1+dfsg-1)

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Pagina principal [pandas.pydata.org]

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Aviso: este pacote é da distribuição experimental. Isso significa que provavelmente é instável ou tem erros, e pode até causar perda de dados. Certifique-se de consultar o changelog e outras documentações antes de usá-lo.

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.

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dep: libjs-mathjax

JavaScript display engine for LaTeX and MathML
dep: libjs-sphinxdoc (>= 8.2)

JavaScript support for Sphinx documentation

sug: python3-pandas

data structures for "relational" or "labeled" data

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