Source: pandas Tasks: debian-science/statistics Homepage: http://pandas.sourceforge.net Author: Wes McKinney Language: Python, Cython License: BSD-3 Version: 0.4.0 Pkg-Description: 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 Pkg-URL: http://neuro.debian.net/pkgs/cctools.html WNPP: 641464