pandas provides NumPy-based data structures and statistical tools for common time series and cross-sectional data sets. It is intended to accomplish the following: * Simplify working with possibly labeled 1, 2, and 3 dimensional heterogeneous data sets commonly found in statistics, finance, and econometrics. * Provide IO utilities for getting data in and out of pandas * Implement common statistical models with a convenient interface, handling missing data and other common problems associated with messy statistical data sets
5 lines
252 B
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5 lines
252 B
Text
$NetBSD: distinfo,v 1.1.1.1 2010/06/12 23:28:58 jihbed Exp $
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SHA1 (pandas-0.2beta.tar.gz) = 0afc825a00a1470eafb3906572f5db3cd1b19805
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RMD160 (pandas-0.2beta.tar.gz) = b1c611a8443837393fbdff467565a2c2597b8732
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Size (pandas-0.2beta.tar.gz) = 194185 bytes
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