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Importing and fitting tool for scientific text data.

Project description

DataPipeline is a python desktop and command line application that uses the fitting and plotting libraries from PEAT to automate the import of raw data in a variety of formats. It is also used for transforming the imported data through various stages of fitting to achieve a final measured parameter. This is useful for handling large amounts of data (e.g from csv files) in a consistent way without having to store everything in spreadsheets.

See http://code.google.com/p/peat/wiki/DataPipeline

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1.2

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1.1

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1.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
DataPipeline-1.2.tar.gz (719.6 kB) Copy SHA256 hash SHA256 Source None Oct 23, 2012

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