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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Requirements:
· Python
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