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Utility functions for analyzing scientific data.

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Quantalyze

If your analysis and visualization workflow is some combination of pandas, numpy, scipy and matplotlib, it is likely that quantalyze can save you a lot of time. Quantalyze is a set of utility functions that facilitate the analysis of scientific data. Most of the operations are designed to work on pandas.DataFrame objects and functionality is pulled from a combination of numpy, scipy.

Non-domain-specific functionality is contained within the core module. Domain-specific utilities are contained within their respective modules and import from the core module. For example, the transport module contains a function that calculates the magnetoresistance from resistivity data taken in magnetic fields that pulls its functionality from core.smoothing (binning onto equally spaced x values) and core.symmetrization (the symmetrization in field).

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