mescla.types¶
Core data containers shared across Mescla.
The containers are deliberately thin: they carry a numeric matrix plus the labels
needed to keep species and samples straight, and they know how to convert to and
from pandas.DataFrame. Every public function in the library accepts plain
arrays, DataFrames or these containers, and returns a result object from here.
Notation follows Carrera et al. (2004) throughout:
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number of end-members |
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number of mixed samples ( |
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number of chemical species |
Classes
A matrix of concentrations with row and column labels. |
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Per-species goodness-of-fit for a mixing model (Hooper, 2003). |
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Outcome of an End-Member Mixing Analysis. |
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Chemistry of the candidate source waters (end-members). |
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Mixing ratios for a set of samples, plus whatever the estimator revised. |
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Chemistry of mixed water samples -- the waters whose origin you want to explain. |