xover: crossover analysis tools for GLODAP
Installation
pip install xover
conda install conda-forge::xover
Use
The current version of xover does not contain code for running an initial crossover analysis, but rather for doing the inversion to find a set of suggested adjustments for a given network of crossovers, using the furthest-first approach (new for GLODAP v3; earlier versions used a different method).
The main function needed is xover.inversion.furthest_first; suggested import as follows:
import xover.inversion as xinv
ff = xinv.furthest_first(xovers, **kwargs)
Consult the function docstring for more information about the format of xovers and other possible kwargs, plus the contents of the output ff.
Version 1 (MATLAB)
Version 1 of xover contained some tools for performing the initial crossover analysis in MATLAB. The code can be found in the matlab branch, on the v1.0 release and/or on Zenodo with the DOI 10.5281/zenodo.2600229.
1 maintainer
Metadata
1 maintainer
Release files for xover 2.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| xover-2.0.0.tar.gz | 20.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| xover-2.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 39.5 kB
Release files / xover-2.0.0.tar.gz
| Download URL | xover-2.0.0.tar.gz |
|---|---|
| Size | 20.8 kB |
| Tags | Source |
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Release files / xover-2.0.0-py3-none-any.whl
| Download URL | xover-2.0.0-py3-none-any.whl |
|---|---|
| Size | 18.8 kB |
| Tags | Python 3 |
|
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