gSolve Algorithms and Outputs

gSolve Algorithms and Outputs#

`call_gsolve_lstsq`(obs, ref_sites, method[, ...])	Calculate drift and adjust gravity observations.
`g_solver_lstsq`(obs_g, obs_site_id, ...[, ...])	Least squares solution for gravity drift.

Results of a gSolve network adjustment.

`GSolveResults`(method, use_loops, ...)	Class to store the results from a gsolve network adjustment.
`GSolveResults.calibration_factor`	Convenience property to access the calculated calibration factor.
`GSolveResults.plot_residual_cdf`([loop, ...])	Plot the empirical cumulative density function of residuals.
`GSolveResults.plot_residual_drift`(loop[, ...])	Plot the residuals and drift curve.
`GSolveResults.set_inputs`(obs, ref_sites)	Add input data used in the gsolve run.
`GSolveResults.set_solutions`(results)	Set the results from a gsolve run.

Class for storing network adjustment parameters and solution metadata.

`GSolveSolutionParameters`(method, use_loops, ...)	Class to store input parameters and solution metadata for a Gsolve solution.
`GSolveSolutionParameters.calculated_calibration_factor`
`GSolveSolutionParameters.copy`()	Return a deep copy of object.
`GSolveSolutionParameters.default_values`()	Return dict of default parameter values.
`GSolveSolutionParameters.from_series`(ds[, ...])	Generate a GsolveParameters object from a pandas.Series.
`GSolveSolutionParameters.gsolve_run_datetime`
`GSolveSolutionParameters.gsolve_version`
`GSolveSolutionParameters.non_default_values`()	Return dict of non-default parameter values.
`GSolveSolutionParameters.summary`([...])	Return parameters as strings in the form 'param: value'.
`GSolveSolutionParameters.to_dict`()	Return parameters as a dict.
`GSolveSolutionParameters.to_excel`(fname[, ...])	Write parameters to an Excel worksheet.
`GSolveSolutionParameters.to_series`([...])	Return parameters as a Series with parameter names as the index.