headgroup_hydration
Headgroup hydration analysis using RDFs.
func_volume_frame(atomgroup, *_args) → floatparamatomgroupparam_args= ()Returns
floatfunc_first_minimum(r, g_r) → floatparamrnp.ndarrayparamg_rnp.ndarrayReturns
floatfuncheadgroup_hydration(simulation, *, start_ns=100.0, stride=5, r_max=10.0, n_bins=200, backend='multiprocessing', n_workers=4) → pd.DataFrameCompute headgroup-water RDFs and hydration numbers.
paramsimulationSimulationSimulation instance with universe and build input.
paramstart_nsfloat | None= 100.0Start time for analysis in ns.
paramstrideint= 5Frame stride.
paramr_maxfloat= 10.0Maximum distance for RDF in Angstrom.
paramn_binsint= 200Number of RDF bins.
parambackendstr= 'multiprocessing'MDAnalysis backend for parallel execution.
paramn_workersint= 4Number of workers for parallel execution.
Returns
pandas.DataFrameColumns: resname, r, g_r, hydration_number, first_min_r.
