Index _ | A | B | C | D | E | F | G | H | I | J | L | M | N | O | P | R | S | T | U | V | W | X | Z _ __call__() (lnpy.segment.BuildPhases_dmu method) (lnpy.segment.BuildPhases_mu method) (lnpy.segment.BuildPhasesBase method) (lnpy.stability.Binodals method) (lnpy.stability.Spinodals method) A access (lnpy.stability.StabilityBase attribute) AccessorMixin (class in lnpy.extensions) add_note() (lnpy.combine.OverlapError method) adjust() (lnPi.maskedlnpi_legacy.MaskedlnPiLegacy method) and_mask() (lnPi.maskedlnpi_legacy.MaskedlnPiLegacy method) (lnpy.lnpidata.lnPiMasked method) append() (lnpy.lnpiseries.lnPiCollection method) append_to_parent() (lnpy.stability.StabilityBase method) appender (lnpy.stability.StabilityBase property) apply() (lnpy.lnpiseries.lnPiCollection method) array_to_scalar() (in module lnpy.utils) B beta (lnpy.ensembles.xGrandCanonical property) (lnpy.lnpidata.lnPiMasked property) betaE() (lnpy.ensembles.xCanonical method) (lnpy.ensembles.xGrandCanonical method) betaE_n() (lnpy.ensembles.xCanonical method) (lnpy.ensembles.xGrandCanonical method) betaF() (lnpy.ensembles.xCanonical method) (lnpy.ensembles.xGrandCanonical method) betaF_alt() (lnpy.ensembles.xGrandCanonical method) betaF_n() (lnpy.ensembles.xCanonical method) (lnpy.ensembles.xGrandCanonical method) betaG (lnpy.ensembles.xGrandCanonical property) betaG_n (lnpy.ensembles.xGrandCanonical property) betamu (lnpy.ensembles.xGrandCanonical attribute) (lnpy.lnpidata.lnPiMasked property) betamu() (lnpy.ensembles.xCanonical method) betaOmega() (lnpy.ensembles.xCanonical method) (lnpy.ensembles.xGrandCanonical method) betaOmega_n() (lnpy.ensembles.xCanonical method) (lnpy.ensembles.xGrandCanonical method) betapV() (lnpy.ensembles.xCanonical method) (lnpy.ensembles.xGrandCanonical method) bfill() (in module lnpy.utils) binodal (lnpy.lnpiseries.lnPiCollection attribute) Binodals (class in lnpy.stability) build_phases (lnpy.examples.Example attribute) build_phases() (lnpy.segment.PhaseCreator method) build_phases_dmu() (lnpy.segment.PhaseCreator method) build_phases_mu() (lnpy.segment.PhaseCreator method) BuildPhases_dmu (class in lnpy.segment) BuildPhases_mu (class in lnpy.segment) BuildPhasesBase (class in lnpy.segment) C check_windows_overlap() (in module lnpy.combine) combine_dropfirst() (in module lnpy.combine) combine_scaled_lnpi() (in module lnpy.combine) combine_updown_mean() (in module lnpy.combine) concat() (lnpy.lnpiseries.lnPiCollection class method) concat_like() (lnpy.lnpiseries.lnPiCollection method) copy_shallow() (lnPi.maskedlnpi_legacy.MaskedlnPiLegacy method) D data (lnpy.lnpidata.lnPiMasked property) dataset_to_lnpimasked() (in module lnpy.utils) decorate_accessor() (lnpy.extensions.AccessorMixin class method) (lnpy.lnpidata.lnPiMasked class method) delta_lnpi_from_updown() (in module lnpy.combine) delta_w (lnpy.lnpienergy.wFreeEnergy attribute) dens (lnpy.ensembles.xCanonical property) (lnpy.ensembles.xGrandCanonical property) dens_tot (lnpy.ensembles.xGrandCanonical property) dims_comp (lnpy.ensembles.xGrandCanonical property) dims_lnz (lnpy.ensembles.xGrandCanonical property) dims_n (lnpy.ensembles.xGrandCanonical property) dims_rec (lnpy.ensembles.xGrandCanonical property) dims_state (lnpy.ensembles.xGrandCanonical property) distance_matrix() (in module lnpy.utils) droplevel() (lnpy.lnpiseries.lnPiCollection method) dtype (lnpy.lnpidata.lnPiMasked property) dw (lnpy.lnpienergy.wFreeEnergyCollection property) (lnpy.lnpienergy.wFreeEnergyPhases property) dwx (lnpy.lnpienergy.wFreeEnergyCollection property) (lnpy.lnpienergy.wFreeEnergyPhases property) E edge_distance() (lnpy.ensembles.xGrandCanonical method) (lnpy.lnpidata.lnPiMasked method) edge_distance_matrix (lnPi.maskedlnpi_legacy.MaskedlnPiLegacy attribute) (lnpy.lnpidata.lnPiMasked attribute) edge_distance_val() (lnpy.ensembles.xGrandCanonical method) Example (class in lnpy.examples) ExampleDict (class in lnpy.examples) extra_kws (lnPi.maskedlnpi_legacy.MaskedlnPiLegacy property) (lnpy.lnpidata.lnPiMasked property) F filled() (lnpy.lnpidata.lnPiMasked method) find_boundaries() (in module lnpy.lnpienergy) find_boundaries_overlap() (in module lnpy.lnpienergy) find_masked_extrema() (in module lnpy.lnpienergy) from_builder() (lnpy.lnpiseries.lnPiCollection class method) from_data() (lnpy.lnpidata.lnPiMasked class method) from_dataarray() (lnPi.maskedlnpi_legacy.MaskedlnPiLegacy class method) (lnpy.lnpidata.lnPiMasked class method) (lnpy.lnpiseries.lnPiCollection class method) from_labels() (lnpy.lnpienergy.wFreeEnergy class method) (lnpy.lnpiseries.lnPiCollection class method) from_list() (lnpy.lnpiseries.lnPiCollection class method) from_table() (lnPi.maskedlnpi_legacy.MaskedlnPiLegacy class method) (lnpy.lnpidata.lnPiMasked class method) G get_dw() (lnpy.lnpienergy.wFreeEnergyCollection method) (lnpy.lnpienergy.wFreeEnergyPhases method) get_dwx() (lnpy.lnpienergy.wFreeEnergyCollection method) (lnpy.lnpienergy.wFreeEnergyPhases method) get_index_level() (lnpy.lnpiseries.lnPiCollection method) get_lnz_iter() (in module lnpy.utils) get_spinodal() (in module lnpy.stability) groupby() (lnpy.lnpiseries.lnPiCollection method) groupby_allbut() (lnpy.lnpiseries.lnPiCollection method) H hsmix_example() (in module lnpy.examples) I index (lnpy.lnpiseries.lnPiCollection property) (lnpy.segment.BuildPhases_dmu property) (lnpy.segment.BuildPhases_mu property) (lnpy.segment.BuildPhasesBase property) index_frame (lnpy.lnpiseries.lnPiCollection attribute) items (lnpy.lnpiseries.lnPiCollection property) (lnpy.stability.StabilityBase property) J json_to_dict() (in module lnpy.examples) L labels_to_masks() (in module lnpy.utils) list_from_labels() (lnPi.maskedlnpi_legacy.MaskedlnPiLegacy method) (lnpy.lnpidata.lnPiMasked method) list_from_masks() (lnPi.maskedlnpi_legacy.MaskedlnPiLegacy method) (lnpy.lnpidata.lnPiMasked method) lj_sub_example() (in module lnpy.examples) lj_sup_example() (in module lnpy.examples) ljmix_sup_example() (in module lnpy.examples) lnPi module lnpi() (lnpy.ensembles.xCanonical method) (lnpy.ensembles.xGrandCanonical method) lnPi.maskedlnpi_legacy module lnpi_from_updown() (in module lnpy.combine) lnpi_max() (lnpy.ensembles.xGrandCanonical method) lnpi_norm (lnpy.ensembles.xGrandCanonical property) lnPiArray (class in lnpy.lnpidata) lnPiCollection (class in lnpy.lnpiseries) lnPiMasked (class in lnpy.lnpidata) lnpimasked_to_dataset() (in module lnpy.utils) lnpy module lnpy._typing module lnpy.combine module lnpy.ensembles module lnpy.examples module lnpy.lnpidata module lnpy.lnpienergy module lnpy.lnpiseries module lnpy.options module lnpy.segment module lnpy.stability module lnpy.utils module lnz (lnpy.ensembles.xGrandCanonical property) (lnpy.lnpidata.lnPiMasked property) load_example_dict() (in module lnpy.examples) load_example_lnpimasked() (in module lnpy.examples) local_argmax() (lnpy.lnpidata.lnPiMasked method) local_max() (lnpy.lnpidata.lnPiMasked method) local_maxmask() (lnpy.lnpidata.lnPiMasked method) M ma (lnpy.lnpidata.lnPiMasked property) mask (lnpy.lnpidata.lnPiMasked property) mask_change_convention() (in module lnpy.utils) mask_stable (lnpy.ensembles.xGrandCanonical attribute) MaskConvention (in module lnpy._typing) MaskedlnPiLegacy (class in lnPi.maskedlnpi_legacy) masks_change_convention() (in module lnpy.utils) masks_to_labels() (in module lnpy.utils) max() (lnpy.ensembles.xGrandCanonical method) mean_pi() (lnpy.ensembles.xGrandCanonical method) merge_regions() (in module lnpy.lnpienergy) (lnpy.lnpienergy.wFreeEnergy method) module lnPi lnPi.maskedlnpi_legacy lnpy lnpy._typing lnpy.combine lnpy.ensembles lnpy.examples lnpy.lnpidata lnpy.lnpienergy lnpy.lnpiseries lnpy.options lnpy.segment lnpy.stability lnpy.utils molfrac (lnpy.ensembles.xGrandCanonical property) MyNDArray (in module lnpy._typing) N name (lnpy.lnpiseries.lnPiCollection property) ncoords (lnpy.ensembles.xCanonical attribute) (lnpy.ensembles.xGrandCanonical property) ncoords_tot (lnpy.ensembles.xGrandCanonical property) new_like() (lnpy.lnpidata.lnPiArray method) (lnpy.lnpidata.lnPiMasked method) (lnpy.lnpiseries.lnPiCollection method) nfeature (lnpy.lnpienergy.wFreeEnergy property) nlnz (lnpy.lnpiseries.lnPiCollection property) normalize_lnpi() (in module lnpy.combine) ntot (lnpy.ensembles.xCanonical attribute) (lnpy.ensembles.xGrandCanonical attribute) ntot_var (lnpy.ensembles.xGrandCanonical attribute) nvec (lnpy.ensembles.xCanonical property) (lnpy.ensembles.xGrandCanonical attribute) nvec_var (lnpy.ensembles.xGrandCanonical attribute) O optinfo (lnPi.maskedlnpi_legacy.MaskedlnPiLegacy property) Options (class in lnpy.options) OptionsReq (class in lnpy.options) or_mask() (lnPi.maskedlnpi_legacy.MaskedlnPiLegacy method) (lnpy.lnpidata.lnPiMasked method) OverlapError P pad() (lnPi.maskedlnpi_legacy.MaskedlnPiLegacy method) (lnpy.lnpidata.lnPiArray method) (lnpy.lnpidata.lnPiMasked method) parent (lnpy.stability.StabilityBase property) PE (lnpy.ensembles.xCanonical attribute) (lnpy.ensembles.xGrandCanonical attribute) PE_n (lnpy.ensembles.xCanonical property) (lnpy.ensembles.xGrandCanonical property) peak_local_max_adaptive() (in module lnpy.segment) peaks() (lnpy.segment.Segmenter method) phase_creator (lnpy.examples.Example attribute) PhaseCreator (class in lnpy.segment) PhasesFactorySignature (in module lnpy._typing) pi_norm (lnpy.ensembles.xGrandCanonical property) pi_norm_max() (lnpy.ensembles.xGrandCanonical method) pi_sum (lnpy.ensembles.xGrandCanonical property) pipe() (lnpy.ensembles.xGrandCanonical method) pressure() (lnpy.ensembles.xCanonical method) (lnpy.ensembles.xGrandCanonical method) R ref (lnpy.examples.Example attribute) register_accessor() (lnpy.extensions.AccessorMixin class method) (lnpy.lnpidata.lnPiMasked class method) reweight() (lnPi.maskedlnpi_legacy.MaskedlnPiLegacy method) (lnpy.lnpidata.lnPiMasked method) RootResultDict (class in lnpy.utils) rootresults_to_rootresultdict() (in module lnpy.utils) RootResultTotal (class in lnpy.stability) S s (lnpy.lnpiseries.lnPiCollection property) S() (lnpy.ensembles.xCanonical method) (lnpy.ensembles.xGrandCanonical method) S_n() (lnpy.ensembles.xCanonical method) (lnpy.ensembles.xGrandCanonical method) segment_lnpi() (lnpy.segment.Segmenter method) Segmenter (class in lnpy.segment) series (lnpy.lnpiseries.lnPiCollection property) set_options (class in lnpy.options) shape (lnpy.lnpidata.lnPiMasked property) smooth() (lnPi.maskedlnpi_legacy.MaskedlnPiLegacy method) sort_index() (lnpy.lnpiseries.lnPiCollection method) spinodal (lnpy.lnpiseries.lnPiCollection attribute) Spinodals (class in lnpy.stability) StabilityBase (class in lnpy.stability) state_kws (lnPi.maskedlnpi_legacy.MaskedlnPiLegacy property) (lnpy.lnpidata.lnPiMasked property) (lnpy.lnpiseries.lnPiCollection property) T T_Ensemble (class in lnpy._typing) table() (lnpy.ensembles.xCanonical method) (lnpy.ensembles.xGrandCanonical method) TagPhasesSignature (in module lnpy._typing) to_dataarray() (lnpy.lnpiseries.lnPiCollection method) to_dict() (lnpy.examples.Example method) U unpack() (lnpy.examples.Example method) updown_from_collectionmatrix() (in module lnpy.combine) V Validators (class in lnpy.options) values (lnpy.lnpiseries.lnPiCollection property) var_pi() (lnpy.ensembles.xGrandCanonical method) volume (lnpy.ensembles.xGrandCanonical property) (lnpy.lnpidata.lnPiMasked property) W w_argmin (lnpy.lnpienergy.wFreeEnergy property) (lnpy.lnpienergy.wFreeEnergyCollection property) (lnpy.lnpienergy.wFreeEnergyPhases property) w_argtran (lnpy.lnpienergy.wFreeEnergy property) (lnpy.lnpienergy.wFreeEnergyCollection property) (lnpy.lnpienergy.wFreeEnergyPhases property) w_min (lnpy.lnpienergy.wFreeEnergy property) (lnpy.lnpienergy.wFreeEnergyCollection property) (lnpy.lnpienergy.wFreeEnergyPhases property) w_tran (lnpy.lnpienergy.wFreeEnergy property) (lnpy.lnpienergy.wFreeEnergyCollection property) (lnpy.lnpienergy.wFreeEnergyPhases property) watershed() (lnpy.segment.Segmenter method) wfe (lnpy.lnpiseries.lnPiCollection attribute) wfe_phases (lnpy.lnpiseries.lnPiCollection attribute) wFreeEnergy (class in lnpy.lnpienergy) wFreeEnergyCollection (class in lnpy.lnpienergy) wFreeEnergyPhases (class in lnpy.lnpienergy) with_traceback() (lnpy.combine.OverlapError method) wlnPi (lnpy.lnpiseries.lnPiCollection property) wlnPi_single (lnpy.lnpiseries.lnPiCollection property) wrap_list_results() (lnpy.lnpiseries.lnPiCollection method) X xCanonical (class in lnpy.ensembles) xce (lnpy.lnpidata.lnPiMasked attribute) xge (lnpy.lnpidata.lnPiMasked attribute) (lnpy.lnpiseries.lnPiCollection attribute) xGrandCanonical (class in lnpy.ensembles) xlnPiWrapper (class in lnpy.ensembles) xr_name() (in module lnpy.ensembles) xs() (lnpy.lnpiseries.lnPiCollection method) Z Z() (lnpy.ensembles.xCanonical method) (lnpy.ensembles.xGrandCanonical method) zeromax() (lnPi.maskedlnpi_legacy.MaskedlnPiLegacy method) (lnpy.lnpidata.lnPiArray method) (lnpy.lnpidata.lnPiMasked method)