開発版ドキュメント · 0.2.3 30c2f8ba · 入門例の検証対象 0.2.3 · 版情報 · 既知の制限

gwexpy.interop.sdypy_#

Interoperability with SDyPy and pyuff (Universal File Format).

Functions

from_uff_dataset55(uff_data)

Convert a pyuff dataset-55 dict to a pandas.DataFrame.

from_uff_dataset58(cls, uff_data, *[, ...])

Convert a pyuff dataset-58 dict to TimeSeries or FrequencySeries.
gwexpy.interop.sdypy_.from_uff_dataset58(cls: type, uff_data: dict, *, response_type: str | None = None) → Any#

Convert a pyuff dataset-58 dict to TimeSeries or FrequencySeries.

パラメータ:

  • cls (type) -- TimeSeries or FrequencySeries. If None or ambiguous, the function type field in the UFF data is used to auto-select.

  • uff_data (dict) -- A single dataset-58 record as returned by pyuff.UFF().read_sets(). Expected keys: "x", "data", "func_type", "id1" (description), "rsp_dir", "ref_dir", etc.

  • response_type (str, optional) -- Override for unit inference (e.g. "accel").

戻り値の型:

TimeSeries or FrequencySeries

gwexpy.interop.sdypy_.from_uff_dataset55(uff_data: dict) → Any#

Convert a pyuff dataset-55 dict to a pandas.DataFrame.

Dataset type 55 contains modal model data: natural frequencies, modal damping, and mode shapes.

パラメータ:

uff_data (dict) -- A single dataset-55 record from pyuff.UFF().read_sets(). Expected keys: "modal_m" (mode number), "modal_freq", "modal_damp", "modal_viscous_damp", "r1"–"r6" (DOF responses), "node_nums", etc.

戻り値の型:

pandas.DataFrame