gplugins.sax.plot_model

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gplugins.sax.plot_model#

gplugins.sax.plot_model(model: Annotated[Annotated[Callable[[...], dict[tuple[Annotated[str, PlainValidator(func=val_port, json_schema_input_type=Any)], Annotated[str, PlainValidator(func=val_port, json_schema_input_type=Any)]], Annotated[Array, complexfloating, PlainValidator(func=val_complex_array, json_schema_input_type=Any)]]], PlainValidator(func=val_model, json_schema_input_type=Any)] | Annotated[Callable[[...], tuple[Annotated[Array, complexfloating, PlainValidator(func=val_complex_array, json_schema_input_type=Any)], dict[Annotated[str, PlainValidator(func=val_port, json_schema_input_type=Any)], int]]], PlainValidator(func=val_model, json_schema_input_type=Any)] | Annotated[Callable[[...], tuple[Annotated[Array | ndarray, signedinteger, 1, PlainValidator(func=val_int_array_1d, json_schema_input_type=Any)], Annotated[Array | ndarray, signedinteger, 1, PlainValidator(func=val_int_array_1d, json_schema_input_type=Any)], Annotated[Array, complexfloating, PlainValidator(func=val_complex_array, json_schema_input_type=Any)], dict[Annotated[str, PlainValidator(func=val_port, json_schema_input_type=Any)], int]]], PlainValidator(func=val_model, json_schema_input_type=Any)], PlainValidator(func=val_model, json_schema_input_type=Any)] | Annotated[Annotated[Callable[[...], tuple[Annotated[Array, complexfloating, PlainValidator(func=val_complex_array, json_schema_input_type=Any)], dict[Annotated[str, PlainValidator(func=val_port_mode, json_schema_input_type=Any)], int]]], PlainValidator(func=val_model, json_schema_input_type=Any)] | Annotated[Callable[[...], tuple[Annotated[Array | ndarray, signedinteger, 1, PlainValidator(func=val_int_array_1d, json_schema_input_type=Any)], Annotated[Array | ndarray, signedinteger, 1, PlainValidator(func=val_int_array_1d, json_schema_input_type=Any)], Annotated[Array, complexfloating, PlainValidator(func=val_complex_array, json_schema_input_type=Any)], dict[Annotated[str, PlainValidator(func=val_port_mode, json_schema_input_type=Any)], int]]], PlainValidator(func=val_model, json_schema_input_type=Any)] | Annotated[Callable[[...], dict[tuple[Annotated[str, PlainValidator(func=val_port_mode, json_schema_input_type=Any)], Annotated[str, PlainValidator(func=val_port_mode, json_schema_input_type=Any)]], Annotated[Array, complexfloating, PlainValidator(func=val_complex_array, json_schema_input_type=Any)]]], PlainValidator(func=val_model, json_schema_input_type=Any)], PlainValidator(func=val_model, json_schema_input_type=Any)], port1: str = 'o1', ports2: tuple[str, ...] | None = None, logscale: bool = True, fig=None, wavelength_start: float = 1.5, wavelength_stop: float = 1.6, wavelength_points: int = 2000, phase: bool = False) → None[source]#

Plot Model Sparameters Magnitude.

Parameters:

  • model – function that returns SDict as function of wavelength.

  • port1 – input port name.

  • ports2 – list of ports.

  • logscale – plots in dB logarithmic scale.

  • fig – matplotlib figure.

  • wavelength_start – wavelength min (um).

  • wavelength_stop – wavelength max (um).

  • wavelength_points – number of wavelength steps.

  • phase – plot phase instead of magnitude.

import gplugins.sax as gs

gs.plot_model(gs.models.straight, phase=True, port1="o1")

(Source code, png, hires.png, pdf)

../_images/gplugins-sax-plot_model-1.png
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