GraphicalConfig
GraphicalConfig (ylabel:str=None)
*Usage docs: https://docs.pydantic.dev/2.9/concepts/models/
A base class for creating Pydantic models.
Attributes:
class_vars: The names of the class variables defined on the model.
private_attributes: Metadata about the private attributes of the model.
signature: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom `__init__` function.
__pydantic_decorators__: Metadata containing the decorators defined on the model.
This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to
__args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel].
__pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model.
__pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model.
__pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra]
is set to `'allow'`.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.*TplotConfig
TplotConfig (tvar:str=None, trans:list[str]=None)
*Usage docs: https://docs.pydantic.dev/2.9/concepts/models/
A base class for creating Pydantic models.
Attributes:
class_vars: The names of the class variables defined on the model.
private_attributes: Metadata about the private attributes of the model.
signature: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom `__init__` function.
__pydantic_decorators__: Metadata containing the decorators defined on the model.
This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to
__args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel].
__pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model.
__pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model.
__pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra]
is set to `'allow'`.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.*ProcessConfig
ProcessConfig (tvar:str=None, trans:list=[])
*Usage docs: https://docs.pydantic.dev/2.9/concepts/models/
A base class for creating Pydantic models.
Attributes:
class_vars: The names of the class variables defined on the model.
private_attributes: Metadata about the private attributes of the model.
signature: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom `__init__` function.
__pydantic_decorators__: Metadata containing the decorators defined on the model.
This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to
__args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel].
__pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model.
__pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model.
__pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra]
is set to `'allow'`.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.*export
export (tvars2plot:list, config:space_analysis.ds.config.Config, plot_kwargs:dict=None, **kwargs)
plot
plot (tvars2plot:list[str], config:space_analysis.ds.config.Config, fig:matplotlib.figure.Figure=None, axes:list[matplotlib.axes._axes.Axes]=None, **kwargs)
update_panel
update_panel (ax:matplotlib.axes._axes.Axes, config:space_analysis.ds.config.PanelConfig)
process
process (tvar:str|list[str], config:__main__.ProcessConfig)
load_data
load_data (config:space_analysis.ds.config.PanelConfig, load_func=None)
process_panel
process_panel (config:space_analysis.ds.config.PanelConfig, process_func=<function process>, load_func=<function load_data>, update_func=<function update_tvar>)
update_tvar
update_tvar (tvar, config:space_analysis.ds.config.PanelConfig)