export2csv
export2csv (tvars:list, path)
ProcessConfig
ProcessConfig (tvar:str=None, trans:list[__main__.TransformOp]=[])
*Usage docs: https://docs.pydantic.dev/2.7/concepts/models/
A base class for creating Pydantic models.
Attributes: class_vars: The names of classvars defined on the model. private_attributes: Metadata about the private attributes of the model. signature: The signature for instantiating the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer.
__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_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__: An instance attribute with the values of extra fields from validation when
`model_config['extra'] == 'allow'`.
__pydantic_fields_set__: An instance attribute with the names of fields explicitly set.
__pydantic_private__: Instance attribute with the values of private attributes set on the model instance.*TransformOp
TransformOp (name:str, transform_func:Callable[[str],str]=None, **extra_data:Any)
Transformation operation
magnitude_join
magnitude_join (tvar:str)
mva
mva (tvar:str, prefix='B')
magnitude
magnitude (tvar:str)
GraphicalConfig
GraphicalConfig (ylabel:str=None)
*Usage docs: https://docs.pydantic.dev/2.7/concepts/models/
A base class for creating Pydantic models.
Attributes: class_vars: The names of classvars defined on the model. private_attributes: Metadata about the private attributes of the model. signature: The signature for instantiating the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer.
__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_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__: An instance attribute with the values of extra fields from validation when
`model_config['extra'] == 'allow'`.
__pydantic_fields_set__: An instance attribute with the names of fields explicitly set.
__pydantic_private__: Instance attribute with the values of private attributes set on the model instance.*TplotConfig
TplotConfig (tvar:str=None, trans:list[str]=None)
*Usage docs: https://docs.pydantic.dev/2.7/concepts/models/
A base class for creating Pydantic models.
Attributes: class_vars: The names of classvars defined on the model. private_attributes: Metadata about the private attributes of the model. signature: The signature for instantiating the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer.
__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_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__: An instance attribute with the values of extra fields from validation when
`model_config['extra'] == 'allow'`.
__pydantic_fields_set__: An instance attribute with the names of fields explicitly set.
__pydantic_private__: Instance attribute with the 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)
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)
load_data
load_data (config:space_analysis.ds.config.PanelConfig, load_func=None)