retrieved_variable_config

Classes:

Name	Description
RetrievedVariableConfig	Specifies how the variable should be retrieved from the raw dataset and the

Classes

RetrievedVariableConfig

Bases: BaseModel

Specifies how the variable should be retrieved from the raw dataset and the preprocessing steps (i.e. DataConverters) that should be applied.

Attributes:

Name	Type	Description
data_converters	List[DataConverterConfig]
name	Union[str, List[str]]

Attributes

data_converters class-attribute instance-attribute

data_converters: List[DataConverterConfig] = Field(
    [],
    description="A list of DataConverters to run for this variable. Common choices include the tsdat UnitsConverter (classname: 'tsdat.io.converters.UnitsConverter') to convert the variable's data from its input units to specified output units, and the tsdat StringToDatetime converter (classname: 'tsdat.io.converters.StringToDatetime'), which takes dates/times formatted as strings and converts them into a datetime64 object that can be used throughout the rest of the pipeline. This property is optional and defaults to [].",
)

name class-attribute instance-attribute

name: Union[str, List[str]] = Field(
    description="The exact name or list of names of the variable in the raw dataset returned by the DataReader."
)