InitialInputData

class lsst.meas.extensions.multiprofit.fit_coadd_multiband.InitialInputData(*, column_id: str | None = None, config_input: InputConfig, data: Table, name_model: str, prefix_column: str, size_column: str = 'reff')

Bases: BaseModel

A configurable wrapper to retrieve formatted columns from a catalog.

This provides a common interface to typical MultiProFit table outputs.

Attributes Summary

model_config

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Methods Summary

get_column(name_column[, data])	Get the values from a column.
get_column_id()	Return the name of the object ID column.
model_post_init(_InitialInputData__context)	Override this method to perform additional initialization after __init__ and model_construct.

Attributes Documentation

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'frozen': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Methods Documentation

get_column(name_column: str, data=None)

Get the values from a column.

Parameters

name_column

The name of the column to retrieve.

data

The catalog to retrieve the column from. Default is self.data.

Returns

values

The column values.

get_column_id()

Return the name of the object ID column.

model_post_init(_InitialInputData__context: Any) → None

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.