FloatColumnSpec

final class lsst.daf.butler.column_spec.FloatColumnSpec(*, name: str, doc: str = '', type: Literal['float'] = 'float', nullable: bool = True)

Bases: _BaseColumnSpec

Description of a float column.

Attributes Summary

model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_fields	Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

Methods Summary

to_arrow()

Return an object that converts values of this column to a column in an Arrow table.

Attributes Documentation

model_config: ClassVar[ConfigDict] = {}

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

model_fields: ClassVar[dict[str, FieldInfo]] = {'doc': FieldInfo(annotation=str, required=False, default='', description='Documentation for the column.'), 'name': FieldInfo(annotation=str, required=True, description='Name of the column.'), 'nullable': FieldInfo(annotation=bool, required=False, default=True, description='Whether the column may be ``NULL``.'), 'type': FieldInfo(annotation=Literal['float'], required=False, default='float')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

Methods Documentation

to_arrow() → ToArrow

Return an object that converts values of this column to a column in an Arrow table.

Returns:

converterarrow_utils.ToArrow

A converter object with schema information in Arrow form.