PatchAttrs

class of dascore.core.attrs
inherits from: DascoreBaseModel, pydantic.main.BaseModel

PatchAttrs(
    data_type: Literal[’‘, ’velocity’, ‘strain_rate’, ‘phase’, ‘strain’, ‘temperature’, ‘temperature_gradient’] = ““,
    data_category: Literal[’‘, ’DAS’, ‘DTS’, ‘DSS’] =”“,
    data_units: Quantity | str | None = None,
    instrument_id: str =”“,
    acquisition_id: str =”“,
    tag: str =”“,
    station: str =”“,
    network: str =”“,
    history: str | tuple[str, tuple[str, …]] = None,
    dims: str =”“,
    coords: dascore.utils.mapping.FrozenDict[str, CoordSummary] = None,
    **extra_data ,
)-> None

The expected attributes for a Patch.

The default attributes are:

attribute	description
data_type	Describes the quantity being measured.
data_category	Describes the type of data.
data_units	The units of the data measurements
instrument_id	A unique id for the instrument which generated the data.
acquisition_id	A unique identifier linking this data to an experiment.
tag	A custom string field.
station	A station code.
network	A network code.
history	A list of processing performed on the patch.
dims	A tuple of comma-separated dimensions names.

Methods

Name	Description
coords_from_dims	Return coordinates from dimensions assuming evenly sampled.
drop_private	Drop all private attributes.
flat_dump	Flatten the coordinates and dump to dict.
get	dict-like get method.
items	Yield (attribute, values) just like dict.items().
new	Create new instance with some attributed updated.
parse_coord_attributes	Parse the coordinate attributes into coord dict.
rename_dimension	Rename one or more dimensions if in kwargs. Return new PatchAttrs.
from_dict	Get a new instance of the PatchAttrs.
update	Update an attribute in the model, return new model.