Datum¶
-
class
lsst.verify.
Datum
(quantity=None, unit=None, label=None, description=None)¶ Bases:
lsst.verify.datum.QuantityAttributeMixin
,lsst.verify.jsonmixin.JsonSerializationMixin
A value annotated with units, a plot label and description.
Datum supports natively support Astropy
Quantity
and units. In addition, a Datum can also wrap strings, booleans and integers. A Datums’s value can also beNone
.Parameters: - quantity :
astropy.units.Quantity
,int
,float
or iterable. Value of the
Datum
.- unit :
str
Units of
quantity
as astr
ifquantity
is not supplied as anastropy.units.Quantity
. See http://docs.astropy.org/en/stable/units/. Units are not used bystr
,bool
,int
orNone
types.- label :
str
, optional Label suitable for plot axes (without units).
- description :
str
, optional Extended description of the
Datum
.
Attributes Summary
description
Extended description. json
Datum as a dict
compatible with overallJob
JSON schema.label
Label for plotting (without units). Methods Summary
deserialize
([label, description, value, unit])Deserialize fields from a Datum JSON object into a Datum
instance.Attributes Documentation
-
description
¶ Extended description.
-
label
¶ Label for plotting (without units).
Methods Documentation
-
classmethod
deserialize
(label=None, description=None, value=None, unit=None)¶ Deserialize fields from a Datum JSON object into a
Datum
instance.Parameters: - value :
float
,int
,bool
,str
, orlist
Values, which may be scalars or lists of scalars.
- unit :
str
orNone
An
astropy.units
-compatible string with units ofvalue
, orNone
if the value does not have physical units.- label :
str
, optional Label suitable for plot axes (without units).
- description :
str
, optional Extended description of the
Datum
.
Returns: - datum :
Datum
Datum instantiated from provided JSON fields.
Examples
With this class method, a
Datum
may be round-tripped from its JSON serialized form.>>> datum = Datum(50. * u.mmag, label='sigma', ... description="Photometric uncertainty.") >>> print(datum) sigma = 50.0 mmag Photometric uncertainty. >>> json_data = datum.json >>> new_datum = datum.deserialize(**json_data) >>> print(new_datum) sigma = 50.0 mmag Photometric uncertainty.
- value :
- quantity :