Ebv¶
- class lsst.pipe.tasks.functors.Ebv(**kwargs)¶
Bases:
Functor
Compute E(B-V) from dustmaps.sfd.
Attributes Summary
Columns required to perform calculation.
Do not explode by band if used on object table.
Methods Summary
__call__
(data[, dropna])Call self as a function.
difference
(data1, data2, **kwargs)Computes difference between functor called on two different DataFrame/Handle objects.
fail
(df)multilevelColumns
(data[, columnIndex, ...])Returns columns needed by functor from multilevel dataset.
Attributes Documentation
- columns¶
Columns required to perform calculation.
- name = 'E(B-V)'¶
- noDup¶
Do not explode by band if used on object table.
- shortname = 'ebv'¶
Methods Documentation
- __call__(data, dropna=False)¶
Call self as a function.
- difference(data1, data2, **kwargs)¶
Computes difference between functor called on two different DataFrame/Handle objects.
- fail(df)¶
- multilevelColumns(data, columnIndex=None, returnTuple=False)¶
Returns columns needed by functor from multilevel dataset.
To access tables with multilevel column structure, the
DeferredDatasetHandle
orInMemoryDatasetHandle
needs to be passed either a list of tuples or a dictionary.- Parameters:
- datavarious
The data as either
DeferredDatasetHandle
, orInMemoryDatasetHandle
.- columnIndex (optional): pandas `~pandas.Index` object
Either passed or read in from
DeferredDatasetHandle
.- `returnTuple`
bool
If true, then return a list of tuples rather than the column dictionary specification. This is set to
True
byCompositeFunctor
in order to be able to combine columns from the various component functors.