Index

class lsst.pipe.tasks.functors.Index(filt=None, dataset=None, noDup=None)

Bases: Functor

Return the value of the index for each object.

Attributes Summary

columns
name	Full name of functor (suitable for figure labels).
noDup	Do not explode by band if used on object table.
shortname	Short name of functor (suitable for column name/dict key).

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 = ['coord_ra']

name

Full name of functor (suitable for figure labels).

noDup

Do not explode by band if used on object table.

shortname

Short name of functor (suitable for column name/dict key).

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 or InMemoryDatasetHandle needs to be passed either a list of tuples or a dictionary.

Parameters:

datavarious

The data as either DeferredDatasetHandle, or InMemoryDatasetHandle.

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 by CompositeFunctor in order to be able to combine columns from the various component functors.