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string | col = 'base_Footprint_nPix' |
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Definition at line 624 of file functors.py.
◆ __call__()
def lsst.pipe.tasks.functors.Functor.__call__ |
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data, |
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dropna = False |
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◆ columns()
def lsst.pipe.tasks.functors.Column.columns |
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◆ difference()
def lsst.pipe.tasks.functors.Functor.difference |
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data1, |
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data2, |
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kwargs |
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Computes difference between functor called on two different ParquetTable objects
Definition at line 329 of file functors.py.
◆ fail()
def lsst.pipe.tasks.functors.Functor.fail |
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df |
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◆ multilevelColumns()
def lsst.pipe.tasks.functors.Functor.multilevelColumns |
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data, |
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columnIndex = None , |
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returnTuple = False |
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Returns columns needed by functor from multilevel dataset
To access tables with multilevel column structure, the `MultilevelParquetTable`
or `DeferredDatasetHandle` need to be passed either a list of tuples or a
dictionary.
Parameters
----------
data : `MultilevelParquetTable` or `DeferredDatasetHandle`
columnIndex (optional): 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.
Definition at line 205 of file functors.py.
◆ name()
def lsst.pipe.tasks.functors.Column.name |
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◆ noDup()
def lsst.pipe.tasks.functors.Functor.noDup |
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◆ shortname()
def lsst.pipe.tasks.functors.Functor.shortname |
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◆ col
string lsst.pipe.tasks.functors.FootprintNPix.col = 'base_Footprint_nPix' |
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◆ dataset
lsst.pipe.tasks.functors.Functor.dataset |
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◆ filt
lsst.pipe.tasks.functors.Functor.filt |
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The documentation for this class was generated from the following file: