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def | columns (self) |
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def | name (self) |
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def | hypot (cls, a, b) |
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def | dn2flux (self, dn, fluxMag0) |
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def | dn2mag (self, dn, fluxMag0) |
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def | dn2fluxErr (self, dn, dnErr, fluxMag0, fluxMag0Err) |
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def | dn2MagErr (self, dn, dnErr, fluxMag0, fluxMag0Err) |
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def | noDup (self) |
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def | multilevelColumns (self, data, columnIndex=None, returnTuple=False) |
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def | __call__ (self, data, dropna=False) |
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def | difference (self, data1, data2, **kwargs) |
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def | fail (self, df) |
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def | shortname (self) |
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Definition at line 1468 of file functors.py.
◆ __call__()
def lsst.pipe.tasks.functors.Functor.__call__ |
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self, |
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data, |
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dropna = False |
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◆ columns()
def lsst.pipe.tasks.functors.Photometry.columns |
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self | ) |
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◆ difference()
def lsst.pipe.tasks.functors.Functor.difference |
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self, |
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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 351 of file functors.py.
◆ dn2flux()
def lsst.pipe.tasks.functors.Photometry.dn2flux |
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self, |
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dn, |
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fluxMag0 |
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◆ dn2fluxErr()
def lsst.pipe.tasks.functors.Photometry.dn2fluxErr |
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self, |
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dn, |
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dnErr, |
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fluxMag0, |
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fluxMag0Err |
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◆ dn2mag()
def lsst.pipe.tasks.functors.Photometry.dn2mag |
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self, |
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dn, |
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fluxMag0 |
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◆ dn2MagErr()
def lsst.pipe.tasks.functors.Photometry.dn2MagErr |
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self, |
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dn, |
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dnErr, |
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fluxMag0, |
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fluxMag0Err |
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◆ fail()
def lsst.pipe.tasks.functors.Functor.fail |
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self, |
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df |
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◆ hypot()
def lsst.pipe.tasks.functors.Photometry.hypot |
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cls, |
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a, |
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b |
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◆ multilevelColumns()
def lsst.pipe.tasks.functors.Functor.multilevelColumns |
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self, |
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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 229 of file functors.py.
◆ name()
def lsst.pipe.tasks.functors.Photometry.name |
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self | ) |
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◆ noDup()
def lsst.pipe.tasks.functors.Functor.noDup |
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self | ) |
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inherited |
◆ shortname()
def lsst.pipe.tasks.functors.Functor.shortname |
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self | ) |
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◆ AB_FLUX_SCALE
tuple lsst.pipe.tasks.functors.Photometry.AB_FLUX_SCALE = (0 * u.ABmag).to_value(u.nJy) |
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◆ calib
lsst.pipe.tasks.functors.Photometry.calib |
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◆ COADD_ZP
int lsst.pipe.tasks.functors.Photometry.COADD_ZP = 27 |
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staticinherited |
◆ col
lsst.pipe.tasks.functors.Photometry.col |
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◆ colFluxErr
lsst.pipe.tasks.functors.Photometry.colFluxErr |
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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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◆ FIVE_OVER_2LOG10
float lsst.pipe.tasks.functors.Photometry.FIVE_OVER_2LOG10 = 1.085736204758129569 |
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staticinherited |
◆ fluxMag0
lsst.pipe.tasks.functors.Photometry.fluxMag0 |
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◆ fluxMag0Err
lsst.pipe.tasks.functors.Photometry.fluxMag0Err |
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◆ LOG_AB_FLUX_SCALE
float lsst.pipe.tasks.functors.Photometry.LOG_AB_FLUX_SCALE = 12.56 |
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staticinherited |
◆ vhypot
lsst.pipe.tasks.functors.Photometry.vhypot |
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inherited |
The documentation for this class was generated from the following file: