LocalDipoleDiffFlux¶
- class lsst.pipe.tasks.functors.LocalDipoleDiffFlux(instFluxPosCol, instFluxNegCol, instFluxPosErrCol, instFluxNegErrCol, photoCalibCol, photoCalibErrCol, **kwargs)¶
- Bases: - LocalDipoleMeanFlux- Compute the absolute difference of dipole fluxes. - Calculated value is (abs(pos) - abs(neg)). - See also - Attributes Summary - Columns required to perform calculation. - Full name of functor (suitable for figure labels). - Do not explode by band if used on object table. - 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)- instFluxErrToMagnitudeErr(instFlux, ...)- Convert instrument flux err to nanojanskys. - instFluxErrToNanojanskyErr(instFlux, ...)- Convert instrument flux to nanojanskys. - instFluxToMagnitude(instFlux, localCalib)- Convert instrument flux to nanojanskys. - instFluxToNanojansky(instFlux, localCalib)- Convert instrument flux to nanojanskys. - multilevelColumns(data[, columnIndex, ...])- Returns columns needed by functor from multilevel dataset. - Attributes Documentation - columns¶
 - logNJanskyToAB = 31.4¶
 - name¶
 - 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)¶
 - instFluxErrToMagnitudeErr(instFlux, instFluxErr, localCalib, localCalibErr)¶
- Convert instrument flux err to nanojanskys. - Parameters:
- Returns:
 
 - instFluxErrToNanojanskyErr(instFlux, instFluxErr, localCalib, localCalibErr)¶
- Convert instrument flux to nanojanskys. - Parameters:
- Returns:
 
 - instFluxToMagnitude(instFlux, localCalib)¶
- Convert instrument flux to nanojanskys. 
 - instFluxToNanojansky(instFlux, localCalib)¶
- Convert instrument flux to nanojanskys. 
 - multilevelColumns(data, columnIndex=None, returnTuple=False)¶
- Returns columns needed by functor from multilevel dataset. - To access tables with multilevel column structure, the - DeferredDatasetHandleor- InMemoryDatasetHandleneeds 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 - Trueby- CompositeFunctorin order to be able to combine columns from the various component functors.