lsst.pipe.tasks g59f6dce098+83b7f37e51
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Public Member Functions | |
def | outputDataset (self) |
def | inputDataset (self) |
def | ConfigClass (self) |
def | __init__ (self, *args, **kwargs) |
def | runQuantum (self, butlerQC, inputRefs, outputRefs) |
def | run (self, parq, funcs=None, dataId=None, band=None) |
def | getFunctors (self) |
def | getAnalysis (self, parq, funcs=None, band=None) |
def | transform (self, band, parq, funcs, dataId) |
Public Attributes | |
funcs | |
Protected Member Functions | |
def | _DefaultName (self) |
Base class for transforming/standardizing a catalog by applying functors that convert units and apply calibrations. The purpose of this task is to perform a set of computations on an input `ParquetTable` dataset (such as ``deepCoadd_obj``) and write the results to a new dataset (which needs to be declared in an ``outputDataset`` attribute). The calculations to be performed are defined in a YAML file that specifies a set of functors to be computed, provided as a ``--functorFile`` config parameter. An example of such a YAML file is the following: funcs: psfMag: functor: Mag args: - base_PsfFlux filt: HSC-G dataset: meas cmodel_magDiff: functor: MagDiff args: - modelfit_CModel - base_PsfFlux filt: HSC-G gauss_magDiff: functor: MagDiff args: - base_GaussianFlux - base_PsfFlux filt: HSC-G count: functor: Column args: - base_InputCount_value filt: HSC-G deconvolved_moments: functor: DeconvolvedMoments filt: HSC-G dataset: forced_src refFlags: - calib_psfUsed - merge_measurement_i - merge_measurement_r - merge_measurement_z - merge_measurement_y - merge_measurement_g - base_PixelFlags_flag_inexact_psfCenter - detect_isPrimary The names for each entry under "func" will become the names of columns in the output dataset. All the functors referenced are defined in `lsst.pipe.tasks.functors`. Positional arguments to be passed to each functor are in the `args` list, and any additional entries for each column other than "functor" or "args" (e.g., ``'filt'``, ``'dataset'``) are treated as keyword arguments to be passed to the functor initialization. The "flags" entry is the default shortcut for `Column` functors. All columns listed under "flags" will be copied to the output table untransformed. They can be of any datatype. In the special case of transforming a multi-level oject table with band and dataset indices (deepCoadd_obj), these will be taked from the `meas` dataset and exploded out per band. There are two special shortcuts that only apply when transforming multi-level Object (deepCoadd_obj) tables: - The "refFlags" entry is shortcut for `Column` functor taken from the `'ref'` dataset if transforming an ObjectTable. - The "forcedFlags" entry is shortcut for `Column` functors. taken from the ``forced_src`` dataset if transforming an ObjectTable. These are expanded out per band. This task uses the `lsst.pipe.tasks.postprocess.PostprocessAnalysis` object to organize and excecute the calculations.
Definition at line 786 of file postprocess.py.
def lsst.pipe.tasks.postprocess.TransformCatalogBaseTask.__init__ | ( | self, | |
* | args, | ||
** | kwargs | ||
) |
Definition at line 880 of file postprocess.py.
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protected |
Definition at line 865 of file postprocess.py.
def lsst.pipe.tasks.postprocess.TransformCatalogBaseTask.ConfigClass | ( | self | ) |
Definition at line 877 of file postprocess.py.
def lsst.pipe.tasks.postprocess.TransformCatalogBaseTask.getAnalysis | ( | self, | |
parq, | |||
funcs = None , |
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band = None |
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) |
Definition at line 930 of file postprocess.py.
def lsst.pipe.tasks.postprocess.TransformCatalogBaseTask.getFunctors | ( | self | ) |
Definition at line 927 of file postprocess.py.
def lsst.pipe.tasks.postprocess.TransformCatalogBaseTask.inputDataset | ( | self | ) |
Definition at line 873 of file postprocess.py.
def lsst.pipe.tasks.postprocess.TransformCatalogBaseTask.outputDataset | ( | self | ) |
Definition at line 869 of file postprocess.py.
def lsst.pipe.tasks.postprocess.TransformCatalogBaseTask.run | ( | self, | |
parq, | |||
funcs = None , |
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dataId = None , |
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band = None |
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) |
Do postprocessing calculations Takes a `ParquetTable` object and dataId, returns a dataframe with results of postprocessing calculations. Parameters ---------- parq : `lsst.pipe.tasks.parquetTable.ParquetTable` ParquetTable from which calculations are done. funcs : `lsst.pipe.tasks.functors.Functors` Functors to apply to the table's columns dataId : dict, optional Used to add a `patchId` column to the output dataframe. band : `str`, optional Filter band that is being processed. Returns ------ df : `pandas.DataFrame`
Definition at line 900 of file postprocess.py.
def lsst.pipe.tasks.postprocess.TransformCatalogBaseTask.runQuantum | ( | self, | |
butlerQC, | |||
inputRefs, | |||
outputRefs | |||
) |
Definition at line 890 of file postprocess.py.
def lsst.pipe.tasks.postprocess.TransformCatalogBaseTask.transform | ( | self, | |
band, | |||
parq, | |||
funcs, | |||
dataId | |||
) |
Definition at line 936 of file postprocess.py.
lsst.pipe.tasks.postprocess.TransformCatalogBaseTask.funcs |
Definition at line 885 of file postprocess.py.