lsst.meas.base.diaCalculationPlugins Namespace Reference

Classes
class	Chi2DiaPsfFlux
class	Chi2DiaPsfFluxConfig
class	ErrMeanDiaPsfFlux
class	ErrMeanDiaPsfFluxConfig
class	HTMIndexDiaPosition
class	HTMIndexDiaPositionConfig
class	LinearFitDiaPsfFlux
class	LinearFitDiaPsfFluxConfig
class	LombScarglePeriodogram
class	LombScarglePeriodogramConfig
class	LombScarglePeriodogramMulti
class	LombScarglePeriodogramMultiConfig
class	MadDiaPsfFlux
class	MadDiaPsfFluxConfig
class	MaxSlopeDiaPsfFlux
class	MaxSlopeDiaPsfFluxConfig
class	MeanDiaPosition
class	MeanDiaPositionConfig
class	MinMaxDiaPsfFlux
class	MinMaxDiaPsfFluxConfig
class	NumDiaSourcesDiaPlugin
class	NumDiaSourcesDiaPluginConfig
class	PercentileDiaPsfFlux
class	PercentileDiaPsfFluxConfig
class	SigmaDiaPsfFlux
class	SigmaDiaPsfFluxConfig
class	SigmaDiaTotFlux
class	SigmaDiaTotFluxConfig
class	SimpleSourceFlagDiaPlugin
class	SimpleSourceFlagDiaPluginConfig
class	SkewDiaPsfFlux
class	SkewDiaPsfFluxConfig
class	StetsonJDiaPsfFlux
class	StetsonJDiaPsfFluxConfig
class	UnphysicalDiaSourceSeparation
class	WeightedMeanDiaPsfFlux
class	WeightedMeanDiaPsfFluxConfig
class	WeightedMeanDiaTotFlux
class	WeightedMeanDiaTotFluxConfig

Functions
	catchWarnings (_func=None, *, warns=[])
	typeSafePandasAssignment (target, source, columns, default_dtype=np.float64, int_fill_value=0, force_int_to_float=False)
	compute_optimized_periodogram_grid (x0, oversampling_factor=5, nyquist_factor=100)

Detailed Description

Plugins for use in DiaSource summary statistics.

Output columns must be
as defined in the schema of the Apdb both in name and units.

Function Documentation

catchWarnings()

lsst.meas.base.diaCalculationPlugins.catchWarnings	(		_func = None,
		*	,
			warns = [] )

Decorator for generically catching numpy warnings.

Definition at line 73 of file diaCalculationPlugins.py.

compute_optimized_periodogram_grid()

lsst.meas.base.diaCalculationPlugins.compute_optimized_periodogram_grid	(		x0,
			oversampling_factor = 5,
			nyquist_factor = 100 )

Computes an optimized periodogram frequency grid for a given time series.

Parameters
----------
x0 : `array`
    The input time axis.
oversampling_factor : `int`, optional
    The oversampling factor for frequency grid.
nyquist_factor : `int`, optional
    The Nyquist factor for frequency grid.

Returns
-------
frequencies : `array`
    The computed optimized periodogram frequency grid.

Definition at line 152 of file diaCalculationPlugins.py.

typeSafePandasAssignment()

lsst.meas.base.diaCalculationPlugins.typeSafePandasAssignment	(		target,
			source,
			columns,
			default_dtype = np.float64,
			int_fill_value = 0,
			force_int_to_float = False )

Assign from a source dataframe to a target dataframe in a type safe way.

Parameters
----------
target : `pd.DataFrame`
    Target pandas dataframe.
source : `pd.DataFrame` or `pd.Series`
    Grouped source dataframe.
columns : `list` [`str`]
    List of columns to transfer.
default_dtype : `np.dtype`, optional
    Default datatype (if not in target).
int_fill_value : `int`, optional
    Fill value for integer columns to avoid pandas insisting
    that everything should be float-ified as nans.
force_int_to_float : `bool`, optional
    Force integer columns to float columns? Use this option
    for backwards compatibility for old pandas misfeatures which
    are expected by some downstream processes.

Definition at line 91 of file diaCalculationPlugins.py.