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LSST Data Management Base Package
Public Member Functions | Public Attributes | Static Public Attributes | List of all members
lsst.pipe.tasks.functors.DeconvolvedMoments Class Reference
Inheritance diagram for lsst.pipe.tasks.functors.DeconvolvedMoments:
lsst.pipe.tasks.functors.Functor

Public Member Functions

def noDup (self)
 
def columns (self)
 
def multilevelColumns (self, data, columnIndex=None, returnTuple=False)
 
def __call__ (self, data, dropna=False)
 
def difference (self, data1, data2, **kwargs)
 
def fail (self, df)
 
def name (self)
 
def shortname (self)
 

Public Attributes

 filt
 
 dataset
 

Static Public Attributes

string name = 'Deconvolved Moments'
 
string shortname = 'deconvolvedMoments'
 

Detailed Description

Definition at line 1006 of file functors.py.

Member Function Documentation

◆ __call__()

def lsst.pipe.tasks.functors.Functor.__call__ (   self,
  data,
  dropna = False 
)
inherited

Definition at line 340 of file functors.py.

340  def __call__(self, data, dropna=False):
341  try:
342  df = self._get_data(data)
343  vals = self._func(df)
344  except Exception:
345  vals = self.fail(df)
346  if dropna:
347  vals = self._dropna(vals)
348 
349  return vals
350 

◆ columns()

def lsst.pipe.tasks.functors.Functor.columns (   self)
inherited

◆ difference()

def lsst.pipe.tasks.functors.Functor.difference (   self,
  data1,
  data2,
**  kwargs 
)
inherited
Computes difference between functor called on two different ParquetTable objects

Definition at line 351 of file functors.py.

351  def difference(self, data1, data2, **kwargs):
352  """Computes difference between functor called on two different ParquetTable objects
353  """
354  return self(data1, **kwargs) - self(data2, **kwargs)
355 

◆ fail()

def lsst.pipe.tasks.functors.Functor.fail (   self,
  df 
)
inherited

Definition at line 356 of file functors.py.

356  def fail(self, df):
357  return pd.Series(np.full(len(df), np.nan), index=df.index)
358 

◆ multilevelColumns()

def lsst.pipe.tasks.functors.Functor.multilevelColumns (   self,
  data,
  columnIndex = None,
  returnTuple = False 
)
inherited
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.

229  def multilevelColumns(self, data, columnIndex=None, returnTuple=False):
230  """Returns columns needed by functor from multilevel dataset
231 
232  To access tables with multilevel column structure, the `MultilevelParquetTable`
233  or `DeferredDatasetHandle` need to be passed either a list of tuples or a
234  dictionary.
235 
236  Parameters
237  ----------
238  data : `MultilevelParquetTable` or `DeferredDatasetHandle`
239 
240  columnIndex (optional): pandas `Index` object
241  either passed or read in from `DeferredDatasetHandle`.
242 
243  `returnTuple` : bool
244  If true, then return a list of tuples rather than the column dictionary
245  specification. This is set to `True` by `CompositeFunctor` in order to be able to
246  combine columns from the various component functors.
247 
248  """
249  if isinstance(data, DeferredDatasetHandle) and columnIndex is None:
250  columnIndex = data.get(component="columns")
251 
252  # Confirm that the dataset has the column levels the functor is expecting it to have.
253  columnLevels = self._get_data_columnLevels(data, columnIndex)
254 
255  columnDict = {'column': self.columns,
256  'dataset': self.dataset}
257  if self.filt is None:
258  columnLevelNames = self._get_data_columnLevelNames(data, columnIndex)
259  if "band" in columnLevels:
260  if self.dataset == "ref":
261  columnDict["band"] = columnLevelNames["band"][0]
262  else:
263  raise ValueError(f"'filt' not set for functor {self.name}"
264  f"(dataset {self.dataset}) "
265  "and ParquetTable "
266  "contains multiple filters in column index. "
267  "Set 'filt' or set 'dataset' to 'ref'.")
268  else:
269  columnDict['band'] = self.filt
270 
271  if isinstance(data, MultilevelParquetTable):
272  return data._colsFromDict(columnDict)
273  elif isinstance(data, DeferredDatasetHandle):
274  if returnTuple:
275  return self._colsFromDict(columnDict, columnIndex=columnIndex)
276  else:
277  return columnDict
278 

◆ name()

def lsst.pipe.tasks.functors.Functor.name (   self)
inherited

◆ noDup()

def lsst.pipe.tasks.functors.Functor.noDup (   self)
inherited

Definition at line 148 of file functors.py.

148  def noDup(self):
149  if self._noDup is not None:
150  return self._noDup
151  else:
152  return self._defaultNoDup
153 

◆ shortname()

def lsst.pipe.tasks.functors.Functor.shortname (   self)
inherited
Short name of functor (suitable for column name/dict key)

Reimplemented in lsst.pipe.tasks.functors.Color, and lsst.pipe.tasks.functors.MagDiff.

Definition at line 366 of file functors.py.

366  def shortname(self):
367  """Short name of functor (suitable for column name/dict key)
368  """
369  return self.name
370 
371 

Member Data Documentation

◆ dataset

lsst.pipe.tasks.functors.Functor.dataset
inherited

Definition at line 144 of file functors.py.

◆ filt

lsst.pipe.tasks.functors.Functor.filt
inherited

Definition at line 143 of file functors.py.

◆ name

string lsst.pipe.tasks.functors.DeconvolvedMoments.name = 'Deconvolved Moments'
static

Definition at line 1007 of file functors.py.

◆ shortname

string lsst.pipe.tasks.functors.DeconvolvedMoments.shortname = 'deconvolvedMoments'
static

Definition at line 1008 of file functors.py.


The documentation for this class was generated from the following file: