MatchProbabilisticTask¶
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class
lsst.meas.astrom.MatchProbabilisticTask(**kwargs)¶ Bases:
lsst.pipe.base.TaskRun MatchProbabilistic on a reference and target catalog covering the same tract.
Attributes Summary
columns_in_refcolumns_in_targetMethods Summary
emptyMetadata()Empty (clear) the metadata for this Task and all sub-Tasks. getFullMetadata()Get metadata for all tasks. getFullName()Get the task name as a hierarchical name including parent task names. getName()Get the name of the task. getTaskDict()Get a dictionary of all tasks as a shallow copy. makeField(doc)Make a lsst.pex.config.ConfigurableFieldfor this task.makeSubtask(name, **keyArgs)Create a subtask as a new instance as the nameattribute of this task.match(catalog_ref, catalog_target, …)Match sources in a reference tract catalog with a target catalog. run(catalog_ref, catalog_target, wcs, **kwargs)Match sources in a reference tract catalog with a target catalog. timer(name, logLevel)Context manager to log performance data for an arbitrary block of code. Attributes Documentation
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columns_in_ref¶
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columns_in_target¶
Methods Documentation
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emptyMetadata() → None¶ Empty (clear) the metadata for this Task and all sub-Tasks.
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getFullMetadata() → lsst.pipe.base._task_metadata.TaskMetadata¶ Get metadata for all tasks.
Returns: - metadata :
TaskMetadata The keys are the full task name. Values are metadata for the top-level task and all subtasks, sub-subtasks, etc.
Notes
The returned metadata includes timing information (if
@timer.timeMethodis used) and any metadata set by the task. The name of each item consists of the full task name with.replaced by:, followed by.and the name of the item, e.g.:topLevelTaskName:subtaskName:subsubtaskName.itemName
using
:in the full task name disambiguates the rare situation that a task has a subtask and a metadata item with the same name.- metadata :
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getFullName() → str¶ Get the task name as a hierarchical name including parent task names.
Returns: - fullName :
str The full name consists of the name of the parent task and each subtask separated by periods. For example:
- The full name of top-level task “top” is simply “top”.
- The full name of subtask “sub” of top-level task “top” is “top.sub”.
- The full name of subtask “sub2” of subtask “sub” of top-level task “top” is “top.sub.sub2”.
- fullName :
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getTaskDict() → Dict[str, weakref.ReferenceType[lsst.pipe.base.task.Task]]¶ Get a dictionary of all tasks as a shallow copy.
Returns: - taskDict :
dict Dictionary containing full task name: task object for the top-level task and all subtasks, sub-subtasks, etc.
- taskDict :
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classmethod
makeField(doc: str) → lsst.pex.config.configurableField.ConfigurableField¶ Make a
lsst.pex.config.ConfigurableFieldfor this task.Parameters: - doc :
str Help text for the field.
Returns: - configurableField :
lsst.pex.config.ConfigurableField A
ConfigurableFieldfor this task.
Examples
Provides a convenient way to specify this task is a subtask of another task.
Here is an example of use:
class OtherTaskConfig(lsst.pex.config.Config): aSubtask = ATaskClass.makeField("brief description of task")
- doc :
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makeSubtask(name: str, **keyArgs) → None¶ Create a subtask as a new instance as the
nameattribute of this task.Parameters: - name :
str Brief name of the subtask.
- keyArgs
Extra keyword arguments used to construct the task. The following arguments are automatically provided and cannot be overridden:
- “config”.
- “parentTask”.
Notes
The subtask must be defined by
Task.config.name, an instance ofConfigurableFieldorRegistryField.- name :
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match(catalog_ref: pandas.core.frame.DataFrame, catalog_target: pandas.core.frame.DataFrame, select_ref: numpy.array = None, select_target: numpy.array = None, wcs: lsst.afw.geom.SkyWcs = None, logger: logging.Logger = None, logging_n_rows: int = None) → Tuple[pandas.core.frame.DataFrame, pandas.core.frame.DataFrame, Dict[int, str]]¶ Match sources in a reference tract catalog with a target catalog.
Parameters: - catalog_ref :
pandas.DataFrame A reference catalog to match objects/sources from.
- catalog_target :
pandas.DataFrame A target catalog to match reference objects/sources to.
- select_ref :
numpy.array A boolean array of the same length as
catalog_refselecting the sources that can be matched.- select_target :
numpy.array A boolean array of the same length as
catalog_targetselecting the sources that can be matched.- wcs :
lsst.afw.image.SkyWcs A coordinate system to convert catalog positions to sky coordinates. Only used if
self.config.coords_ref_to_convertis set.- logger :
logging.Logger A Logger for logging.
- logging_n_rows :
int Number of matches to make before outputting incremental log message.
Returns: - catalog_out_ref :
pandas.DataFrame Reference matched catalog with indices of target matches.
- catalog_out_target :
pandas.DataFrame Reference matched catalog with indices of target matches.
- catalog_ref :
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run(catalog_ref: pandas.core.frame.DataFrame, catalog_target: pandas.core.frame.DataFrame, wcs: lsst.afw.geom.SkyWcs = None, **kwargs) → lsst.pipe.base.struct.Struct¶ Match sources in a reference tract catalog with a target catalog.
Parameters: - catalog_ref :
pandas.DataFrame A reference catalog to match objects/sources from.
- catalog_target :
pandas.DataFrame A target catalog to match reference objects/sources to.
- wcs :
lsst.afw.image.SkyWcs A coordinate system to convert catalog positions to sky coordinates. Only needed if
config.coords_ref_to_convertis used to convert reference catalog sky coordinates to pixel positions.- kwargs : Additional keyword arguments to pass to
match.
Returns: - retStruct :
lsst.pipe.base.Struct A struct with output_ref and output_target attribute containing the output matched catalogs, as well as a dict
- catalog_ref :
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timer(name: str, logLevel: int = 10) → Iterator[None]¶ Context manager to log performance data for an arbitrary block of code.
Parameters: See also
timer.logInfo
Examples
Creating a timer context:
with self.timer("someCodeToTime"): pass # code to time
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