CompletenessHist¶
- class lsst.analysis.tools.actions.plot.CompletenessHist(*args, **kw)¶
- Bases: - PlotAction- Makes plots of completeness and purity. - Attributes Summary - Action to compute completeness/purity ( - CalcCompletenessHistogramAction, default- <class 'lsst.analysis.tools.actions.keyedData.calcCompletenessHistogram.CalcCompletenessHistogramAction'>)- Apply a - Contextto an- AnalysisActionrecursively.- If a configurable action is assigned to a - ConfigurableActionField, or a- ConfigurableActionStructFieldthe name of the field will be bound to this variable when it is retrieved.- Label for the completeness x axis. - Label for the purity x axis. - Style and locations for completeness threshold percentile labels ( - str, default- 'below_line')- Methods Summary - __call__(data, **kwargs)- Call self as a function. - addInputSchema(inputSchema)- Add the supplied inputSchema argument to the class such that it will be returned along side any other arguments in a call to - getInputSchema.- compare(other[, shortcut, rtol, atol, output])- Compare this configuration to another - Configfor equality.- formatHistory(name, **kwargs)- Format a configuration field's history to a human-readable format. - freeze()- Make this config, and all subconfigs, read-only. - getFormattedInputSchema(**kwargs)- Return input schema, with keys formatted with any arguments supplied by kwargs passed to this method. - Return the schema an - AnalysisActionexpects to be present in the arguments supplied to the __call__ method.- getOutputNames([config])- Returns a list of names that will be used as keys if this action's call method returns a mapping. - Return the schema an - AnalysisActionwill produce, if the- __call__method returns- KeyedData, otherwise this may return None.- items()- Get configurations as - (field name, field value)pairs.- keys()- Get field names. - load(filename[, root])- Modify this config in place by executing the Python code in a configuration file. - loadFromStream(stream[, root, filename, ...])- Modify this Config in place by executing the Python code in the provided stream. - loadFromString(code[, root, filename, ...])- Modify this Config in place by executing the Python code in the provided string. - makePlot(data, plotInfo, **kwargs)- Makes a plot showing the fraction of injected sources recovered by input magnitude. - names()- Get all the field names in the config, recursively. - save(filename[, root])- Save a Python script to the named file, which, when loaded, reproduces this config. - saveToStream(outfile[, root, skipImports])- Save a configuration file to a stream, which, when loaded, reproduces this config. - saveToString([skipImports])- Return the Python script form of this configuration as an executable string. - Subclass hook for computing defaults. - toDict()- Make a dictionary of field names and their values. - update(**kw)- Update values of fields specified by the keyword arguments. - validate()- Validate the Config, raising an exception if invalid. - values()- Get field values. - Attributes Documentation - action¶
- Action to compute completeness/purity ( - CalcCompletenessHistogramAction, default- <class 'lsst.analysis.tools.actions.keyedData.calcCompletenessHistogram.CalcCompletenessHistogramAction'>)
 - applyContext¶
- Apply a - Contextto an- AnalysisActionrecursively.- Generally this method is called from within an - AnalysisToolto configure all- AnalysisActions at one time to make sure that they all are consistently configured. However, it is permitted to call this method if you are aware of the effects, or from within a specific execution environment like a python shell or notebook.- Parameters:
- contextContext
- The specific execution context, this may be a single context or a joint context, see - Contextfor more info.
 
- context
 
 - history¶
- Read-only history. 
 - identity: str | None = None¶
- If a configurable action is assigned to a - ConfigurableActionField, or a- ConfigurableActionStructFieldthe name of the field will be bound to this variable when it is retrieved.
 - percentiles_style¶
- Style and locations for completeness threshold percentile labels ( - str, default- 'below_line')- Allowed values: - 'above_plot'
- Labels in a semicolon-separated list above plot 
- 'below_line'
- Labels under the horizontal part of each line 
- 'None'
- Field is optional 
 
 - Methods Documentation - __call__(data: MutableMapping[str, ndarray[Any, dtype[_ScalarType_co]] | Scalar | HealSparseMap | Tensor | Mapping], **kwargs) Mapping[str, Figure] | Figure¶
- Call self as a function. 
 - addInputSchema(inputSchema: Mapping]]]) None¶
- Add the supplied inputSchema argument to the class such that it will be returned along side any other arguments in a call to - getInputSchema.- Parameters:
- inputSchemaKeyedDataSchema
- A schema that is to be merged in with any existing schema when a call to - getInputSchemais made.
 
- inputSchema
 
 - compare(other, shortcut=True, rtol=1e-08, atol=1e-08, output=None)¶
- Compare this configuration to another - Configfor equality.- Parameters:
- otherlsst.pex.config.Config
- Other - Configobject to compare against this config.
- shortcutbool, optional
- If - True, return as soon as an inequality is found. Default is- True.
- rtolfloat, optional
- Relative tolerance for floating point comparisons. 
- atolfloat, optional
- Absolute tolerance for floating point comparisons. 
- outputcallable, optional
- A callable that takes a string, used (possibly repeatedly) to report inequalities. 
 
- other
- Returns:
- isEqualbool
- Truewhen the two- lsst.pex.config.Configinstances are equal.- Falseif there is an inequality.
 
- isEqual
 - See also - Notes - Unselected targets of - RegistryFieldfields and unselected choices of- ConfigChoiceFieldfields are not considered by this method.- Floating point comparisons are performed by - numpy.allclose.
 - formatHistory(name, **kwargs)¶
- Format a configuration field’s history to a human-readable format. - Parameters:
- namestr
- Name of a - Fieldin this config.
- **kwargs
- Keyword arguments passed to - lsst.pex.config.history.format.
 
- name
- Returns:
- historystr
- A string containing the formatted history. 
 
- history
 - See also 
 - freeze()¶
- Make this config, and all subconfigs, read-only. 
 - getFormattedInputSchema(**kwargs) Mapping]]]¶
- Return input schema, with keys formatted with any arguments supplied by kwargs passed to this method. - Returns:
- resultKeyedDataSchema
- The schema this action requires to be present when calling this action, formatted with any input arguments (e.g. band=’i’) 
 
- result
 
 - getInputSchema() Mapping]]]¶
- Return the schema an - AnalysisActionexpects to be present in the arguments supplied to the __call__ method.- Returns:
- resultKeyedDataSchema
- The schema this action requires to be present when calling this action, keys are unformatted. 
 
- result
 
 - getOutputNames(config: Config | None = None) Iterable[str]¶
- Returns a list of names that will be used as keys if this action’s call method returns a mapping. Otherwise return an empty Iterable. - Parameters:
- configlsst.pex.config.Config, optional
- Configuration of the task. This is only used if the output naming needs to be config-aware. 
 
- config
- Returns:
- resultIterableofstr
- If a - PlotActionproduces more than one plot, this should be the keys the action will use in the returned- Mapping.
 
- result
 
 - getOutputSchema() Mapping]]] | None¶
- Return the schema an - AnalysisActionwill produce, if the- __call__method returns- KeyedData, otherwise this may return None.- Returns:
- resultKeyedDataSchemaor None
- The schema this action will produce when returning from call. This will be unformatted if any templates are present. Should return None if action does not return - KeyedData.
 
- result
 
 - items()¶
- Get configurations as - (field name, field value)pairs.- Returns:
- itemsItemsView
- Iterator of tuples for each configuration. Tuple items are: - Field name. 
- Field value. 
 
 
- items
 
 - keys()¶
- Get field names. - Returns:
- namesKeysView
- List of - lsst.pex.config.Fieldnames.
 
- names
 
 - load(filename, root='config')¶
- Modify this config in place by executing the Python code in a configuration file. - Parameters:
- filenamestr
- Name of the configuration file. A configuration file is Python module. 
- rootstr, optional
- Name of the variable in file that refers to the config being overridden. - For example, the value of root is - "config"and the file contains:- config.myField = 5 - Then this config’s field - myFieldis set to- 5.
 
- filename
 
 - loadFromStream(stream, root='config', filename=None, extraLocals=None)¶
- Modify this Config in place by executing the Python code in the provided stream. - Parameters:
- streamfile-like object, str,bytes, orCodeType
- Stream containing configuration override code. If this is a code object, it should be compiled with - mode="exec".
- rootstr, optional
- Name of the variable in file that refers to the config being overridden. - For example, the value of root is - "config"and the file contains:- config.myField = 5 - Then this config’s field - myFieldis set to- 5.
- filenamestr, optional
- Name of the configuration file, or - Noneif unknown or contained in the stream. Used for error reporting.
- extraLocalsdictofstrtoobject, optional
- Any extra variables to include in local scope when loading. 
 
- streamfile-like object, 
 - See also - Notes - For backwards compatibility reasons, this method accepts strings, bytes and code objects as well as file-like objects. New code should use - loadFromStringinstead for most of these types.
 - loadFromString(code, root='config', filename=None, extraLocals=None)¶
- Modify this Config in place by executing the Python code in the provided string. - Parameters:
- codestr,bytes, orCodeType
- Stream containing configuration override code. 
- rootstr, optional
- Name of the variable in file that refers to the config being overridden. - For example, the value of root is - "config"and the file contains:- config.myField = 5 - Then this config’s field - myFieldis set to- 5.
- filenamestr, optional
- Name of the configuration file, or - Noneif unknown or contained in the stream. Used for error reporting.
- extraLocalsdictofstrtoobject, optional
- Any extra variables to include in local scope when loading. 
 
- code
- Raises:
- ValueError
- Raised if a key in extraLocals is the same value as the value of the root argument. 
 
 
 - makePlot(data, plotInfo, **kwargs)¶
- Makes a plot showing the fraction of injected sources recovered by input magnitude. - The behavior of this plot is controlled by - self.action. This action must be added to a struct (usually self.process.calculateActions) by the tool that calls this plot.- Parameters:
- dataKeyedData
- All the data 
- plotInfodict
- A dictionary of information about the data being plotted with keys: - camera- The camera used to take the data ( - lsst.afw.cameraGeom.Camera)- "cameraName"
- The name of camera used to take the data ( - str).
- "filter"
- The filter used for this data ( - str).
- "ccdKey"
- The ccd/dectector key associated with this camera ( - str).
- "visit"
- The visit of the data; only included if the data is from a single epoch dataset ( - str).
- "patch"
- The patch that the data is from; only included if the data is from a coadd dataset ( - str).
- "tract"
- The tract that the data comes from ( - str).
- "photoCalibDataset"
- The dataset used for the calibration, e.g. “jointcal” or “fgcm” ( - str).
- "skyWcsDataset"
- The sky Wcs dataset used ( - str).
- "rerun"
- The rerun the data is stored in ( - str).
 
- Returns
- ——
- ``fig``
- The figure to be saved ( - matplotlib.figure.Figure).
 
- data
 - Notes - The behaviour of this plot is largel - Examples - An example of the plot produced from this code from tract 3828 of the DC2 simulations is here:   
 - save(filename, root='config')¶
- Save a Python script to the named file, which, when loaded, reproduces this config. - Parameters:
- filenamestr
- Desination filename of this configuration. 
- rootstr, optional
- Name to use for the root config variable. The same value must be used when loading (see - lsst.pex.config.Config.load).
 
- filename
 
 - saveToStream(outfile, root='config', skipImports=False)¶
- Save a configuration file to a stream, which, when loaded, reproduces this config. - Parameters:
- outfilefile-like object
- Destination file object write the config into. Accepts strings not bytes. 
- rootstr, optional
- Name to use for the root config variable. The same value must be used when loading (see - lsst.pex.config.Config.load).
- skipImportsbool, optional
- If - Truethen do not include- importstatements in output, this is to support human-oriented output from- pipetaskwhere additional clutter is not useful.
 
 
 - saveToString(skipImports=False)¶
- Return the Python script form of this configuration as an executable string. - Parameters:
- Returns:
- codestr
- A code string readable by - loadFromString.
 
- code
 
 - setDefaults()¶
- Subclass hook for computing defaults. - Notes - Derived - Configclasses that must compute defaults rather than using the- Fieldinstances’s defaults should do so here. To correctly use inherited defaults, implementations of- setDefaultsmust call their base class’s- setDefaults.
 - toDict()¶
- Make a dictionary of field names and their values. - See also - Notes - This method uses the - toDictmethod of individual fields. Subclasses of- Fieldmay need to implement a- toDictmethod for this method to work.
 - update(**kw)¶
- Update values of fields specified by the keyword arguments. - Parameters:
- **kw
- Keywords are configuration field names. Values are configuration field values. 
 
 - Notes - The - __atand- __labelkeyword arguments are special internal keywords. They are used to strip out any internal steps from the history tracebacks of the config. Do not modify these keywords to subvert a- Configinstance’s history.- Examples - This is a config with three fields: - >>> from lsst.pex.config import Config, Field >>> class DemoConfig(Config): ... fieldA = Field(doc="Field A", dtype=int, default=42) ... fieldB = Field(doc="Field B", dtype=bool, default=True) ... fieldC = Field(doc="Field C", dtype=str, default="Hello world") >>> config = DemoConfig() - These are the default values of each field: - >>> for name, value in config.iteritems(): ... print(f"{name}: {value}") fieldA: 42 fieldB: True fieldC: 'Hello world' - Using this method to update - fieldAand- fieldC:- >>> config.update(fieldA=13, fieldC="Updated!") - Now the values of each field are: - >>> for name, value in config.iteritems(): ... print(f"{name}: {value}") fieldA: 13 fieldB: True fieldC: 'Updated!' 
 - validate()¶
- Validate the Config, raising an exception if invalid. - Raises:
- lsst.pex.config.FieldValidationError
- Raised if verification fails. 
 
 - Notes - The base class implementation performs type checks on all fields by calling their - validatemethods.- Complex single-field validation can be defined by deriving new Field types. For convenience, some derived - lsst.pex.config.Field-types (- ConfigFieldand- ConfigChoiceField) are defined in- lsst.pex.configthat handle recursing into subconfigs.- Inter-field relationships should only be checked in derived - Configclasses after calling this method, and base validation is complete.
 - values()¶
- Get field values. - Returns:
- valuesValuesView
- Iterator of field values. 
 
- values