MultiVisitCoveragePlot¶
- class lsst.analysis.tools.actions.plot.MultiVisitCoveragePlot(*args, **kw)¶
Bases:
PlotAction
Plot the coverage for a set of visits.
Attributes Summary
Apply a
Context
to anAnalysisAction
recursively.A dict mapping which color to use for the labels of a given band.
Name of the color map to be used if not using the default color-blind friendly orange/blue default (used if this is set to
None
).Whether to scatter the points in RA/Dec before plotting.
If a configurable action is assigned to a
ConfigurableActionField
, or aConfigurableActionStructField
the name of the field will be bound to this variable when it is retrieved.Number of bins to use within the effective plot ranges along the spatial directions.
Threshold number of data points above which binning of the data will be performed in the RA/Dec projection.
List of paramters to plot.
Whether to plot tract outlines for all tracts within the plot limits (regardless if they have any data in them).
Whether to plot a shaded outline of the detector size in the RA/Dec projectionfor reference.
The name for the plot.
Projection to plot.
A dict mapping the RA/Dec limits to apply to the plot.
List of all bands that could, in principle, but do not have to, exist in data table.
List of tracts within which to limit the RA and Dec limits of the plot.
Whether to trim the plot limits to the tract limit(s).
A dict mapping a parameter to its appropriate units (for label plotting).
List of columns to load from input table.
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
Config
for 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
AnalysisAction
expects 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
AnalysisAction
will produce, if the__call__
method returnsKeyedData
, 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, camera, skymap, ...])Make an Nband x Nparameter panel multi-visit coverage plot.
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
- applyContext¶
Apply a
Context
to anAnalysisAction
recursively.Generally this method is called from within an
AnalysisTool
to configure allAnalysisAction
s 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:
- context
Context
The specific execution context, this may be a single context or a joint context, see
Context
for more info.
- context
- bandLabelColorDict¶
A dict mapping which color to use for the labels of a given band. (
Dict
, default{'u': 'tab:purple', 'g': 'tab:blue', 'r': 'tab:green', 'i': 'gold', 'z': 'tab:orange', 'y': 'tab:red', 'N921': 'tab:pink'}
)
- cmapName¶
Name of the color map to be used if not using the default color-blind friendly orange/blue default (used if this is set to
None
). Any name available viamatplotlib.cm
may be used. (str
, defaultNone
)
- doScatterInRaDec¶
Whether to scatter the points in RA/Dec before plotting. This may be useful for visualization for surveys with tight dithering patterns. (
bool
, defaultFalse
)
- history¶
Read-only history.
- identity: str | None = None¶
If a configurable action is assigned to a
ConfigurableActionField
, or aConfigurableActionStructField
the name of the field will be bound to this variable when it is retrieved.
- nBins¶
Number of bins to use within the effective plot ranges along the spatial directions. Only used in the “raDec” projection (for the “focalPlane” projection, the binning is effectively one per detector). (
int
, default25
)
- nPointBinThresh¶
Threshold number of data points above which binning of the data will be performed in the RA/Dec projection. If
projection
is “focalPlane”, the per-detector nPoint threshold is nPointMinThresh/number of science detectors in the givencamera
. (int
, default400
)
- parametersToPlotList¶
List of paramters to plot. They are plotted along rows and the columns plot these parameters for each band. (
List
, default['psfSigma', 'astromOffsetMean', 'medianE', 'psfStarScaledDeltaSizeScatter', 'skyBg', 'zeroPoint']
)
- plotAllTractOutlines¶
Whether to plot tract outlines for all tracts within the plot limits (regardless if they have any data in them). (
bool
, defaultFalse
)
- plotDetectorOutline¶
Whether to plot a shaded outline of the detector size in the RA/Dec projectionfor reference. Ignored if
projection
is not raDec or no camera is provided in the inputs. (bool
, defaultFalse
)
- projection¶
Projection to plot. Currently only “raDec” and “focalPlane” are permitted. In either case, one point is plotted per visit/detector combination. (
str
, default'raDec'
)
- raDecLimitsDict¶
A dict mapping the RA/Dec limits to apply to the plot. Set to
None
to use base limits on the default or the other config options. The dict must contain the keys raMin, ramax, decMin, decMax, e.g. raDecLimitsDict = {“raMin”: 0, “raMax”: 360, “decMin”: -90, “decMax”: 90}. Not compatible withtrimToTract
ortractsToPlotList
(i.e. the latter two will be ignored if the dict is notNone
). (Dict
, defaultNone
)
- sortedFullBandList¶
List of all bands that could, in principle, but do not have to, exist in data table. The sorting of the plot panels will follow this list (typically by wavelength). (
List
, default['u', 'g', 'r', 'i', 'z', 'y', 'N921']
)
- tractsToPlotList¶
List of tracts within which to limit the RA and Dec limits of the plot. (
List
, defaultNone
)
- trimToTract¶
Whether to trim the plot limits to the tract limit(s). Otherwise, plot will be trimmed to data limits (both will be expanded in the smaller range direction for an equal aspect square plot). (
bool
, defaultFalse
)
- unitsDict¶
A dict mapping a parameter to its appropriate units (for label plotting). (
Dict
, default{'astromOffsetMean': 'arcsec', 'astromOffsetStd': 'arcsec', 'psfSigma': 'pixels', 'skyBg': 'counts', 'skyNoise': 'counts', 'visit': 'number', 'detector': 'number', 'zenithDistance': 'deg', 'zeroPoint': 'mag', 'ra': 'deg', 'decl': 'deg', 'xFp': 'mm', 'yFp': 'mm', 'medianE': '', 'psfStarScaledDeltaSizeScatter': ''}
)
- vectorsToLoadList¶
List of columns to load from input table. (
List
, default['visitId', 'detector', 'band', 'ra', 'decl', 'zeroPoint', 'psfSigma', 'skyBg', 'astromOffsetMean', 'psfStarDeltaE1Median', 'psfStarDeltaE2Median', 'psfStarScaledDeltaSizeScatter', 'llcra', 'lrcra', 'ulcra', 'urcra', 'llcdec', 'lrcdec', 'ulcdec', 'urcdec', 'xSize', 'ySize']
)
Methods Documentation
- __call__(data: MutableMapping[str, ndarray[Any, dtype[ScalarType]] | Scalar | HealSparseMap], **kwargs) Mapping[str, Figure] | Figure ¶
Call self as a function.
- addInputSchema(inputSchema: HealSparseMap]]]) 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:
- inputSchema
KeyedDataSchema
A schema that is to be merged in with any existing schema when a call to
getInputSchema
is made.
- inputSchema
- compare(other, shortcut=True, rtol=1e-08, atol=1e-08, output=None)¶
Compare this configuration to another
Config
for equality.- Parameters:
- other
lsst.pex.config.Config
Other
Config
object to compare against this config.- shortcut
bool
, optional If
True
, return as soon as an inequality is found. Default isTrue
.- rtol
float
, optional Relative tolerance for floating point comparisons.
- atol
float
, optional Absolute tolerance for floating point comparisons.
- outputcallable, optional
A callable that takes a string, used (possibly repeatedly) to report inequalities.
- other
- Returns:
- isEqual
bool
True
when the twolsst.pex.config.Config
instances are equal.False
if there is an inequality.
- isEqual
See also
Notes
Unselected targets of
RegistryField
fields and unselected choices ofConfigChoiceField
fields 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:
- name
str
Name of a
Field
in this config.- kwargs
Keyword arguments passed to
lsst.pex.config.history.format
.
- name
- Returns:
- history
str
A string containing the formatted history.
- history
See also
- freeze()¶
Make this config, and all subconfigs, read-only.
- getFormattedInputSchema(**kwargs) HealSparseMap]]] ¶
Return input schema, with keys formatted with any arguments supplied by kwargs passed to this method.
- Returns:
- result
KeyedDataSchema
The schema this action requires to be present when calling this action, formatted with any input arguments (e.g. band=’i’)
- result
- getInputSchema() HealSparseMap]]] ¶
Return the schema an
AnalysisAction
expects to be present in the arguments supplied to the __call__ method.- Returns:
- result
KeyedDataSchema
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:
- config
lsst.pex.config.Config
, optional Configuration of the task. This is only used if the output naming needs to be config-aware.
- config
- Returns:
- result
Iterable
ofstr
If a
PlotAction
produces more than one plot, this should be the keys the action will use in the returnedMapping
.
- result
- getOutputSchema() HealSparseMap]]] | None ¶
Return the schema an
AnalysisAction
will produce, if the__call__
method returnsKeyedData
, otherwise this may return None.- Returns:
- result
KeyedDataSchema
or 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:
- items
ItemsView
Iterator of tuples for each configuration. Tuple items are:
Field name.
Field value.
- items
- keys()¶
Get field names.
- Returns:
- names
KeysView
List of
lsst.pex.config.Field
names.
- names
- load(filename, root='config')¶
Modify this config in place by executing the Python code in a configuration file.
- Parameters:
- filename
str
Name of the configuration file. A configuration file is Python module.
- root
str
, 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
myField
is set to5
.
- 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
, or compiled string Stream containing configuration override code. If this is a code object, it should be compiled with
mode="exec"
.- root
str
, 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
myField
is set to5
.- filename
str
, optional Name of the configuration file, or
None
if unknown or contained in the stream. Used for error reporting.- extraLocals
dict
ofstr
toobject
, 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
loadFromString
instead 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:
- code
str
,bytes
, or compiled string Stream containing configuration override code.
- root
str
, 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
myField
is set to5
.- filename
str
, optional Name of the configuration file, or
None
if unknown or contained in the stream. Used for error reporting.- extraLocals
dict
ofstr
toobject
, 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: MutableMapping[str, ndarray[Any, dtype[ScalarType]] | Scalar | HealSparseMap], plotInfo: Mapping[str, str] | None = None, camera: Camera | None = None, skymap: BaseSkyMap | None = None, calibrateConfig: Config | None = None, makeWarpConfig: Config | None = None, **kwargs) Figure ¶
Make an Nband x Nparameter panel multi-visit coverage plot.
The panels rows are for different bands,sorted according to the order in config
sortedFullBandList
. The columns are per-parameter, plotted in the order given by the configparametersToPlotList
. Red “over” colors indicate thresholds in play in the data processing (e.g. used to select against data of sufficient quality).- Parameters:
- data
lsst.analysis.tools.interfaces.KeyedData
The key-based catalog of data to plot.
- plotInfo
dict
[str
], optional A dictionary of information about the data being plotted with (at least) keys:
- camera
lsst.afw.cameraGeom.Camera
, optional The camera object associated with the data. This is to enable the conversion of to focal plane coordinates (if needed, i.e. for the focal plane projection version of this plot) and to obtain the projected (in RA/Dec) size of a typical detector (for reference in the raDec projection plots when requested, i.e. if the config
plotDetectorOutline
isTrue
).- skymap
lsst.skymap.BaseSkyMap
, optional The sky map used for this dataset. If a specific tract[List] is provided, this is used to determine the appropriate RA & Dec limits to downselect the data to within those limits for plotting.
- calibrateConfig
lsst.pex.config.Config
, optional The persisted config used in the calibration task for the given collection. Used to introspect threshold values used in the run.
- makeWarpConfig
lsst.pex.config.Config
, optional The persisted config used in the makeWarp task for the given collection. Used to introspect threshold values used in the run.
- data
- Returns:
- fig
matplotlib.figure.Figure
The resulting figure.
- fig
- save(filename, root='config')¶
Save a Python script to the named file, which, when loaded, reproduces this config.
- Parameters:
- filename
str
Desination filename of this configuration.
- root
str
, 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.
- root
Name to use for the root config variable. The same value must be used when loading (see
lsst.pex.config.Config.load
).- skipImports
bool
, optional If
True
then do not includeimport
statements in output, this is to support human-oriented output frompipetask
where additional clutter is not useful.
- saveToString(skipImports=False)¶
Return the Python script form of this configuration as an executable string.
- Parameters:
- Returns:
- code
str
A code string readable by
loadFromString
.
- code
- setDefaults()¶
Subclass hook for computing defaults.
Notes
Derived
Config
classes that must compute defaults rather than using theField
instances’s defaults should do so here. To correctly use inherited defaults, implementations ofsetDefaults
must call their base class’ssetDefaults
.
- toDict()¶
Make a dictionary of field names and their values.
See also
Notes
This method uses the
toDict
method of individual fields. Subclasses ofField
may need to implement atoDict
method 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
__at
and__label
keyword 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 aConfig
instance’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
fieldA
andfieldC
:>>> 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
validate
methods.Complex single-field validation can be defined by deriving new Field types. For convenience, some derived
lsst.pex.config.Field
-types (ConfigField
andConfigChoiceField
) are defined inlsst.pex.config
that handle recursing into subconfigs.Inter-field relationships should only be checked in derived
Config
classes after calling this method, and base validation is complete.
- values()¶
Get field values.
- Returns:
- values
ValuesView
Iterator of field values.
- values