ScatterPlotWithTwoHists

class lsst.analysis.tools.actions.plot.ScatterPlotWithTwoHists(*args, **kw)

Bases: PlotAction

Makes a scatter plot of the data with a marginal histogram for each axis.

Attributes Summary

addSummaryPlot

Add a summary plot to the figure? (bool, default True)

applyContext

Apply a Context to an AnalysisAction recursively.

history

identity

If a configurable action is assigned to a ConfigurableActionField, or a ConfigurableActionStructField the name of the field will be bound to this variable when it is retrieved.

legendLocation

Legend position within main plot (str, default 'upper left')

magLabel

Label to use for the magnitudes used for SNR (str)

nBins

Number of bins on x axis (float, default 40.0)

plot2DHist

Plot a 2D histogram in dense areas of points on the scatter plot.Doesn't look great if plotting multiple datasets on top of each other.

plotTypes

Selection of types of objects to plot.

xAxisLabel

Label to use for the x axis (str)

xLims

xlimits of the plot, if not specified determined from data (List, default None)

yAxisLabel

Label to use for the y axis (str)

yLims

ylimits of the plot, if not specified determined from data (List, default None)

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.

getInputSchema()

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.

getOutputSchema()

Return the schema an AnalysisAction will 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, skymap, plotInfo, **kwargs)

Makes a generic plot with a 2D histogram and collapsed histograms of each axis.

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.

setDefaults()

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

addSummaryPlot

Add a summary plot to the figure? (bool, default True)

applyContext

Apply a Context to an AnalysisAction recursively.

Generally this method is called from within an AnalysisTool to 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 Context for more info.

history

Read-only history.

identity: str | None = None

If a configurable action is assigned to a ConfigurableActionField, or a ConfigurableActionStructField the name of the field will be bound to this variable when it is retrieved.

legendLocation

Legend position within main plot (str, default 'upper left')

magLabel

Label to use for the magnitudes used for SNR (str)

nBins

Number of bins on x axis (float, default 40.0)

plot2DHist

Plot a 2D histogram in dense areas of points on the scatter plot.Doesn’t look great if plotting multiple datasets on top of each other. (bool, default True)

plotTypes

Selection of types of objects to plot. Can take any combination of stars, galaxies, unknown, any (List)

xAxisLabel

Label to use for the x axis (str)

xLims

xlimits of the plot, if not specified determined from data (List, default None)

yAxisLabel

Label to use for the y axis (str)

yLims

ylimits of the plot, if not specified determined from data (List, default None)

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:
inputSchemaKeyedDataSchema

A schema that is to be merged in with any existing schema when a call to getInputSchema is made.

compare(other, shortcut=True, rtol=1e-08, atol=1e-08, output=None)

Compare this configuration to another Config for equality.

Parameters:
otherlsst.pex.config.Config

Other Config object 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.

Returns:
isEqualbool

True when the two lsst.pex.config.Config instances are equal. False if there is an inequality.

Notes

Unselected targets of RegistryField fields and unselected choices of ConfigChoiceField 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:
namestr

Name of a Field in this config.

kwargs

Keyword arguments passed to lsst.pex.config.history.format.

Returns:
historystr

A string containing the formatted history.

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:
resultKeyedDataSchema

The schema this action requires to be present when calling this action, formatted with any input arguments (e.g. band=’i’)

getInputSchema() HealSparseMap]]]

Return the schema an AnalysisAction expects 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.

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.

Returns:
resultIterable of str

If a PlotAction produces more than one plot, this should be the keys the action will use in the returned Mapping.

getOutputSchema() HealSparseMap]]] | None

Return the schema an AnalysisAction will produce, if the __call__ method returns KeyedData, otherwise this may return None.

Returns:
resultKeyedDataSchema 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.

items()

Get configurations as (field name, field value) pairs.

Returns:
itemsItemsView

Iterator of tuples for each configuration. Tuple items are:

  1. Field name.

  2. Field value.

keys()

Get field names.

Returns:
namesKeysView

List of lsst.pex.config.Field 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 myField is set to 5.

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".

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 myField is set to 5.

filenamestr, optional

Name of the configuration file, or None if unknown or contained in the stream. Used for error reporting.

extraLocalsdict of str to object, optional

Any extra variables to include in local scope when loading.

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:
codestr, bytes, or compiled string

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 myField is set to 5.

filenamestr, optional

Name of the configuration file, or None if unknown or contained in the stream. Used for error reporting.

extraLocalsdict of str to object, optional

Any extra variables to include in local scope when loading.

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], skymap: BaseSkyMap, plotInfo: Mapping[str, str], **kwargs) Figure

Makes a generic plot with a 2D histogram and collapsed histograms of each axis.

Parameters:
dataKeyedData

The catalog to plot the points from.

skymaplsst.skymap.BaseSkyMap

The skymap that gives the patch locations

plotInfodict

A dictionary of information about the data being plotted with keys:

  • "run"

    The output run for the plots (str).

  • "skymap"

    The type of skymap used for the data (str).

  • "filter"

    The filter used for this data (str).

  • "tract"

    The tract that the data comes from (str).

Returns:
figmatplotlib.figure.Figure

The resulting figure.

Notes

Uses the axisLabels config options x and y and the axisAction config options xAction and yAction to plot a scatter plot of the values against each other. A histogram of the points collapsed onto each axis is also plotted. A summary panel showing the median of the y value in each patch is shown in the upper right corner of the resultant plot. The code uses the selectorActions to decide which points to plot and the statisticSelector actions to determine which points to use for the printed statistics.

If this function is being used within the pipetask framework that takes care of making sure that data has all the required elements but if you are running this as a standalone function then you will need to provide the following things in the input data.

  • If stars is in self.plotTypes:

    xStars, yStars, starsHighSNMask, starsLowSNMask and {band}_highSNStars_{name}, {band}_lowSNStars_{name} where name is median, sigma_Mad, count and approxMag.

  • If it is for galaxies/unknowns then replace stars in the above names with galaxies/unknowns.

  • If it is for any (which covers all the points) then it becomes, x, y, and any instead of stars for the other parameters given above.

  • In every case it is expected that data contains:

    lowSnThreshold, highSnThreshold and patch (if the summary plot is being plotted).

Examples

An example of the plot produced from this code is here:

../_images/scatterPlotExample.png

For a detailed example of how to make a plot from the command line please see the getting started guide.

names()

Get all the field names in the config, recursively.

Returns:
nameslist of str

Field names.

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).

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).

skipImportsbool, optional

If True then do not include import statements in output, this is to support human-oriented output from pipetask where additional clutter is not useful.

saveToString(skipImports=False)

Return the Python script form of this configuration as an executable string.

Parameters:
skipImportsbool, optional

If True then do not include import statements in output, this is to support human-oriented output from pipetask where additional clutter is not useful.

Returns:
codestr

A code string readable by loadFromString.

setDefaults()

Subclass hook for computing defaults.

Notes

Derived Config classes that must compute defaults rather than using the Field instances’s defaults should do so here. To correctly use inherited defaults, implementations of setDefaults must call their base class’s setDefaults.

toDict()

Make a dictionary of field names and their values.

Returns:
dict_dict

Dictionary with keys that are Field names. Values are Field values.

Notes

This method uses the toDict method of individual fields. Subclasses of Field may need to implement a toDict 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 a Config 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 and 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 validate methods.

Complex single-field validation can be defined by deriving new Field types. For convenience, some derived lsst.pex.config.Field-types (ConfigField and ConfigChoiceField) are defined in lsst.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:
valuesValuesView

Iterator of field values.