ConvertCatalogCoordinatesConfig¶
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class lsst.meas.astrom.ConvertCatalogCoordinatesConfig¶
- Bases: - lsst.pex.config.Config- Configuration for the MatchProbabilistic matcher. - Attributes Summary - column_ref_coord1- The reference table column for the first spatial coordinate (usually x or ra). - column_ref_coord2- The reference table column for the second spatial coordinate (usually y or dec).Units must match column_ref_coord1. - column_target_coord1- The target table column for the first spatial coordinate (usually x or ra).Units must match column_ref_coord1. - column_target_coord2- The target table column for the second spatial coordinate (usually y or dec).Units must match column_ref_coord2. - coords_ref_factor- Multiplicative factor for reference catalog coordinates.If coords_spherical is true, this must be the number of degrees per unit increment of column_ref_coord[12]. - coords_ref_to_convert- Dict mapping sky coordinate columns to be converted to pixel columns ( - Dict)- coords_spherical- Whether column_*_coord[12] are spherical coordinates (ra/dec) or not (pixel x/y) ( - bool, default- True)- coords_target_factor- Multiplicative factor for target catalog coordinates.If coords_spherical is true, this must be the number of degrees per unit increment of column_target_coord[12]. - history- mag_zeropoint_ref- Magnitude zeropoint for reference catalog. - Methods Summary - 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. - format_catalogs(catalog_ref, catalog_target, …)- Format matched catalogs that may require coordinate conversions. - freeze()- Make this config, and all subconfigs, read-only. - 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. - 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 - 
column_ref_coord1¶
- The reference table column for the first spatial coordinate (usually x or ra). ( - str, default- 'ra')
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column_ref_coord2¶
- The reference table column for the second spatial coordinate (usually y or dec).Units must match column_ref_coord1. ( - str, default- 'dec')
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column_target_coord1¶
- The target table column for the first spatial coordinate (usually x or ra).Units must match column_ref_coord1. ( - str, default- 'coord_ra')
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column_target_coord2¶
- The target table column for the second spatial coordinate (usually y or dec).Units must match column_ref_coord2. ( - str, default- 'coord_dec')
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coords_ref_factor¶
- Multiplicative factor for reference catalog coordinates.If coords_spherical is true, this must be the number of degrees per unit increment of column_ref_coord[12]. Otherwise, it must convert the coordinate to the same units as the target coordinates. ( - float, default- 1.0)
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coords_ref_to_convert¶
- Dict mapping sky coordinate columns to be converted to pixel columns ( - Dict)
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coords_spherical¶
- Whether column_*_coord[12] are spherical coordinates (ra/dec) or not (pixel x/y) ( - bool, default- True)
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coords_target_factor¶
- Multiplicative factor for target catalog coordinates.If coords_spherical is true, this must be the number of degrees per unit increment of column_target_coord[12]. Otherwise, it must convert the coordinate to the same units as the reference coordinates. ( - float, default- 1.0)
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history¶
 - Methods Documentation - 
compare(other, shortcut=True, rtol=1e-08, atol=1e-08, output=None)¶
- Compare this configuration to another - Configfor equality.- Parameters: - other : lsst.pex.config.Config
- Other - Configobject to compare against this config.
- shortcut : bool, optional
- If - True, return as soon as an inequality is found. Default is- True.
- rtol : float, optional
- Relative tolerance for floating point comparisons. 
- atol : float, optional
- Absolute tolerance for floating point comparisons. 
- output : callable, optional
- A callable that takes a string, used (possibly repeatedly) to report inequalities. 
 - Returns: - isEqual : bool
- Truewhen the two- lsst.pex.config.Configinstances are equal.- Falseif there is an inequality.
 - 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.
- other : 
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formatHistory(name, **kwargs)¶
- Format a configuration field’s history to a human-readable format. - Parameters: - name : str
- Name of a - Fieldin this config.
- kwargs
- Keyword arguments passed to - lsst.pex.config.history.format.
 - Returns: - history : str
- A string containing the formatted history. 
 - See also 
- name : 
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format_catalogs(catalog_ref: pandas.core.frame.DataFrame, catalog_target: pandas.core.frame.DataFrame, select_ref: numpy.array = None, select_target: numpy.array = None, radec_to_xy_func: Callable = None, return_converted_columns: bool = False, **kwargs)¶
- Format matched catalogs that may require coordinate conversions. - Parameters: - catalog_ref : pandas.DataFrame
- A reference catalog for comparison to - catalog_target.
- catalog_target : pandas.DataFrame
- A target catalog with measurements for comparison to - catalog_ref.
- select_ref : numpy.ndarray, (Nref,)
- A boolean array of len - catalog_ref, True for valid match candidates.
- select_target : numpy.ndarray, (Ntarget,)
- A boolean array of len - catalog_target, True for valid match candidates.
- radec_to_xy_func : typing.Callable
- Function taking equal-length ra, dec arrays and returning an ndarray of - - x: current parameter (- float). -- extra_args: additional arguments (- dict).
- return_converted_columns : bool
- Whether to return converted columns in the - coord1and- coord2attributes, rather than keep the original values.
- kwargs
 - Returns: - compcat_ref, compcat_target : ComparableCatalog
- Comparable catalogs corresponding to the input reference and target. 
 
- catalog_ref : 
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freeze()¶
- Make this config, and all subconfigs, read-only. 
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items()¶
- Get configurations as - (field name, field value)pairs.- Returns: - items : dict_items
- Iterator of tuples for each configuration. Tuple items are: - Field name.
- Field value.
 
 
- items : 
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keys()¶
- Get field names. - Returns: - names : dict_keys
- List of - lsst.pex.config.Fieldnames.
 - See also - lsst.pex.config.Config.iterkeys
 
- names : 
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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 - myFieldis set to- 5.
 
- filename : 
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loadFromStream(stream, root='config', filename=None)¶
- Modify this Config in place by executing the Python code in the provided stream. - Parameters: - stream : file-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 - myFieldis set to- 5.
- filename : str, optional
- Name of the configuration file, or - Noneif unknown or contained in the stream. Used for error reporting.
 - 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.
- stream : file-like object, 
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loadFromString(code, root='config', filename=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 - myFieldis set to- 5.
- filename : str, optional
- Name of the configuration file, or - Noneif unknown or contained in the stream. Used for error reporting.
 
- code : 
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names()¶
- Get all the field names in the config, recursively. - Returns: 
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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 : 
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saveToStream(outfile, root='config', skipImports=False)¶
- Save a configuration file to a stream, which, when loaded, reproduces this config. - Parameters: - outfile : file-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 - Truethen do not include- importstatements in output, this is to support human-oriented output from- pipetaskwhere additional clutter is not useful.
 
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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 : 
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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.
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toDict()¶
- Make a dictionary of field names and their values. - Returns: - See also - Notes - This method uses the - toDictmethod of individual fields. Subclasses of- Fieldmay need to implement a- toDictmethod for this method to work.
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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!' 
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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.
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values()¶
- Get field values. - Returns: - values : dict_values
- Iterator of field values. 
 
- values : 
 
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