pydox.calibration.MethodClimatology

class MethodClimatology(*args, **kwargs)

Quick and dirty implementation for dev purposes

Warning

This is a dummy implementation

__init__(*args, **kwargs)

Parameters:

• name (Optional[str] = None)

• config (Config) – A specific configuration object to use instead of the current one from pydox.params

Methods

__init__(*args, **kwargs)
create_corrBfile(a_float[, icfg])
fit(data)	Load input data and compute coefficients
flatten_configs()	Return a dictionary with all possible configurations
get_params(*args, **kwargs)	Get configuration parameter(s) for this instance only
load_input_data(*args, **kwargs)	Load input data for the flatten list of configurations
plot([icfg, categories, configs_layout])	Show figures from this instance
reset_params(*args, **kwargs)	Reset configuration parameter(s) to instantiation initial value(s)
set_best_fit(icfg)	Set the configuration ID for the best fit
set_params(*args, **kwargs)	Set configuration parameter(s) for this instance only
to_report(a_float[, file_name])	Create a calibration report
uid([icfg])	Unique identifier string for this instance

Attributes

best_fit	ID of the configuration selected as the best fit
coefs	Dictionary of fit coefficients for each configuration
configs	A property to directly access the dictionary of configurations
configs_figures	Dictionary of figures associated with each configurations UID
figures	List of figures associated with this workflow UID
fit_data	Dictionary of fit auxiliary data for each configuration
fitted	Was the instance fitted at least once ?
input_data	Input data for fit
method	A more verbose description of this method
n_configs	Return the number of all possible configurations
rcgroup	Group name of the configuration file section to get this method parameters