ResultsAidAdv

Defined in module: wield.iirrational.v2.results_aid_adv.ResultsAidAdv

class ResultsAidAdv(fit_aid, **kwargs)

Bases: ResultsAid

__init__(fit_aid, **kwargs)

Methods

__init__(fit_aid, **kwargs)
alternatives_export_dict([local_best])
as_ZPKrep()	Returns the filter as an wield.iirrational ZPKwData object, for use with other fitters in the wield.iirrational package.
as_fitterMRF_ZPKz([t_sample_s, F_sample_Hz, ...])	Returns the chosen filter in scipy format for the z domain (must specify t_sample_s, or F_sample_Hz or F_nyquist_Hz).
as_foton_ZPKsf([with_delay])	Returns the chosen filter as a string foton formatting.
as_foton_ZPKsn([with_delay])	Returns the chosen filter as a string foton formatting.
as_foton_str_ZPKsf([annotate_pairs])	Returns the chosen filter as a string foton formatting.
as_foton_str_ZPKsn([annotate_pairs])	Returns the chosen filter as a string foton formating.
as_foton_str_ZPKz([t_sample_s, F_sample_Hz, ...])	Returns the chosen filter in foton format native for the z domain (must specify t_sample_s, or F_sample_Hz or F_nyquist_Hz).
as_matlab_str_ZPKsw()	Returns the chosen filter in matlab format for the z domain (must specify t_sample_s, or F_sample_Hz or F_nyquist_Hz)
as_refine_str([sigfigs])
as_scipy_signal_ZPKsw([with_delay])	Returns the chosen filter in scipy format
as_scipy_signal_ZPKz([t_sample_s, ...])	Returns the chosen filter in scipy format for the z domain (must specify t_sample_s, or F_sample_Hz or F_nyquist_Hz).
choice([order, direction])	Allows a temporary choice of fitter, for investigations without having to store the optimal choice.
choice_export_dict()
choose([order, direction])	Chooses the filter with the lowest residual of order equal or less than requested.
investigate_covarianceRI([output])	outputs the covariance matrix for the real/imaginary parts of the chosen filter.
investigate_fisherRI_print([output])	outputs the covariance matrix for the real/imaginary parts of the chosen filter.
investigate_fit_plot([fname, xscale])	Generates a plot of the fit.
investigate_order_arrays([local_best])
investigate_order_console([tablefmt, ...])
investigate_order_plot([fname, xscale])
investigate_valuesRI_print([output])	outputs the covariance matrix for the real/imaginary parts of the chosen filter.
residuals_by_order()

Attributes

ZPKrep
asSISOzpk
asSISOzpkFull	Includes the overlay
fitter
fitterRI
order

investigate_fit_plot(fname=None, xscale='log_zoom', **kwargs)

Generates a plot of the fit. Returns a Bunch object which stores the axes and figure of the plot.

investigate_order_arrays(local_best=True)

investigate_order_console(tablefmt='simple', print_function=<built-in function print>)

investigate_order_plot(fname=None, xscale='log_zoom', **kwargs)

investigate_covarianceRI(output='print')

outputs the covariance matrix for the real/imaginary parts of the chosen filter.

investigate_valuesRI_print(output='print')

outputs the covariance matrix for the real/imaginary parts of the chosen filter.

output specifies the output format, which may be one of: - “print”: - “arguments”: - “matrix”: - “values”:

investigate_fisherRI_print(output='print')

outputs the covariance matrix for the real/imaginary parts of the chosen filter.

output specifies the output format, which may be one of: - “print”: - “arguments”: - “matrix”: - “values”:

property ZPKrep

alternatives_export_dict(local_best=True)

property asSISOzpk

property asSISOzpkFull

Includes the overlay

as_ZPKrep()

Returns the filter as an wield.iirrational ZPKwData object, for use with other fitters in the wield.iirrational package.

as_fitterMRF_ZPKz(t_sample_s=None, F_sample_Hz=None, F_nyquist_Hz=None)

Returns the chosen filter in scipy format for the z domain (must specify t_sample_s, or F_sample_Hz or F_nyquist_Hz). This transforms into the Z domain, then reruns the optimization to ensure a best fit in the transformed coordinates.

as_foton_ZPKsf(with_delay=False)

Returns the chosen filter as a string foton formatting. Uses the frequency domain representation

as_foton_ZPKsn(with_delay=False)

Returns the chosen filter as a string foton formatting. Uses the frequency domain representation

as_foton_str_ZPKsf(annotate_pairs=False)

Returns the chosen filter as a string foton formatting. Uses the frequency domain representation

as_foton_str_ZPKsn(annotate_pairs=False)

Returns the chosen filter as a string foton formating. Uses the “normalized” frequency domain representation.

as_foton_str_ZPKz(t_sample_s=None, F_sample_Hz=None, F_nyquist_Hz=None)

Returns the chosen filter in foton format native for the z domain (must specify t_sample_s, or F_sample_Hz or F_nyquist_Hz). This transforms into the Z domain, then reruns the optimization to ensure a best fit in the transformed coordinates.

as_matlab_str_ZPKsw()

Returns the chosen filter in matlab format for the z domain (must specify t_sample_s, or F_sample_Hz or F_nyquist_Hz)

as_refine_str(sigfigs=5)

as_scipy_signal_ZPKsw(with_delay=False)

Returns the chosen filter in scipy format

as_scipy_signal_ZPKz(t_sample_s=None, F_sample_Hz=None, F_nyquist_Hz=None)

Returns the chosen filter in scipy format for the z domain (must specify t_sample_s, or F_sample_Hz or F_nyquist_Hz). This transforms into the Z domain, then reruns the optimization to ensure a best fit in the transformed coordinates.

choice(order=None, direction=None, **kwargs)

Allows a temporary choice of fitter, for investigations without having to store the optimal choice. Takes the same arguments as choose().

choice_export_dict()

choose(order=None, direction=None, **kwargs)

Chooses the filter with the lowest residual of order equal or less than requested. The data2filter algorithm will already have chosen a filter, but this allows investigating alternatives among the ones explored by the algorithm.

if order is None, then the order is taken to be the current order.

Can take argument “direction” to specify which nearest order to find

• “<=” or “le”: less than or equal to the specified order

• “>=” or “ge”: greater than or equal to the specified order

• “<” or “l”: less than the specified order

• “>” or “g”: greater than or equal to the specified order

Note that calling results.choose(direction = ‘>’) will return the fitter with the next order above the current one, and calling results.choose(direction = ‘<’) gives the next lower order. So that one can investigate the nearest alternative choices.

property fitter

property fitterRI

property order

residuals_by_order()