postprocessor.core.processes.butter.butterParameters

class butterParameters(**kwargs)

Bases: ParametersABC

Parameters for the ‘butter’ process.

Parameters for the ‘butter’ process.

Attributes

orderint

The order of the filter.

critical_freqsarray_like

The critical frequency or frequencies. For lowpass and highpass filters, Wn is a scalar; for bandpass and bandstop filters, Wn is a length-2 sequence. For a Butterworth filter, this is the point at which the gain drops to 1/sqrt(2) that of the passband (the “-3 dB point”). For digital filters, if fs is not specified, Wn units are normalized from 0 to 1, where 1 is the Nyquist frequency (Wn is thus in half cycles / sample and defined as 2*critical frequencies / fs). If fs is specified, Wn is in the same units as fs. For analog filters, Wn is an angular frequency (e.g. rad/s).

filter_type{‘lowpass’, ‘highpass’, ‘bandpass’, ‘bandstop’}

The type of filter. Default is ‘lowpass’.

sampling_freqfloat

The sampling frequency of the digital system.

Methods

from_yaml(source)	Returns instance from a yaml filename or stdin
to_dict([iterable])	Recursive function to return a nested dictionary of the attributes of the class instance.
to_yaml([path])	Returns a yaml stream of the attributes of the class instance.
update(name, new_value)	Update values recursively if name is a dictionary, replace data where existing found or add if not.

default
from_dict

Defines parameters as attributes

Methods

from_yaml(source)	Returns instance from a yaml filename or stdin
to_dict([iterable])	Recursive function to return a nested dictionary of the attributes of the class instance.
to_yaml([path])	Returns a yaml stream of the attributes of the class instance.
update(name, new_value)	Update values recursively if name is a dictionary, replace data where existing found or add if not.

default
from_dict

__init__(**kwargs)

Defines parameters as attributes

Methods

__init__(**kwargs)	Defines parameters as attributes
default(**kwargs)
from_dict(d)
from_yaml(source)	Returns instance from a yaml filename or stdin
to_dict([iterable])	Recursive function to return a nested dictionary of the attributes of the class instance.
to_yaml([path])	Returns a yaml stream of the attributes of the class instance.
update(name, new_value)	Update values recursively if name is a dictionary, replace data where existing found or add if not.

classmethod from_yaml(source)

Returns instance from a yaml filename or stdin

to_dict(iterable='null')

Recursive function to return a nested dictionary of the attributes of the class instance.

Return type

Dict

to_yaml(path=None)

Returns a yaml stream of the attributes of the class instance. If path is provided, the yaml stream is saved there.

Parameters

pathUnion[Path, str]

Output path.

update(name, new_value)

Update values recursively if name is a dictionary, replace data where existing found or add if not. It warns against type changes.

If the existing structure under name is a dictionary, it looks for the first occurrence and modifies it accordingly.

If a leaf node that is to be changed is a collection, it adds the new elements.