postprocessor.core.multisignal.align.alignParameters

class alignParameters(**kwargs)

Bases: ParametersABC

Parameters for the ‘align’ process.

Attributes

slice_before_first_event: bool

Whether to discard the parts of signals that occur before the first event being aligned. For example, whether to discard flavin fluorescence before the first birth event, after aligning by the first birth event.

events_at_least: int

Specifies the number of events required for each cell. For example, if events_at_least is 2, then it will discard time series (from the DataFrame) that have less than 2 events. As a more pratical example: discarding flavin time series that derive from cells with less than 2 buddings identified.

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.