postprocessor.core.multisignal.align.align

class align(parameters)[source]

Bases: PostProcessABC

Process to align a signal by corresponding events.

For example, aligning flavin fluorescence time series by the first birth event of the cell each time series is derived from.

Attributes
parameters

Methods

run(trace_df: pd.DataFrame, mask_df: pd.DataFrame)

Align signals by events.
Attributes
parameters

Methods

run(trace_df, mask_df)

Align signals by events.

as_function

default_parameters
__init__(parameters)[source]

Methods

__init__(parameters)

as_function(data, *extra_data, **kwargs)

default_parameters(*args, **kwargs)

run(trace_df, mask_df)

Align signals by events.

Attributes

parameters

run(trace_df, mask_df)[source]

Align signals by events.

Parameters
trace_dfpd.DataFrame

Signal time series, with rows indicating individual time series (e.g. from each cell), and columns indicating time points.

mask_dfpd.DataFrame

Event time series/mask, with rows indicating individual cells and columns indicating time points. The values of each element are either 0 or 1 – 0 indicating the absence of the event, and 1 indicating the presence of the event. Effectively, this DataFrame is like a mask. For example, this DataFrame can indicate when birth events are identified for each cell in a dataset.