`poreflow.EventsDataFrame` ¶

Bases: DataFrame

Data frame storing events in a nanopore read

Data frame must contain the following columns: - start_idx (integers): The start index of the event in the measurement - end_idx (integers): The end index of the event - n_pts (int): The number of samples in the event - quality (float): The quality of the event - label (int): The label of the event

Other optional columns are: - start_time (float): The start time of the event in seconds. - end_time (float): The end time of the event - duration (float): The duration time of the event - ios (float): The local open state current during the event - channel (int): The channel number of the event. Useful when concatenating multiple event DataFrames.

Attributes:

Name	Type	Description
`sfreq`	`float`	The sampling frequency.
`handle`	`File`	TODO remove

`trim_events(size=(5, 5), time_ms=None, recalculate_times=True)` ¶

Parameters:

Name	Type	Description	Default
`size`	`tuple`		`(5, 5)`
`time_ms`	`tuple`	Time in milliseconds to trim off the start and end of an event	`None`
`recalculate_times`	`bool`		`True`

poreflow.EventsDataFrame ¶

trim_events(size=(5, 5), time_ms=None, recalculate_times=True) ¶

`poreflow.EventsDataFrame` ¶

`trim_events(size=(5, 5), time_ms=None, recalculate_times=True)` ¶