Dataset

Dataset are callable objects that represent a collection of time series datasets.

Example:

ts = pytimeops.Timeseries(...)
ds = pytimeops.Dataset(ts, metadata = {"time interval [ms]": 100, "comments": "data associated with Figure 1H-K from the 2022 iScience paper", "filename": "mydata.csv"})

Overview:

• Dataset

class pytimeops.Dataset(dataset, metadata)

Class to represent a dataset made of multiple Timeseries.

dataset

list of the Timeseries datasets

Type:

list(Timeseries)

metadata

global metadata about the dataset including e.g. time_interval [ms], filename and comments.

Type:

dict

print(nrows=-1)

check_timeseries(timeseries)

add_timeseries(Timeseries)

del_timeseries(Timeseries)

rebin(new_tinterval)

clean(control_settings, remove_matches, verbose=False)

get_channels(self)

list_types_in_metadata_attribute(attribute)

mean(self)

remove_channel(channel)

filter(key, allowed_values)