eelbrain.UTS

class eelbrain.UTS(tmin, tstep, nsamples, unit='s', name='time')

Dimension object for representing uniform time series

Parameters:

• tmin (float) – First time point (inclusive).

• tstep (float) – Time step between samples.

• nsamples (int) – Number of samples.

• unit (str) – Unit used for plotting.

• name (str) – Dimension name, used as NDVar attribute name.

tmin

Lowest time point in seconds.

Type:

float

tmax

Largest time point [s].

Type:

float

tstep

Time step for each sample [s].

Type:

float

nsamples

Number of samples.

Type:

int

tstop

Time sample after tmax [s] (consistent with indexing excluding end point).

Type:

float

times

Array with all time points, with shape (n_samples,).

Type:

numpy.ndarray

Notes

Special indexing:

(tstart, tstop)tuple

Restrict the time to the indicated window (either end-point can be None).

Methods

adjacency()	Retrieve the dimension's adjacency graph
dimindex(arg)	Convert a dimension index to an array index
from_int(first, last, sfreq)	Create a UTS dimension from sample index and sampling frequency
from_range(tstart, tstop, tstep)	Create time axis from interval and samplingrate
index_into_dim(dim)	Index into a subset dimension
intersect(dim[, check_dims])	Create a UTS dimension that is the intersection with dim