mne.viz.centers_to_edges#

mne.viz.centers_to_edges(*arrays)[source]#

Convert center points to edges.

Parameters:
*arrayslist of ndarray

Each input array should be 1D monotonically increasing, and will be cast to float.

Returns:
arrayslist of ndarray

Given each input of shape (N,), the output will have shape (N+1,).

Examples

>>> x = [0., 0.1, 0.2, 0.3]
>>> y = [20, 30, 40]
>>> centers_to_edges(x, y)  
[array([-0.05, 0.05, 0.15, 0.25, 0.35]), array([15., 25., 35., 45.])]

Examples using mne.viz.centers_to_edges#

Time-frequency on simulated data (Multitaper vs. Morlet vs. Stockwell vs. Hilbert)

Time-frequency on simulated data (Multitaper vs. Morlet vs. Stockwell vs. Hilbert)