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)

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

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