Many of the Connectivity functions have a long list of parameters that are used if the input data is not Epochs. However, if the input is Epochs, then a lot of this can be trimmed.
Describe your solution
Similar to how mne-python has a function to compute tfr_wavelets from both Raw and numpy arrays, we should also have a function to compute on arrays vs MNE native data structures. This will then simplify how the user will call the underlying functions and also greatly simplify the implementation of the API for any function using Epochs.
Describe the problem
Many of the Connectivity functions have a long list of parameters that are used if the input data is not
Epochs. However, if the input isEpochs, then a lot of this can be trimmed.Describe your solution
Similar to how mne-python has a function to compute
tfr_waveletsfrom bothRawand numpy arrays, we should also have a function to compute on arrays vs MNE native data structures. This will then simplify how the user will call the underlying functions and also greatly simplify the implementation of the API for any function usingEpochs.cc: @drammock @larsoner
See for example: https://mne.tools/stable/generated/mne.time_frequency.tfr_morlet.html