`Epochs.drop` should warn if all epochs would be dropped

[sappelhoff]

https://mne.tools/stable/generated/mne.Epochs.html#mne.Epochs.drop

We do the same for drop_channels:

mne-python/mne/channels/channels.py

Lines 600 to 601 in b44c46a

	if len(idx) == 0:
	raise ValueError("All channels would be dropped.")

[drammock]

+1 although I would prefer at least the option of a warning (as your title suggests) rather than error (as is done for channels). In a large-dataset-pipeline context I could see wanting both options actually: error during exploratory runs while tuning the reject thresholds, and warning at other times so that the pipeline keeps running even if one recording was really noisy. Which I guess means on_drop_all="ignore"|"warn"|"raise" ?

[shruti423]

Hi, I would like to work on this. I plan to implement the on_drop_all parameter as discussed above.