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If a run is very long, and we have already stored the FCs for the whole run, it would be nice to be able to slice a sub-spectrogram out of the mth5.
I'm not sure where this would go -- the functionality would be similar to the function RunGroup's to_run_ts() method in mth5/mth5/groups/run.py, which takes optional start, end keyword arguments.
but it could perhaps go into to_xarray() method in mth5/mth5/groups/fourier_coefficients.py
In this case, because the FC Dataset is 2-dimensional (time and frequency) ideally we could slice on either of these dimensions, so the kwargs could be start, end, frequency_min, frequency_max for example
The text was updated successfully, but these errors were encountered:
Context:
If a run is very long, and we have already stored the FCs for the whole run, it would be nice to be able to slice a sub-spectrogram out of the mth5.
I'm not sure where this would go -- the functionality would be similar to the function
RunGroup
'sto_run_ts()
method inmth5/mth5/groups/run.py
, which takes optionalstart
,end
keyword arguments.but it could perhaps go into
to_xarray()
method inmth5/mth5/groups/fourier_coefficients.py
In this case, because the FC Dataset is 2-dimensional (time and frequency) ideally we could slice on either of these dimensions, so the kwargs could be
start
,end
,frequency_min
,frequency_max
for exampleThe text was updated successfully, but these errors were encountered: