The dimensions of an Sv dataset can be seen with "print(ds_Sv.dims)". The dimension "range_sample" disappears and is replaced with "echo_range" after running ep.commongrid.compute_MVBS on AZFP data. This could be fine, but this causes issues later when running metrics\summary_statistics.py functions. The default range_label is "echo_range", but then within the functions, there are hard-coded calls to "range_samples". This bug can be fixed by changing these hard-coded "range_samples" to range_label. OR compute_MVBS should be changed to output both "range_samples" and "echo_range".
The dimensions of an Sv dataset can be seen with "print(ds_Sv.dims)". The dimension "range_sample" disappears and is replaced with "echo_range" after running ep.commongrid.compute_MVBS on AZFP data. This could be fine, but this causes issues later when running metrics\summary_statistics.py functions. The default range_label is "echo_range", but then within the functions, there are hard-coded calls to "range_samples". This bug can be fixed by changing these hard-coded "range_samples" to range_label. OR compute_MVBS should be changed to output both "range_samples" and "echo_range".