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Go from components_by_parent (dict of lists of sets) to core_df pandas Series, sorted by timestamp or at least chronologically.
cluster_df can be instantiated from core_df + the set of border points of the parent, and then mutated at this step
We need to pipe through data to get the coords.
With these objects in place, we can iterate chronologically like:
for curr_time in core_df: that is, through the core points.
Figure out the equivalent notion of "active cluster", considering that the natural order now is "parent cluster > child clusters" but, indeed, one of the children comes first.
datato get the coords.With these objects in place, we can iterate chronologically like:
for curr_time in core_df:that is, through the core points.