code: def split_path(path):
      
      path = path.split(0, 1)[0]
      values = path.dimension_values(0)
      splits = np.concatenate([[0], np.where(np.isnan(values))[0]+1, [None]])
      subpaths = []
      data = PandasInterface.as_dframe(path) if pd else path.array()
      for i in range(len(splits)-1):
          end = splits[i+1]
          slc = slice(splits[i], None if end is None else end-1)
          subpath = data.iloc[slc] if pd else data[slc]
          if len(subpath):
              subpaths.append(subpath)
      return subpaths
docs: Split a Path type containing a single NaN separated path into
      multiple subpaths.