215 def dataset(results, x=None, y=None, define=[]):  argument
237         if y is not None:
238             if y not in r:
241                 y_ = dat(r[y])
254 def datasets(results, by=None, x=None, y=None, define=[]):  argument
263     if y is None:
264         y = co.OrderedDict()
270                         y[k] = True
272                         y[k] = False
273         y = list(k for k,v in y.items() if v)
286             for y_ in y:
289                 k_y = y_ if len(y or []) > 1 or (not ks_ and not k_x) else ''
305         self.y = 0
332         x, y = i
335         if y < 0:
336             y += len(self.yweights)
338         return self.map[(x,y)]
422                     s.y += len(self_yweights)
427                 self.map = self_map | {(x, y+len(self_yweights)): s
428                     for (x, y), s in other_map.items()}
431                     s.y += len(other.yweights)
436                 self.map = other_map | {(x, y+len(other.yweights)): s
437                     for (x, y), s in self_map.items()}
469                         if s.y+s.yspan-1 == new_i:
471                         elif s.y > new_i:
472                             s.y += 1
487                         if s.y+s.yspan-1 == new_i:
489                         elif s.y > new_i:
490                             s.y += 1
525                 self.map = self_map | {(x+len(self_xweights), y): s
526                     for (x, y), s in other_map.items()}
534                 self.map = other_map | {(x+len(other.xweights), y): s
535                     for (x, y), s in self_map.items()}
567         y=None,  argument
729         for k, vs in it.chain(by or [], x or [], y or [])))
734     if y is not None:
735         y = [k for k, _ in y]
741     datasets_ = datasets(results, by, x, y, define)
780             grid.height-(s.y+s.yspan) + (1 if legend_above else 0)
781                 : grid.height-s.y + (1 if legend_above else 0),
815         subdatasets = datasets(results, by, x, y, define_)
820             dats = sorted((x,y) for x,y in dataset.items())
821             ax.plot([x for x,_ in dats], [y for _,y in dats],
1003         fig.supylabel(escape(ylabel), y=ymid)