Open mortonjt opened 7 years ago
In some cases, it is possible to get the following error
--------------------------------------------------------------------------- UnboundLocalError Traceback (most recent call last) <ipython-input-65-0950dae6eb6b> in <module>() 14 n.length = gradient.loc[list(n.subset())].mean() 15 ---> 16 p = radialplot(sorted_tree, figsize=(500, 500)) 17 show(p) /Users/mortonjt/Dropbox/UCSD/research/gneiss/gneiss/plot/_radial.py in radialplot(tree, node_color, node_size, node_alpha, edge_color, edge_alpha, edge_width, figsize, **kwargs) 62 t = UnrootedDendrogram.from_tree(tree) 63 ---> 64 nodes = t.coords(figsize[0], figsize[1]) 65 66 # fill in all of the node attributes /Users/mortonjt/Dropbox/UCSD/research/gneiss/gneiss/plot/_dendrogram.py in coords(self, height, width) 111 Specifies if the node is a tip in the treee. 112 """ --> 113 self.rescale(width, height) 114 result = {} 115 for node in self.postorder(): /Users/mortonjt/Dropbox/UCSD/research/gneiss/gneiss/plot/_dendrogram.py in rescale(self, width, height) 226 mid_y = height / 2 - ((max(ys) + min(ys)) / 2) * scale 227 best_args = (scale, mid_x, mid_y, direction, angle) --> 228 229 self.update_coordinates(*best_args) 230 return best_scale UnboundLocalError: local variable 'best_args' referenced before assignment
This can happen if the branch lengths are np.nan. Will need to find a way to check this better.
np.nan
In some cases, it is possible to get the following error