We can list all of a node's ancestors.
- >>> print [node for node in d.ancestors()]
+ >>> print([node for node in d.ancestors()])
[b, c, a]
- >>> print [node for node in d.ancestors(depth_first=True)]
+ >>> print([node for node in d.ancestors(depth_first=True)])
[b, a, c]
Ancestors works with cycles.
>>> a.append(d)
- >>> print [node for node in d.ancestors()]
+ >>> print([node for node in d.ancestors()])
[b, c, a, d]
We can find the cycle path.
- >>> print d.parent_path(d)
+ >>> print(d.parent_path(d))
[b, a, d]
After a run through :meth:`Graph.set_children`, we can also
>>> g = Graph([a, b, c, d])
>>> g.set_children()
- >>> print a.children
+ >>> print(a.children)
[b, c]
And descendents.
- >>> print [node for node in a.descendents(depth_first=True)]
+ >>> print([node for node in a.descendents(depth_first=True)])
[b, d, a, c]
"""
def __init__(self, parents=[], data=None):
p = GraphRowPrinter(tip_to_root=tip_to_root)
for node in nodes:
g.insert(node)
- print p(g[-1])
+ print(p(g[-1]))
For the split/join branch columns, "born" and "dead" are defined
from the point of view of `GraphRow`. For root-to-tip ordering
>>> n.i.extend([n.f, n.g, n.h])
>>> g = Graph([n.a,n.b,n.c,n.d,n.e,n.f,n.g,n.h,n.i])
>>> g.topological_sort(tip_to_root=True)
- >>> print [node for node in g]
+ >>> print([node for node in g])
[i, h, g, f, e, d, c, b, a]
- >>> print g.ascii_graph()
+ >>> print(g.ascii_graph())
r-\-\ a
| | * b
| * | c
| * | g
* | | h
t-/-/ i
- >>> print g.ascii_graph(tip_to_root=True)
+ >>> print(g.ascii_graph(tip_to_root=True))
t-\-\ i
| | * h
| * | g
>>> n.g.extend([n.e, n.f])
>>> n.h.extend([n.c, n.g])
>>> g = Graph([n.a,n.b,n.c,n.d,n.e,n.f,n.g,n.h])
- >>> print g.ascii_graph(tip_to_root=True)
+ >>> print(g.ascii_graph(tip_to_root=True))
t-\ h
| *-\ g
| | *-\ f
... nx = getattr(n, char)
... n.i.append(nx)
>>> g = Graph([n.a,n.b,n.c,n.d,n.e,n.f,n.g,n.h,n.i])
- >>> print g.ascii_graph(tip_to_root=True)
+ >>> print(g.ascii_graph(tip_to_root=True))
t-\-\-\-\-\-\-\ i
| | | | | | | r h
| | | | | | r g
... nx = getattr(n, char)
... nx.append(n.a)
>>> g = Graph([n.a,n.b,n.c,n.d,n.e,n.f,n.g,n.h,n.i])
- >>> print g.ascii_graph(tip_to_root=True)
+ >>> print(g.ascii_graph(tip_to_root=True))
t i
| t h
| | t g
>>> n.h.extend([n.a, n.c, n.d, n.g])
>>> n.i.extend([n.a, n.b, n.c, n.g])
>>> g = Graph([n.a,n.b,n.c,n.d,n.e,n.f,n.g,n.h,n.i])
- >>> print g.ascii_graph(tip_to_root=True)
+ >>> print(g.ascii_graph(tip_to_root=True))
t-\-\-\ i
| | | | t-\-\-\ h
| | | *-|-|-|-<-\ g