blob: 1f3cde67c75e2ab718a53f70e4381cfdc5a65ab2 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
|
from ete3 import Tree
t = Tree() # Creates an empty tree
A = t.add_child(name="A") # Adds a new child to the current tree root
# and returns it
B = t.add_child(name="B") # Adds a second child to the current tree
# root and returns it
C = A.add_child(name="C") # Adds a new child to one of the branches
D = C.add_sister(name="D") # Adds a second child to same branch as
# before, but using a sister as the starting
# point
R = A.add_child(name="R") # Adds a third child to the
# branch. Multifurcations are supported
# Next, I add 6 random leaves to the R branch names_library is an
# optional argument. If no names are provided, they will be generated
# randomly.
R.populate(6, names_library=["r1","r2","r3","r4","r5","r6"])
# Prints the tree topology
print t
# /-C
# |
# |--D
# |
# /--------| /-r4
# | | /--------|
# | | /--------| \-r3
# | | | |
# | | | \-r5
# | \--------|
# ---------| | /-r6
# | | /--------|
# | \--------| \-r2
# | |
# | \-r1
# |
# \-B
# a common use of the populate method is to quickly create example
# trees from scratch. Here we create a random tree with 100 leaves.
t = Tree()
t.populate(100)
|
