IMP
2.1.0
The Integrative Modeling Platform
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graph.py
1
## \example kernel/graph.py
2
# A simple example showing how to use the graph interface for in python.
3
4
import
IMP
5
6
m =
IMP.kernel.Model
()
7
# An undirected graph with an IMP::Object for each node
8
g =
IMP.DependencyGraph
()
9
vs = []
10
ps = []
11
for
i
in
range(0, 10):
12
ps.append(
IMP.kernel.Particle
(m))
13
vs.append(g.add_vertex(ps[-1]))
14
g.add_edge(vs[0], vs[1])
15
g.add_edge(vs[1], vs[2])
16
17
# try to use the altgraph package to visualize
18
IMP.show_graphviz(g)
19
try
:
20
IMP.show_graphviz(g)
21
except
:
22
print
"Oh well, no altgraph"
23
24
try
:
25
import
matplotlib
26
# the engine to be used must be selected before pyplot is imported
27
matplotlib.use(
"macosx"
)
28
import
matplotlib.pyplot
as
plt
29
30
# the method below requires the altgraph python package
31
xg = IMP.get_networkx_graph(g)
32
33
# the networkx visualization tools suck, so skip them
34
#import networkx
35
# networkx.draw(xg)
36
# networkx.draw_shell(xg)
37
# plt.show()
38
except
:
39
print
"networkx not fully installed"
40
41
g.remove_vertex(0)
42
43
# we can also try another show method
44
try
:
45
IMP.show_graphviz(g)
46
except
:
47
print
"oh well, something not working with graphviz"
48
49
# finally, we can
50
# in and out neighbors are the same
51
for
n
in
g.get_in_neighbors(8):
52
print
g.get_vertex_name(n).get_name()
IMP::kernel::Particle
Class to handle individual model particles.
Definition:
kernel/declare_Particle.h:34
IMP::DependencyGraph
IMP::kernel::DependencyGraph DependencyGraph
Definition:
kernel/doxygen.h:37
IMP::kernel::Model
Class for storing model, its restraints, constraints, and particles.
Definition:
kernel/declare_Model.h:72