使用图形的对象图

Question

我正在尝试使用库图形工具来创建一个新的对象图形。我特别想要一些学生节点和其他教授节点

在我编写的以下代码中，我无法添加学生/教授的顶点

文档https://graph-tool.skewed.de/static/doc/quickstart.html#property-maps解释了我必须使用类PropertyMap，这对我来说很奇怪

有人能给我解释一下怎么用吗？谢谢

这是我的密码：

from graph_tool.all import *

class Student:
  def __init__(self, name):
    self.name = name

class Professor:
    def __init__(self, name):
         self.name = name

g = Graph()
s = Student("Luke")
p = Professor("Adam")
print(s.name)
print(p.name)

Answer 1

首先你需要把顶点添加到图中

# your code
# from graph_tool.all import *  # avoid importing all, it makes it inclear what you are using afterwards
import  graph_tool as gt

class Student:
  def __init__(self, name):
    self.name = name

class Professor:
    def __init__(self, name):
         self.name = name

g = gt.Graph()
s = Student("Luke")
p = Professor("Adam")
print(s.name)
print(p.name)

Luke
Adam

为用户类型创建属性映射

g.vertex_properties['user_type'] = g.new_vertex_property('string')

这将是节点的属性。您可以创建所需数量，然后设置其用户类型 例如：

# creating a graph of 3 users
g.add_vertex(3)

# Let's set the first vertex as a professor
g.vp['user_type'][g.vertex(0)] = 'professor'

# and the subsequent as students
for v in g.get_vertices()[1:]:
    g.vp['user_type'][v] = 'student'

# let's add an edge from the professor to the first student
g.add_edge(g.vertex(0), g.vertex(1))

<Edge object with source '0' and target '1' at 0x7f2c30370c30>

现在可以使用属性绘制图形

def translate_elts_to_gtshape(g, source_prop='user_type', tdict=None):
    """This function adds a new property map called 'shape' to graph g.  It is populated by translating the source_prop with the tdict (translation dictionary) which should map source_property entries to shapes"""
    if tdict is None:
        tdict = {'professor': 'square',
                 'student': 'circle'}

    # source_property map array.  It's of string type so we use get_2d_array
    svp = g.vp[source_prop].get_2d_array([0])[0]
    for k, v in tdict.items():
        # for each key, value pair of tdict we change the source value (ie k) to the shape (v)
        svp[svp == k] = v

    # and now we create the new property shape
    g.vertex_properties['shape'] = g.new_vertex_property('string')
    for v, p in zip(g.vertices(), svp):
        # and copy in it the shape
        g.vp['shape'][v] = p

    # we return the new property created, although it is already added to the graph as an internal property
    return g.vp['shape']

translate_elts_to_gtshape(g)

<PropertyMap object with key type 'Vertex' and value type 'string', for Graph 0x7f2c5c3d6510, at 0x7f2c2997c950>

# let's just check what we have in our newly created shape property
[g.vp['shape'][v] for v in g.vertices()]

['square', 'circle', 'circle']

# and now let's use it to draw our graph
import graph_tool.draw as gtd

pos = gtd.sfdp_layout(g)
gtd.graph_draw(g, pos=pos,
               output_size = (300, 300),
               output_file = 'mynetwork.png',   # where your file goes
               vertex_shape=g.vp['shape'],
               vertex_text=g.vertex_index)

<PropertyMap object with key type 'Vertex' and value type 'vector<double>', for Graph 0x7f2c5c3d6510, at 0x7f2c14291590>