Python 使用connectionStyle从networkx绘制的多有向图边

是否可以在相同的节点上使用不同的曲率绘制不同的边

我编写了以下代码，但三条边都重叠了：

import networkx as nx
import matplotlib.pyplot as plt

G = nx.MultiDiGraph()
G.add_node('n1')
G.add_node('n2')
G.add_edge('n1', 'n2', 0)
G.add_edge('n1', 'n2', 1)
G.add_edge('n1', 'n2', 2)

pos = nx.spring_layout(G)
nx.draw(G, pos, with_labels=True, connectionstyle='arc3, rad = 0.3')

plt.show()

---

这可以通过使用不同的

rad

参数绘制每条边来完成-如图所示。请注意，我在这里使用的方法是f-strings，它需要Python3.6——在下面，您必须使用不同的方法构建字符串

代码：

import networkx as nx
import matplotlib.pyplot as plt

G = nx.MultiDiGraph()
G.add_node('n1')
G.add_node('n2')
G.add_edge('n1', 'n2', rad=0.1)
G.add_edge('n1', 'n2', rad=0.2)
G.add_edge('n1', 'n2', rad=0.3)

plt.figure(figsize=(6,6))

pos = nx.spring_layout(G)
nx.draw_networkx_nodes(G, pos)
nx.draw_networkx_labels(G, pos)

for edge in G.edges(data=True):
    nx.draw_networkx_edges(G, pos, edgelist=[(edge[0],edge[1])], connectionstyle=f'arc3, rad = {edge[2]["rad"]}')

plt.show()

import networkx as nx
import matplotlib.pyplot as plt

def new_add_edge(G, a, b):
    if (a, b) in G.edges:
        max_rad = max(x[2]['rad'] for x in G.edges(data=True) if sorted(x[:2]) == sorted([a,b]))
    else:
        max_rad = 0
    G.add_edge(a, b, rad=max_rad+0.1)

G = nx.MultiDiGraph()
G.add_node('n1')
G.add_node('n2')

for i in range(5):
    new_add_edge(G, 'n1', 'n2')

for i in range(5):
    new_add_edge(G, 'n2', 'n1')

plt.figure(figsize=(6,6))

pos = nx.spring_layout(G)
nx.draw_networkx_nodes(G, pos)
nx.draw_networkx_labels(G, pos)

for edge in G.edges(data=True):
    nx.draw_networkx_edges(G, pos, edgelist=[(edge[0],edge[1])], connectionstyle=f'arc3, rad = {edge[2]["rad"]}')

plt.show()

输出：

import networkx as nx
import matplotlib.pyplot as plt

G = nx.MultiDiGraph()
G.add_node('n1')
G.add_node('n2')
G.add_edge('n1', 'n2', rad=0.1)
G.add_edge('n1', 'n2', rad=0.2)
G.add_edge('n1', 'n2', rad=0.3)

plt.figure(figsize=(6,6))

pos = nx.spring_layout(G)
nx.draw_networkx_nodes(G, pos)
nx.draw_networkx_labels(G, pos)

for edge in G.edges(data=True):
    nx.draw_networkx_edges(G, pos, edgelist=[(edge[0],edge[1])], connectionstyle=f'arc3, rad = {edge[2]["rad"]}')

plt.show()

import networkx as nx
import matplotlib.pyplot as plt

def new_add_edge(G, a, b):
    if (a, b) in G.edges:
        max_rad = max(x[2]['rad'] for x in G.edges(data=True) if sorted(x[:2]) == sorted([a,b]))
    else:
        max_rad = 0
    G.add_edge(a, b, rad=max_rad+0.1)

G = nx.MultiDiGraph()
G.add_node('n1')
G.add_node('n2')

for i in range(5):
    new_add_edge(G, 'n1', 'n2')

for i in range(5):
    new_add_edge(G, 'n2', 'n1')

plt.figure(figsize=(6,6))

pos = nx.spring_layout(G)
nx.draw_networkx_nodes(G, pos)
nx.draw_networkx_labels(G, pos)

for edge in G.edges(data=True):
    nx.draw_networkx_edges(G, pos, edgelist=[(edge[0],edge[1])], connectionstyle=f'arc3, rad = {edge[2]["rad"]}')

plt.show()

我们甚至可以为我们创建一个新函数：

import networkx as nx
import matplotlib.pyplot as plt

G = nx.MultiDiGraph()
G.add_node('n1')
G.add_node('n2')
G.add_edge('n1', 'n2', rad=0.1)
G.add_edge('n1', 'n2', rad=0.2)
G.add_edge('n1', 'n2', rad=0.3)

plt.figure(figsize=(6,6))

pos = nx.spring_layout(G)
nx.draw_networkx_nodes(G, pos)
nx.draw_networkx_labels(G, pos)

for edge in G.edges(data=True):
    nx.draw_networkx_edges(G, pos, edgelist=[(edge[0],edge[1])], connectionstyle=f'arc3, rad = {edge[2]["rad"]}')

plt.show()

import networkx as nx
import matplotlib.pyplot as plt

def new_add_edge(G, a, b):
    if (a, b) in G.edges:
        max_rad = max(x[2]['rad'] for x in G.edges(data=True) if sorted(x[:2]) == sorted([a,b]))
    else:
        max_rad = 0
    G.add_edge(a, b, rad=max_rad+0.1)

G = nx.MultiDiGraph()
G.add_node('n1')
G.add_node('n2')

for i in range(5):
    new_add_edge(G, 'n1', 'n2')

for i in range(5):
    new_add_edge(G, 'n2', 'n1')

plt.figure(figsize=(6,6))

pos = nx.spring_layout(G)
nx.draw_networkx_nodes(G, pos)
nx.draw_networkx_labels(G, pos)

for edge in G.edges(data=True):
    nx.draw_networkx_edges(G, pos, edgelist=[(edge[0],edge[1])], connectionstyle=f'arc3, rad = {edge[2]["rad"]}')

plt.show()

输出：

import networkx as nx
import matplotlib.pyplot as plt

G = nx.MultiDiGraph()
G.add_node('n1')
G.add_node('n2')
G.add_edge('n1', 'n2', rad=0.1)
G.add_edge('n1', 'n2', rad=0.2)
G.add_edge('n1', 'n2', rad=0.3)

plt.figure(figsize=(6,6))

pos = nx.spring_layout(G)
nx.draw_networkx_nodes(G, pos)
nx.draw_networkx_labels(G, pos)

for edge in G.edges(data=True):
    nx.draw_networkx_edges(G, pos, edgelist=[(edge[0],edge[1])], connectionstyle=f'arc3, rad = {edge[2]["rad"]}')

plt.show()

import networkx as nx
import matplotlib.pyplot as plt

def new_add_edge(G, a, b):
    if (a, b) in G.edges:
        max_rad = max(x[2]['rad'] for x in G.edges(data=True) if sorted(x[:2]) == sorted([a,b]))
    else:
        max_rad = 0
    G.add_edge(a, b, rad=max_rad+0.1)

G = nx.MultiDiGraph()
G.add_node('n1')
G.add_node('n2')

for i in range(5):
    new_add_edge(G, 'n1', 'n2')

for i in range(5):
    new_add_edge(G, 'n2', 'n1')

plt.figure(figsize=(6,6))

pos = nx.spring_layout(G)
nx.draw_networkx_nodes(G, pos)
nx.draw_networkx_labels(G, pos)

for edge in G.edges(data=True):
    nx.draw_networkx_edges(G, pos, edgelist=[(edge[0],edge[1])], connectionstyle=f'arc3, rad = {edge[2]["rad"]}')

plt.show()

---

这太棒了！工作起来很有魅力！在这个例子中，我们怎么能有边缘标签呢？我的问题与@MichelGokanKhan相同。如何添加边标签。