python - NetworkX 多重图不显示标签

Question

我正在尝试使用 Python 绘制知识图，查看了许多示例和答案，但仍然无法从边缘列表中自动绘制边缘标签。这是我正在尝试做的一个简化的工作示例：

import pandas as pd
import networkx as nx
minidf = pd.DataFrame(data={'relation': ['subject', 'subject', 'broader'], 
                       'source': ['pmt3423', 'pmt2040', 'category:myoblasts'], 
                       'target': ['conceito', 'frio', 'category:non-terminally_differentiated_(blast)']})
miniG = nx.from_pandas_edgelist(minidf,'source', 'target',
                      edge_key='relation', create_using=nx.MultiDiGraph())
nx.draw_networkx(miniG, with_labels=True)

我得到的输出如下：

我也尝试过 draw_circular 和其他人。我也尝试过使用 pyvis 并生成一个点文件 + 使用neato. 还没有完全明白。任何帮助表示赞赏。

Answer 1

以下是向图形添加边缘标签的方法：

import pandas as pd
import networkx as nx
from matplotlib import pyplot as plt

minidf = pd.DataFrame(data = {'relation': ['subject', 'subject', 'broader'],
                       'source': ['pmt3423', 'pmt2040', 'category:myoblasts'],
                       'target': ['conceito', 'frio', 'category:non-terminally_differentiated_(blast)']})

miniG = nx.from_pandas_edgelist(minidf,'source', 'target', create_using=nx.MultiDiGraph())

pos = nx.spring_layout(miniG)
e_labels = {(minidf.source[i], minidf.target[i]):minidf.relation[i]
          for i in range(len(minidf['relation']))}

nx.draw_networkx_edge_labels(miniG, pos, edge_labels= e_labels)
nx.draw(miniG, pos = pos,with_labels=True)
plt.show()

但是，正如您在上面看到的，这可能会很混乱，因为图表中没有太多空间用于边缘标签。更好的解决方案是对边缘进行颜色编码并提供图例：

import pandas as pd
import networkx as nx
from matplotlib import pyplot as plt

minidf = pd.DataFrame(data = {'relation': ['subject', 'subject', 'broader'],
                       'source': ['pmt3423', 'pmt2040', 'category:myoblasts'],
                       'target': ['conceito', 'frio', 'category:non-terminally_differentiated_(blast)']})

miniG = nx.from_pandas_edgelist(minidf,'source', 'target', create_using=nx.MultiDiGraph())

#color-code the edges
color_code = {'subject':'red', 'broader':'lime'}
edge_color_list = [color_code[rel] for rel in minidf.relation]
nx.draw(miniG, with_labels= True, edge_color= edge_color_list)

#create a color-coded legend
leg = plt.legend(color_code,labelcolor=color_code.values())
for i, item in enumerate(leg.legendHandles):
    item.set_color(list(color_code.values())[i])

plt.show()