医药效果的药品作用分析

╰半夏微凉° 2021-11-18 01:31 199阅读 0赞

为了将药品之间的效果和疗效进行展示，使用了网络相关图形。数据如下所示：  
![在这里插入图片描述][20190731141637801.png]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3RhbmRlbGlu_size_16_color_FFFFFF_t_70]

### 程序如下 ###

import matplotlib.pyplot as plt
    import networkx as nx
    from pylab import *
    mpl.rcParams['font.sans-serif'] = ['SimHei']
    G = nx.Graph()
    G.add_edge('抗凝药', '维生素K', weight=1)
    G.add_edge('抗凝药', '降糖下降', weight=1)
    G.add_edge('降糖下降', '抗凝下降', weight=1)
    G.add_edge('降糖下降', '降糖药', weight=1)
    G.add_edge('降糖下降', '糖皮质激素', weight=1)
    G.add_edge('抗凝药', '抗凝下降', weight=1)
    elarge = [(u, v) for (u, v, d) in G.edges(data=True) if d['weight'] > 0.5]
    esmall = [(u, v) for (u, v, d) in G.edges(data=True) if d['weight'] <= 0.5]
    pos = nx.spring_layout(G)  # positions for all nodes
    # nodes
    nx.draw_networkx_nodes(G, pos, node_size=700)
    # edges
    nx.draw_networkx_edges(G, pos, edgelist=elarge,
                           width=6)
    nx.draw_networkx_edges(G, pos, edgelist=esmall,
                           width=6, alpha=0.5, edge_color='b', style='dashed')
    # labels
    nx.draw_networkx_labels(G, pos, font_size=20, font_family='sans-serif')
    plt.axis('off')
    plt.show()

[20190731141637801.png]: /images/20211116/20cabf66b9ef42d6be9ceadf1b5b053f.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3RhbmRlbGlu_size_16_color_FFFFFF_t_70]: /images/20211116/1700ab9b92a84a2a9253a07d20444095.png