Networkx：使用位置在節點上方提升標簽

Question

我對 networkx 很陌生（今天才開始！）：我正在使用這兩個鏈接並復制：

這是用於創建網絡

這是我嘗試調整標簽位置的方式

所以我的看起來像這樣：

layout = nx.spring_layout(g,k=0.2,iterations=50)
for l in layout:  # raise text positions
    layout[l][1] += 0.5

我將 0.5 調整為更小甚至更大的值，但沒有任何反應，沒有調整。 根本沒有變化。 我究竟做錯了什么？

兩個代碼組合起來如下所示：

import matplotlib.pyplot as plt
import pandas as pd
import networkx as nx
import os

plt.figure(figsize=(12, 12))

df = pd.read_csv(df_path)

# 1. Create the graph
g = nx.from_pandas_edgelist(df, source='name', target='club') 
# 2. Create a layout for our nodes 
layout = nx.spring_layout(g,k=0.2,iterations=50)
for l in layout:  # raise text positions
    layout[l][1] += 0.5
# 3. Draw the parts we want
nx.draw_networkx_edges(g, layout, edge_color='#AAAAAA')

clubs = [node for node in g.nodes() if node in df.club.unique()]
size = [g.degree(node) * 80 for node in g.nodes() if node in df.club.unique()]
nx.draw_networkx_nodes(g, layout, nodelist=clubs, node_size=size, node_color='lightblue')

people = [node for node in g.nodes() if node in df.name.unique()]
nx.draw_networkx_nodes(g, layout, nodelist=people, node_size=100, node_color='#AAAAAA')

high_degree_people = [node for node in g.nodes() if node in df.name.unique() and g.degree(node) > 1]
nx.draw_networkx_nodes(g, layout, nodelist=high_degree_people, node_size=100, node_color='#fc8d62')

club_dict = dict(zip(clubs, clubs))
nx.draw_networkx_labels(g, layout, labels=club_dict)

# 4. Turn off the axis because I know you don't want it
plt.axis('off')

plt.title("Revolutionary Clubs")

非常感謝您提前！

順便提一下，有人有關於 networkx 的很棒的教程嗎？ 我一直在谷歌搜索，我沒有找到太多。 如果您知道展示如何構建交互式網絡的 networkx 教程，那就更好了！

Answer 1

您首先需要繪制圖形，然后添加值（或為標簽的位置創建第二個變量）。 如果你再次閱讀定位標簽的代碼，你會看到他們首先繪制圖形，然后修改布局並繪制標簽。

您的代碼只是移動所有內容，即沿 y 軸的標簽和邊緣。 我已經更正了代碼中調整的位置：

import matplotlib.pyplot as plt
import pandas as pd
import networkx as nx
import os

plt.figure(figsize=(12, 12))

df = pd.read_csv(df_path)

# 1. Create the graph
g = nx.from_pandas_edgelist(df, source='name', target='club') 
# 2. Create a layout for our nodes 
layout = nx.spring_layout(g,k=0.2,iterations=50)
#
# ----- removed correction
#

# 3. Draw the parts we want
nx.draw_networkx_edges(g, layout, edge_color='#AAAAAA')

clubs = [node for node in g.nodes() if node in df.club.unique()]
size = [g.degree(node) * 80 for node in g.nodes() if node in df.club.unique()]
nx.draw_networkx_nodes(g, layout, nodelist=clubs, node_size=size, node_color='lightblue')

people = [node for node in g.nodes() if node in df.name.unique()]
nx.draw_networkx_nodes(g, layout, nodelist=people, node_size=100, node_color='#AAAAAA')

high_degree_people = [node for node in g.nodes() if node in df.name.unique() and g.degree(node) > 1]
nx.draw_networkx_nodes(g, layout, nodelist=high_degree_people, node_size=100, node_color='#fc8d62')

club_dict = dict(zip(clubs, clubs))

# ------> and move it here
for l in layout:  # raise text positions
    layout[l][1] += 0.1  # probably small value enough
nx.draw_networkx_labels(g, layout, labels=club_dict)

# 4. Turn off the axis because I know you don't want it
plt.axis('off')

plt.title("Revolutionary Clubs")