python 读取txt文件关联规则 画出关联规则箭头图

首先，你需要安装一些 Python 模块，比如 pandas 和 networkx，然后按照以下步骤进行操作：

1. 读取 txt 文件并将其转换为 pandas DataFrame

import pandas as pd

data = pd.read_csv('data.txt', delimiter='\t', header=None)

2. 将 DataFrame 转换为关联规则字典

rules = {}
for i in range(len(data)):
    lhs = frozenset([data.iloc[i, 0]])
    rhs = frozenset([data.iloc[i, 1]])
    support = data.iloc[i, 2]
    confidence = data.iloc[i, 3]
    lift = data.iloc[i, 4]
    rules[(lhs, rhs)] = (support, confidence, lift)

3. 创建关联规则图

import networkx as nx
import matplotlib.pyplot as plt

G = nx.DiGraph()

for rule, stats in rules.items():
    lhs, rhs = rule
    support, confidence, lift = stats
    G.add_edge(list(lhs)[0], list(rhs)[0], weight=lift)

pos = nx.spring_layout(G)
nx.draw_networkx_nodes(G, pos)
nx.draw_networkx_labels(G, pos)
edges = G.edges()
weights = [G[u][v]['weight'] for u, v in edges]
nx.draw_networkx_edges(G, pos, edgelist=edges, edge_color=weights, edge_cmap=plt.cm.Blues)

plt.axis('off')
plt.show()

这样就可以画出关联规则的箭头图了。注意，关联规则的箭头图可能会比较复杂，因此可能需要对其进行布局和调整。