在 Python 中生成具有并行标记边/顶点的有向图(如下图所示)的最佳方法是什么?
我已经尝试过networkx,但它不适用于平行边缘。
这是我用来生成图表数据的代码。
from forex_python.converter import CurrencyRates
import pandas as pd
chosen_currencies = ['GBP', 'EUR', 'USD']
c = CurrencyRates()
rates = []
for currency_index in range(len(chosen_currencies)):
temp_list = []
for second_index in range(len(chosen_currencies)):
temp_list.append(c.get_rate(chosen_currencies[currency_index], chosen_currencies[second_index]))
rates.append(temp_list)
df = (pd.DataFrame.from_records(rates)).transpose()
df.columns = chosen_currencies
最佳答案
您可以使用数据帧将边直接读入 NetworkX 图,使用 from_pandas_adjacency 。为此,我们将dataframe
的索引设置为chosen_currencies
,以确保边缘正确映射。
from forex_python.converter import CurrencyRates
import pandas as pd
chosen_currencies = ['GBP', 'EUR', 'USD']
c = CurrencyRates()
rates = []
for currency_index in range(len(chosen_currencies)):
temp_list = []
for second_index in range(len(chosen_currencies)):
temp_list.append(c.get_rate(chosen_currencies[currency_index], chosen_currencies[second_index]))
rates.append(temp_list)
df = (pd.DataFrame.from_records(rates)).transpose()
df.columns = chosen_currencies
# GBP EUR USD
#0 1.000000 0.83238 0.768233
#1 1.201374 1.00000 0.922935
#2 1.301689 1.08350 1.000000
现在设置索引
df.set_index([pd.Index(chosen_currencies)], inplace=True)
# GBP EUR USD
#GBP 1.000000 0.83238 0.768233
#EUR 1.201374 1.00000 0.922935
#USD 1.301689 1.08350 1.000000
现在让我们创建图表
import networkx as nx
import matplotlib.pyplot as plt
G = nx.from_pandas_adjacency(df, create_using=nx.DiGraph)
# Set the figure size
plt.figure(figsize=(8,8))
# Get the edge labels and round them to 3 decimal places
# for more clarity while drawing
edge_labels = dict([((u,v), round(d['weight'], 3))
for u,v,d in G.edges(data=True)])
# Get the layout
pos = nx.spring_layout(G)
# Draw edge labels and graph
nx.draw_networkx_edge_labels(G,pos,edge_labels=edge_labels,
label_pos=0.15, font_size=10)
nx.draw(G, pos, with_labels=True,
connectionstyle='arc3, rad = 0.15',
node_size=800)
plt.show()
注意:箭头附近的数字是边权重。
您还可以查看this Google Colab Notebook与上面的工作示例。
您可以根据需要调整字体大小、标签位置等。
引用文献:
关于python - 在 Python 中生成具有并行标记边/顶点的有向图,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/60262159/