문제 설명
Python에서 레이블이 지정된 병렬 모서리/꼭짓점을 사용하여 방향 그래프 생성 (Generating Directed Graph With Parallel Labelled Edges/Vertices in Python)
아래 이미지와 같이 Python에서 병렬 레이블이 지정된 가장자리/꼭짓점이 있는 방향 그래프를 생성하는 가장 좋은 방법은 무엇입니까?
이미 networkx를 시도했지만 병렬 가장자리에서는 작동하지 않습니다. .
그래프에 대한 데이터를 생성하는 데 사용하는 코드입니다.
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
참조 솔루션
방법 1:
You can use the dataframe to read the edges directly into a NetworkX graph using from_pandas_adjacency. In order to do that, lets set the index of the dataframe equal to chosen_currencies, to ensure that the edges are mapped correctly.
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
Now set the index
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
Now let's create the graph
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()
Note: The number near the arrowhead is the edge weight.
You can also view this Google Colab Notebook with above working example.
You can adjust the font size, label position, etc. according to your requirements.
References:
(by Matheus Torquato、Gambit1614)