021年美赛D题，使用有向图，使用Python进行绘制时，遇到两个好网站
[python] 基于NetworkX实现网络图的绘制
Python Network（二）绘图draw系列draw()，draw_networkx()，draw_networkx_nodes()，draw_networkx_edges()
两个网站需要搭配着看
我依据网站写的代码
## 标签 Labels # libraries import pandas as pd import numpy as np import networkx as nx import matplotlib.pyplot as plt # import xlrd # worksheet = xlrd.open_workbook("influence_data.xlsx") # sheet_names= worksheet.sheet_names() # print(sheet_names) # for sheet_name in sheet_names: # sheet = worksheet.sheet_by_name(sheet_name) # rows = sheet.nrows # 获取行数 # cols = sheet.ncols # 获取列数，尽管没用到 # all_content = [] # cols = sheet.col_values(3) # 获取第二列内容， 数据格式为此数据的原有格式（原：字符串，读取：字符串； 原：浮点数， 读取：浮点数） # print(cols) # print(cols[3]) # print(type(cols[3])) #查看数据类型 # Build a dataframe with your connections # str_1 = ['The Beatles'] * 533 # str_2 = ['The Rolling Stones'] * 295 # str_3 = ['Deep Purple'] * 94 # str_4 = ['Alice in Chains'] * 44 # str_5 = ['Barenaked Ladies'] * 15 str_1 = ['The Beatles'] * 7 str_2 = ['The Rolling Stones'] * 5 str_3 = ['Deep Purple'] * 3 str_4 = ['Alice in Chains'] *2 str_5 = ['Barenaked Ladies'] * 1 str = str_1 + str_2 +str_3 + str_4 + str_5 print(len(str)) List_1 = ['Carpenters','Chicago','Joe Cocker','Deep Purple','Neil Young','Donovan','Devo'] List_2 = ['Neil Young','Terry Reid','Joe Cocker','Blondie','Kaleo'] List_3 = ['Budgie','Neil Young','Krokus'] List_4 = ['Devo','Kyuss'] List_5 = ['Terry Reid'] llt_a = List_1 + List_2 + List_3 + List_4 + List_5 print(len(llt_a)) df = pd.DataFrame({ 'from':llt_a, 'to':str}) df # Build your graph G=nx.from_pandas_edgelist(df, 'from', 'to',create_using=nx.DiGraph()) # Custom the edges: # font_size标签字体大小，font_color标签字体颜色,font_weight字体形式 nx.draw(G, with_labels=True, node_size=300, font_size=10, font_color="black", font_weight="bold",pos=nx.circular_layout(G)) plt.show()
