소스코드

+#-*-encoding utf-8 -*-
+import matplotlib.pyplot as plt
+import networkx as nx
+from openpyxl import load_workbook
+
+
+movie_director_list = []
+movie_audience_list = []
+movie_edge_list = []
+movie_graph_list = []
+movie_check_list = []
+max_audience=-1
+load_wb = load_workbook("Movie_data/movie_top500.xlsx", data_only=True)
+load_ws = load_wb['Sheet1']
+
+
+def make_edge(movielist):
+    edge_list = []
+    for i in range(0,len(movielist)):
+            for j in range(0, len(movielist)):
+                if i == j:
+                    break
+                else:
+                    edge_list.append((movielist[i],movielist[j]))
+    return edge_list
+
+
+
+for i in range(7,507,1):
+    distributor_name='L'+str(i)
+    director_name='K'+str(i)
+    name3=(str(load_ws[distributor_name].value) +','+ str(load_ws[director_name].value)).split(',')
+    movie_audience_list.append(int(load_ws['F'+str(i)].value))
+    movie_director_list.append(name3)
+
+
+
+
+for i in range(0, 500):
+    if movie_director_list[i] in movie_check_list:
+       movie_audience_list[i]=movie_audience_list[i]+movie_audience_list[movie_check_list.index(movie_director_list[i])]
+       movie_audience_list[movie_check_list.index(movie_director_list[i])]=movie_audience_list[i]
+       movie_check_list.append(movie_director_list[i])
+    else:
+        movie_check_list.append(movie_director_list[i])
+    if movie_audience_list[i] > max_audience:
+        max_audience=movie_audience_list[i]
+        
+
+for i in range(0, 500):
+    movie_graph = nx.Graph()
+    movie_edge = make_edge(movie_director_list[i])    
+    movie_edge_list.append(movie_edge)
+    movie_graph.add_nodes_from(movie_director_list[i])
+    movie_graph.add_edges_from(movie_edge_list[i], weight = 1-(movie_audience_list[i]/(max_audience+1)))
+    movie_graph_list.append(movie_graph)
+
+
+movie_total = nx.Graph()
+
+for i in range(0,500):
+    movie_total = nx.compose(movie_total, movie_graph_list[i])
+
+degree = movie_total.degree()
+nx.write_gexf(movie_total, "Gephi/[betweenness]all_annual_distributor.gexf")
+
+
+
+
+plt.figure(figsize=(20,20))
+pos = nx.spring_layout(movie_total, iterations = 10)
+nx.draw(movie_total, pos, alpha = 1, line_color= 'black', linewidths = 0, width = 0.05 ,node_size = 100, node_color = 'w', with_labels = True, font_family='NanumGothic', font_color='black', font_size=8)
+plt.show()
+
+

+#-*-encoding utf-8 -*-
+import matplotlib.pyplot as plt
+import networkx as nx
+from openpyxl import load_workbook
+
+
+movie_genre_list = []
+movie_audience_list = []
+movie_edge_list = []
+movie_graph_list = []
+movie_check_list = []
+max_audience=-1
+load_wb = load_workbook("Movie_data/movie_top500.xlsx", data_only=True)
+load_ws = load_wb['Sheet1']
+
+
+def make_edge(movielist):
+    edge_list = []
+    for i in range(0,len(movielist)):
+            for j in range(0, len(movielist)):
+                if i == j:
+                    break
+                else:
+                    edge_list.append((movielist[i],movielist[j]))
+    return edge_list
+
+
+
+
+
+for i in range(7,507,1):
+    distributor_name='L'+str(i)
+    genre_name='M'+str(i)
+    name3=(str(load_ws[distributor_name].value) +','+ str(load_ws[genre_name].value)).split(',')
+    movie_audience_list.append(int(load_ws['F'+str(i)].value))
+    movie_genre_list.append(name3)
+
+
+for i in range(0, 500):
+    if movie_genre_list[i] in movie_check_list:
+       movie_audience_list[i]=movie_audience_list[i]+movie_audience_list[movie_check_list.index(movie_genre_list[i])]
+       movie_audience_list[movie_check_list.index(movie_genre_list[i])]=movie_audience_list[i]
+       movie_check_list.append(movie_genre_list[i])
+    else:
+        movie_check_list.append(movie_genre_list[i])
+    if movie_audience_list[i] > max_audience:
+        max_audience=movie_audience_list[i]
+        
+
+for i in range(0, 500):
+    movie_graph = nx.Graph()
+    movie_edge = make_edge(movie_genre_list[i])    
+    movie_edge_list.append(movie_edge)
+    movie_graph.add_nodes_from(movie_genre_list[i])
+    movie_graph.add_edges_from(movie_edge_list[i], weight = 1-(movie_audience_list[i]/(max_audience+1)))
+    movie_graph_list.append(movie_graph)
+
+
+movie_total = nx.Graph()
+
+for i in range(0,500):
+    movie_total = nx.compose(movie_total, movie_graph_list[i])
+
+degree = movie_total.degree()
+nx.write_gexf(movie_total, "Gephi/[betweenness]all_annual_genre.gexf")
+
+
+
+
+plt.figure(figsize=(20,20))
+pos = nx.spring_layout(movie_total, iterations = 10)
+nx.draw(movie_total, pos, alpha = 1, line_color= 'black', linewidths = 0, width = 0.05 ,node_size = 100, node_color = 'w', with_labels = True, font_family='NanumGothic', font_color='black', font_size=8)
+plt.show()
+
+

+#-*-encoding utf-8 -*-
+import matplotlib.pyplot as plt
+import networkx as nx
+from openpyxl import load_workbook
+
+
+movie_director_list = []
+movie_audience_list = []
+movie_edge_list = []
+movie_graph_list = []
+movie_check_list = []
+max_audience=-1
+load_wb = load_workbook("Movie_data/movie_top500.xlsx", data_only=True)
+load_ws = load_wb['Sheet1']
+
+
+def make_edge(movielist):
+    edge_list = []
+    for i in range(0,len(movielist)):
+            for j in range(0, len(movielist)):
+                if i == j:
+                    break
+                else:
+                    edge_list.append((movielist[i],movielist[j]))
+    return edge_list
+
+movie_year=input("영화의 개봉연도 4자리를 입력해주세요: ")
+range_count=0
+
+
+
+for i in range(7,507,1):
+    movie_year_check=str(load_ws['C'+str(i)].value)
+    distributor_name='L'+str(i)
+    director_name='K'+str(i)
+    if movie_year == movie_year_check[:4]:
+        name3=(str(load_ws[distributor_name].value) +','+ str(load_ws[director_name].value)).split(',')
+        movie_audience_list.append(int(load_ws['F'+str(i)].value))
+        movie_director_list.append(name3)
+        range_count+=1
+
+
+
+
+for i in range(0, range_count):
+    if movie_director_list[i] in movie_check_list:
+       movie_audience_list[i]=movie_audience_list[i]+movie_audience_list[movie_check_list.index(movie_director_list[i])]
+       movie_audience_list[movie_check_list.index(movie_director_list[i])]=movie_audience_list[i]
+       movie_check_list.append(movie_director_list[i])
+    else:
+        movie_check_list.append(movie_director_list[i])
+    if movie_audience_list[i] > max_audience:
+        max_audience=movie_audience_list[i]
+        
+
+for i in range(0, range_count):
+    movie_graph = nx.Graph()
+    movie_edge = make_edge(movie_director_list[i])    
+    movie_edge_list.append(movie_edge)
+    movie_graph.add_nodes_from(movie_director_list[i])
+    movie_graph.add_edges_from(movie_edge_list[i], weight = 1-(movie_audience_list[i]/(max_audience+1)))
+    movie_graph_list.append(movie_graph)
+
+
+movie_total = nx.Graph()
+
+for i in range(0,range_count):
+    movie_total = nx.compose(movie_total, movie_graph_list[i])
+
+degree = movie_total.degree()
+nx.write_gexf(movie_total, "Gephi/[betweenness]annual_distributor_"+movie_year+".gexf")
+
+
+
+
+plt.figure(figsize=(20,20))
+pos = nx.spring_layout(movie_total, iterations = 10)
+nx.draw(movie_total, pos, alpha = 1, line_color= 'black', linewidths = 0, width = 0.05 ,node_size = 100, node_color = 'w', with_labels = True, font_family='NanumGothic', font_color='black', font_size=8)
+plt.show()
+
+

+#-*-encoding utf-8 -*-
+import matplotlib.pyplot as plt
+import networkx as nx
+from openpyxl import load_workbook
+
+
+movie_genre_list = []
+movie_audience_list = []
+movie_edge_list = []
+movie_graph_list = []
+movie_check_list = []
+max_audience=-1
+load_wb = load_workbook("Movie_data/movie_top500.xlsx", data_only=True)
+load_ws = load_wb['Sheet1']
+
+
+def make_edge(movielist):
+    edge_list = []
+    for i in range(0,len(movielist)):
+            for j in range(0, len(movielist)):
+                if i == j:
+                    break
+                else:
+                    edge_list.append((movielist[i],movielist[j]))
+    return edge_list
+
+
+movie_year=input("영화의 개봉연도 4자리를 입력해주세요: ")
+range_count=0
+
+
+
+for i in range(7,507,1):
+    movie_year_check=str(load_ws['C'+str(i)].value)
+    distributor_name='L'+str(i)
+    genre_name='M'+str(i)
+    if movie_year == movie_year_check[:4]:
+        name3=(str(load_ws[distributor_name].value) +','+ str(load_ws[genre_name].value)).split(',')
+        movie_audience_list.append(int(load_ws['F'+str(i)].value))
+        movie_genre_list.append(name3)
+        range_count+=1
+
+
+for i in range(0, range_count):
+    if movie_genre_list[i] in movie_check_list:
+       movie_audience_list[i]=movie_audience_list[i]+movie_audience_list[movie_check_list.index(movie_genre_list[i])]
+       movie_audience_list[movie_check_list.index(movie_genre_list[i])]=movie_audience_list[i]
+       movie_check_list.append(movie_genre_list[i])
+    else:
+        movie_check_list.append(movie_genre_list[i])
+    if movie_audience_list[i] > max_audience:
+        max_audience=movie_audience_list[i]
+        
+
+for i in range(0, range_count):
+    movie_graph = nx.Graph()
+    movie_edge = make_edge(movie_genre_list[i])    
+    movie_edge_list.append(movie_edge)
+    movie_graph.add_nodes_from(movie_genre_list[i])
+    movie_graph.add_edges_from(movie_edge_list[i], weight = 1-(movie_audience_list[i]/(max_audience+1)))
+    movie_graph_list.append(movie_graph)
+
+
+movie_total = nx.Graph()
+
+for i in range(0,range_count):
+    movie_total = nx.compose(movie_total, movie_graph_list[i])
+
+degree = movie_total.degree()
+nx.write_gexf(movie_total, "Gephi/[betweenness]annual_genre_"+movie_year+".gexf")
+
+
+
+
+plt.figure(figsize=(20,20))
+pos = nx.spring_layout(movie_total, iterations = 10)
+nx.draw(movie_total, pos, alpha = 1, line_color= 'black', linewidths = 0, width = 0.05 ,node_size = 100, node_color = 'w', with_labels = True, font_family='NanumGothic', font_color='black', font_size=8)
+plt.show()
+
+

+#-*-encoding utf-8 -*-
+import matplotlib.pyplot as plt
+import networkx as nx
+from openpyxl import load_workbook
+
+
+movie_director_list = []
+movie_audience_list = []
+movie_edge_list = []
+movie_graph_list = []
+movie_check_list = []
+max_audience=-1
+load_wb = load_workbook("Movie_data/movie_top500.xlsx", data_only=True)
+load_ws = load_wb['Sheet1']
+
+
+def make_edge(movielist):
+    edge_list = []
+    for i in range(0,len(movielist)):
+            for j in range(0, len(movielist)):
+                if i == j:
+                    break
+                else:
+                    edge_list.append((movielist[i],movielist[j]))
+    return edge_list
+
+
+
+for i in range(7,507,1):
+    distributor_name='L'+str(i)
+    director_name='K'+str(i)
+    name3=(str(load_ws[distributor_name].value) +','+ str(load_ws[director_name].value)).split(',')
+    movie_audience_list.append(int(load_ws['F'+str(i)].value))
+    movie_director_list.append(name3)
+
+
+
+
+for i in range(0, 500):
+    if movie_director_list[i] in movie_check_list:
+       movie_audience_list[i]=movie_audience_list[i]+movie_audience_list[movie_check_list.index(movie_director_list[i])]
+       movie_audience_list[movie_check_list.index(movie_director_list[i])]=movie_audience_list[i]
+       movie_check_list.append(movie_director_list[i])
+    else:
+        movie_check_list.append(movie_director_list[i])
+    if movie_audience_list[i] > max_audience:
+        max_audience=movie_audience_list[i]
+        
+
+for i in range(0, 500):
+    movie_graph = nx.Graph()
+    movie_edge = make_edge(movie_director_list[i])    
+    movie_edge_list.append(movie_edge)
+    movie_graph.add_nodes_from(movie_director_list[i])
+    movie_graph.add_edges_from(movie_edge_list[i], weight = movie_audience_list[i]/(max_audience+1))
+    movie_graph_list.append(movie_graph)
+
+
+movie_total = nx.Graph()
+
+for i in range(0,500):
+    movie_total = nx.compose(movie_total, movie_graph_list[i])
+
+degree = movie_total.degree()
+nx.write_gexf(movie_total, "Gephi/[weighted-degree]all_annual_distributor.gexf")
+
+
+
+
+plt.figure(figsize=(20,20))
+pos = nx.spring_layout(movie_total, iterations = 10)
+nx.draw(movie_total, pos, alpha = 1, line_color= 'black', linewidths = 0, width = 0.05 ,node_size = 100, node_color = 'w', with_labels = True, font_family='NanumGothic', font_color='black', font_size=8)
+plt.show()
+
+

+#-*-encoding utf-8 -*-
+import matplotlib.pyplot as plt
+import networkx as nx
+from openpyxl import load_workbook
+
+
+movie_genre_list = []
+movie_audience_list = []
+movie_edge_list = []
+movie_graph_list = []
+movie_check_list = []
+max_audience=-1
+load_wb = load_workbook("Movie_data/movie_top500.xlsx", data_only=True)
+load_ws = load_wb['Sheet1']
+
+
+def make_edge(movielist):
+    edge_list = []
+    for i in range(0,len(movielist)):
+            for j in range(0, len(movielist)):
+                if i == j:
+                    break
+                else:
+                    edge_list.append((movielist[i],movielist[j]))
+    return edge_list
+
+
+
+
+
+for i in range(7,507,1):
+    distributor_name='L'+str(i)
+    genre_name='M'+str(i)
+    name3=(str(load_ws[distributor_name].value) +','+ str(load_ws[genre_name].value)).split(',')
+    movie_audience_list.append(int(load_ws['F'+str(i)].value))
+    movie_genre_list.append(name3)
+
+
+for i in range(0, 500):
+    if movie_genre_list[i] in movie_check_list:
+       movie_audience_list[i]=movie_audience_list[i]+movie_audience_list[movie_check_list.index(movie_genre_list[i])]
+       movie_audience_list[movie_check_list.index(movie_genre_list[i])]=movie_audience_list[i]
+       movie_check_list.append(movie_genre_list[i])
+    else:
+        movie_check_list.append(movie_genre_list[i])
+    if movie_audience_list[i] > max_audience:
+        max_audience=movie_audience_list[i]
+        
+
+for i in range(0, 500):
+    movie_graph = nx.Graph()
+    movie_edge = make_edge(movie_genre_list[i])    
+    movie_edge_list.append(movie_edge)
+    movie_graph.add_nodes_from(movie_genre_list[i])
+    movie_graph.add_edges_from(movie_edge_list[i], weight = movie_audience_list[i]/(max_audience+1))
+    movie_graph_list.append(movie_graph)
+
+
+movie_total = nx.Graph()
+
+for i in range(0,500):
+    movie_total = nx.compose(movie_total, movie_graph_list[i])
+
+degree = movie_total.degree()
+nx.write_gexf(movie_total, "Gephi/[weighted-degree]all_annual_genre.gexf")
+
+
+
+
+plt.figure(figsize=(20,20))
+pos = nx.spring_layout(movie_total, iterations = 10)
+nx.draw(movie_total, pos, alpha = 1, line_color= 'black', linewidths = 0, width = 0.05 ,node_size = 100, node_color = 'w', with_labels = True, font_family='NanumGothic', font_color='black', font_size=8)
+plt.show()
+
+

+#-*-encoding utf-8 -*-
+import matplotlib.pyplot as plt
+import networkx as nx
+from openpyxl import load_workbook
+
+
+movie_director_list = []
+movie_audience_list = []
+movie_edge_list = []
+movie_graph_list = []
+movie_check_list = []
+max_audience=-1
+load_wb = load_workbook("Movie_data/movie_top500.xlsx", data_only=True)
+load_ws = load_wb['Sheet1']
+
+
+def make_edge(movielist):
+    edge_list = []
+    for i in range(0,len(movielist)):
+            for j in range(0, len(movielist)):
+                if i == j:
+                    break
+                else:
+                    edge_list.append((movielist[i],movielist[j]))
+    return edge_list
+
+movie_year=input("영화의 개봉연도 4자리를 입력해주세요: ")
+range_count=0
+
+
+
+for i in range(7,507,1):
+    movie_year_check=str(load_ws['C'+str(i)].value)
+    distributor_name='L'+str(i)
+    director_name='K'+str(i)
+    if movie_year == movie_year_check[:4]:
+        name3=(str(load_ws[distributor_name].value) +','+ str(load_ws[director_name].value)).split(',')
+        movie_audience_list.append(int(load_ws['F'+str(i)].value))
+        movie_director_list.append(name3)
+        range_count+=1
+
+
+
+
+for i in range(0, range_count):
+    if movie_director_list[i] in movie_check_list:
+       movie_audience_list[i]=movie_audience_list[i]+movie_audience_list[movie_check_list.index(movie_director_list[i])]
+       movie_audience_list[movie_check_list.index(movie_director_list[i])]=movie_audience_list[i]
+       movie_check_list.append(movie_director_list[i])
+    else:
+        movie_check_list.append(movie_director_list[i])
+    if movie_audience_list[i] > max_audience:
+        max_audience=movie_audience_list[i]
+        
+
+for i in range(0, range_count):
+    movie_graph = nx.Graph()
+    movie_edge = make_edge(movie_director_list[i])    
+    movie_edge_list.append(movie_edge)
+    movie_graph.add_nodes_from(movie_director_list[i])
+    movie_graph.add_edges_from(movie_edge_list[i], weight = movie_audience_list[i]/(max_audience+1))
+    movie_graph_list.append(movie_graph)
+
+
+movie_total = nx.Graph()
+
+for i in range(0,range_count):
+    movie_total = nx.compose(movie_total, movie_graph_list[i])
+
+degree = movie_total.degree()
+nx.write_gexf(movie_total, "Gephi/[weighted-degree]annual_distributor_"+movie_year+".gexf")
+
+
+
+
+plt.figure(figsize=(20,20))
+pos = nx.spring_layout(movie_total, iterations = 10)
+nx.draw(movie_total, pos, alpha = 1, line_color= 'black', linewidths = 0, width = 0.05 ,node_size = 100, node_color = 'w', with_labels = True, font_family='NanumGothic', font_color='black', font_size=8)
+plt.show()
+
+

+#-*-encoding utf-8 -*-
+import matplotlib.pyplot as plt
+import networkx as nx
+from openpyxl import load_workbook
+
+
+movie_genre_list = []
+movie_audience_list = []
+movie_edge_list = []
+movie_graph_list = []
+movie_check_list = []
+max_audience=-1
+load_wb = load_workbook("Movie_data/movie_top500.xlsx", data_only=True)
+load_ws = load_wb['Sheet1']
+
+
+def make_edge(movielist):
+    edge_list = []
+    for i in range(0,len(movielist)):
+            for j in range(0, len(movielist)):
+                if i == j:
+                    break
+                else:
+                    edge_list.append((movielist[i],movielist[j]))
+    return edge_list
+
+
+movie_year=input("영화의 개봉연도 4자리를 입력해주세요: ")
+range_count=0
+
+
+
+for i in range(7,507,1):
+    movie_year_check=str(load_ws['C'+str(i)].value)
+    distributor_name='L'+str(i)
+    genre_name='M'+str(i)
+    if movie_year == movie_year_check[:4]:
+        name3=(str(load_ws[distributor_name].value) +','+ str(load_ws[genre_name].value)).split(',')
+        movie_audience_list.append(int(load_ws['F'+str(i)].value))
+        movie_genre_list.append(name3)
+        range_count+=1
+
+
+for i in range(0, range_count):
+    if movie_genre_list[i] in movie_check_list:
+       movie_audience_list[i]=movie_audience_list[i]+movie_audience_list[movie_check_list.index(movie_genre_list[i])]
+       movie_audience_list[movie_check_list.index(movie_genre_list[i])]=movie_audience_list[i]
+       movie_check_list.append(movie_genre_list[i])
+    else:
+        movie_check_list.append(movie_genre_list[i])
+    if movie_audience_list[i] > max_audience:
+        max_audience=movie_audience_list[i]
+        
+
+for i in range(0, range_count):
+    movie_graph = nx.Graph()
+    movie_edge = make_edge(movie_genre_list[i])    
+    movie_edge_list.append(movie_edge)
+    movie_graph.add_nodes_from(movie_genre_list[i])
+    movie_graph.add_edges_from(movie_edge_list[i], weight = movie_audience_list[i]/(max_audience+1))
+    movie_graph_list.append(movie_graph)
+
+
+movie_total = nx.Graph()
+
+for i in range(0,range_count):
+    movie_total = nx.compose(movie_total, movie_graph_list[i])
+
+degree = movie_total.degree()
+nx.write_gexf(movie_total, "Gephi/[weighted-degree]annual_genre_"+movie_year+".gexf")
+
+
+
+
+plt.figure(figsize=(20,20))
+pos = nx.spring_layout(movie_total, iterations = 10)
+nx.draw(movie_total, pos, alpha = 1, line_color= 'black', linewidths = 0, width = 0.05 ,node_size = 100, node_color = 'w', with_labels = True, font_family='NanumGothic', font_color='black', font_size=8)
+plt.show()
+
+