before proactive

analysis_firm_network.py

@@ -1,7 +1,6 @@
 import pandas as pd
 import matplotlib.pyplot as plt
 import networkx as nx
-import math
 
 plt.rcParams['font.sans-serif'] = 'SimHei'
 
@@ -65,9 +64,11 @@ for _, row in count_dcp.iterrows():
 pos = nx.nx_agraph.graphviz_layout(G_firm, prog="dot", args="")
 node_label = nx.get_node_attributes(G_firm, 'Name')
 # node_degree = dict(G_firm.out_degree())
+# desensitize
 node_label = {
     # key: f"{node_label[key]} {node_degree[key]}"
-    key: f"{node_label[key]}"
+    # key: f"{node_label[key]}"
+    key: key
     for key in node_label.keys()
 }
 node_size = list(nx.get_node_attributes(G_firm, 'Revenue_Log').values())
@@ -87,7 +88,7 @@ nx.draw(G_firm,
         node_size=node_size,
         labels=node_label,
         font_size=6,
-        width = 3,
+        width=3,
         edge_color=colors,
         edge_cmap=cmap,
         edge_vmin=vmin,
@@ -95,7 +96,7 @@ nx.draw(G_firm,
 nx.draw_networkx_edge_labels(G_firm, pos, edge_label, font_size=6)
 sm = plt.cm.ScalarMappable(cmap=cmap, norm=plt.Normalize(vmin=vmin, vmax=vmax))
 sm._A = []
-position=fig.add_axes([0.9, 0.05, 0.01, 0.3])
+position = fig.add_axes([0.9, 0.05, 0.01, 0.3])
 plt.colorbar(sm, fraction=0.01, cax=position)
-# plt.savefig("analysis\\count_dcp_network")
+plt.savefig("analysis\\count_dcp_network20230526_de")
 plt.close()