analysis

analysis_prod.py

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+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+import networkx as nx
+import math
+
+plt.rcParams['font.sans-serif'] = 'SimHei'
+
+Firm = pd.read_csv("Firm_amended.csv")
+Firm['Code'] = Firm['Code'].astype('string')
+Firm.fillna(0, inplace=True)
+count_prod = pd.read_csv("analysis\\count_prod.csv")
+for index, row in count_prod.iterrows():
+    count_prod.loc[index, 'num_firm'] = sum(Firm[row['id_product']]==1)
+    count_prod.loc[index, 'avg_size'] = Firm.loc[Firm[row['id_product']]==1, 'Revenue_Log'].median()
+
+
+print(count_prod)
+# sns.scatterplot(x='count', y='avg_size',data=count_prod)
+ax = plt.subplot(projection = '3d')  # 创建一个三维的绘图工程
+ax.scatter(count_prod['avg_size'], count_prod['num_firm'], count_prod['count'], c = 'r')
+plt.show()