500 time step with new growth rate

data_analysis.py

@@ -1,8 +1,9 @@
 import numpy as np
 import pandas as pd
 import matplotlib.pyplot as plt
+from datetime import datetime
 
-num_time_step = 201
+num_time_step = 501
 num_iter = 10
 
 env_data = pd.DataFrame(pd.read_excel('env_data.xlsx', engine='openpyxl', sheet_name=0))
@@ -25,5 +26,5 @@ for str_col in lst_column:
         plt.plot(x, y)
     # plt.show()
     # plt.close()
-    plt.savefig(f'{str_col}.pdf', bbox_inches="tight")
+    plt.savefig(f"{str_col}-{datetime.today().strftime('%Y-%m-%d')}.pdf", bbox_inches="tight")
     plt.close()

result/experiment_result_25.csv

@@ -1,26 +1,26 @@
 ,alpha,percent_search,is_RH_ratio,is_FH_ratio,4,5,out_w_avg_salary,out_w_gini_salary,out_f_avg_profit,out_f_avg_yield,out_f_gini_profit,out_w_percent_hired
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