From 1fec0950171fa208ff374c4e200dbaffcce066a6 Mon Sep 17 00:00:00 2001 From: He Zhou Date: Sat, 18 Feb 2023 09:06:28 +0800 Subject: [PATCH] 500 time step with new growth rate --- data_analysis.py | 5 +-- env_data.xlsx | Bin 119278 -> 289180 bytes out_f_avg_profit-2023-02-17.pdf | Bin 0 -> 39393 bytes out_f_avg_yield-2023-02-17.pdf | Bin 0 -> 40269 bytes out_f_gini_profit-2023-02-17.pdf | Bin 0 -> 41535 bytes out_w_avg_salary-2023-02-17.pdf | Bin 0 -> 35184 bytes out_w_gini_salary-2023-02-17.pdf | Bin 0 -> 32055 bytes out_w_percent_hired-2023-02-17.pdf | Bin 0 -> 29689 bytes result/experiment_result_25.csv | 50 ++++++++++++++--------------- result/experiment_result_25.xlsx | Bin 7775 -> 7786 bytes 10 files changed, 28 insertions(+), 27 deletions(-) create mode 100644 out_f_avg_profit-2023-02-17.pdf create mode 100644 out_f_avg_yield-2023-02-17.pdf create mode 100644 out_f_gini_profit-2023-02-17.pdf create mode 100644 out_w_avg_salary-2023-02-17.pdf create mode 100644 out_w_gini_salary-2023-02-17.pdf create mode 100644 out_w_percent_hired-2023-02-17.pdf diff --git a/data_analysis.py b/data_analysis.py index 443c55d..a42e44b 100644 --- a/data_analysis.py +++ b/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() diff --git a/env_data.xlsx b/env_data.xlsx index 81168cfdff8f3f1d2b42b8af9fcb16e1886703ae..9ffee959a5c7ae934811dbbc6f78526cc7e5d19d 100644 GIT binary patch literal 289180 zcmZ6ybzB=!*EQNwT#CE9yL*8E#ogWAy%Z=OytoE;x8hRVCAhmg#fsnbdEW24_q~6F 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