feat: add graph/parse.py

src/graph/parse.py

@@ -0,0 +1,34 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+
+def parse_and_plot(csv_file):
+    # 讀取 CSV 檔案
+    try:
+        df = pd.read_csv(csv_file, header=None)
+        # 提取迭代次數和價值數據
+        iteration_data = df.iloc[::2, 0].str.split(expand=True)
+        iteration_data.columns = ['Iteration', 'Value', 'Weight', 'Length']
+
+        # 確保數據為數值類型
+        iteration_data['Iteration'] = pd.to_numeric(iteration_data['Iteration'])
+        iteration_data['Value'] = pd.to_numeric(iteration_data['Value'])
+
+        # 繪製圖表
+        plt.figure(figsize=(10, 6))
+        plt.plot(iteration_data['Iteration'], iteration_data['Value'], marker='o', linestyle='-', color='b')
+
+        # 加入標籤和標題
+        plt.xlabel('Iteration')
+        plt.ylabel('Value')
+        plt.title('Iteration vs Value')
+
+        # 顯示圖表
+        plt.grid(True)
+        plt.show()
+
+    except Exception as e:
+        print(f"解析 CSV 文件時發生錯誤: {e}")
+
+if __name__ == "__main__":
+    csv_file = "output.csv"
+    parse_and_plot(csv_file)