Change scaling plot to loglog

src/project2/python/scaling_plotter.py

@@ -7,6 +7,7 @@ import os
 parser = argparse.ArgumentParser(description='Plot scaling data.')
 parser.add_argument('input_file', type=str, help='Path to the input CSV file')
 parser.add_argument("--times", "-t", action="store_true", help="Plot times instead of iterations")
+parser.add_argument("--no-loglog", "-nL", action="store_true", help="Do not use log-log scale")
 
 args = parser.parse_args()
 data = pd.read_csv(args.input_file)
@@ -18,16 +19,17 @@ if args.times:
     ax.plot(x, data["Arma_time"], label='Armadillo Time', color='C1', linestyle='-', marker='o')
     ax.set_ylabel('Time (s)')
     ax.set_title('Scaling of Computation Time')
-    ax.set_yscale('log')
     ax.legend()
     ax.grid()
 else:
     ax.set_ylabel('Number of Iterations')
     ax.set_title('Scaling of Jacobi Iterations')
-    ax.set_yscale('log')
     ax.plot(x, data["Jacobi_iterations"], label='Jacobi Iterations', color='C0', linestyle='-', marker='o')
     ax.grid()
 
+if not args.no_loglog:
+    ax.set_xscale('log')
+    ax.set_yscale('log')
 ax.set_xlabel('Matrix Size N')
 dir = os.path.abspath(os.path.join(os.path.dirname(__file__), "../../../projects/project2/include"))
 filename = args.input_file.split("/")[-1].replace(".txt", "")