| import matplotlib.pyplot as plt | |
| # Given data | |
| x_values = [0, 0.3, 0.5, 1.0] # Temperature values | |
| y_values = [59.12, 63.58, 63.98, 64.13] # Mean values (A) | |
| y_errors = [0.09, 0.13, 0.23, 0.25] # Standard deviation (B) | |
| # Adjust figure size for 1-column fit in a 2-column research paper (~3.5 inches wide) | |
| plt.figure(figsize=(3.5, 2.5)) | |
| # Create error bar plot | |
| plt.errorbar(x_values, y_values, yerr=y_errors, fmt='o-', capsize=3, capthick=1) | |
| # Labels with optimized font size for readability | |
| plt.xlabel("Temperature", fontsize=9) | |
| plt.ylabel("EX%", fontsize=9) | |
| plt.xticks(x_values, fontsize=8) | |
| plt.yticks(fontsize=8) | |
| plt.grid(True, linestyle="--", alpha=0.7) | |
| # Tight layout for better fit in a research paper column | |
| plt.tight_layout() | |
| # Show the plot | |
| plt.show() | |