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778d47d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | 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()
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