I am using seaborn.objects to create a faceted plot. I have read the documentation but setting font size argument does not do anything (Seaborn.objects Documentation) My Df: {'storage': {0: '4 °C', 1: '4 °C', 2: 'fresh', 3: 'fresh', 4: 'frozen', 5: 'frozen', 6: '4 °C', 7: '4 °C', 8: 'fresh', 9: 'fresh', 10: 'frozen', 11: 'frozen', 12: '4 °C', 13: '4 °C', 14: 'fresh', 15: 'fresh', 21: 'fresh'}, 'time': {0: '4 h', 1: '6 h', 2: '4 h', 3: '6 h', 4: '4 h', 5: '6 h', 6: '4 h', 7: '6 h', 8: '4 h', 9: '6 h', 10: '4 h', 11: '6 h', 12: '4 h', 13: '6 h', 14: '4 h', 15: '6 h', 21: '6 h'}, 'Predicted Class': {0: 'resting', 1: 'resting', 2: 'resting', 3: 'resting', 4: 'resting', 5: 'resting', 6: 'swollen', 7: 'swollen', 8: 'swollen', 9: 'swollen', 10: 'swollen', 11: 'swollen', 12: 'germling', 13: 'germling', 14: 'germling', 15: 'germling', 21: 'hyphae'}, '%': {0: 25.57, 1: 4.87, 2: 12.19, 3: 4.87, 4: 99.87, 5: 99.77, 6: 72.89, 7: 60.23, 8: 86.93, 9: 42.83, 10: 0.13, 11: 0.23, 12: 1.54, 13: 34.9, 14: 0.88, 15: 51.4, 21: 0.9}} import seaborn.objects as so # Create the Plot object plot = so.Plot(counts2_melted_df, x="storage", y="%", color="Predicted Class", text="%") # Facet the plot by 'strain' with an increased height for each row plot = plot.layout(size=(8,8)) # Adjust the scale factor for height # Add the bar and stack plot = plot.add(so.Bar(), so.Stack()).scale(color=color_palette) plot = plot.label(x="Storage Condition", y="Percentage of Morphotype (%)") plot= plot.theme({"axes.facecolor": "w", "axes.edgecolor": "slategray"}) plot = plot.facet(row="time") #Render the plot to get the underlying matplotlib axes plot.plot() I have tried plot = plot.label(x="Storage Condition", fontsize=28) plot = plot.label(y="Percentage of Morphotype (%)", fontsize=28) Any suggestions? I need to increase the font size drastically to make the plot readable on a poster. I would be grateful for any help! Continue reading...