a

graph.py

@@ -16,8 +16,14 @@ def format_val(x, pos=None):
 # ==========================================
 # 1. EDIT YOUR DATA HERE
 # ==========================================
-labels = ['Tetris AI test CPU', 'tet_cpu_per_row', '4 tet_cpu_per_row']
-values = [41700, 909000, 909000*4]  # e.g., Speed, FPS, Transactions per second (Higher is better)
+# Define primary labels and subtext descriptions
+labels_main = ['Bitboard Tetris', 'TET-CPU']
+subtexts = ['AMD R7-7735H', '50Mhz']
+
+# Combine them with newline characters
+labels = [f"{main}\n{sub}" for main, sub in zip(labels_main, subtexts)]
+
+values = [41700, 909000]  # e.g., Speed, FPS, Transactions per second (Higher is better)
 
 # Define your unit here (add a space at the start so it looks clean)
 unit_label = "Moves per Second [Moves/sec]"  
@@ -41,7 +47,7 @@ bars = ax.barh(labels, values, color=[competitor_color, brand_color], height=0.4
 # ==========================================
 # 3. CONFIGURE AXES
 # ==========================================
-# X-Axis Tick Formatting (The requested change)
+# X-Axis Tick Formatting
 ax.xaxis.set_major_formatter(ticker.FuncFormatter(format_val))
 
 for spine in ax.spines.values():
@@ -50,7 +56,12 @@ ax.spines['bottom'].set_visible(True)
 ax.spines['bottom'].set_color('white')
 ax.spines['bottom'].set_path_effects(black_outline)
 
-ax.tick_params(axis='both', colors='white', labelsize=12)
+# Set base size for x-axis ticks
+ax.tick_params(axis='x', colors='white', labelsize=12)
+
+# Set larger font size specifically for Y-axis labels (Option 1)
+ax.tick_params(axis='y', colors='white', labelsize=18) 
+
 for label in ax.get_xticklabels() + ax.get_yticklabels():
     label.set_path_effects(black_outline)
 
@@ -83,7 +94,9 @@ multiplier_txt = ax.text(x_line + (max_val * 0.03), (y0+y1)/2, f'{multiplier:.1f
                          ha='left', va='center', color=brand_color, fontsize=22, fontweight='heavy')
 multiplier_txt.set_path_effects(black_outline)
 
-ax.set_xlim(0, max_val * 1.45)
+# Set x-axis limit to end around 1.1M
+ax.set_xlim(0, 1_100_000)
+
 plt.tight_layout()
 plt.subplots_adjust(bottom=0.2)