chore: make graphs larger

Programming/WDWR/projekt/doc/main.tex

@@ -1,4 +1,4 @@
-\documentclass[12pt,a4paper]{article}
+\documentclass[a4paper]{article}
 
 \usepackage[utf8]{inputenc}
 \usepackage{amsmath}

Programming/WDWR/projekt/graph.py

@@ -30,11 +30,13 @@ df = pd.read_csv(StringIO(data_str), sep=';')
 
 # Create the scatter plot
 plt.figure(figsize=(10, 6))
-plt.scatter(df['averageProfit'], df['riskMeasureGini'], alpha=0.7, s=50)
+plt.scatter(df['averageProfit'], df['riskMeasureGini'], alpha=0.7, s=200)
 
 # Add labels and title
-plt.xlabel('Przeciętny Zysk')
-plt.ylabel('Ryzyko')
+plt.xlabel('Przeciętny Zysk', fontsize=16)
+plt.ylabel('Ryzyko', fontsize=16)
+plt.xticks(fontsize=16)
+plt.yticks(fontsize=16)
 
 # Add grid for better readability
 plt.grid(True, alpha=0.3)

Programming/WDWR/projekt/graph2.py

@@ -46,11 +46,13 @@ plt.plot(scenario1_sorted, y_values, 'b-o', label='Scenariusz 1', linewidth=2, m
 plt.plot(scenario2_sorted, y_values, 'g-s', label='Scenariusz 2', linewidth=2, markersize=4)
 plt.plot(scenario3_sorted, y_values, 'r-^', label='Scenariusz 3', linewidth=2, markersize=4)
 # Add labels and title
-plt.xlabel('Przeciętny Zysk')
-plt.ylabel('Odwrotna dystrybuanta')
+plt.xlabel('Przeciętny Zysk', fontsize=16)
+plt.ylabel('Odwrotna dystrybuanta', fontsize=16)
+plt.xticks(fontsize=16)
+plt.yticks(fontsize=16)
 plt.ylim(0, 1)  # Set y-axis limits to cut off values outside 0-1 range
 plt.grid(True, alpha=0.3)
-plt.legend()
+plt.legend(fontsize=16)
 
 # Format the plot
 plt.tight_layout()

Programming/WDWR/projekt/graph3.py

@@ -38,11 +38,13 @@ plt.plot(scenario2_sorted, y_values, 'g-s', label='Scenariusz 2', linewidth=2, m
 plt.plot(scenario3_sorted, y_values, 'r-^', label='Scenariusz 3', linewidth=2, markersize=4)
 
 # Add labels and title
-plt.xlabel('Ryzyko')
-plt.ylabel('Odwrotna dystrybuanta')
+plt.xlabel('Ryzyko', fontsize=16)
+plt.ylabel('Odwrotna dystrybuanta', fontsize=16)
+plt.xticks(fontsize=16)
+plt.yticks(fontsize=16)
 plt.ylim(0, 1)  # Set y-axis limits to cut off values outside 0-1 range
 plt.grid(True, alpha=0.3)
-plt.legend()
+plt.legend(fontsize=16)
 
 # Format the plot
 plt.tight_layout()