init score board without png image

requirements.txt

@@ -3,3 +3,4 @@ pandas>=2.0.0
 numpy>=1.24.0
 scikit-learn>=1.3.0
 statsmodels>=0.14.0
+matplotlib>=3.7.0

results/score_board.py

@@ -0,0 +1,70 @@
+import matplotlib.pyplot as plt
+import os
+
+def create_score_board(weeks=None, scores=None, save_path=None, show=False):
+    """
+    Create a score board plot for R^2 scores over weeks.
+
+    Parameters
+    ----------
+    weeks : list, optional
+        List of week numbers. Default is [0, 1, 2].
+    scores : list, optional
+        List of R^2 scores. Default is [0, 0.51, 0.59].
+    save_path : str, optional
+        Path to save the plot. If None, the plot is not saved.
+    show : bool, optional
+        Whether to display the plot. Default is False.
+
+    Returns
+    -------
+    fig : matplotlib.figure.Figure
+        The generated figure object.
+    """
+    if weeks is None:
+        weeks = [0, 1, 2]
+    if scores is None:
+        scores = [0, 0.51, 0.59]
+
+    # Create figure and axis
+    fig, ax = plt.subplots(figsize=(8, 6))
+
+    # Plot the data
+    ax.plot(weeks, scores, marker='o', linestyle='-', color='b', linewidth=2, markersize=8)
+
+    # Set labels and title
+    ax.set_xlabel('Week', fontsize=12)
+    ax.set_ylabel('R^2 Score', fontsize=12)
+    ax.set_title('R^2 Score Progression Over Weeks', fontsize=14, fontweight='bold')
+
+    # Set x-axis ticks to be exactly the weeks
+    ax.set_xticks(weeks)
+    ax.set_xticklabels([f'Week {w}' for w in weeks])
+
+    # Add grid for better readability
+    ax.grid(True, linestyle='--', alpha=0.7)
+
+    # Annotate each point with its score
+    for i, (x, y) in enumerate(zip(weeks, scores)):
+        ax.annotate(f'{y:.2f}', (x, y), textcoords="offset points", xytext=(0,10), ha='center')
+
+    # Adjust layout to prevent clipping
+    fig.tight_layout()
+
+    # Save the plot if save_path is provided
+    if save_path is not None:
+        # Ensure the directory exists
+        #os.makedirs(os.path.dirname(save_path), exist_ok=True)
+        # we save it into the main directory
+        fig.savefig(save_path, dpi=300)
+        print(f"Plot saved to {save_path}")
+
+    # Show the plot if requested
+    if show:
+        plt.show()
+
+    return fig
+
+if __name__ == "__main__":
+    # Example usage with default data
+    fig = create_score_board(save_path='score_board.png', show=True)