updtae

Author: yunwei37

analysis/bpf/pie_commits.py

@@ -18,10 +18,10 @@ def plot_commit_classification_pie():
         value_counts = value_counts[:max_labels]._append(pd.Series([value_counts[max_labels:].sum()], index=['Other']))
 
     # Truncate labels for better readability
-    truncated_labels = [label[:20] + '...' if len(label) > 10 else label for label in value_counts.index]
+    truncated_labels = [label[:15] + '...' if len(label) > 10 else label for label in value_counts.index]
 
     # Plot the pie chart
-    fig, ax = plt.subplots(figsize=(7, 5))
+    fig, ax = plt.subplots(figsize=(6, 4))
     ax.pie(value_counts, labels=truncated_labels, autopct='%1.1f%%', startangle=90)
     # ax.set_title('Commit Classification', fontsize=12)
 
@@ -40,10 +40,10 @@ def plot_commit_complexity_pie():
         value_counts = value_counts[:max_labels]._append(pd.Series([value_counts[max_labels:].sum()], index=['Other']))
 
     # Truncate labels for better readability
-    truncated_labels = [label[:20] + '...' if len(label) > 10 else label for label in value_counts.index]
+    truncated_labels = [label[:15] + '...' if len(label) > 10 else label for label in value_counts.index]
 
     # Plot the pie chart
-    fig, ax = plt.subplots(figsize=(7, 5))
+    fig, ax = plt.subplots(figsize=(6, 4))
     ax.pie(value_counts, labels=truncated_labels, autopct='%1.1f%%', startangle=90)
     # ax.set_title('Commit Complexity', fontsize=12)
 
@@ -78,7 +78,7 @@ def plot_implementation_component_pie():
     truncated_labels = [label[:30] + '...' if len(label) > 10 else label for label in value_counts.index]
 
     # Plot the pie chart
-    fig, ax = plt.subplots(figsize=(7, 5))
+    fig, ax = plt.subplots(figsize=(6, 4))
     ax.pie(value_counts, labels=truncated_labels, autopct='%1.1f%%', startangle=90)
 
     # Save the figure
@@ -96,10 +96,10 @@ def plot_logic_component_pie():
         value_counts = value_counts[:max_labels]._append(pd.Series([value_counts[max_labels:].sum()], index=['Other']))
 
     # Truncate labels for better readability
-    truncated_labels = [label[:20] + '...' if len(label) > 10 else label for label in value_counts.index]
+    truncated_labels = [label[:15] + '...' if len(label) > 10 else label for label in value_counts.index]
 
     # Plot the pie chart
-    fig, ax = plt.subplots(figsize=(7, 5))
+    fig, ax = plt.subplots(figsize=(6, 4))
     ax.pie(value_counts, labels=truncated_labels, autopct='%1.1f%%', startangle=90)
     # ax.set_title('Major Logic Component', fontsize=12)
 
@@ -144,10 +144,10 @@ def plot_usecases_or_submodule_pie():
         value_counts = value_counts[:max_labels]._append(pd.Series([value_counts[max_labels:].sum()], index=['Other']))
 
     # Truncate labels for better readability
-    truncated_labels = [label[:20] + '...' if len(label) > 10 else label for label in value_counts.index]
+    truncated_labels = [label[:15] + '...' if len(label) > 10 else label for label in value_counts.index]
 
     # Plot the pie chart
-    fig, ax = plt.subplots(figsize=(7, 5))
+    fig, ax = plt.subplots(figsize=(6, 4))
     ax.pie(value_counts, labels=truncated_labels, autopct='%1.1f%%', startangle=90)
     # ax.set_title('Use Cases or Submodule Events', fontsize=12)
 

analysis/bpf/timeline_commits_3m.py

@@ -131,7 +131,7 @@ def plot_frequency_timeline(field_name, title, max_labels, threshold, save_path)
     ax.set_xlabel('Time (3-Month Intervals)', fontsize=14)
     ax.set_ylabel('Number of Commits', fontsize=14)
 
-    truncated_labels = [label[:20] + '...' if len(label) > 20 else label for label in monthly_counts.columns]
+    truncated_labels = [label[:15] + '...' if len(label) > 20 else label for label in monthly_counts.columns]
 
     ax.legend(truncated_labels, loc='upper left', bbox_to_anchor=(1,1))  # Place legend outside the plot
 
@@ -195,7 +195,7 @@ def plot_usecases_timeline(title, save_path, max_labels=8, threshold=0.005):
     ax.set_ylabel('Number of Commits', fontsize=14)
 
     # Truncate long labels for the legend
-    truncated_labels = [label[:20] + '...' if len(label) > 20 else label for label in monthly_counts.columns]
+    truncated_labels = [label[:15] + '...' if len(label) > 20 else label for label in monthly_counts.columns]
 
     # Add the legend with truncated labels
     ax.legend(truncated_labels, loc='upper left', bbox_to_anchor=(1, 1))  # Place legend outside the plot