adds docstrings

app/analysis/plot_line_activity-user.py

@@ -12,13 +12,30 @@ matplotlib.use('Agg')
 logger = get_logger()
 
 class PlotLineActivityAllUsers(BasePlotAnalysis):
+    """
+    Class for analyzing user activity trends over multiple days and generating a line graph.
+
+    Attributes:
+    name (str): The name of the analysis.
+    description (str): A brief description of the analysis.
+    plot_filename (str): The filename for the output plot.
+    note (str): Additional notes for the analysis.
+    """
     name = "Activity Line Graph (All Users)"
     description = "This analysis shows the activity line graph for all users. Gneerates a downloadable PNG image."
     plot_filename = "line_activity-all_users.png"
     note = ""
     
     def transform_data(self, df: pd.DataFrame) -> pd.DataFrame:
-        """Transform data for the bar plot"""
+        """
+        Transform data for the line plot.
+
+        Parameters:
+        df (pd.DataFrame): The input DataFrame containing user activity data.
+
+        Returns:
+        pd.DataFrame: The transformed DataFrame with activity counts by hour.
+        """
         df['hour'] = df['timestamp'].dt.hour
         df = df[df['was_active'] == True].pivot_table(index='name', columns='hour', values='was_active', aggfunc='sum', fill_value=0)
         df['total_active_minutes'] = df.sum(axis=1)
@@ -30,7 +47,12 @@ class PlotLineActivityAllUsers(BasePlotAnalysis):
         return df
 
     def plot_data(self, df: pd.DataFrame):
-        # Plot activity throughout the day for each user with the cumulative sum having a bold line in one plot
+        """
+        Generate line graph for user activity throughout the day.
+
+        Parameters:
+        df (pd.DataFrame): The transformed DataFrame containing activity counts by hour.
+        """
         plt.figure(figsize=(12, 6))
 
         # Plot each user's activity