Update app.py

app.py

@@ -141,11 +141,16 @@ def main():
             # Read the Excel file into a DataFrame
             df = pd.read_excel(uploaded_file)
 
+            # Format "Date of Session" and "Timestamp"
+            df['Date of Session'] = pd.to_datetime(df['Date of Session']).dt.strftime('%m/%d/%Y')
+            df['Timestamp'] = pd.to_datetime(df['Timestamp']).dt.strftime('%I:%M %p')
+            df = df[['Date of Session', 'Timestamp'] + [col for col in df.columns if col not in ['Date of Session', 'Timestamp']]]
+
             # Replace student names with initials
             df = replace_student_names_with_initials(df)
 
             st.subheader("Uploaded Data")
-            st.write(df)  # Display only the first four rows
+            st.write(df)
 
             # Ensure expected column is available
             if INTERVENTION_COLUMN not in df.columns:
@@ -158,10 +163,14 @@ def main():
             # Compute Intervention Session Statistics
             intervention_stats = compute_intervention_statistics(df)
             st.subheader("Intervention Session Statistics")
-            st.write(intervention_stats)
-
-            # Visualization for Intervention Session Statistics
-            intervention_fig = plot_intervention_statistics(intervention_stats)
+            
+            # Two-column layout for the visualization and intervention frequency
+            col1, col2 = st.columns(2)
+            with col1:
+                intervention_fig = plot_intervention_statistics(intervention_stats)
+            with col2:
+                intervention_frequency = intervention_stats['Intervention Frequency (%)'].values[0]
+                st.markdown(f"<h1 style='color: #358E66;'>{intervention_frequency}%</h1>", unsafe_allow_html=True)
 
             # Add download button for Intervention Session Statistics chart
             download_chart(intervention_fig, "intervention_statistics_chart.png")
@@ -232,12 +241,12 @@ def compute_intervention_statistics(df):
     intervention_frequency = (sessions_held / total_days) * 100 if total_days > 0 else 0
     intervention_frequency = round(intervention_frequency, 2)
 
-    # Create a DataFrame to display the statistics
+    # Reorder columns as specified
     stats = {
-        'Total Number of Days Available': [total_days],
+        'Intervention Frequency (%)': [intervention_frequency],
         'Intervention Sessions Held': [sessions_held],
         'Intervention Sessions Not Held': [sessions_not_held],
-        'Intervention Frequency (%)': [intervention_frequency]
+        'Total Number of Days Available': [total_days]
     }
     stats_df = pd.DataFrame(stats)
     return stats_df
@@ -248,17 +257,16 @@ def plot_intervention_statistics(intervention_stats):
     sessions_not_held = intervention_stats['Intervention Sessions Not Held'].values[0]
 
     fig, ax = plt.subplots()
-    ax.bar(['Intervention Sessions'], [sessions_not_held], label='Not Held', color='#358E66')
-    ax.bar(['Intervention Sessions'], [sessions_held], bottom=[sessions_not_held], label='Held', color='#91D6B8')
+    ax.bar(['Intervention Sessions'], [sessions_not_held], label='Not Held', color='#91D6B8')
+    ax.bar(['Intervention Sessions'], [sessions_held], bottom=[sessions_not_held], label='Held', color='#358E66')
 
-    # Display the values on the bars
+    # Display values on the bars
     ax.text(0, sessions_not_held / 2, str(sessions_not_held), ha='center', va='center', color='white')
     ax.text(0, sessions_not_held + sessions_held / 2, str(sessions_held), ha='center', va='center', color='black')
 
-    ax.set_ylabel('Number of Sessions')
-    ax.set_title('Intervention Sessions Held vs Not Held')
+    # Update chart settings
+    ax.set_ylabel('Frequency')
     ax.legend()
-
     st.pyplot(fig)
 
     return fig