Update app.py

app.py

@@ -91,7 +91,6 @@ st.plotly_chart(fig)
 #fig = px.histogram(data, x='checkin_type', color='state')
 #st.plotly_chart(fig)    
 
-
 col = 'delay_at_checkout_in_minutes'
 col_mean = data[col].mean()
 col_std = data[col].std()
@@ -105,10 +104,14 @@ print('state: ', data['state'].value_counts())
 
 st.subheader("Retard au retour selon le mode de réservation")
 
+if st.checkbox('Mobile'):
+    df = df[checkin_type="mobile"]
+else:
+    df = df[checking_type="connect"]
+
 if st.checkbox('Montrer uniquement les voitures rendues en retard', value=True):
     mini = 0
     df = data[data['delay_at_checkout_in_minutes']>mini]
-
 else:
     df = data
     mini = int(df['delay_at_checkout_in_minutes'].min())
@@ -121,11 +124,10 @@ maxi = int(df['delay_at_checkout_in_minutes'].max())
 
 move_upper_mask = df['delay_at_checkout_in_minutes']<seuil
 lower_mask = df['delay_at_checkout_in_minutes']>mini
-type_mask = df['checkin_type']="mobile"
-global_mask = move_upper_mask & lower_mask & type_mask
-part_mask = move_upper_mask & type_mask
+global_mask = move_upper_mask & lower_mask
+part_mask = move_upper_mask
 number_of_rent = len(df[global_mask])
-part_of_rent = 100 * len(df[part_mask]) / len(df[type_mask])
+part_of_rent = 100 * len(df[move_upper_mask]) / len(df)
 
 fig_px = px.histogram(df, color='checkin_type', x='delay_at_checkout_in_minutes')
 fig = go.Figure(fig_px)