Update pages/1_EDA_GetAround.py

pages/1_EDA_GetAround.py

@@ -16,7 +16,7 @@ with st.sidebar:
     st.page_link("pages/3_Prediction_Prix.py", label="Prediction Prix", icon="💰")
 
 st.html(
-    "<h1 style='color: #b725c8cc; font-size: 22px'>EDA GETAROUND</span>!</h1><span style='font-style: italic; text-align='right'>DataScience 33 - Eric Nguyen</span>"
+    "<h1 style='color: #b725c8cc; font-size: 22px'>EDA GETAROUND</span>!</h1>"
 )
 
 df = pd.read_excel("get_around_delay_analysis.xlsx")
@@ -270,18 +270,6 @@ st.plotly_chart(fig)
 
 #---
 
-# Mask sur les Canceled
-
-mask_canceled = df['state'] == 'canceled'
-car_canceled_detail = df[mask_canceled]
-
-car_canceled_detail = car_canceled_detail['checkin_type'].value_counts()
-car_canceled_detail = pd.DataFrame(car_canceled_detail).reset_index()
-car_canceled_detail.columns = ['checkin_type', 'count']
-
-cancel_device = px.pie(car_canceled_detail, values='count', names='checkin_type', title='Groupe Cancel : Checkin Type', color = 'checkin_type', width=WIDTH)
-st.plotly_chart(cancel_device)
-
 #Visualisation des Cancels et les outliers
 
 delay_mask = df['delay_at_checkout_in_minutes'] > 0