Update eda.py

eda.py

@@ -46,13 +46,13 @@ def run():
     st.pyplot(fig)
 
     # Barplot price room 
-    st.write('###### Price room categories (1 = low, 2 = medium, 3 = high)')
-    bins = [-1, 100,200,1000]
-    labels =[1,2,3]
-    df['binned_price'] = pd.cut(df['avg_price_per_room'], bins,labels=labels).astype(int)
-    fig=plt.figure(figsize=(15,5))
-    sns.countplot(x='binned_price', data = df)
-    st.pyplot(fig)
+    #st.write('###### Price room categories (1 = low, 2 = medium, 3 = high)')
+    #bins = [-1, 100,200,1000]
+    #labels =[1,2,3]
+    #df['binned_price'] = pd.cut(df['avg_price_per_room'], bins,labels=labels).astype(int)
+    #fig=plt.figure(figsize=(15,5))
+    #sns.countplot(x='binned_price', data = df)
+    #st.pyplot(fig)
 
     # Barplot type room 
     st.write('###### Room type reserved')
@@ -61,14 +61,15 @@ def run():
     st.pyplot(fig)    
 
     # Barplot lead time 
-    st.write('###### lead time date reservation to date stay (1 = low, 2 = medium, 3 = high)')
-    st.write('###### 1 = < 3 days, 2 = 3-7 days, 3 = 7-14 days, 4 = 14 -30 days, 5 = 30 - 90 days, 6 = > 90 days)')
-    bins = [-1, 3, 7, 14,30,90,500]
-    labels =[1,2,3,4,5,6]
-    df['binned_lead_time'] = pd.cut(df['lead_time'], bins,labels=labels).astype(int)
-    fig=plt.figure(figsize=(15,5))
-    sns.countplot(x='binned_lead_time', data = df)
-    st.pyplot(fig)
+    #st.write('###### lead time date reservation to date stay (1 = low, 2 = medium, 3 = high)')
+    #st.write('###### 1 = < 3 days, 2 = 3-7 days, 3 = 7-14 days, 4 = 14 -30 days, 5 = 30 - 90 days, 6 = > 90 days)')
+    #bins = [-1, 3, 7, 14,30,90,500]
+    #labels =[1,2,3,4,5,6]
+    #df['binned_lead_time'] = pd.cut(df['lead_time'], bins,labels=labels).astype(int)
+    #fig=plt.figure(figsize=(15,5))
+    #sns.countplot(x='binned_lead_time', data = df)
+    #st.pyplot(fig)
+