m1

pages/2_Scenario_Planner.py

@@ -1660,8 +1660,8 @@ if auth_status == True:
                     _prospect_cols = st.columns(2)
                     with _prospect_cols[0]:
                         # st.write("Actual")
-                        st.markdown(f'<p> Actual <h5>{format_numbers(actual_channel_sales)}</h5> </p>', unsafe_allow_html=True)
-                        st.markdown(f'<p> Change <h5>{format_numbers(sales_delta)}</h5> </p>', unsafe_allow_html=True)
+                        st.markdown(f'<p> Actual <h5>{format_numbers_f(actual_channel_sales)}</h5> </p>', unsafe_allow_html=True)
+                        st.markdown(f'<p> Change <h5>{format_numbers_f(sales_delta)}</h5> </p>', unsafe_allow_html=True)
 
                     #     st.metric(
                     #         # target,
@@ -1677,7 +1677,7 @@ if auth_status == True:
                     #         # label_visibility="collapsed",
                     #     )
                     with _prospect_cols[1]:
-                        st.markdown(f'<p> Simulated <h5>{format_numbers(current_channel_sales)}</h5> </p>', unsafe_allow_html=True)
+                        st.markdown(f'<p> Simulated <h5>{format_numbers_f(current_channel_sales)}</h5> </p>', unsafe_allow_html=True)
                         st.markdown(f'<p>Percent<h5>{numerize(( _channel_class.delta_sales/actual_channel_sales)*100,0) +"%"}</h5> </p>', unsafe_allow_html=True)
 
                     #     st.metric(
@@ -1898,10 +1898,10 @@ if auth_status == True:
             # List of 12 months
             months_start = ["January", "February", "March", "April", "May", "June",
                         "July", "August", "September", "October", "November", "December"]
-            years_start = range(2022,2024)
+            years_start = range(2022,2025)
             months_end = ["January", "February", "March", "April", "May", "June",
                         "July", "August", "September", "October", "November", "December"]
-            years_end = range(2022,2024)
+            years_end = range(2022,2025)
             with col1:
                 from datetime import date
                 st.write ("Select Start Time Period")

summary_df.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2393ba5b3fa0536a78a086be8ff9c21d9feb86fc791cca0d402190980aba4014
+oid sha256:3f7c369a1c873502ccb8c5ea2caa32211c854be174030515980f0b600180698f
 size 1822