m1

classes.py

@@ -148,6 +148,7 @@ class Channel:
             # dividing_rate = self.response_curve_params["num_pos_obsv"]
                 # x = np.sum(x)
             # dividing_rate = 104
+            dividing_rate = self.response_curve_params["num_pos_obsv"]
             Kd= self.response_curve_params["Kd"]
             n= self.response_curve_params["n"]
             x_min= self.response_curve_params["x_min"]

pages/2_Scenario_Planner.py

@@ -2021,10 +2021,12 @@ if auth_status == True:
 
                 # # # print(st.session_state["acutual_predicted"])
                 summary_df = pd.DataFrame(st.session_state["acutual_predicted"])
+                # (pd.DataFrame(st.session_state["acutual_predicted"])).to_excel("test.xlsx")
                 # st.dataframe(summary_df)
                 summary_df.drop_duplicates(subset="Channel_name", keep="last", inplace=True)
                 # st.dataframe(summary_df)
 
+                
                 summary_df_sorted = summary_df.sort_values(by="Delta", ascending=False)
                 summary_df_sorted["Delta_percent"] = np.round(
                     ((summary_df_sorted["Optimized_spend"] / summary_df_sorted["Actual_spend"]) - 1)
@@ -2039,7 +2041,12 @@ if auth_status == True:
                 a = (summary_df_sorted[summary_df_sorted['Channel_name']== col]).reset_index()['new_efficiency'][0]
                 b = (summary_df_sorted[summary_df_sorted['Channel_name']== col]).reset_index()['old_efficiency'][0]
                 # st.write(a)
-
+                # print(a)
+                # print(summary_df_sorted['Actual_spend'].sum())
+                # print(summary_df_sorted['Actual_spend'])
+                print(col,summary_df_sorted)
+                # print(summary_df_sorted['Old_sales'])
+                # print(col, "old efficiency ", a)
                 with bin_placeholder:
                     if a> 1:
                         fill_color_box = "#6bbf6b"

summary_df.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:71a736a80f9a2bced376348b2f786664c5dab270c2c8993593b71919a237acc9
+oid sha256:16cb01cccc8774b520c65b86e55e6f5d11f5e6b990fc3da7e81ae205af85b1ee
 size 1822