test4

pages/8_Scenario_Planner.py

@@ -22,7 +22,7 @@ from yaml import SafeLoader
 import re
 import pandas as pd
 import plotly.express as px
-# import response_curves_model_quality as rc
+import response_curves_model_quality as rc
 
 st.set_page_config(layout="wide")
 load_local_css("styles.css")
@@ -702,12 +702,13 @@ def name_formating(channel_name):
 def panel_fetch(file_selected):
     raw_data_mmm_df = pd.read_excel(file_selected, sheet_name="RAW DATA MMM")
 
-    if "Panel" in raw_data_mmm_df.columns:
-        panel = list(set(raw_data_mmm_df["Panel"]))
-    else:
-        raw_data_mmm_df = None
-        panel = None
-
+    # if "Panel" in raw_data_mmm_df.columns:
+    #     panel = list(set(raw_data_mmm_df["Panel"]))
+    # else:
+    #     raw_data_mmm_df = None
+    #     panel = None
+    # raw_data_mmm_df = None
+    panel = None
     return panel
 
 
@@ -1439,10 +1440,10 @@ if auth_status == True:
                     unsafe_allow_html=True,
                 )
 
-    # with st.expander("See Response Curves", expanded=True):
-    #     fig = plot_response_curves(summary_df_sorted)
-    #     # st.plotly_chart(rc.response_curves(col))
-    #     # st.plotly_chart(fig, use_container_width=True)
+    with st.expander("See Response Curves", expanded=True):
+        fig = plot_response_curves(summary_df_sorted)
+        # st.plotly_chart(rc.response_curves(col))
+        # st.plotly_chart(fig, use_container_width=True)
 
     summary_df = pd.DataFrame(st.session_state["acutual_predicted"])
     # st.dataframe(summary_df)