Update app.py

app.py

@@ -179,45 +179,26 @@ with tab1:
                     st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 12], team_var2)]
                     st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 13], stack_var2)]
                     st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:1000], columns=column_names)
-                    if 'data_export_display' in st.session_state:
-                        time.sleep(3)
-                        st.session_state.data_export_freq = pd.DataFrame(calculate_DK_value_frequencies(st.session_state.working_seed), columns=['Player', 'Exposure'])
-                        st.session_state.data_export_freq = st.session_state.data_export_freq.sort_values(by='Exposure', ascending=False)
                 else:
                     st.session_state.working_seed = DK_seed.copy()
                     st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 12], team_var2)]
                     st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 13], stack_var2)]
                     st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:1000], columns=column_names)
-                    if 'data_export_display' in st.session_state:
-                        time.sleep(3)
-                        st.session_state.data_export_freq = pd.DataFrame(calculate_DK_value_frequencies(st.session_state.working_seed), columns=['Player', 'Exposure'])
-                        st.session_state.data_export_freq = st.session_state.data_export_freq.sort_values(by='Exposure', ascending=False)
                 
             elif site_var1 == 'Fanduel':
                 if 'working_seed' in st.session_state:
                     st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 11], team_var2)]
                     st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 12], stack_var2)]
                     st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:1000], columns=column_names)
-                    if 'data_export_display' in st.session_state:
-                        time.sleep(3)
-                        st.session_state.data_export_freq = pd.DataFrame(calculate_FD_value_frequencies(st.session_state.working_seed), columns=['Player', 'Exposure'])
-                        st.session_state.data_export_freq = st.session_state.data_export_freq.sort_values(by='Exposure', ascending=False)
                 else:
                     st.session_state.working_seed = FD_seed.copy()
                     st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 11], team_var2)]
                     st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 12], stack_var2)]
                     st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:1000], columns=column_names)
-                    if 'data_export_display' in st.session_state:
-                        time.sleep(3)
-                        st.session_state.data_export_freq = pd.DataFrame(calculate_FD_value_frequencies(st.session_state.working_seed), columns=['Player', 'Exposure'])
-                        st.session_state.data_export_freq = st.session_state.data_export_freq.sort_values(by='Exposure', ascending=False)
                 
             with st.container():
                 if 'data_export_display' in st.session_state:
                     st.table(st.session_state.data_export_display, use_container_width=True)
-            with st.container():
-                if 'data_export_freq' in st.session_state:
-                    st.table(st.session_state.data_export_freq, use_container_width=True)
             
             if st.button("Prepare data export", key='data_export'):
                 data_export = st.session_state.working_seed.copy()
@@ -255,10 +236,14 @@ with tab2:
         elif contest_var1 == 'Custom':
             Contest_Size = st.number_input("Insert contest size", value=None, placeholder="Type a number under 10,000...")
             Contest_Size = Contest_Size.astype(int)
-        strength_var1 = st.selectbox("How sharp is the field in the contest?", ('Very', 'Average', 'Not Very'))
+        strength_var1 = st.selectbox("How sharp is the field in the contest?", ('Very', 'Above Average', 'Average', 'Below Average', 'Not Very'))
         if strength_var1 == 'Not Very':
             sharp_split = 500000
+        elif strength_var1 == 'Below Average':
+            sharp_split = 300000
         elif strength_var1 == 'Average':
+            sharp_split = 250000
+        elif strength_var1 == 'Above Average':
             sharp_split = 100000
         elif strength_var1 == 'Very':
             sharp_split = 10000