Update app.py

app.py

@@ -93,10 +93,10 @@ def calculate_FD_value_frequencies(np_array):
     return combined_array
 
 @st.cache_data
-def sim_contest(Sim_size, seed_frame, maps_dict):
+def sim_contest(Sim_size, seed_frame, maps_dict, sharp_split, Contest_Size):
     SimVar = 1
     Sim_Winners = []
-    fp_array = seed_frame
+    fp_array = seed_frame[:sharp_split, :]
     
     # Pre-vectorize functions
     vec_projection_map = np.vectorize(maps_dict['Projection_map'].__getitem__)
@@ -105,7 +105,7 @@ def sim_contest(Sim_size, seed_frame, maps_dict):
     st.write('Simulating contest on frames')
     
     while SimVar <= Sim_size:
-        fp_random = fp_array[np.random.choice(fp_array.shape[0], 1000)]
+        fp_random = fp_array[np.random.choice(fp_array.shape[0], Contest_Size)]
             
         sample_arrays1 = np.c_[
             fp_random, 
@@ -234,13 +234,13 @@ with tab2:
             Contest_Size = 10000
         elif contest_var1 == 'Massive':
             Contest_Size = 100000
-        strength_var1 = st.selectbox("How sharp is the field in the contest?", ('Not Very', 'Average', 'Very'))
+        strength_var1 = st.selectbox("How sharp is the field in the contest?", ('Very', 'Average', 'Not Very'))
         if strength_var1 == 'Not Very':
-            sharp_split = [400000,100000] 
+            sharp_split = 500000
         elif strength_var1 == 'Average':
-            sharp_split = [500000,200000]
+            sharp_split = 250000
         elif strength_var1 == 'Very':
-            sharp_split = [500000,300000]
+            sharp_split = 100000
 
     
     with col2:
@@ -302,7 +302,7 @@ with tab2:
                         'STDev_map':dict(zip(raw_baselines.Player,raw_baselines.STDev)),
                         'team_check_map':dict(zip(raw_baselines.Player,raw_baselines.Team))
                         }
-                Sim_Winners = sim_contest(500, st.session_state.working_seed, maps_dict)
+                Sim_Winners = sim_contest(1000, st.session_state.working_seed, maps_dict, sharp_split, Contest_Size)
                 Sim_Winner_Frame = pd.DataFrame(np.concatenate(Sim_Winners))
                 
                 #st.table(Sim_Winner_Frame)