Update app.py

app.py

@@ -2,6 +2,7 @@ import streamlit as st
 import numpy as np
 import pandas as pd
 import gspread
+import plotly_express as px
 st.set_page_config(layout="wide")
 
 @st.cache_resource
@@ -62,8 +63,7 @@ non_qb_stats = overall_stats.loc[overall_stats['Position'] != 'QB']
 team_dict = dict(zip(prop_frame['Player'], prop_frame['Team']))
 t_stamp = f"Last Update: " + str(timestamp) + f" CST"
 
-all_sim_vars = ['pass_yards', 'rush_yards', 'rec_yards', 'receptions', 'rush_attempts',
-                                                                'pass_attempts', 'pass_completions']
+all_sim_vars = ['pass_yards', 'rush_yards', 'rec_yards', 'receptions', 'rush_attempts']
 sim_all_hold = pd.DataFrame(columns=['Player', 'Team', 'Prop type', 'Prop', 'Mean_Outcome', 'Imp Over', 'Over%', 'Imp Under', 'Under%', 'Bet?', 'Edge'])
 
 tab1, tab2, tab3, tab4, tab5 = st.tabs(["Game Betting Model", "QB Projections", "RB/WR/TE Projections", "Player Prop Simulations", "Stat Specific Simulations"])
@@ -316,8 +316,7 @@ with tab5:
         export_container = st.empty()
     
     with col1:
-        prop_type_var = st.selectbox('Select prop category', options = ['All Props', 'pass_yards', 'rush_yards', 'rec_yards', 'receptions', 'rush_attempts',
-                                                                        'pass_attempts', 'pass_completions'])
+        prop_type_var = st.selectbox('Select prop category', options = ['All Props', 'pass_yards', 'rush_yards', 'rec_yards', 'receptions', 'rush_attempts'])
 
         if st.button('Simulate Prop Category'):
             with col2:
@@ -351,7 +350,11 @@ with tab5:
                                 elif prop_type_var == "rec_yards":
                                     df['Median'] = df['rec_yards']
                                 elif prop_type_var == "receptions":
-                                    df['Median'] = df['receptions']
+                                    df['Median'] = df['rec']
+                                elif prop_type_var == "receptions":
+                                    df['Median'] = df['rec']
+                                elif prop_type_var == "rush_attempts":
+                                    df['Median'] = df['rush_att']
         
                                 flex_file = df
                                 flex_file['Floor'] = flex_file['Median'] * .20
@@ -488,7 +491,7 @@ with tab5:
                             over_dict = dict(zip(df.Player, df.Over))
                             under_dict = dict(zip(df.Player, df.Under))
                             
-                            total_sims = 1000
+                            total_sims = 5000
     
                             df.replace("", 0, inplace=True)
     
@@ -499,7 +502,11 @@ with tab5:
                             elif prop_type_var == "rec_yards":
                                 df['Median'] = df['rec_yards']
                             elif prop_type_var == "receptions":
-                                df['Median'] = df['receptions']
+                                df['Median'] = df['rec']
+                            elif prop_type_var == "receptions":
+                                df['Median'] = df['rec']
+                            elif prop_type_var == "rush_attempts":
+                                df['Median'] = df['rush_att']
     
                             flex_file = df
                             flex_file['Floor'] = flex_file['Median'] * .20