Update app.py

app.py

@@ -1,17 +1,6 @@
-import pulp
 import numpy as np
 import pandas as pd
-import random
-import sys
-import openpyxl
-import re
-import time
 import streamlit as st
-import matplotlib
-from  matplotlib.colors import LinearSegmentedColormap
-from st_aggrid import GridOptionsBuilder, AgGrid, GridUpdateMode, DataReturnMode
-import json
-import requests
 import gspread
 import plotly.express as px
 
@@ -63,12 +52,8 @@ def player_stat_table():
 @st.cache_data
 def player_prop_table():
     sh = gc.open_by_url(master_hold)
-    worksheet = sh.worksheet('prop_frame')
-    raw_display = pd.DataFrame(worksheet.get_all_records())
-    raw_display.replace('', np.nan, inplace=True)
-    raw_display = raw_display.dropna()
-
-    return raw_display
+    worksheet = sh.worksheet('DK_ROO')
+    raw_display = worksheet.acell('U2').value
 
     return raw_display
 
@@ -76,8 +61,8 @@ game_model = game_betting_model()
 overall_stats = player_stat_table()
 qb_stats = overall_stats.loc[overall_stats['Position'] == 'QB']
 non_qb_stats = overall_stats.loc[overall_stats['Position'] != 'QB']
-prop_frame = player_prop_table()
-t_stamp = f"Last Update: " + str(prop_frame['timestamp'][0]) + f" CST"
+timestamp = player_prop_table()
+t_stamp = f"Last Update: " + str(timestamp) + f" CST"
 
 tab1, tab2, tab3, tab4, tab5 = st.tabs(["Game Betting Model", "QB Projections", "RB/WR/TE Projections", "Player Prop Simulations", "Stat Specific Simulations"])