Had to change the variable from median to ceiling to match Optimals.

database_queries.py

@@ -2066,13 +2066,13 @@ def init_nascar_baselines(type_var: str, site_var: str, slate_var: str):
         cursor = collection.find()
 
         raw_display = pd.DataFrame(list(cursor))
-        raw_display = raw_display[['Player', 'Position', 'Grid', 'Salary', 'Median', 'Own', 'CPT_Own', 'player_id', 'slate', 'site', 'version']]
+        raw_display = raw_display[['Player', 'Position', 'Grid', 'Salary', 'Ceiling', 'Own', 'CPT_Own', 'player_id', 'slate', 'site', 'version']]
         raw_display['Team'] = 'NASCAR'
-        raw_display['Median'] = raw_display['Median'].replace('', 0).astype(float)
+        raw_display['Ceiling'] = raw_display['Ceiling'].replace('', 0).astype(float)
         raw_display = raw_display.rename(columns={"player_id": "player_ID"})
-        raw_display = raw_display.loc[raw_display['Median'] > 0]
+        raw_display = raw_display.loc[raw_display['Ceiling'] > 0]
         raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
-        sd_raw = raw_display.sort_values(by='Median', ascending=False)
+        sd_raw = raw_display.sort_values(by='Ceiling', ascending=False)
         dk_sd_roo_raw = sd_raw[sd_raw['site'] == 'Draftkings']
         dk_sd_id_map = dict(zip(dk_sd_roo_raw['Player'], dk_sd_roo_raw['player_ID']))
         fd_sd_roo_raw = sd_raw[sd_raw['site'] == 'Fanduel']
@@ -2085,8 +2085,8 @@ def init_nascar_baselines(type_var: str, site_var: str, slate_var: str):
         dk_sd_roo_raw = dk_sd_roo_raw.drop(columns=['player_ID', 'slate', 'version', 'site', 'Grid'])
         fd_sd_roo_raw = fd_sd_roo_raw.drop(columns=['player_ID', 'slate', 'version', 'site', 'Grid'])
 
-        dk_sd_roo_raw = dk_sd_roo_raw.rename(columns={'Player': 'player_names', 'Position': 'position', 'Team': 'team', 'Salary': 'salary', 'Median': 'median', 'Own': 'ownership', 'CPT_Own': 'captain ownership'})
-        fd_sd_roo_raw = fd_sd_roo_raw.rename(columns={'Player': 'player_names', 'Position': 'position', 'Team': 'team', 'Salary': 'salary', 'Median': 'median', 'Own': 'ownership', 'CPT_Own': 'captain ownership'})
+        dk_sd_roo_raw = dk_sd_roo_raw.rename(columns={'Player': 'player_names', 'Position': 'position', 'Team': 'team', 'Salary': 'salary', 'Ceiling': 'median', 'Own': 'ownership', 'CPT_Own': 'captain ownership'})
+        fd_sd_roo_raw = fd_sd_roo_raw.rename(columns={'Player': 'player_names', 'Position': 'position', 'Team': 'team', 'Salary': 'salary', 'Ceiling': 'median', 'Own': 'ownership', 'CPT_Own': 'captain ownership'})
 
         dk_roo_raw = None
         fd_roo_raw = None
@@ -2099,12 +2099,12 @@ def init_nascar_baselines(type_var: str, site_var: str, slate_var: str):
 
         raw_display = pd.DataFrame(list(cursor))
         raw_display = raw_display[raw_display['slate'] == slate_var]
-        raw_display = raw_display[['Player', 'Position', 'Grid', 'Salary', 'Median', 'Own', 'CPT_Own', 'player_id']]
+        raw_display = raw_display[['Player', 'Position', 'Grid', 'Salary', 'Ceiling', 'Own', 'CPT_Own', 'player_id']]
         raw_display['Team'] = 'NASCAR'
         raw_display['Site'] = site_var
         raw_display = raw_display.rename(columns={"player_id": "player_ID"})
-        raw_display['Median'] = raw_display['Median'].replace('', 0).astype(float)
-        raw_display = raw_display.loc[raw_display['Median'] > 0]
+        raw_display['Ceiling'] = raw_display['Ceiling'].replace('', 0).astype(float)
+        raw_display = raw_display.loc[raw_display['Ceiling'] > 0]
         dk_roo_raw = raw_display[raw_display['Site'] == 'Draftkings']
         fd_roo_raw = raw_display[raw_display['Site'] == 'Draftkings']
         dk_id_map = dict(zip(dk_roo_raw['Player'], dk_roo_raw['player_ID']))
@@ -2116,8 +2116,8 @@ def init_nascar_baselines(type_var: str, site_var: str, slate_var: str):
         dk_roo_raw = dk_roo_raw.drop(columns=['player_ID', 'Grid'])
         fd_roo_raw = fd_roo_raw.drop(columns=['player_ID', 'Grid'])
 
-        dk_roo_raw = dk_roo_raw.rename(columns={'Player': 'player_names', 'Position': 'position', 'Team': 'team', 'Salary': 'salary', 'Median': 'median', 'Own': 'ownership', 'CPT_Own': 'captain ownership'})
-        fd_roo_raw = fd_roo_raw.rename(columns={'Player': 'player_names', 'Position': 'position', 'Team': 'team', 'Salary': 'salary', 'Median': 'median', 'Own': 'ownership', 'CPT_Own': 'captain ownership'})
+        dk_roo_raw = dk_roo_raw.rename(columns={'Player': 'player_names', 'Position': 'position', 'Team': 'team', 'Salary': 'salary', 'Ceiling': 'median', 'Own': 'ownership', 'CPT_Own': 'captain ownership'})
+        fd_roo_raw = fd_roo_raw.rename(columns={'Player': 'player_names', 'Position': 'position', 'Team': 'team', 'Salary': 'salary', 'Ceiling': 'median', 'Own': 'ownership', 'CPT_Own': 'captain ownership'})
 
         dk_sd_roo_raw = None
         fd_sd_roo_raw = None