adjusting showdown references

src/sim_func_hold/showdown_functions.py

@@ -36,10 +36,10 @@ def init_SD_baselines(slate_var):
     raw_display = pd.DataFrame(list(cursor))
     raw_display = raw_display[raw_display['version'] == 'overall']
     raw_display = raw_display[['Player', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '4x%', '5x%', '6x%', 'GPP%',
-                                'Own', 'Small_Field_Own', 'Large_Field_Own', 'Cash_Field_Own', 'CPT_Own', 'LevX', 'version', 'slate', 'timestamp', 'player_id', 'site']]
+                                'Own', 'Small_Own', 'Large_Own', 'Cash_Own', 'CPT_Own', 'LevX', 'version', 'slate', 'timestamp', 'player_id', 'site']]
     raw_display = raw_display.rename(columns={'player_id': 'player_ID'})                            
-    raw_display['Small_Field_Own'] = raw_display['Large_Field_Own']
-    raw_display['small_CPT_Own_raw'] = (raw_display['Small_Field_Own'] / 2) * ((100 - (100-raw_display['Small_Field_Own']))/100)
+    raw_display['Small_Own'] = raw_display['Large_Own']
+    raw_display['small_CPT_Own_raw'] = (raw_display['Small_Own'] / 2) * ((100 - (100-raw_display['Small_Own']))/100)
     small_cpt_own_var = 300 / raw_display['small_CPT_Own_raw'].sum()
     raw_display['small_CPT_Own'] = raw_display['small_CPT_Own_raw'] * small_cpt_own_var
     raw_display['cpt_Median'] = raw_display['Median'] * 1.25