James McCool
commited on
Commit
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467e91f
1
Parent(s):
94323a4
Enhance app.py to calculate 'salary' for CPT projections in NFL. Added a new calculation for 'salary' by dividing 'Salary' by 1.5, improving the accuracy of player salary projections based on sport selection.
Browse files
app.py
CHANGED
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@@ -239,6 +239,7 @@ with tab2:
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| 239 |
export_baselines['CPT_Salary'] = export_baselines['Salary'] * 1.5
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| 240 |
elif sport_var1 == 'NFL':
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| 241 |
export_baselines['CPT_Salary'] = export_baselines['Salary']
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export_baselines['ID'] = export_baselines['player_id']
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| 243 |
display_baselines = ownframe[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'CPT_Own']]
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display_baselines = display_baselines.sort_values(by='Median', ascending=False)
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| 239 |
export_baselines['CPT_Salary'] = export_baselines['Salary'] * 1.5
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| 240 |
elif sport_var1 == 'NFL':
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export_baselines['CPT_Salary'] = export_baselines['Salary']
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| 242 |
+
export_baselines['salary'] = export_baselines['Salary'] / 1.5
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export_baselines['ID'] = export_baselines['player_id']
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display_baselines = ownframe[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'CPT_Own']]
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display_baselines = display_baselines.sort_values(by='Median', ascending=False)
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