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Update app.py
Browse files
app.py
CHANGED
@@ -263,28 +263,28 @@ def get_correlated_portfolio_for_sim(Total_Sample_Size):
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# st.table(RandomPortfolioDF.head(50))
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if insert_port == 1:
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-
CleanPortfolio['Salary'] = sum([CleanPortfolio['CPT'].map(
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CleanPortfolio['FLEX1'].map(
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CleanPortfolio['FLEX2'].map(
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CleanPortfolio['FLEX3'].map(
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CleanPortfolio['FLEX4'].map(
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CleanPortfolio['FLEX5'].map(
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]).astype(np.int16)
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if insert_port == 1:
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-
CleanPortfolio['Projection'] = sum([CleanPortfolio['CPT'].map(
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CleanPortfolio['FLEX1'].map(
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CleanPortfolio['FLEX2'].map(
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CleanPortfolio['FLEX3'].map(
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CleanPortfolio['FLEX4'].map(
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CleanPortfolio['FLEX5'].map(
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]).astype(np.float16)
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if insert_port == 1:
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CleanPortfolio['Own'] = sum([CleanPortfolio['CPT'].map(
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CleanPortfolio['FLEX1'].map(
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CleanPortfolio['FLEX2'].map(
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CleanPortfolio['FLEX3'].map(
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CleanPortfolio['FLEX4'].map(
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CleanPortfolio['FLEX5'].map(
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]).astype(np.float16)
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if site_var1 == 'Draftkings':
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@@ -362,28 +362,28 @@ def get_uncorrelated_portfolio_for_sim(Total_Sample_Size):
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# st.table(RandomPortfolioDF.head(50))
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if insert_port == 1:
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-
CleanPortfolio['Salary'] = sum([CleanPortfolio['CPT'].map(
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CleanPortfolio['FLEX1'].map(
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CleanPortfolio['FLEX2'].map(
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CleanPortfolio['FLEX3'].map(
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-
CleanPortfolio['FLEX4'].map(
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-
CleanPortfolio['FLEX5'].map(
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]).astype(np.int16)
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if insert_port == 1:
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-
CleanPortfolio['Projection'] = sum([CleanPortfolio['CPT'].map(
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CleanPortfolio['FLEX1'].map(
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CleanPortfolio['FLEX2'].map(
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-
CleanPortfolio['FLEX3'].map(
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-
CleanPortfolio['FLEX4'].map(
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-
CleanPortfolio['FLEX5'].map(
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]).astype(np.float16)
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if insert_port == 1:
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-
CleanPortfolio['Own'] = sum([CleanPortfolio['CPT'].map(
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CleanPortfolio['FLEX1'].map(
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-
CleanPortfolio['FLEX2'].map(
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-
CleanPortfolio['FLEX3'].map(
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-
CleanPortfolio['FLEX4'].map(
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-
CleanPortfolio['FLEX5'].map(
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]).astype(np.float16)
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if site_var1 == 'Draftkings':
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# st.table(RandomPortfolioDF.head(50))
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if insert_port == 1:
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+
CleanPortfolio['Salary'] = sum([CleanPortfolio['CPT'].map(up_dict['Salary_map']) * 1.5,
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CleanPortfolio['FLEX1'].map(up_dict['Salary_map']),
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CleanPortfolio['FLEX2'].map(up_dict['Salary_map']),
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CleanPortfolio['FLEX3'].map(up_dict['Salary_map']),
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+
CleanPortfolio['FLEX4'].map(up_dict['Salary_map']),
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+
CleanPortfolio['FLEX5'].map(up_dict['Salary_map'])
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]).astype(np.int16)
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if insert_port == 1:
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+
CleanPortfolio['Projection'] = sum([CleanPortfolio['CPT'].map(up_dict['Projection_map']) * 1.5,
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+
CleanPortfolio['FLEX1'].map(up_dict['Projection_map']),
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+
CleanPortfolio['FLEX2'].map(up_dict['Projection_map']),
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+
CleanPortfolio['FLEX3'].map(up_dict['Projection_map']),
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+
CleanPortfolio['FLEX4'].map(up_dict['Projection_map']),
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+
CleanPortfolio['FLEX5'].map(up_dict['Projection_map'])
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]).astype(np.float16)
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if insert_port == 1:
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+
CleanPortfolio['Own'] = sum([CleanPortfolio['CPT'].map(up_dict['Own_map']) / 4,
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CleanPortfolio['FLEX1'].map(up_dict['Own_map']),
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CleanPortfolio['FLEX2'].map(up_dict['Own_map']),
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CleanPortfolio['FLEX3'].map(up_dict['Own_map']),
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+
CleanPortfolio['FLEX4'].map(up_dict['Own_map']),
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+
CleanPortfolio['FLEX5'].map(up_dict['Own_map'])
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]).astype(np.float16)
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if site_var1 == 'Draftkings':
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# st.table(RandomPortfolioDF.head(50))
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if insert_port == 1:
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+
CleanPortfolio['Salary'] = sum([CleanPortfolio['CPT'].map(up_dict['Salary_map']) * 1.5,
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+
CleanPortfolio['FLEX1'].map(up_dict['Salary_map']),
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+
CleanPortfolio['FLEX2'].map(up_dict['Salary_map']),
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+
CleanPortfolio['FLEX3'].map(up_dict['Salary_map']),
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+
CleanPortfolio['FLEX4'].map(up_dict['Salary_map']),
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+
CleanPortfolio['FLEX5'].map(up_dict['Salary_map'])
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]).astype(np.int16)
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if insert_port == 1:
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+
CleanPortfolio['Projection'] = sum([CleanPortfolio['CPT'].map(up_dict['Projection_map']) * 1.5,
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+
CleanPortfolio['FLEX1'].map(up_dict['Projection_map']),
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+
CleanPortfolio['FLEX2'].map(up_dict['Projection_map']),
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+
CleanPortfolio['FLEX3'].map(up_dict['Projection_map']),
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+
CleanPortfolio['FLEX4'].map(up_dict['Projection_map']),
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+
CleanPortfolio['FLEX5'].map(up_dict['Projection_map'])
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]).astype(np.float16)
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if insert_port == 1:
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+
CleanPortfolio['Own'] = sum([CleanPortfolio['CPT'].map(up_dict['Own_map']) / 4,
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+
CleanPortfolio['FLEX1'].map(up_dict['Own_map']),
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+
CleanPortfolio['FLEX2'].map(up_dict['Own_map']),
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+
CleanPortfolio['FLEX3'].map(up_dict['Own_map']),
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+
CleanPortfolio['FLEX4'].map(up_dict['Own_map']),
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+
CleanPortfolio['FLEX5'].map(up_dict['Own_map'])
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]).astype(np.float16)
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if site_var1 == 'Draftkings':
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