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Update app.py
Browse files
app.py
CHANGED
@@ -46,7 +46,7 @@ def init_DK_seed_frames():
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cursor = collection.find()
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count']]
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DK_seed = raw_display.to_numpy()
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return DK_seed
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@@ -58,7 +58,7 @@ def init_FD_seed_frames():
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cursor = collection.find()
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count']]
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FD_seed = raw_display.to_numpy()
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return FD_seed
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@@ -70,7 +70,7 @@ def init_baselines():
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worksheet = sh.worksheet('SD_Projections')
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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load_display['STDev'] = load_display['PPR'] /
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load_display = load_display.drop_duplicates(subset=['name'], keep='first')
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load_display.rename(columns={"name": "Player", 'PPR':'Median'}, inplace = True)
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@@ -79,7 +79,7 @@ def init_baselines():
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worksheet = sh.worksheet('FD_SD_Projections')
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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load_display['STDev'] = load_display['Half_PPR'] /
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load_display = load_display.drop_duplicates(subset=['name'], keep='first')
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load_display.rename(columns={"name": "Player", 'Half_PPR':'Median'}, inplace = True)
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cursor = collection.find()
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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DK_seed = raw_display.to_numpy()
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return DK_seed
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cursor = collection.find()
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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FD_seed = raw_display.to_numpy()
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return FD_seed
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worksheet = sh.worksheet('SD_Projections')
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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load_display['STDev'] = load_display['PPR'] / 4
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load_display = load_display.drop_duplicates(subset=['name'], keep='first')
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load_display.rename(columns={"name": "Player", 'PPR':'Median'}, inplace = True)
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worksheet = sh.worksheet('FD_SD_Projections')
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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load_display['STDev'] = load_display['Half_PPR'] / 4
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load_display = load_display.drop_duplicates(subset=['name'], keep='first')
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load_display.rename(columns={"name": "Player", 'Half_PPR':'Median'}, inplace = True)
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