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Running
James McCool
commited on
Commit
·
c2f15fd
1
Parent(s):
0d57fec
Enhance app.py by adding name mapping functionality in DK seed frame initialization. This update retrieves player names from the database and maps them to the corresponding columns in the output DataFrame, improving data visibility and accuracy during contest simulations.
Browse files
app.py
CHANGED
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@@ -22,25 +22,43 @@ dk_columns = ['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'sal
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fd_columns = ['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']
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@st.cache_data(ttl = 600)
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def init_DK_seed_frames(sharp_split):
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collection = db["DK_NFL_seed_frame"]
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cursor = collection.find().limit(sharp_split)
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', '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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@st.cache_data(ttl = 600)
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def init_DK_Secondary_seed_frames(sharp_split):
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collection = db["DK_NFL_Secondary_seed_frame"]
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cursor = collection.find().limit(sharp_split)
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', '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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fd_columns = ['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']
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@st.cache_data(ttl = 600)
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def init_DK_seed_frames(sharp_split):
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collection = db['DK_NFL_name_map']
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cursor = collection.find()
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raw_data = pd.DataFrame(list(cursor))
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names_dict = dict(zip(raw_data['key'], raw_data['value']))
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collection = db["DK_NFL_seed_frame"]
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cursor = collection.find().limit(sharp_split)
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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dict_columns = ['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST']
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st.write("converting names")
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for col in dict_columns:
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raw_display[col] = raw_display[col].map(names_dict)
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DK_seed = raw_display.to_numpy()
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return DK_seed
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@st.cache_data(ttl = 600)
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def init_DK_Secondary_seed_frames(sharp_split):
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collection = db['DK_Secondary_NFL_name_map']
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cursor = collection.find()
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raw_data = pd.DataFrame(list(cursor))
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names_dict = dict(zip(raw_data['key'], raw_data['value']))
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collection = db["DK_NFL_Secondary_seed_frame"]
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cursor = collection.find().limit(sharp_split)
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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dict_columns = ['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST']
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st.write("converting names")
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for col in dict_columns:
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raw_display[col] = raw_display[col].map(names_dict)
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DK_seed = raw_display.to_numpy()
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return DK_seed
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