James McCool
commited on
Commit
·
5abfd03
1
Parent(s):
abd1ae1
Remove table display of salary and cleaned contest data in app.py and load_contest_file.py for a cleaner user interface. This change streamlines the data presentation by eliminating unnecessary table outputs while maintaining existing functionality.
Browse files- app.py +0 -2
- global_func/load_contest_file.py +0 -2
app.py
CHANGED
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@@ -147,8 +147,6 @@ with tab1:
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st.session_state['salary_dict'] = dict(zip(st.session_state['salary_df']['Player'], st.session_state['salary_df']['Salary']))
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st.session_state['team_dict'] = dict(zip(st.session_state['team_df']['Player'], st.session_state['team_df']['Team']))
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st.session_state['pos_dict'] = dict(zip(st.session_state['pos_df']['Player'], st.session_state['pos_df']['Pos']))
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st.table(st.session_state['salary_dict'])
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with tab2:
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excluded_cols = ['BaseName', 'EntryCount']
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st.session_state['salary_dict'] = dict(zip(st.session_state['salary_df']['Player'], st.session_state['salary_df']['Salary']))
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st.session_state['team_dict'] = dict(zip(st.session_state['team_df']['Player'], st.session_state['team_df']['Team']))
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st.session_state['pos_dict'] = dict(zip(st.session_state['pos_df']['Player'], st.session_state['pos_df']['Pos']))
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with tab2:
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excluded_cols = ['BaseName', 'EntryCount']
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global_func/load_contest_file.py
CHANGED
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@@ -128,7 +128,6 @@ def load_contest_file(upload, type, helper = None, sport = None):
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cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'Guy', 'Dude', 'Pooba', 'Bub', 'Chief', 'Buddy']]
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elif sport == 'GOLF':
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cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'Guy', 'Dude', 'Pooba', 'Bub', 'Chief', 'Buddy']]
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st.table(cleaned_df.head(10))
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elif type == 'Showdown':
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cleaned_df['Lineup'] = cleaned_df['Lineup'].replace([' UTIL ', 'CPT '], value=',', regex=True)
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print(type)
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@@ -138,7 +137,6 @@ def load_contest_file(upload, type, helper = None, sport = None):
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entry_counts = cleaned_df['BaseName'].value_counts()
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cleaned_df['EntryCount'] = cleaned_df['BaseName'].map(entry_counts)
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cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'CPT', 'UTIL1', 'UTIL2', 'UTIL3', 'UTIL4', 'UTIL5']]
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st.table(cleaned_df.head(10))
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print('Made it through check_lineups')
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cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'Guy', 'Dude', 'Pooba', 'Bub', 'Chief', 'Buddy']]
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elif sport == 'GOLF':
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cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'Guy', 'Dude', 'Pooba', 'Bub', 'Chief', 'Buddy']]
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elif type == 'Showdown':
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cleaned_df['Lineup'] = cleaned_df['Lineup'].replace([' UTIL ', 'CPT '], value=',', regex=True)
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print(type)
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entry_counts = cleaned_df['BaseName'].value_counts()
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cleaned_df['EntryCount'] = cleaned_df['BaseName'].map(entry_counts)
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cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'CPT', 'UTIL1', 'UTIL2', 'UTIL3', 'UTIL4', 'UTIL5']]
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print('Made it through check_lineups')
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