Spaces:
Running
Running
James McCool
commited on
Commit
·
ae5c57d
1
Parent(s):
1e3bf64
Update scoring percentages to include 'Avg_Salary' and 'Stack_Prio' columns. Introduce Stack Priority filtering in the UI for enhanced data analysis. Adjust dataframe styling for improved visual representation of ownership metrics.
Browse files
app.py
CHANGED
@@ -53,7 +53,7 @@ def init_baselines():
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cursor = collection.find()
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team_frame = pd.DataFrame(cursor)
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scoring_percentages = team_frame.drop(columns=['_id'])
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-
scoring_percentages = scoring_percentages[['Names', 'Avg First Inning', 'First Inning Lead Percentage', 'Avg Fifth Inning', 'Fifth Inning Lead Percentage', 'Avg Score', '8+ runs', 'Win Percentage',
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'DK Main Slate', 'DK Secondary Slate', 'DK Turbo Slate', 'FD Main Slate', 'FD Secondary Slate', 'FD Turbo Slate', 'DK Main Top Score', 'FD Main Top Score', 'DK Secondary Top Score', 'FD Secondary Top Score',
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'DK Turbo Top Score', 'FD Turbo Top Score']]
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scoring_percentages['8+ runs'] = scoring_percentages['8+ runs'].replace('%', '', regex=True).astype(float)
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@@ -246,7 +246,12 @@ with tab1:
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with st.expander("Info and Filters"):
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with st.container():
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slate_var1 = st.radio("Which data are you loading?", ('Main Slate', 'Secondary Slate', 'Turbo Slate'), key='slate_var1')
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-
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if site_var == 'Draftkings':
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if slate_var1 == 'Main Slate':
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@@ -324,10 +329,12 @@ with tab1:
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if view_var == "Simple":
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scoring_percentages = scoring_percentages[['Names', 'Runs', '8+ Runs', 'Win%', 'LevX', 'Own%']]
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scoring_percentages = scoring_percentages.set_index('Names', drop=True)
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st.dataframe(scoring_percentages.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(game_format, precision=2), height=750, use_container_width = True)
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elif view_var == "Advanced":
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scoring_percentages = scoring_percentages.set_index('Names', drop=True)
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st.dataframe(scoring_percentages.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(game_format, precision=2), height=750, use_container_width = True)
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with tab2:
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st.header("Player ROO")
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@@ -379,9 +386,16 @@ with tab2:
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elif slate_type_var2 == 'Showdown':
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player_roo_raw = sd_roo_data.copy()
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if site_var == 'Draftkings':
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player_roo_raw['
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elif site_var == 'Fanduel':
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player_roo_raw['
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if team_select2:
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player_roo_raw = player_roo_raw[player_roo_raw['Team'].isin(team_select2)]
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cursor = collection.find()
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team_frame = pd.DataFrame(cursor)
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scoring_percentages = team_frame.drop(columns=['_id'])
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+
scoring_percentages = scoring_percentages[['Names', 'Avg_Salary', 'Stack_Prio', 'Avg First Inning', 'First Inning Lead Percentage', 'Avg Fifth Inning', 'Fifth Inning Lead Percentage', 'Avg Score', '8+ runs', 'Win Percentage',
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'DK Main Slate', 'DK Secondary Slate', 'DK Turbo Slate', 'FD Main Slate', 'FD Secondary Slate', 'FD Turbo Slate', 'DK Main Top Score', 'FD Main Top Score', 'DK Secondary Top Score', 'FD Secondary Top Score',
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'DK Turbo Top Score', 'FD Turbo Top Score']]
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scoring_percentages['8+ runs'] = scoring_percentages['8+ runs'].replace('%', '', regex=True).astype(float)
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with st.expander("Info and Filters"):
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with st.container():
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slate_var1 = st.radio("Which data are you loading?", ('Main Slate', 'Secondary Slate', 'Turbo Slate'), key='slate_var1')
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prio_split = st.radio("Do you want to isolate a specific Stack Priority?", ('No', 'Yes'), key='prio_split')
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if prio_split == 'Yes':
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prio_var = st.radio("Which Stack Priority are you looking for?", ['OF_Prio', 'IF_Prio'], key='prio_var')
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else:
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prio_var = None
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if site_var == 'Draftkings':
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if slate_var1 == 'Main Slate':
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if view_var == "Simple":
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scoring_percentages = scoring_percentages[['Names', 'Runs', '8+ Runs', 'Win%', 'LevX', 'Own%']]
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scoring_percentages = scoring_percentages.set_index('Names', drop=True)
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st.dataframe(scoring_percentages.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').background_gradient(cmap='RdYlGn_r', subset=['Own%']).format(game_format, precision=2), height=750, use_container_width = True)
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elif view_var == "Advanced":
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if prio_var is not None:
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scoring_percentages = scoring_percentages[scoring_percentages['Stack_Prio'] == prio_var]
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scoring_percentages = scoring_percentages.set_index('Names', drop=True)
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st.dataframe(scoring_percentages.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').background_gradient(cmap='RdYlGn_r', subset=['Avg_Salary', 'Own%']).format(game_format, precision=2), height=750, use_container_width = True)
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with tab2:
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st.header("Player ROO")
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elif slate_type_var2 == 'Showdown':
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player_roo_raw = sd_roo_data.copy()
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if site_var == 'Draftkings':
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player_roo_raw['site'] = 'Draftkings'
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elif site_var == 'Fanduel':
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player_roo_raw['site'] = 'Fanduel'
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if slate_var2 == 'Main':
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player_roo_raw = player_roo_raw[player_roo_raw['slate'] == 'DK SD1']
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elif slate_var2 == 'Secondary':
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player_roo_raw = player_roo_raw[player_roo_raw['slate'] == 'DK SD2']
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elif slate_var2 == 'Auxiliary':
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player_roo_raw = player_roo_raw[player_roo_raw['slate'] == 'DK SD3']
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if team_select2:
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player_roo_raw = player_roo_raw[player_roo_raw['Team'].isin(team_select2)]
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