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Update app.py
Browse files
app.py
CHANGED
@@ -233,54 +233,44 @@ with col1:
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elif split_var1 == 'Full Slate Run':
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team_var1 = hitter_stats.Team.values.tolist()
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TA_table = True_AVG_Splits_load()
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HWS_table = HWSr_Splits_load()
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SP_slate_table = SP_Slate_Stats_load()
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RHH_table = RHH_load()
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LHH_table = LHH_load()
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Full_stats_table = Full_Stats_load()
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Full_RHH_table = Full_RHH_load()
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Full_LHH_table = Full_LHH_load()
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Bullpen_table = Bullpen_Data_load()
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-
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with col2:
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if stat_type_var1 == 'Pitchers':
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if stat_var1 == 'True AVG Splits':
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pitcher_stats =
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pitcher_stats = pitcher_stats[pitcher_stats['Team'].isin(sp_var1)]
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pitcher_stats = pitcher_stats.set_index('Player')
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn_r').format(precision=3), use_container_width = True)
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if stat_var1 == 'HWSr Splits':
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pitcher_stats =
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pitcher_stats = pitcher_stats[pitcher_stats['Team'].isin(sp_var1)]
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pitcher_stats = pitcher_stats.set_index('Player')
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn_r').format(precision=3), use_container_width = True)
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elif stat_var1 == 'Current Slate Stats':
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pitcher_stats =
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pitcher_stats = pitcher_stats[pitcher_stats['Team'].isin(sp_var1)]
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pitcher_stats = pitcher_stats.set_index('Player')
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn_r').background_gradient(cmap='RdYlGn', subset='K%').format(SP_format, precision=2), use_container_width = True)
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elif stat_var1 == 'Stats vs. RHH':
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pitcher_stats =
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pitcher_stats = pitcher_stats[pitcher_stats['Team'].isin(sp_var1)]
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pitcher_stats = pitcher_stats.set_index('Names')
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn_r', subset=['Opp RHH', 'Salary', 'BB%', 'True AVG', 'xSLG', 'xBA', 'Hits', 'Homeruns', 'xHRs']).background_gradient(cmap='RdYlGn', subset='K%').format(SP_format, precision=2), use_container_width = True)
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elif stat_var1 == 'Stats vs. LHH':
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pitcher_stats =
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pitcher_stats = pitcher_stats[pitcher_stats['Team'].isin(sp_var1)]
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pitcher_stats = pitcher_stats.set_index('Names')
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn_r', subset=['Opp LHH', 'Salary', 'BB%', 'True AVG', 'xSLG', 'xBA', 'Hits', 'Homeruns', 'xHRs']).background_gradient(cmap='RdYlGn', subset='K%').format(SP_format, precision=2), use_container_width = True)
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elif stat_var1 == 'Full League Stats':
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pitcher_stats =
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn_r').background_gradient(cmap='RdYlGn', subset=['Strikeoutper', 'Strikeouts', 'PA']).format(precision=0).format(precision=3, subset = SP_league_format), use_container_width = True)
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elif stat_var1 == 'Full League Stats vs. RHH':
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pitcher_stats =
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn_r').background_gradient(cmap='RdYlGn', subset=['Strikeoutper', 'Strikeouts', 'PA']).format(precision=0).format(precision=3, subset = SP_league_format), use_container_width = True)
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elif stat_var1 == 'Full League Stats vs. LHH':
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pitcher_stats =
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn_r').background_gradient(cmap='RdYlGn', subset=['Strikeoutper', 'Strikeouts', 'PA']).format(precision=0).format(precision=3, subset = SP_league_format), use_container_width = True)
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elif stat_var1 == 'Bullpen Data':
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pitcher_stats =
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pitcher_stats = pitcher_stats[pitcher_stats['Names'].isin(sp_var1)]
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pitcher_stats = pitcher_stats.set_index('Names')
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn_r').background_gradient(cmap='RdYlGn', subset=['Strikeoutper', 'Strikeouts', 'PA']).format(precision=0).format(precision=3, subset = BP_league_format), use_container_width = True)
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elif split_var1 == 'Full Slate Run':
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team_var1 = hitter_stats.Team.values.tolist()
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with col2:
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if stat_type_var1 == 'Pitchers':
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if stat_var1 == 'True AVG Splits':
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pitcher_stats = True_AVG_Splits_load()
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pitcher_stats = pitcher_stats[pitcher_stats['Team'].isin(sp_var1)]
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pitcher_stats = pitcher_stats.set_index('Player')
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn_r').format(precision=3), use_container_width = True)
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if stat_var1 == 'HWSr Splits':
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pitcher_stats = HWSr_Splits_load()
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pitcher_stats = pitcher_stats[pitcher_stats['Team'].isin(sp_var1)]
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pitcher_stats = pitcher_stats.set_index('Player')
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn_r').format(precision=3), use_container_width = True)
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elif stat_var1 == 'Current Slate Stats':
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pitcher_stats = SP_Slate_Stats_load()
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pitcher_stats = pitcher_stats[pitcher_stats['Team'].isin(sp_var1)]
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pitcher_stats = pitcher_stats.set_index('Player')
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap = 'RdYlGn_r').background_gradient(cmap='RdYlGn', subset='K%').format(SP_format, precision=2), use_container_width = True)
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elif stat_var1 == 'Stats vs. RHH':
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pitcher_stats = RHH_load()
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pitcher_stats = pitcher_stats[pitcher_stats['Team'].isin(sp_var1)]
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pitcher_stats = pitcher_stats.set_index('Names')
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn_r', subset=['Opp RHH', 'Salary', 'BB%', 'True AVG', 'xSLG', 'xBA', 'Hits', 'Homeruns', 'xHRs']).background_gradient(cmap='RdYlGn', subset='K%').format(SP_format, precision=2), use_container_width = True)
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elif stat_var1 == 'Stats vs. LHH':
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pitcher_stats = LHH_load()
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pitcher_stats = pitcher_stats[pitcher_stats['Team'].isin(sp_var1)]
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pitcher_stats = pitcher_stats.set_index('Names')
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn_r', subset=['Opp LHH', 'Salary', 'BB%', 'True AVG', 'xSLG', 'xBA', 'Hits', 'Homeruns', 'xHRs']).background_gradient(cmap='RdYlGn', subset='K%').format(SP_format, precision=2), use_container_width = True)
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elif stat_var1 == 'Full League Stats':
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pitcher_stats = Full_Stats_load()
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn_r').background_gradient(cmap='RdYlGn', subset=['Strikeoutper', 'Strikeouts', 'PA']).format(precision=0).format(precision=3, subset = SP_league_format), use_container_width = True)
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elif stat_var1 == 'Full League Stats vs. RHH':
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pitcher_stats = Full_RHH_load()
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn_r').background_gradient(cmap='RdYlGn', subset=['Strikeoutper', 'Strikeouts', 'PA']).format(precision=0).format(precision=3, subset = SP_league_format), use_container_width = True)
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elif stat_var1 == 'Full League Stats vs. LHH':
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pitcher_stats = Full_LHH_load()
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn_r').background_gradient(cmap='RdYlGn', subset=['Strikeoutper', 'Strikeouts', 'PA']).format(precision=0).format(precision=3, subset = SP_league_format), use_container_width = True)
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elif stat_var1 == 'Bullpen Data':
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pitcher_stats = Bullpen_Data_load()
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pitcher_stats = pitcher_stats[pitcher_stats['Names'].isin(sp_var1)]
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pitcher_stats = pitcher_stats.set_index('Names')
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st.dataframe(pitcher_stats.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn_r').background_gradient(cmap='RdYlGn', subset=['Strikeoutper', 'Strikeouts', 'PA']).format(precision=0).format(precision=3, subset = BP_league_format), use_container_width = True)
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