nesticot commited on
Commit
feda28c
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1 Parent(s): 363077f

Update app.py

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Files changed (1) hide show
  1. app.py +4 -3
app.py CHANGED
@@ -768,9 +768,9 @@ def server(input, output, session):
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  { "title": "New Pitch?", "field": "new_pitch", "width": 125, "headerFilter":"input" ,"frozen":False,},
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  { "title": "Date", "field": "game_date", "width": 100, "headerFilter":"input" ,"frozen":True,},
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  { "title": "Pitches", "field": "count", "width": 100 },
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- { "title": "Pitch%", "field": "pitch_percent_formatted", "width": 100},
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- { "title": "LHH%", "field": "lhh_percent_formatted", "width": 100},
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- { "title": "RHH%", "field": "rhh_percent_formatted", "width": 100},
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  { "title": "Velocity", "field": "start_speed_formatted", "width": 100,"formatter":"textarea" },
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  { "title": "Max Velo", "field": "max_start_speed_formatted", "width": 100, "formatter":"textarea" },
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  { "title": "iVB", "field": "ivb_formatted", "width": 100,"formatter":"textarea" },
@@ -782,6 +782,7 @@ def server(input, output, session):
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  ]
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  df_merge = df_merge.filter(pl.col('count')>=int(input.pitches_daily_min()))
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  df_plot = df_merge.to_pandas()
 
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  { "title": "New Pitch?", "field": "new_pitch", "width": 125, "headerFilter":"input" ,"frozen":False,},
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  { "title": "Date", "field": "game_date", "width": 100, "headerFilter":"input" ,"frozen":True,},
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  { "title": "Pitches", "field": "count", "width": 100 },
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+ { "title": "Pitch%", "field": "pitch_percent_formatted", "width": 100,"formatter":"textarea"},
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+ { "title": "LHH%", "field": "lhh_percent_formatted", "width": 100,"formatter":"textarea"},
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+ { "title": "RHH%", "field": "rhh_percent_formatted", "width": 100,"formatter":"textarea"},
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  { "title": "Velocity", "field": "start_speed_formatted", "width": 100,"formatter":"textarea" },
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  { "title": "Max Velo", "field": "max_start_speed_formatted", "width": 100, "formatter":"textarea" },
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  { "title": "iVB", "field": "ivb_formatted", "width": 100,"formatter":"textarea" },
 
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  ]
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+
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  df_merge = df_merge.filter(pl.col('count')>=int(input.pitches_daily_min()))
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  df_plot = df_merge.to_pandas()