nesticot commited on
Commit
3296d9d
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1 Parent(s): 0b7112a

Update app.py

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Files changed (1) hide show
  1. app.py +13 -4
app.py CHANGED
@@ -516,9 +516,19 @@ def server(input, output, session):
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  ("rhh_percent", "rhh_percent_old"),
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  ("lhh_percent", "lhh_percent_old"),
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  ]
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-
 
 
 
 
 
 
 
 
 
 
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  # percent_cols = ['pitch_percent', 'rhh_percent', 'lhh_percent']
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-
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  # Step 2: Format the columns with (value (+diff)) - exclude brackets if diff is 80
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  df_merge = df_merge.with_columns([
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  pl.when(pl.col(new + "_diff").eq(10000)) # If diff is 80, no need to include brackets
@@ -527,7 +537,7 @@ def server(input, output, session):
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  (pl.col(new)*100).round(1).map_elements(lambda x: f"{x:.1f}%").cast(pl.Utf8) +
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  "\n(" +
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  (pl.col(new + "_diff")*100).round(1)
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- .map_elements(lambda x: f"{x:+.1f}") +
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  ")"
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  ).alias(new + "_formatted")
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  for new, _ in cols_to_subtract_percent
@@ -536,7 +546,6 @@ def server(input, output, session):
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-
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  # df_merge = df_merge.with_columns([
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  # (pl.col(col) * 100) # Convert to percentage
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  # .round(1) # Round to 1 decimal
 
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  ("rhh_percent", "rhh_percent_old"),
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  ("lhh_percent", "lhh_percent_old"),
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  ]
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+
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+
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+ df_merge = df_merge.with_columns([
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+ # Step 1: Create _diff columns with the default value (e.g., 80) if old is null
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+ pl.when(pl.col(old).is_null())
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+ .then(pl.lit(10000)) # If old is null, assign 80 as the default
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+ .otherwise(pl.col(new) - pl.col(old)) # Otherwise subtract old from new
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+ .alias(new + "_diff")
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+ for new, old in cols_to_subtract_percent
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+ ])
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+
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  # percent_cols = ['pitch_percent', 'rhh_percent', 'lhh_percent']
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+
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  # Step 2: Format the columns with (value (+diff)) - exclude brackets if diff is 80
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  df_merge = df_merge.with_columns([
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  pl.when(pl.col(new + "_diff").eq(10000)) # If diff is 80, no need to include brackets
 
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  (pl.col(new)*100).round(1).map_elements(lambda x: f"{x:.1f}%").cast(pl.Utf8) +
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  "\n(" +
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  (pl.col(new + "_diff")*100).round(1)
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+ .map_elements(lambda x: f"{x:+.1f}%") +
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  ")"
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  ).alias(new + "_formatted")
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  for new, _ in cols_to_subtract_percent
 
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  # df_merge = df_merge.with_columns([
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  # (pl.col(col) * 100) # Convert to percentage
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  # .round(1) # Round to 1 decimal