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nesticot commited on
Commit
7b3ba2f
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1 Parent(s): e9bd963

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -575,7 +575,7 @@ def server(input, output, session):
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  if df_combined_t.values[[10],[1]] < 0:
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  if df_combined_t.values[[10],[0]] < 0:
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- if df_combined_t.values[[10],[1]] < 0
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  cmap_flip = matplotlib.colors.LinearSegmentedColormap.from_list("", ["#FBBC04","white","#4285F4"])
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  norm = Normalize(vmin=-1.2, vmax=-0.8)
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  colour_df[[10],[0]] = tuple(cmap_flip(norm(df_combined_t.values[[10],[0]] / df_combined_t.values[[10],[1]])))
@@ -590,7 +590,7 @@ def server(input, output, session):
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  if df_combined_t.values[[10],[2]] < 0:
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  if df_combined_t.values[[10],[1]] < 0:
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- if df_combined_t.values[[10],[1]] < 0
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  cmap_flip = matplotlib.colors.LinearSegmentedColormap.from_list("", ["#FBBC04","white","#4285F4"])
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  norm = Normalize(vmin=-1.2, vmax=-0.8)
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  colour_df[[10],[0]] = tuple(cmap_flip(norm(df_combined_t.values[[10],[1]] / df_combined_t.values[[10],[2]])))
 
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  if df_combined_t.values[[10],[1]] < 0:
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  if df_combined_t.values[[10],[0]] < 0:
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+ if df_combined_t.values[[10],[1]] < 0:
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  cmap_flip = matplotlib.colors.LinearSegmentedColormap.from_list("", ["#FBBC04","white","#4285F4"])
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  norm = Normalize(vmin=-1.2, vmax=-0.8)
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  colour_df[[10],[0]] = tuple(cmap_flip(norm(df_combined_t.values[[10],[0]] / df_combined_t.values[[10],[1]])))
 
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  if df_combined_t.values[[10],[2]] < 0:
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  if df_combined_t.values[[10],[1]] < 0:
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+ if df_combined_t.values[[10],[1]] < 0:
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  cmap_flip = matplotlib.colors.LinearSegmentedColormap.from_list("", ["#FBBC04","white","#4285F4"])
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  norm = Normalize(vmin=-1.2, vmax=-0.8)
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  colour_df[[10],[0]] = tuple(cmap_flip(norm(df_combined_t.values[[10],[1]] / df_combined_t.values[[10],[2]])))