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Sleeping
Commit ·
f3b063f
1
Parent(s): 08ad32f
White Background T-SNE Plot
Browse files
app.py
CHANGED
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@@ -1547,9 +1547,10 @@ def run_model(model_name):
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df_heatmap['x'], df_heatmap['y'], df_heatmap[selected_feature],
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statistic='mean', bins=[x_bins, y_bins]
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)
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-
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-
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-
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cmap = plt.get_cmap("RdYlGn")
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red_green_palette = [mcolors.rgb2hex(cmap(i)) for i in np.linspace(0, 1, 256)]
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@@ -1559,17 +1560,16 @@ def run_model(model_name):
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palette=red_green_palette,
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low=0,
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high=1,
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-
nan_color=
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)
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else:
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color_mapper = LinearColorMapper(
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palette="Viridis256",
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low=np.nanmin(heatmap_data),
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high=np.nanmax(heatmap_data),
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-
nan_color=
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)
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-
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# Figura heatmap
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heatmap_fig = figure(title=f"Heatmap de '{selected_feature}' ({x_comp} vs {y_comp})",
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df_heatmap['x'], df_heatmap['y'], df_heatmap[selected_feature],
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statistic='mean', bins=[x_bins, y_bins]
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)
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+
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+
# Mantener NaN para celdas vacías
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+
heatmap_data = heat_stat.T
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+
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cmap = plt.get_cmap("RdYlGn")
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red_green_palette = [mcolors.rgb2hex(cmap(i)) for i in np.linspace(0, 1, 256)]
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palette=red_green_palette,
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low=0,
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high=1,
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nan_color="white"
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)
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else:
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color_mapper = LinearColorMapper(
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palette="Viridis256",
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low=np.nanmin(heatmap_data),
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high=np.nanmax(heatmap_data),
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+
nan_color="white"
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)
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# Figura heatmap
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heatmap_fig = figure(title=f"Heatmap de '{selected_feature}' ({x_comp} vs {y_comp})",
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