Added more colors; added values above the bars
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@ -29,7 +29,10 @@ groupings = [
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[2, 5, 8]
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[2, 5, 8]
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]
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]
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# Folder wyjściowy (opcjonalnie)
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# Kolory z palety 'tab10'
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color_palette = plt.get_cmap('tab10')
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# Folder wyjściowy
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output_folder = "plots"
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output_folder = "plots"
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os.makedirs(output_folder, exist_ok=True)
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os.makedirs(output_folder, exist_ok=True)
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@ -37,12 +40,19 @@ os.makedirs(output_folder, exist_ok=True)
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for i, group in enumerate(groupings):
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for i, group in enumerate(groupings):
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group_labels = [labels[j] for j in group]
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group_labels = [labels[j] for j in group]
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group_means = [means[j] for j in group]
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group_means = [means[j] for j in group]
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colors = [color_palette(j % 10) for j in group] # różne kolory
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plt.figure()
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plt.figure()
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plt.bar(group_labels, group_means)
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bars = plt.bar(group_labels, group_means, color=colors)
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plt.ylabel("Średni czas wdrożenia (sek)")
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plt.ylabel("Średni czas wdrożenia (sek)")
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plt.title(f"Porównanie średnich czasów wdrożenia")
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plt.title(f"Porównanie średnich czasów wdrożenia")
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plt.xticks(rotation=45)
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plt.xticks(rotation=45)
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# Dodanie wartości na słupkach
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for bar in bars:
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yval = bar.get_height()
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plt.text(bar.get_x() + bar.get_width()/2.0, yval + 2, f'{yval:.1f}', ha='center', va='bottom', fontsize=9)
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plt.tight_layout()
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plt.tight_layout()
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plt.savefig(f"{output_folder}/mean_times_{i}.png")
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plt.savefig(f"{output_folder}/mean_times_{i}.png")
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plt.close()
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plt.close()
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