fixup: df.pivot needs parameter names
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@ -198,7 +198,7 @@ class Visualizer:
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ylabels = np.sort(np.unique(data[key][labels[1]]))
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if len(xlabels) < self.minimumDataPoints or len(ylabels) < self.minimumDataPoints:
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continue
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df = pd.DataFrame.from_dict(data[key]).pivot(labels[0], labels[1], 'ttas')
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df = pd.DataFrame.from_dict(data[key]).pivot(columns=labels[0], index=labels[1], values='ttas')
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fig, ax = plt.subplots(figsize=(10, 6))
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sns.heatmap(df, cmap='hot_r', cbar_kws={'label': 'Time to block availability (ms)'}, linecolor='black', linewidths=0.3, annot=True, fmt=".2f", ax=ax) #vmin=vmin, vmax=vmax
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plt.xlabel(self.formatLabel(labels[0]))
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