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fixup: df.pivot needs parameter names

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Csaba Kiraly 2023-07-13 09:30:07 +00:00
parent b427cf93c0
commit 866229f8e8
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DAS/visualizer.py
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@ -198,7 +198,7 @@ class Visualizer:
ylabels = np.sort(np.unique(data[key][labels[1]])) ylabels = np.sort(np.unique(data[key][labels[1]]))
if len(xlabels) < self.minimumDataPoints or len(ylabels) < self.minimumDataPoints: if len(xlabels) < self.minimumDataPoints or len(ylabels) < self.minimumDataPoints:
continue continue
df = pd.DataFrame.from_dict(data[key]).pivot(labels[0], labels[1], 'ttas') df = pd.DataFrame.from_dict(data[key]).pivot(columns=labels[0], index=labels[1], values='ttas')
fig, ax = plt.subplots(figsize=(10, 6)) fig, ax = plt.subplots(figsize=(10, 6))
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 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
plt.xlabel(self.formatLabel(labels[0])) plt.xlabel(self.formatLabel(labels[0]))