2 Matching Annotations
- Last 7 days
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tight-paper-240209-1423-8050.apps.eap01t.sbb-azure-test.net tight-paper-240209-1423-8050.apps.eap01t.sbb-azure-test.net
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BigDataBoxPlot
Some ideas: * do violin plot. Watch out: pr'haps way more parametrization * group by season to see seasonal differences
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fig = BigDataBoxPlot(df=df)\ .compute_boxplot_trace()\ .compute_outliers_trace()\ .get_figure( title="MG5 Temperature", xaxis_title="temperature [°C]", height=800 )\ .show(renderer="notebook")
The temperature on the same object "Führungslager" seems to be different depending on the circular segment. This is probably due from the calibration which should not be that precise.
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