<jupyter_start><jupyter_text>Compare model extraction methods<jupyter_code>sns.barplot(data=df[df.experiment.str.contains("seg")], x="data_size_1", y="elapsed", hue="experiment")
sns.barplot(data=df[df.experiment.str.contains("seg") & (df.data_size_1<100)], x="data_size_1", y="elapsed", hue="experiment")<jupyter_output><empty_output><jupyter_text>Compare size of boundary matrix<jupyter_code>sns.barplot(data=df[df.experiment.str.contains("Fchar")], x="data_size_1", y="elapsed", hue="boundary3_size_1")
sns.barplot(data=df[df.experiment.str.contains("Fchar") & (df.data_size_1 < 250)], x="data_size_1", y="elapsed", hue="boundary3_size_1")
sns.barplot(data=df[~df.experiment.str.contains("seg") & ~df.experiment.str.contains("Fchar")], x="boundary3_size_1", y="elapsed", hue="experiment")
# sns.lmplot(data=df, x="block_", y="time", hue="acquisition", order=3)<jupyter_output><empty_output><jupyter_text>Reduced V and reduced FV new implementation vs old implementation<jupyter_code>sns.barplot(data=df[df.experiment.str.contains("seg") & (df.boundary3_size_1==16) & ~df.experiment.str.contains("FVfr")], x="data_size_1", y="elapsed", hue="experiment")<jupyter_output><empty_output>
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