sierra.plugins.proc.statistics.kernels

Kernels for the different types of statistics generated from experiments.

Functions

bw(→ dict[str, polars.DataFrame])	Generate statistics for plotting box and whisker plots around data points.
conf95(→ dict[str, polars.DataFrame])	Generate stddev statistics plotting for 95% confidence intervals.
mean(→ dict[str, polars.DataFrame])	Generate mean statistics only.

Module Contents

sierra.plugins.proc.statistics.kernels.bw(groupby, ungrouped: polars.DataFrame) → dict[str, polars.DataFrame]

Generate statistics for plotting box and whisker plots around data points.

Does not support non-numeric data. Applicable to:

• summary_line()

sierra.plugins.proc.statistics.kernels.conf95(groupby, ungrouped: polars.DataFrame) → dict[str, polars.DataFrame]

Generate stddev statistics plotting for 95% confidence intervals.

Does not support non-numeric data. Applicable to:

• stacked_line()

• summary_line()

sierra.plugins.proc.statistics.kernels.mean(groupby, ungrouped: polars.DataFrame) → dict[str, polars.DataFrame]

Generate mean statistics only.

Applicable to:

• summary_line()

• stacked_line()

• heatmap()

• confusion_matrix()

Changed in version 1.5.6: Now supports non-numeric columns via mode().