plot_run_metric_mesh

rubin_sim.maf.run_comparison.plot_run_metric_mesh(summary, metric_set=None, baseline_run=None, color_range=1, run_label_map=None, metric_label_map=None, ax=None, cmap=<matplotlib.colors.LinearSegmentedColormap object>)

Plot normalized metric values as colored points on a cartesian plane.

Parameters:

summarypandas.DataFrame

Values to be plotted. Should only include runs and metrics that should actually appear on the plot.

baseline_runstr

Name of the run to use as the baseline for normalization (see (archive.normalize_metric_summaries).

color_rangefloat

The color range of the plot, in normalized metrics summary units. (The color range will be 1-color_range/2 and 1+color_range/2).

run_label_mapmapping

A python mapping between canonical run names and run labels as they should appear on plot labels.

metric_label_mapmapping

A python mapping between canonical metric names and metric labels as they should appear on plot labels.

axmatplotlib.axes.Axes

The axes on which to plot the data.

cmapmatplotlib.colors.ColorMap

The color map to use for point colors. A red/blue diverging color map - CET_D1A_r or CET_D1_r A rainbow diverging color map - CET_R3_r

Returns:

figmatplotlib.figure.Figure

The plot figure..

axmatplotilb.axes.Axes

The plot axes.