The Plotting Config

Use the config file to fine-tune your plots.

Valid options:

Option	Default	Description
data	"data"	Regular expression for values in dataset_col to plot as scatter markers
weights	None	Which weight columns to use for plotting.
yscale	"linear"	Should y-axis be on a linear or a log scale.
lumi	1	Multiply all simulated datasets by this value.
ylabel		Give the Y-axis a title.
legend		Control the legend placement options. A dictionary of kwarg pairs passed directly to matplotlib.pyplot.legend()
limits		Set the axis ranges. Takes a dictionary with x and / or y as the keys, and a list with upper and lower bounds.
annotations		Add text to the plot. Should be a list of text labels, each described by a dictionary containing the text and the position. All other paramers are passed as keyword-argument pairs to matplotlib.pyplot.annotate()

Todo

Describe the bin_variable_replacements and value_replacements options for the config.

See also

An example of a plotting config cms_public_tutorial demo repository: https://gitlab.cern.ch/fast-hep/public/fast_cms_public_tutorial/blob/master/plot_config.yml