small fi

plothist/comparison.py

@@ -367,6 +367,7 @@ def get_comparison(
         What kind of bin uncertainty to use for h1: "symmetrical" for the Poisson standard deviation derived from the variance stored in the histogram object, "asymmetrical" for asymmetrical uncertainties based on a Poisson confidence interval. Default is "symmetrical".
     ratio_uncertainty_type : str, optional
         How to treat the uncertainties of the histograms when comparison is "ratio" or "relative_difference" ("uncorrelated" for simple comparison, "split" for scaling and split h1 and h2 uncertainties). This argument has no effect if comparison != "ratio" or "relative_difference". Default is "uncorrelated".
+
     Returns
     -------
     values : numpy.ndarray