How can I plot a gaussian fit onto a histplot, as previously done by the deprecated distplot? import seaborn as sns import numpy as np from scipy.stats import norm x = np.random.normal(size=500) * 0.1 With distplot I could do: sns.distplot(x, kde=False, fit=norm) But how to go about it in displot or histplot? So far the closest I've come to is: sns.histplot(x,stat="probability", bins=30, kde=True, kde_kws={"bw_adjust":3}) But I think this just increases the smoothening of the plotted kde, which isn't exactly what I'm going for. Continue reading...