Ecdfplot

Plot a univariate distribution along the x axis:

import seaborn as sns; sns.set_theme()

penguins = sns.load_dataset("penguins")
sns.ecdfplot(data=penguins, x="flipper_length_mm")

Flip the plot by assigning the data variable to the y axis:

sns.ecdfplot(data=penguins, y="flipper_length_mm")

If neither x nor y is assigned, the dataset is treated as wide-form, and a histogram is drawn for each numeric column:

sns.ecdfplot(data=penguins.filter(like="bill_", axis="columns"))

You can also draw multiple histograms from a long-form dataset with hue mapping:

sns.ecdfplot(data=penguins, x="bill_length_mm", hue="species")

The default distribution statistic is normalized to show a proportion, but you can show absolute counts or percents instead:

sns.ecdfplot(data=penguins, x="bill_length_mm", hue="species", stat="count")

It's also possible to plot the empirical complementary CDF (1 - CDF):

sns.ecdfplot(data=penguins, x="bill_length_mm", hue="species", complementary=True)