Python source code: [download source: logistic_regression.py]
import seaborn as sns
sns.set(style="darkgrid")
# Load the example titanic dataset
df = sns.load_dataset("titanic")
# Make a custom palette with gendered colors
pal = dict(male="#6495ED", female="#F08080")
# Show the survival proability as a function of age and sex
g = sns.lmplot(x="age", y="survived", col="sex", hue="sex", data=df,
palette=pal, y_jitter=.02, logistic=True)
g.set(xlim=(0, 80), ylim=(-.05, 1.05))