Plot density chart with Age and Sex

Question

This is the easiest way I found for a plot for two variables with Seaborn (Age and Sex):

M = df[df["Sex"]=="male"]
F = df[df["Sex"]=="female"]

X1 = M["Age"].dropna()
X2 = F["Age"].dropna()
L1=sns.kdeplot(X1, shade=True, label="male", color="orangered", alpha=0.4)
L2=sns.kdeplot(X2, shade=True, label="female",color='royalblue', alpha=0.4)

How can I make this chart with an improved code?

Thanks.

Answer 1

Here is a shortcode to achieve the same thing

    sns.kdeplot(df["Age"], shade=True, hue=df["Sex"], color="orangered", 
    alpha=0.4)

Answer 2

You should be able to use the 'hue' option to separate sub-classes of attributes like sex. So you can now define the plot in one line:

plot = sns.PairGrid(df["Age"].dropna(), hue="Sex", **kwargs)
plot = plot.map(sns.kdeplot, **kwargs)