Is it possible to show only the top/bottom n groups in asns.countplot()?
Using an example from the seaborn website,
sns.countplot
Just adding real example instead of toy dataset. Assuming you have Pandas Data Frame name training_var and you want to display top 10 'Gene' column counts 'order=' bit should look as follows:
sb.countplot(x='Gene',data=training_var,order=pd.value_counts(training_var['Gene']).iloc[:10].index)
import seaborn as sns
titanic = sns.load_dataset("titanic")
sns.countplot(y="deck", hue="class", data=titanic, palette="Greens_d",
order=titanic.deck.value_counts().iloc[:3].index)