%run talktools
%matplotlib inline

import seaborn as sns
import numpy as np

sns.set_palette("deep", desat=.6)
np.random.seed(9221999)

from scipy import stats
x, y = stats.gamma(3).rvs((2, 5000))

sns.jointplot(x, y, kind="hex");

import pandas as pd
data = np.random.multivariate_normal([0, 0], [[1, 2], [2, 20]], size=1000)
data = pd.DataFrame(data, columns=["X", "Y"])

sns.kdeplot(data);

y = np.random.randn(200)
g = np.random.choice(list("abcdef"), 200)
for i, l in enumerate("abcdef"):
    y[g == l] += i // 2
df = pd.DataFrame(dict(score=y, group=g))

sns.violinplot(df.score, df.group);