import pandas as pd
%matplotlib inline
import random
import matplotlib.pyplot as plt
import seaborn as sns

df = pd.DataFrame()

df['x'] = random.sample(range(1, 100), 25)
df['y'] = random.sample(range(1, 100), 25)

df.head()

sns.lmplot('x', 'y', data=df, fit_reg=False)

sns.kdeplot(df.y)

sns.kdeplot(df.y, df.x)

sns.distplot(df.x)

plt.hist(df.x, alpha=.3)
sns.rugplot(df.x);

sns.boxplot([df.y, df.x])

sns.violinplot([df.y, df.x])

sns.heatmap([df.y, df.x], annot=True, fmt="d")

sns.clustermap(df)