File: hexbin_marginals.py

package info (click to toggle)
seaborn 0.9.0-1
  • links: PTS, VCS
  • area: main
  • in suites: buster
  • size: 2,124 kB
  • sloc: python: 18,293; makefile: 171; sh: 2
file content (15 lines) | stat: -rw-r--r-- 313 bytes parent folder | download 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
 
"""
Hexbin plot with marginal distributions
=======================================

_thumb: .45, .4
"""
import numpy as np
import seaborn as sns
sns.set(style="ticks")

rs = np.random.RandomState(11)
x = rs.gamma(2, size=1000)
y = -.5 * x + rs.normal(size=1000)

sns.jointplot(x, y, kind="hex", color="#4CB391")