File: hexbin_demo.py

package info (click to toggle)
matplotlib 1.1.1~rc2-1
  • links: PTS, VCS
  • area: main
  • in suites: wheezy
  • size: 66,076 kB
  • sloc: python: 90,600; cpp: 69,891; objc: 5,231; ansic: 1,723; makefile: 171; sh: 7
file content (36 lines) | stat: -rw-r--r-- 858 bytes parent folder | download | duplicates (6)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
"""
hexbin is an axes method or pyplot function that is essentially
a pcolor of a 2-D histogram with hexagonal cells.  It can be
much more informative than a scatter plot; in the first subplot
below, try substituting 'scatter' for 'hexbin'.
"""

import numpy as np
import matplotlib.cm as cm
import  matplotlib.pyplot as plt

n = 100000
x = np.random.standard_normal(n)
y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n)
xmin = x.min()
xmax = x.max()
ymin = y.min()
ymax = y.max()

plt.subplots_adjust(hspace=0.5)
plt.subplot(121)
plt.hexbin(x,y, cmap=cm.jet)
plt.axis([xmin, xmax, ymin, ymax])
plt.title("Hexagon binning")
cb = plt.colorbar()
cb.set_label('counts')

plt.subplot(122)
plt.hexbin(x,y,bins='log', cmap=cm.jet)
plt.axis([xmin, xmax, ymin, ymax])
plt.title("With a log color scale")
cb = plt.colorbar()
cb.set_label('log10(N)')

plt.show()