/
animated_histogram.py
55 lines (43 loc) · 1.84 KB
/
animated_histogram.py
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
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
"""
==================
Animated histogram
==================
Use histogram's `.BarContainer` to draw a bunch of rectangles for an animated
histogram.
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
# Fixing random state for reproducibility
np.random.seed(19680801)
# Fixing bin edges
HIST_BINS = np.linspace(-4, 4, 100)
# histogram our data with numpy
data = np.random.randn(1000)
n, _ = np.histogram(data, HIST_BINS)
###############################################################################
# To animate the histogram, we need an ``animate`` function, which generates
# a random set of numbers and updates the heights of rectangles. We utilize a
# python closure to track an instance of `.BarContainer` whose `.Rectangle`
# patches we shall update.
def prepare_animation(bar_container):
def animate(frame_number):
# simulate new data coming in
data = np.random.randn(1000)
n, _ = np.histogram(data, HIST_BINS)
for count, rect in zip(n, bar_container.patches):
rect.set_height(count)
return bar_container.patches
return animate
###############################################################################
# Using :func:`~matplotlib.pyplot.hist` allows us to get an instance of
# `.BarContainer`, which is a collection of `.Rectangle` instances. Calling
# ``prepare_animation`` will define ``animate`` function working with supplied
# `.BarContainer`, all this is used to setup `.FuncAnimation`.
fig, ax = plt.subplots()
_, _, bar_container = ax.hist(data, HIST_BINS, lw=1,
ec="yellow", fc="green", alpha=0.5)
ax.set_ylim(top=55) # set safe limit to ensure that all data is visible.
ani = animation.FuncAnimation(fig, prepare_animation(bar_container), 50,
repeat=False, blit=True)
plt.show()