Note
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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 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
.
# Output generated via `matplotlib.animation.Animation.to_jshtml`.
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()
Total running time of the script: ( 0 minutes 5.989 seconds)