matplotlib.github.com/1.4.0/examples/animation/unchained.py at main · matplotlib/matplotlib.github.com · GitHub

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"""

Comparative path demonstration of frequency from a fake signal of a pulsar.

(mostly known because of the cover for Joy Division's Unknown Pleasures)

Author: Nicolas P. Rougier

"""

import numpy as np

import matplotlib.pyplot as plt

import matplotlib.animation as animation

# Create new Figure with black background

fig = plt.figure(figsize=(8, 8), facecolor='black')

# Add a subplot with no frame

ax = plt.subplot(111, frameon=False)

# Generate random data

data = np.random.uniform(0, 1, (64, 75))

X = np.linspace(-1, 1, data.shape[-1])

G = 1.5 * np.exp(-4 * X * X)

# Generate line plots

lines = []

for i in range(len(data)):

# Small reduction of the X extents to get a cheap perspective effect

xscale = 1 - i / 200.

# Same for linewidth (thicker strokes on bottom)

lw = 1.5 - i / 100.0

line, = ax.plot(xscale * X, i + G * data[i], color="w", lw=lw)

lines.append(line)

# Set y limit (or first line is cropped because of thickness)

ax.set_ylim(-1, 70)

# No ticks

ax.set_xticks([])

ax.set_yticks([])

# 2 part titles to get different font weights

ax.text(0.5, 1.0, "MATPLOTLIB ", transform=ax.transAxes,

ha="right", va="bottom", color="w",

family="sans-serif", fontweight="light", fontsize=16)

ax.text(0.5, 1.0, "UNCHAINED", transform=ax.transAxes,

ha="left", va="bottom", color="w",

family="sans-serif", fontweight="bold", fontsize=16)

# Update function

def update(*args):

# Shift all data to the right

data[:, 1:] = data[:, :-1]

# Fill-in new values

data[:, 0] = np.random.uniform(0, 1, len(data))

# Update data

for i in range(len(data)):

lines[i].set_ydata(i + G * data[i])

# Return modified artists

return lines

# Construct the animation, using the update function as the animation

# director.

anim = animation.FuncAnimation(fig, update, interval=10)

plt.show()

matplotlib.github.com/1.4.0/examples/animation/unchained.py at main · matplotlib/matplotlib.github.com · GitHub

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