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@jhjensen2
Last active April 15, 2019 13:34
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#!/usr/bin/env python
import copy
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.animation as animation
"""
based on
http://stackoverflow.com/questions/9401658/matplotlib-animating-a-scatter-plot
http://stackoverflow.com/questions/12892863/animated-scatterplot-of-data-with-matplotlib
http://matplotlib.org/examples/shapes_and_collections/scatter_demo.html
"""
global x_frames
global y_frames
x_frames = []
y_frames = []
c_frames = []
green = "#4daf4a"
mpl.colors.ColorConverter.colors['r'] = (0.8941176470588236, 0.10196078431372549, 0.10980392156862745)
mpl.colors.ColorConverter.colors['b'] = (0.21568627450980393, 0.49411764705882355, 0.7215686274509804)
mpl.colors.ColorConverter.colors['g'] = (0.30196078431372547, 0.6862745098039216, 0.2901960784313726)
mpl.colors.ColorConverter.colors['p'] = (0.596078431372549, 0.3058823529411765, 0.6392156862745098)
mpl.colors.ColorConverter.colors['y'] = (1.0, 0.4980392156862745, 0.0)
def create_plot(box_width, grid, boundary_condition):
"""
"""
fig = plt.figure()
if boundary_condition:
ax = fig.add_subplot(111,
aspect='equal',
autoscale_on=False,
xlim=(0, box_width),
ylim=(0, box_width))
# Add an retangle around the box
rect = plt.Rectangle((0, 0),
box_width,
box_width,
fill=False,
linewidth=3.0,
edgecolor='k')
ax.add_patch(rect)
else:
ax = fig.add_subplot(111,
aspect='equal',
autoscale_on=False,
xlim=(-(box_width+0.0), (box_width+0.0)),
ylim=(-(box_width+0.0), box_width+0.0))
# Add an retangle around the box
rect = plt.Rectangle((-box_width, -box_width),
2*box_width,
2*box_width,
fill=False,
linewidth=3.0,
edgecolor='k')
ax.add_patch(rect)
if grid:
ax.grid(True)
else:
plt.axis('off')
return fig, ax
def set_box_width():
"""
TODO
"""
def set_particle_radius():
"""
TODO
"""
def save(filename, box_width=10.0, fps=25, grid=False, area=300, periodic_boundary=False):
"""
Takes 2D coordinates x_frames and y_frames, saves it into filename.mp4 with
len(x_frames) steps.
# alt_bw alternative box_width (goes from 0..box_width, instead of
# -box_width, box_width)
"""
global x_frames
global y_frames
global c_frames
x_frames = np.array(x_frames)
y_frames = np.array(y_frames)
if periodic_boundary:
x_frames = x_frames - box_width * np.floor(x_frames/box_width)
y_frames = y_frames - box_width * np.floor(y_frames/box_width)
#x_frames = list(x_frames)
#y_frames = list(y_frames)
video_frames = len(x_frames)
color_update = True
if len(c_frames) == 0:
c_frames = [green for n in range(video_frames)]
color_update = False
if len(c_frames) == 1:
color_update = False
fig, ax = create_plot(box_width, grid, periodic_boundary)
# marker="*"
# marker='$\heartsuit$'
# particles_dot, = ax.plot(x_frames[0], y_frames[0], 'ko', ms=6)
particles = ax.scatter(x_frames[0], y_frames[0], s=area, c=c_frames[0], linewidth=0.6)
def init():
"""
initialize animation
"""
# particles.set_data([], [])
return particles
def animate(i):
"""
perform animation step
"""
j = i-1
# Offsets are given as a N tuples of 2 items each while the data array
# is given as 2 tuples with N items each, transposing the data array
# will fix your problem.
offset = np.array([x_frames[i], y_frames[i]]).transpose()
particles.set_offsets(offset)
if color_update:
particles.set_array(c_frames[i])
# particles_dot.set_data(x_frames[i], y_frames[i])
# print j, (x_frames[i]-x_frames[j])[0]
return particles
# Create the animation object
ani = animation.FuncAnimation(fig, animate,
frames=video_frames,
interval=10,
init_func=init,
blit=False)
if(filename == ''):
return ani
# Save the animation to disk
# Change fps for another framerate
# NOTE: Use mencoder, instead of ffmpeg
# ani.save(filename+'.mp4', fps=fps, writer='mencoder')
Writer = animation.writers['ffmpeg']
writer = Writer(fps=fps, metadata=dict(artist='Me'), bitrate=1800)
#ani.save(filename+'.mp4', fps=fps, writer=writer)
ani.save(filename+'.mp4', writer=writer) #use with matplotlib 2.0.0
# Save as gif
# ani.save(filename+'.gif', writer='imagemagick')
# Clear figure
plt.clf()
def screenshot(filename, x, y, color=green, box_width=10.0, grid=True, area=300, periodic_boundary=False):
"""
"""
# TODO
# radius = 10.0
# area = np.pi * radius**2
# print area
if periodic_boundary:
x = x - box_width * np.floor(x/box_width)
y = y - box_width * np.floor(y/box_width)
fig, ax = create_plot(box_width, grid, periodic_boundary)
ax.scatter(x, y, s=area, c=color, linewidth=0.6)
ax.plot(x, y, 'ko', ms=6)
box = 1.0
rect = plt.Rectangle((-box/2.0, -box/2.0),
box,
box,
fill=False,
linewidth=0.5,
edgecolor='k')
ax.add_patch(rect)
fig.savefig(filename)
fig.clf()
plt.clf()
def add_frame(x_frame, y_frame):
"""
Add X and Y coordinates for a video frame
"""
global x_frames
global y_frames
if type(x_frames) is list:
x_frames.append(copy.copy(x_frame))
y_frames.append(copy.copy(y_frame))
else:
x_frames = []
y_frames = []
x_frames.append(copy.copy(x_frame))
y_frames.append(copy.copy(y_frame))
def add_color(color):
"""
Add particle color for a video frame
"""
c_frames.append(copy.copy(color))
if __name__ == "__main__":
quit()
# Testing and showing example of how to use module
x = [0.0, 1.0]
y = [0.0, 1.0]
screenshot('random_screenshot', x, y)
n_particles = 20
for _ in range(600):
add_frame(np.array([np.random.random() for i in range(n_particles)]) * 10.0,
np.array([2 * (np.random.random() - 0.5) for i in range(n_particles)]) * 10.0)
save('random_movie', 10.0)
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