Created
August 30, 2018 07:25
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import subprocess | |
import matplotlib.pyplot as plt | |
import numpy as np | |
def generate_plot_figures(): | |
NUM_PLOTS_TO_ANIMATE = 10 | |
for i in range(NUM_PLOTS_TO_ANIMATE + 1): | |
# Create each plot separately | |
fig, ax = plt.subplots() | |
L = 2 * np.pi | |
x = np.linspace(0, L) | |
nb_colors = len(plt.rcParams['axes.prop_cycle']) | |
shift = np.linspace(0, L, nb_colors, endpoint=False) | |
for s in shift: | |
ax.plot(x, np.sin(x + s), '-') | |
ax.set_xlim([x[0], x[-1]]) | |
fig.savefig("animation_frame_" + str(i) + ".png") | |
def animate_plots(base_directory, fname_prefix): | |
""" | |
This function creates a movie of the plots using ffmpeg | |
Args: | |
base_directory (str): the directory with the plots. | |
fname_prefix (str): the filename for the model run | |
Returns: | |
none but creates mp4 from pngs in base directory | |
Author: FJC | |
""" | |
import subprocess | |
# animate the pngs using ffmpeg | |
system_call = "ffmpeg -framerate 5 -pattern_type glob -i '"+base_directory+"*.png' -vcodec libx264 -s 1230x566 -pix_fmt yuv420p "+base_directory+fname_prefix+"_movie.mp4" | |
print system_call | |
subprocess.call(system_call, shell=True) | |
generate_plot_figures() | |
animate_plots(base_dir, prefix) |
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