I'm trying to create a matplotlib animation that is 1920x1080
. The following animation generated is (1152x648), which is the right ratio but too small. I know that I can do this after the fact with ffmpeg, but I'd like to avoid re-encoding if possible.
y = my_data
fig = plt.figure(figsize=(16,9))
def ani(i):
# Animation Code
animator = FuncAnimation(fig, ani, frames=y.shape[0])
# Can't figure out what extra_args to set here
ffmpeg_writer = FFMpegWriter(fps=y.shape[0]/sound.duration_seconds, extra_args=['-scale', '1920x1080'])
animator.save('mymovie.mp4', writer=ffmpeg_writer)
print(ffmpeg_writer.frame_size) # prints (1152, 648)
ipd.Video('mymovie.mp4')
As you can see above, I have tried a few extra_args
, however I can't get anything to work.
You can set the DPI
arguments as described in the following post.
The nominal DPI of your system is 72, so the resolution is 72*16
x72*9
= 1152
x648
.
We can set the DPI to 1920/16 for getting resolution 1920x1080:
fig = plt.figure(figsize=(16, 9), dpi=1920/16)
Here is an executable code sample (used for testing):
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
# 72 is the nominal DPI that is the reason figsize=(16, 9) resolution is (1152, 648).
# Set the DPI to 120 for getting resolution is (1920, 1080)
fig = plt.figure(figsize=(16, 9), dpi=(1920/16))
ax = plt.gca() # Get current axes
l1, = ax.plot(np.arange(1, 10), np.arange(1, 10), **{'marker':'o'})
def init():
l1.set_data([],[])
def ani(i, l1):
l1.set_data(i/5, np.sin(0.5*i)*4+5)
l1.set_markersize(10)
animator = animation.FuncAnimation(fig, ani, fargs=(l1,), init_func=init, frames=50, interval=1, blit=False) # 50 frames, interval=1
ffmpeg_writer = animation.FFMpegWriter(fps=10)
animator.save('mymovie.mp4', writer=ffmpeg_writer)
plt.show() # Show for testing