SubplotAnimation
[1]:
import matplotlib.pyplot as plt
import numpy as np
import tqdm
from smpl import animation, plot
Tight
[2]:
%matplotlib notebook
plt.ioff()
for a in tqdm.tqdm(np.linspace(0, 10, 200)):
fig, axs = plot.subplots(1, 3, figsize=(12, 8), sharey=True)
fig.subplots_adjust(wspace=0)
plot.function(lambda x: a * x**2, axes=axs[0], tight=False, xmin=0, xmax=1)
plot.function(lambda x: a * x**5, axes=axs[0], tight=False, xmin=0, xmax=1)
plot.function(
lambda x: a * x**3, axes=axs[1], logx=True, tight=False, xmin=0, xmax=1
)
plot.function(lambda x: a * x**1, axes=axs[2], tight=False, xmin=0, xmax=1)
animation.frame()
# ani.save("test.gif")
ani = animation.animate(interval=10, blit=True)
plt.show()
100%|██████████| 200/200 [00:13<00:00, 15.29it/s]
Normal
[3]:
%matplotlib notebook
plt.ioff()
animation.clear()
for a in tqdm.tqdm(np.linspace(0, 10, 200)):
fig, axs = plot.subplots(1, 3, figsize=(12, 8), sharey=True)
fig.subplots_adjust(wspace=0)
plot.function(lambda x: a * x**2, axes=axs[0], xmin=0, xmax=1)
plot.function(lambda x: a * x**5, axes=axs[0], xmin=0, xmax=1)
plot.function(lambda x: a * x**3, axes=axs[1], logx=True, xmin=0, xmax=1)
plot.function(lambda x: a * x**1, axes=axs[2], xmin=0, xmax=1)
animation.frame()
# ani.save("test.gif")
ani = animation.animate(interval=10, blit=True)
plt.show()
100%|██████████| 200/200 [01:40<00:00, 1.98it/s]
[ ]:
[ ]:
[ ]: