I trying to make HTML(anim.to_html5_video) animation work in jupyter with seaborn heatmap.
- First, I get working working samples from documentation, and make "pure matplotlib" image map animated example, it worked, with small problem ("parasite output" in animation cell)
- Then, I tried to make it work with seaborn.heatmap… but failed. Animation looks like "infinite mirror" — obviously something wrong with matplotlib axes/plot composition, but I can't get it.
Common initialization cell:
import pandas as pd
import seaborn as sns
import numpy as np
%matplotlib inline
#%matplotlib notebook # Tried both, not needed for animation.
import matplotlib.pyplot as plt
from matplotlib import animation, rc
from IPython.display import HTML
Animation worked, but "unwanted static output image exists":
fig, ax = plt.subplots()
nx = 50
ny = 50
line2d, = ax.plot([], [], lw=2)
def init():
line2d.set_data([], [])
ax.imshow(np.zeros((nx, ny)))
return (line2d,)
def animate(i):
data = np.random.rand(nx, ny)
ax.set_title('i: ' + str(i))
ax.imshow(data)
return (line2d,)
anim = animation.FuncAnimation(fig, animate, init_func=init, frames=10, interval=1000, blit=False)
HTML(anim.to_html5_video())
So, looks that all OK with my jupyter setup (packages, ffmpeg, etc).
But, I cannot get how to make it with seaborn.heatmap:
fig, ax = plt.subplots()
nx = 50
ny = 50
line2d, = ax.plot([], [], lw=2)
ax_global = ax
def init_heatmap():
line2d.set_data([], [])
sns.heatmap(np.zeros((nx, ny)), ax=ax_global)
return (line2d,)
def animate_heatmap(i):
data = np.random.rand(nx, ny)
sns.heatmap(data, ax=ax_global)
ax.set_title('Frame: ' + str(i))
return (line2d,)
anim = animation.FuncAnimation(fig, animate_heatmap, init_func=init_heatmap,
frames=10, interval=1000, blit=True)
HTML(anim.to_html5_video())
Both samples ready to test on github
Of course, I want to see animation with random map and "stable heat-axes" but get this https://vimeo.com/298786185/
