dyn_plot

Create matplotlib figures that can be easily updated at runtime in Jupyter.

import numpy as np
from dyn_plot import Plot

# accepts all plt.figure() arguments
plot = Plot(figsize=(10, 5))

ts = np.linspace(0, 10, 200)
losses = []
for t in ts:
  loss = -np.log(t + 0.001) + np.random.normal() * 0.4
  losses.append(loss)

  with plot: # clear and redraw
    # use any methods from Axes
    plot.set_title(f't = {t:.2f}')
    plot.plot(losses)

# close to avoid an additional rendering of the inner figure
plot.close()