matplotlib rendering

import numpy as np
import matplotlib.pyplot as plt

X = np.linspace(0, 2*np.pi)
Y = np.sin(X)

# this produces an interactive plot under jupyter lab
# with jupyter book, it should also be interactive (and it was working at some point)
# but as of Apr 2024 at least, if we keep %matplotlib ipympl we do not get any plot - not even a static one
# 
# of potential interest:
# 
# https://github.com/executablebooks/jupyter-book/issues/1053
# https://github.com/executablebooks/jupyter-book/issues/1991
# https://jupyterbook.org/en/stable/advanced/sphinx.html#custom-css-or-javascript
# https://jupyterbook.org/en/stable/interactive/interactive.html#ipywidgets
#
# for this to render anything at all under jbook, I've had to tweak the jbook config file
# as per https://github.com/agoose77/phd-thesis/blob/03d6392032e0066aa14e8c3a9a99de9f04762cdd/_config.yml#L185-L193
# this looks fragile...

%matplotlib ipympl

# this plot should be interactive

plt.figure(figsize=(10, 2))
plt.plot(X, Y);

# basic imshow - same: is resizable / zoomable under jlab but jbook makes it static

I, J = np.indices((4, 4))
grid = (I + J) % 2

plt.figure()
plt.imshow(grid)
plt.figure()
plt.imshow(1-grid);