[[0.05, 0, 0.35, 0.5], [0.6, 0, 0.35, 0.5], [0.25, 0.5, 0.5, 0.5]],
['lmncw_*', 'lmnccw_*', 'adn_*']): # left, bottom, width, height
ax = fig.add_axes(rect, projection='polar')
ax.set_ylim(0, 0.5)
ax.set_autoscale_on(False)
axes[nme] = ax
canvas = FigureCanvasAgg(fig)
canvas.draw()
backgrounds = {}
lines = {}
neurons_position = {}
bars = {}
for nme, ax in axes.items():
line, = ax.plot(phi, data[nme][0], '-')
npos, = ax.plot(phi, np.ones_like(phi) * 0.4, 'o', color='black')
backgrounds[nme] = canvas.copy_from_bbox(ax.bbox)
lines[nme] = line
neurons_position[nme] = npos
image = pyglet.image.ImageData(figw,
figh,
'RGB',
data=canvas.tostring_rgb(),
pitch=-3 * figw)
def update(dt):
print(dt)
window.clear()
agent.update(dt)
for nme in ['lmncw_*', 'lmnccw_*', 'adn_*']:
