def update(i):
for ax in self.figure.get_axes():
ax.clear()
graph_list(0, self.options, self.graph, 0, 0, None)
for n in range(len(self.graph['p']) - 1):
graph_list(3, self.options, self.graph, i, n, self.ants)
plt.gca().invert_yaxis()
self.figure.canvas.draw()
def action(self, state):
for ax in self.figure.get_axes():
ax.clear()
graph_list(0, self.options, self.graph, 0, 0, None)
if state == True:
graph_list(1, self.options, self.graph, self.length, 0, None)
plt.gca().invert_yaxis()
self.figure.canvas.draw()
def optimum_path(self, state):
for ax in self.figure.get_axes():
ax.clear()
graph_list(0, self.options, self.graph, 0, 0, None)
if state == True:
for n in range(len(self.graph['p']) - 1):
graph_list(2, self.options, self.graph, self.length, n, None)
plt.gca().invert_yaxis()
self.figure.canvas.draw()
def ants_path(self, state):
for ax in self.figure.get_axes():
ax.clear()
graph_list(0, self.options, self.graph, 0, 0, None)
if state == True:
def update(i):
for ax in self.figure.get_axes():
ax.clear()
graph_list(0, self.options, self.graph, 0, 0, None)
for n in range(len(self.graph['p']) - 1):
graph_list(3, self.options, self.graph, i, n, self.ants)
plt.gca().invert_yaxis()
self.figure.canvas.draw()
ani = animation.FuncAnimation(self.fig, update, frames=self.length, interval=self.interval, repeat=False)
plt.gca().invert_yaxis()
self.figure.canvas.draw()