modify leapfrog to take velocities instead of momenta, add new initial conditions
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33
lib/plots.py
33
lib/plots.py
@@ -14,6 +14,11 @@ class DynamicUpdate():
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plt.ion()
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def set_lims(self, factor=1.5):
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self.ax.set_xlim(factor*self.min_x, factor*self.max_x)
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self.ax.set_ylim(factor*self.min_x, factor*self.max_x)
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self.ax.set_zlim(factor*self.min_x, factor*self.max_x)
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def on_launch(self):
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#Set up plot
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self.fig = plt.figure()
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@@ -21,27 +26,27 @@ class DynamicUpdate():
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self.lines, = self.ax.plot([],[],[],'o')
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#Autoscale on unknown axis and known lims on the other
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self.ax.set_autoscaley_on(True)
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self.ax.set_xlim(self.min_x, self.max_x)
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self.ax.set_ylim(self.min_x, self.max_x)
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self.ax.set_zlim(self.min_x, self.max_x)
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self.set_lims()
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#Other stuff
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self.ax.grid()
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#self.ax.set_aspect('equal')
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def on_running(self, xdata, ydata, zdata, step=None, label=None):
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values = np.sqrt(np.sum((np.array((xdata,ydata,zdata))**2).T,axis=1))
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self.min_x, self.max_x = -np.abs(values).max(), np.abs(values).max()
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self.set_lims()
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#Update data (with the new _and_ the old points)
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self.lines.set_data_3d(xdata, ydata, zdata)
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if not label is None:
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self.ax.set_title(label)
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#Need both of these in order to rescale
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self.ax.relim()
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self.ax.autoscale_view()
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#We need to draw *and* flush
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self.fig.canvas.draw()
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self.fig.canvas.flush_events()
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if not step is None and step%100==0:
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self.lines.set_data_3d(xdata, ydata, zdata)
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if not label is None:
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self.ax.set_title(label)
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#Need both of these in order to rescale
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self.ax.relim()
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self.ax.autoscale_view()
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#We need to draw *and* flush
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self.fig.canvas.draw()
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self.fig.canvas.flush_events()
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if not step is None and step%100==0:
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self.fig.savefig("tmp/{0:05d}.png".format(step),bbox_inches="tight")
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self.fig.savefig("tmp/{0:05d}.png".format(step),bbox_inches="tight")
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#Example
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def __call__(self):
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