58 lines
1.7 KiB
Python
Executable File
58 lines
1.7 KiB
Python
Executable File
#!/usr/bin/python
|
|
# -*- coding:utf-8 -*-
|
|
"""
|
|
Implementation of the plotting and visualization functions.
|
|
"""
|
|
import numpy as np
|
|
import time
|
|
import matplotlib.pyplot as plt
|
|
|
|
class DynamicUpdate():
|
|
#Suppose we know the x range
|
|
min_x = -10
|
|
max_x = 10
|
|
|
|
plt.ion()
|
|
|
|
def on_launch(self):
|
|
#Set up plot
|
|
self.fig = plt.figure()
|
|
self.ax = self.fig.add_subplot(projection='3d')
|
|
self.lines, = self.ax.plot([],[],[],'o')
|
|
#Autoscale on unknown axis and known lims on the other
|
|
self.ax.set_autoscaley_on(True)
|
|
self.ax.set_xlim(self.min_x, self.max_x)
|
|
self.ax.set_ylim(self.min_x, self.max_x)
|
|
self.ax.set_zlim(self.min_x, self.max_x)
|
|
#Other stuff
|
|
self.ax.grid()
|
|
#self.ax.set_aspect('equal')
|
|
|
|
def on_running(self, xdata, ydata, zdata, step=None, label=None):
|
|
#Update data (with the new _and_ the old points)
|
|
self.lines.set_data_3d(xdata, ydata, zdata)
|
|
if not label is None:
|
|
self.ax.set_title(label)
|
|
#Need both of these in order to rescale
|
|
self.ax.relim()
|
|
self.ax.autoscale_view()
|
|
#We need to draw *and* flush
|
|
self.fig.canvas.draw()
|
|
self.fig.canvas.flush_events()
|
|
if not step is None and step%50==0:
|
|
self.fig.savefig("tmp/{0:05d}.png".format(step),bbox_inches="tight")
|
|
|
|
#Example
|
|
def __call__(self):
|
|
import numpy as np
|
|
import time
|
|
self.on_launch()
|
|
xdata = []
|
|
ydata = []
|
|
for x in np.arange(0,10,0.5):
|
|
xdata.append(x)
|
|
ydata.append(np.exp(-x**2)+10*np.exp(-(x-7)**2))
|
|
self.on_running(xdata, ydata)
|
|
time.sleep(1)
|
|
return xdata, ydata
|