x64，W10，Python 3.7
我一直在使用this question答案中的代码。
import matplotlib.pyplot as plt
plt.ion()
class DynamicUpdate():
#Suppose we know the x range
min_x = 0
max_x = 10
def on_launch(self):
#Set up plot
self.figure, self.ax = plt.subplots()
self.lines, = self.ax.plot([],[], 'ro')
#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)
#Other stuff
self.ax.grid()
def on_running(self, xdata, ydata):
#Update data (with the new _and_ the old points)
self.lines.set_xdata(xdata)
self.lines.set_ydata(ydata)
#Need both of these in order to rescale
self.ax.relim()
self.ax.autoscale_view()
#We need to draw *and* flush
self.figure.canvas.draw()
self.figure.canvas.flush_events()
#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
d = DynamicUpdate()
d()
这几乎就是我所追求的，并且在我的应用程序中表现很好，只是我希望绘图也可以更新标记的颜色。我尝试了以下更改...
在on_launch
self.lines, = self.ax.plot([],[],[])
然后在on_running(self, xdata, ydata)
def on_running(self, xdata, ydata, col):
..并替换
self.lines.set_xdata(xdata)
self.lines.set_ydata(ydata)
使用
self.lines.set_data(xdata, ydata, col)
我也尝试过
self.lines.set_data([xdata, ydata, col])
然后从def __call__(self):
我试图通过。
self.on_running(xdata, ydata, 'bo')
我收到以下错误信息...
File "C:/Users/Technical/.spyder-py3/temp.py", line 11, in on_launch
self.lines, = self.ax.plot([],[], [])
ValueError: too many values to unpack (expected 1)
在这种情况下，如何正确传递marker参数？