blocks|key|152869|text|type|unstyled|depth|inlineStyleRanges|entityRanges|data|152870|为此，我基本上使用一个数组来存储我的结果，在这个数组中，我不断地将它追加到|blockquote|152871|152872|152873|尝试限制此数组的大小，方法是删除旧数据或删除第n个条目(屏幕分辨率将阻止显示所有条目)。我假设您将所有数据写入磁盘，这样就不会丢失任何数据。|152874|另外，分析你的代码是否有内存泄漏。你使用的和不再需要的东西，但不会被垃圾收集，因为你仍然有对它的引用。|152875|entityMap^0|0|0|0|0|0|0^^$0|@$1|2|3|-4|4|5|6|L|7|@]|8|@]|9|$]]|$1|A|3|B|4|C|6|M|7|@]|8|@]|9|$]]|$1|D|3|-4|4|5|6|N|7|@]|8|@]|9|$]]|$1|E|3|-4|4|5|6|O|7|@]|8|@]|9|$]]|$1|F|3|G|4|5|6|P|7|@]|8|@]|9|$]]|$1|H|3|I|4|5|6|Q|7|@]|8|@]|9|$]]|$1|J|3|-4|4|5|6|R|7|@]|8|@]|9|$]]]|K|$]]

<blockquote>
 To do this, I basically use an array
 to store my results, in which I keep
 appending it to
</blockquote>

Try limiting the size of this array, either by deleting old data or by deleting every n-th entry (the screen resolution will prevent all entries to be displayed anyway). I assume you write all the data to disk so you won't lose anything.

Also, analise your code for memory leaks. Stuff you use and don't need anymore but that doesn't get garbage-collected because you still have a reference to it.

blocks|key|1454499|text|我已经用pythons+Tkinter创建了这样一个组件。来源是here。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1454500|基本上，您必须将绘制的数据保存在某个地方。您不能在内存中保留无限数量的数据点，因此您必须将其保存到磁盘或覆盖旧数据点。|1454501|entityMap|0|LINK|mutability|MUTABLE|url|http://code.google.com/p/asuro-syd/source/browse/lib/pysyd/SydPlot.py^0|W|4|0|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@$A|O|B|P|1|Q]]|C|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@]|C|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]]]

I have created such a component with pythons Tkinter. The source is <a href="http://code.google.com/p/asuro-syd/source/browse/lib/pysyd/SydPlot.py" rel="nofollow noreferrer">here</a>. 

Basically, you have to keep the plotted data somewhere. You cannot keep an infinite amount of data points in memory, so you either have to save it to disk or you have to overwrite old data points.

blocks|key|152450|text|数据和数据的表示是两码事。如果数据是稍后要分析的重要数据，您可能希望将数据存储到磁盘，但只保留固定的时间段或最后N个点用于显示。您甚至可以让用户选择要显示的时间范围。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|152451|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

Data and representation of data are two different things. You might want to store your data to disk if it's important data to be analyzed later, but only keep a fixed period of time or the last N points for display purposes. You could even let the user pick the time frame to be displayed.

blocks|key|152975|text|我实际上遇到了这个问题(实际上，更多的是心理障碍...)。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|152976|首先，我从wx+Demo+Code复制粘贴了一些wx绘图代码。|offset|length|152977|我所做的是保存一个值的实时日志，并将其与两个标记(min和max，显示为红色和绿色虚线)进行比较(但我将使这两个标记成为可选的-因此有可选的参数)。|152978|为了实现实时日志，我首先想使用deque类，但由于数据处于元组模式(x，y坐标)，我放弃了，只是尝试重写元组的整个参数列表:请参阅_update_coordinates。|152979|它可以很好地跟踪最近100-10,000个图。还会包括一个printscreen，但我在stackoverflow方面太新手了，不允许:))|152980|我的live参数通过115kbps的UART每0.25秒更新一次。|152981|诀窍在最后，在自定义刷新方法中！|152982|下面是大部分代码：|152983|class+DefaultPlotFrame(wx.Frame):
++++def+__init__(self,+ymin=0,+ymax=MAXIMUM_PLOTS,+minThreshold=None,+
+++++++++++++maxThreshold=None,+plotColour='blue',
+++++++++++++title="Default+Plot+Frame",+
+++++++++++++position=(10,10),
+++++++++++++backgroundColour="yellow",+frameSize=(400,300)):

++++++++self.minThreshold+=+minThreshold
++++++++self.maxThreshold+=+maxThreshold
++++++++self.frame1+=+wx.Frame(None,+title="wx.lib.plot",+id=-1,+size=(410,+340),+pos=position)
++++++++self.panel1+=+wx.Panel(self.frame1)
++++++++self.panel1.SetBackgroundColour(backgroundColour)
++++++++self.ymin+=+ymin
++++++++self.ymax+=+ymax
++++++++self.title+=+title
++++++++self.plotColour+=+plotColour

++++++++self.lines+=+[None,+None,+None]++++++++++++++++

+++++++#+mild+difference+between+wxPython26+and+wxPython28++++++++
+++++++if+wx.VERSION[1]+<+7:
+++++++++++self.plotter+=+plot.PlotCanvas(self.panel1,+size=frameSize)
+++++++else:
+++++++++++self.plotter+=+plot.PlotCanvas(self.panel1)
+++++++self.plotter.SetInitialSize(size=frameSize)
+++++++#+enable+the+zoom+feature+(drag+a+box+around+area+of+interest)
+++++++self.plotter.SetEnableZoom(False)

+++++++#+list+of+(x,y)+data+point+tuples++++++++
+++++++self.coordinates+=+[]+++
+++++++for+x_item+in+range(MAXIMUM_PLOTS):
+++++++++++self.coordinates.append((x_item,+(ymin%2Bymax)/2))

+++++++self.queue+=+deque(self.coordinates)++++++++++++

+++++++if+self.maxThreshold!=None:++++++++++++
+++++++++++self._update_max_threshold()+++++++++++++
+++++++#endif+++++++++++

+++++++if+self.lockThreshold!=None:++++++++++++
+++++++++++self._update_min_threshold()++++++++++++
+++++++#endif

+++++++self.line+=+plot.PolyLine(self.coordinates,+colour=plotColour,+width=1)++++++++++++++++
+++++++self.lines[0]+=+(self.line)+++++++++++++++++++++++++++++++++++++++++++++++++++++

+++++++self.gc+=+plot.PlotGraphics(self.lines,+title,+'Time',+'Value')
+++++++self.plotter.Draw(self.gc,+xAxis=(0,+MAXIMUM_PLOTS),+yAxis=(ymin,+ymax))++++++++++++

+++++++self.frame1.Show(True)

++++def+_update_max_threshold(self):
++++++++if+self.maxThreshold!=None:
+++++++++++self.maxCoordinates+=+[]
+++++++++++for+x_item+in+range(MAXIMUM_PLOTS):
+++++++++++++++self.maxCoordinates.append((x_item,+self.maxThreshold))
+++++++++++#endfor
+++++++++++self.maxLine+=+plot.PolyLine(self.maxCoordinates,+colour="green",+width=1)
+++++++++++self.maxMarker+=+plot.PolyMarker(self.maxCoordinates,+colour="green",+marker='dot')
+++++++++++self.lines[1]+=+self.maxMarker+
++++++++#endif++

+++def+_update_live_param(self,+liveParam,+minParam,+maxParam):
++++++++if+minParam!=None:
++++++++++++self.minThreshold+=+int(minParam)
++++++++++++self._update_min_threshold()
++++++++#endif

++++++++if+maxParam!=None:
++++++++++++self.maxThreshold+=+int(maxParam)
++++++++++++self._update_max_threshold()+
++++++++#endif

++++++++if+liveParam!=None:++++++++++++
++++++++++++self._update_coordinates(int(liveParam))
++++++++#endif

++++def+_update_coordinates(self,+newValue):
++++++++newList+=+[]+++++++++
++++++++for+x,y+in+self.coordinates[1:]:++++++++++++
++++++++++++newList.append((x-1,+y))
++++++++#endfor
++++++++newList.append((x,+newValue))
++++++++print+"New+list",+newList

++++++++self.line+=+(plot.PolyLine(newList,+colour=self.plotColour,+width=1))
++++++++self.lines[0]+=+self.line
++++++++self.coordinates+=+newList

++++def+_MyLIVE_MAGIC_refresh__(self,+liveParam=None,+minParam=None,+maxParam=None):+++
++++++++self._update_live_param(liveParam,+minParam,+maxParam)
++++++++self.gc+=+plot.PlotGraphics(self.lines,+self.title,+'Time',+'Value')
++++++++self.plotter.Draw(self.gc,+xAxis=(0,+MAXIMUM_PLOTS),+yAxis=(self.ymin,+self.ymax))++++++++++++
++++++++self.plotter.Refresh()++++++++++++
++++++++self.frame1.Refresh()|code-block|syntax|javascript|152984|entityMap|0|LINK|mutability|MUTABLE|url|http://wiki.wxpython.org/Using%2520wxPython%2520Demo%2520Code^0|0|5|C|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|14|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|15|8|@]|9|@$D|16|E|17|1|18]]|A|$]]|$1|F|3|G|5|6|7|19|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|1A|8|@]|9|@]|A|$]]|$1|J|3|K|5|6|7|1B|8|@]|9|@]|A|$]]|$1|L|3|M|5|6|7|1C|8|@]|9|@]|A|$]]|$1|N|3|O|5|6|7|1D|8|@]|9|@]|A|$]]|$1|P|3|Q|5|6|7|1E|8|@]|9|@]|A|$]]|$1|R|3|S|5|T|7|1F|8|@]|9|@]|A|$U|V]]|$1|W|3|-4|5|6|7|1G|8|@]|9|@]|A|$]]]|X|$Y|$5|Z|10|11|A|$12|13]]]]

I actually ran into this problem (more of a mental block, actually...).

First of all I copy-pasted some wx Plot code from <a href="http://wiki.wxpython.org/Using%20wxPython%20Demo%20Code" rel="nofollow">wx Demo Code</a>. 

What I do is keep a live log of a value, and compare it to two markers (min and max, shown as red and green dotted lines) (but I will make these 2 markers optional - hence the optional parameters).

In order to implement the live log, I first wanted to use the deque class, but since the data is in tuple mode (x,y coordinates) I gave up and just tried to rewrite the entire parameter list of tuples: see _update_coordinates.

It works just fine for keeping track of the last 100-10,000 plots. Would have also included a printscreen, but I'm too much of a noob at stackoverflow to be allowed :))

My live parameter is updated every 0.25 seconds over a 115kbps UART.

The trick is at the end, in the custom refresh method!

Here is most of the code:

<pre><code>class DefaultPlotFrame(wx.Frame):
 def __init__(self, ymin=0, ymax=MAXIMUM_PLOTS, minThreshold=None, 
 maxThreshold=None, plotColour='blue',
 title="Default Plot Frame", 
 position=(10,10),
 backgroundColour="yellow", frameSize=(400,300)):

 self.minThreshold = minThreshold
 self.maxThreshold = maxThreshold
 self.frame1 = wx.Frame(None, title="wx.lib.plot", id=-1, size=(410, 340), pos=position)
 self.panel1 = wx.Panel(self.frame1)
 self.panel1.SetBackgroundColour(backgroundColour)
 self.ymin = ymin
 self.ymax = ymax
 self.title = title
 self.plotColour = plotColour

 self.lines = [None, None, None] 

 # mild difference between wxPython26 and wxPython28 
 if wx.VERSION[1] &lt; 7:
 self.plotter = plot.PlotCanvas(self.panel1, size=frameSize)
 else:
 self.plotter = plot.PlotCanvas(self.panel1)
 self.plotter.SetInitialSize(size=frameSize)
 # enable the zoom feature (drag a box around area of interest)
 self.plotter.SetEnableZoom(False)

 # list of (x,y) data point tuples 
 self.coordinates = [] 
 for x_item in range(MAXIMUM_PLOTS):
 self.coordinates.append((x_item, (ymin+ymax)/2))

 self.queue = deque(self.coordinates) 

 if self.maxThreshold!=None: 
 self._update_max_threshold() 
 #endif 

 if self.lockThreshold!=None: 
 self._update_min_threshold() 
 #endif

 self.line = plot.PolyLine(self.coordinates, colour=plotColour, width=1) 
 self.lines[0] = (self.line) 

 self.gc = plot.PlotGraphics(self.lines, title, 'Time', 'Value')
 self.plotter.Draw(self.gc, xAxis=(0, MAXIMUM_PLOTS), yAxis=(ymin, ymax)) 

 self.frame1.Show(True)

 def _update_max_threshold(self):
 if self.maxThreshold!=None:
 self.maxCoordinates = []
 for x_item in range(MAXIMUM_PLOTS):
 self.maxCoordinates.append((x_item, self.maxThreshold))
 #endfor
 self.maxLine = plot.PolyLine(self.maxCoordinates, colour="green", width=1)
 self.maxMarker = plot.PolyMarker(self.maxCoordinates, colour="green", marker='dot')
 self.lines[1] = self.maxMarker 
 #endif 

 def _update_live_param(self, liveParam, minParam, maxParam):
 if minParam!=None:
 self.minThreshold = int(minParam)
 self._update_min_threshold()
 #endif

 if maxParam!=None:
 self.maxThreshold = int(maxParam)
 self._update_max_threshold() 
 #endif

 if liveParam!=None: 
 self._update_coordinates(int(liveParam))
 #endif

 def _update_coordinates(self, newValue):
 newList = [] 
 for x,y in self.coordinates[1:]: 
 newList.append((x-1, y))
 #endfor
 newList.append((x, newValue))
 print "New list", newList

 self.line = (plot.PolyLine(newList, colour=self.plotColour, width=1))
 self.lines[0] = self.line
 self.coordinates = newList

 def _MyLIVE_MAGIC_refresh__(self, liveParam=None, minParam=None, maxParam=None): 
 self._update_live_param(liveParam, minParam, maxParam)
 self.gc = plot.PlotGraphics(self.lines, self.title, 'Time', 'Value')
 self.plotter.Draw(self.gc, xAxis=(0, MAXIMUM_PLOTS), yAxis=(self.ymin, self.ymax)) 
 self.plotter.Refresh() 
 self.frame1.Refresh()
</code></pre>

I have been developing a GUI for reading continuous data from a serial port. After reading the data, some calculations are made and the results will be plotted and refreshed (aka dynamic plotting). I use the wx backend provided in the matplotlib for this purposes. To do this, I basically use an array to store my results, in which I keep appending it to, after each calculation, and replot the whole graph. To make it "dynamic", I just set the x-axis lower and upper limits for each iteration. Something like found in: 

<a href="http://eli.thegreenplace.net/2008/08/01/matplotlib-with-wxpython-guis/" rel="nofollow noreferrer">http://eli.thegreenplace.net/2008/08/01/matplotlib-with-wxpython-guis/</a>

The problem, however, is that since the data is continuous, and if I keep plotting it, eventually the system memory will run out and system will crash. Is there any other way I can plot my result continuously?

dynamic plotting in wxpython

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我一直在开发一个用于从串口读取连续数据的GUI。读取数据后，进行一些计算，并绘制和刷新结果(也称为动态绘图)。为此，我使用matplotlib中提供的wx后端。为了做到这一点，我基本上使用一个数组来存储我的结果，在每次计算之后，我都会将其追加到数组中，并重新绘制整个图形。为了让它变得“动态”，我只是为每次迭代设置了x轴的下限和上限。类似于以下位置的内容：然而，问题是，由于数据是连续的，如果我继续绘

问wxpython中的动态绘图
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回答 4

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