wxPython-图形化数据
我在wxPython中绘制数据时遇到了一个问题——下面的代码可以工作,但并不完全正确:现在我绘制的随机数是输入框的倍数,每100ms绘制一次 我的问题是,数字的整个历史都显示为一个姿势,即(比如)25个样本的运行窗口。最初,我尝试在100个样本的每个集合上重新绘制图表,类似于,wxPython-图形化数据,python,wxpython,graphing,Python,Wxpython,Graphing,我在wxPython中绘制数据时遇到了一个问题——下面的代码可以工作,但并不完全正确:现在我绘制的随机数是输入框的倍数,每100ms绘制一次 我的问题是,数字的整个历史都显示为一个姿势,即(比如)25个样本的运行窗口。最初,我尝试在100个样本的每个集合上重新绘制图表,类似于,if(length(data)%100):drawGraph,但这看起来同样不正确 欢迎提出意见和建议 我的代码: print( "\n- Please Wait -- Importing Matplotlib and R
if(length(data)%100):drawGraph
,但这看起来同样不正确
欢迎提出意见和建议
我的代码:
print( "\n- Please Wait -- Importing Matplotlib and Related Modules...\n" )
import random
import matplotlib
import numpy
import wx
import u3
import numpy as np
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.backends.backend_wx import NavigationToolbar2Wx
from matplotlib.figure import Figure
class TemperaturePanel( wx.Panel ) :
def __init__( self, parent, position ) :
wx.Panel.__init__( self, parent, pos=position, size=(800,320) )
# initialize matplotlib
self.figure = matplotlib.figure.Figure( None, facecolor="white" )
self.canvas = matplotlib.backends.backend_wxagg.FigureCanvasWxAgg( self, -1, self.figure )
self.axes = self.figure.add_subplot(111)
self.axes.grid(True, color="gray")
self.axes.set_xbound( (0,5) )
self.axes.set_ybound( (3,80) )
self.axes.set_xlabel( "Minutes" )
self.axes.set_ylabel( "Temperature ($^\circ$C)" )
self.axes = self.figure.add_subplot(111)
self.axes.grid(True, color="gray")
self._SetSize()
self.Bind( wx.EVT_SIZE, self._SetSize )
self.TemperatureData = []
def updateTemperature(self, value):
self.TemperatureData.append( value )
length = len(self.TemperatureData)
x = np.arange( length )
y = np.array(self.TemperatureData)
yMin = round(min(y)) - 2
yMax = round(max(y)) + 2
self.axes.plot(x,y, "-k")
self.axes.set_ybound( (yMin,yMax) )
self.canvas = FigureCanvas(self, -1, self.figure)
#-----------------------------------------------------------------------------------
def _SetSize( self, event=None ):
pixels = self.GetSize()
self.SetSize( pixels )
self.canvas.SetSize( pixels )
dpi = self.figure.get_dpi()
self.figure.set_size_inches( float( pixels[0] ) / dpi,float( pixels[1] ) / dpi )
#------------------------------------------------------------------------------------
class MainWindow(wx.Frame):
def __init__(self, parent):
#wx.Frame.__init__(self, *args, **kwargs)
wx.Frame.__init__(self, parent, title="Graph Issue", size=(1000,600))
self.panel = wx.Panel(self)
self.spin = wx.SpinCtrl(self.panel)
self.button = wx.Button(self.panel, label="Update")
self.stop = wx.Button(self.panel, label="Stop")
self.sizer = wx.BoxSizer()
self.sizer.Add(self.spin)
self.sizer.Add(self.button)
self.sizer.Add(self.stop)
self.TemperatureGraph = TemperaturePanel( self, position=(20, 50) )
self.panel.SetSizerAndFit(self.sizer)
self.Show()
# Use EVT_CHAR_HOOK on Frame insted of wx.EVT_KEY_UP on SpinCtrl
# to disable "on Enter go to next widget" functionality
self.Bind(wx.EVT_CHAR_HOOK, self.OnKey)
self.button.Bind(wx.EVT_BUTTON, self.OnUpdate)
self.stop.Bind(wx.EVT_BUTTON, self.OnStop)
self.timer = wx.Timer(self)
self.Bind(wx.EVT_TIMER, self.OnTimer, self.timer)
self.Bind(wx.EVT_TIMER, self.updateTemperature, self.timer)
self.timer.Start(100)
self.value = 0
def OnKey(self, e):
if e.GetKeyCode() == wx.WXK_RETURN: # Is the key ENTER?
self.value = self.spin.GetValue() # Read SpinCtrl and set internal value
else: # Else let the event out of the handler
e.Skip()
def OnUpdate(self, e):
self.value = self.spin.GetValue() # Read SpinCtrl and set internal value
def OnTimer(self, e):
# Show internal value
print(self.value)
def updateTemperature(self, e):
Temperature = self.value*random.uniform(-1,1) # obtain currnt temperature
self.TemperatureGraph.updateTemperature(Temperature) # add temperature to graph
def OnStop(self, e):
self.timer.Stop()
self.Destroy()
app = wx.App(False)
win = MainWindow(None)
app.MainLoop()
如果我正确理解了这个问题,您只需要在图表中显示25个最后的温度值,而不是所有值的历史记录。如果这是您想要的,那么在
updateTemperature
子例程中,只应绘制最后25个值:
if length < 25:
x = np.arange(length)
y = np.array(self.TemperatureData)
else:
x = np.arange(length-25, length)
y = np.array(self.TemperatureData)[-25:]
我不明白你的问题。我建议你重写或编辑以“我的问题…”开头的段落。第一句话对我来说没有意义,下一句也是最后一句,“看起来不正确”并不是很有用。谢谢你,汤姆10-安德烈·索波列夫明白了
xMin = 0 if length < 25 else length-25
xMax = 25 if length < 25 else length
self.axes.set_xbound( (xMin,xMax) )
self.canvas.draw()