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#-----------------------------------------------------------------------------
# Name: quivVarFrame.py
# Purpose: Miniframe to do the vector field plot
#
# Author: Flavio Codeco Coelho
#
# Created: 2006/08/20
# RCS-ID: $Id: quivVarFrame.py $
# Copyright: (c) 2004-2006
# Licence: GPL
# New field: Whatever
#-----------------------------------------------------------------------------
#Boa:MiniFrame:quivVarFrame
import wxversion
wxversion.select('2.8')
import wx
import wx.lib.buttons
import PlotFigure as PF
from Model import Model
from numpy import *
from numpy.random import normal
ch=['a','b','c']
def create(parent):
return quivVarFrame(parent)
[wxID_QUIVVARFRAME, wxID_QUIVVARFRAMEDRAWTRAJCHECK,
wxID_QUIVVARFRAMEINITSCTRL, wxID_QUIVVARFRAMEINITSTEXT,
wxID_QUIVVARFRAMELENGTHTEXT, wxID_QUIVVARFRAMELIMITSCTRL,
wxID_QUIVVARFRAMELIMITSTEXT, wxID_QUIVVARFRAMEPLOTBUTTON,
wxID_QUIVVARFRAMETRAJBOX, wxID_QUIVVARFRAMETRAJLENSPIN,
wxID_QUIVVARFRAMEVARLIST1, wxID_QUIVVARFRAMEVARLIST2,
wxID_QUIVVARFRAMEXVARTEXT, wxID_QUIVVARFRAMEYVARTEXT,
] = [wx.NewId() for _init_ctrls in range(14)]
class quivVarFrame(wx.MiniFrame):
def _init_ctrls(self, prnt):
# generated method, don't edit
wx.MiniFrame.__init__(self, id=wxID_QUIVVARFRAME, name='quivVarFrame',
parent=prnt, pos=wx.Point(449, 282), size=wx.Size(334, 244),
style=wx.DEFAULT_FRAME_STYLE,
title='Select Variables')
self.SetClientSize(wx.Size(334, 244))
self.Center(wx.BOTH)
self.SetAutoLayout(True)
self.SetMinSize(wx.Size(334, 244))
self.SetMaxSize(wx.Size(334, 244))
self.xvarText = wx.StaticText(id=wxID_QUIVVARFRAMEXVARTEXT,
label='X - axis', name='xvarText', parent=self, pos=wx.Point(16,
16), size=wx.Size(48, 16), style=0)
self.yvarText = wx.StaticText(id=wxID_QUIVVARFRAMEYVARTEXT,
label='Y - axis', name='yvarText', parent=self, pos=wx.Point(200,
16), size=wx.Size(64, 16), style=0)
self.varList1 = wx.ComboBox(choices=ch, id=wxID_QUIVVARFRAMEVARLIST1,
name='varList1', parent=self, pos=wx.Point(16, 40),
size=wx.Size(128, 24), style=0, value='Select Variable')
self.varList1.SetLabel('')
self.varList1.SetToolTipString('Select variable for the X axis.')
self.varList1.Bind(wx.EVT_COMBOBOX, self.OnVarList1Combobox,
id=wxID_QUIVVARFRAMEVARLIST1)
self.varList2 = wx.ComboBox(choices=ch, id=wxID_QUIVVARFRAMEVARLIST2,
name='varList2', parent=self, pos=wx.Point(192, 40),
size=wx.Size(128, 25), style=0, value='Select Variable')
self.varList2.SetLabel('')
self.varList2.SetToolTipString('Select Variable for the Y axis.')
self.varList2.Bind(wx.EVT_COMBOBOX, self.OnVarList2Combobox,
id=wxID_QUIVVARFRAMEVARLIST2)
self.trajBox = wx.StaticBox(id=wxID_QUIVVARFRAMETRAJBOX,
label='Trajectory Plot', name='trajBox', parent=self,
pos=wx.Point(16, 120), size=wx.Size(304, 112), style=0)
self.trajBox.SetMinSize(wx.Size(304, 130))
self.trajBox.SetBestFittingSize(wx.Size(304, 112))
self.drawTrajCheck = wx.CheckBox(id=wxID_QUIVVARFRAMEDRAWTRAJCHECK,
label='Draw trajectory', name='drawTrajCheck', parent=self,
pos=wx.Point(32, 136), size=wx.Size(136, 24), style=0)
self.drawTrajCheck.SetValue(False)
self.drawTrajCheck.SetToolTipString('Check to superimpose a trajectory on the state diagram.')
self.drawTrajCheck.SetThemeEnabled(True)
self.drawTrajCheck.Bind(wx.EVT_CHECKBOX, self.OnDrawTrajCheckCheckbox,
id=wxID_QUIVVARFRAMEDRAWTRAJCHECK)
self.initsText = wx.StaticText(id=wxID_QUIVVARFRAMEINITSTEXT,
label='Initial Conditions:', name='initsText', parent=self,
pos=wx.Point(32, 176), size=wx.Size(112, 16), style=0)
self.initsText.Enable(False)
self.initsCtrl = wx.TextCtrl(id=wxID_QUIVVARFRAMEINITSCTRL,
name='initsCtrl', parent=self, pos=wx.Point(144, 168),
size=wx.Size(160, 24), style=0, value='')
self.initsCtrl.SetToolTipString('Enter the initial conditions for the trajectory.')
self.initsCtrl.SetThemeEnabled(True)
self.initsCtrl.Enable(False)
self.trajlenSpin = wx.SpinCtrl(id=wxID_QUIVVARFRAMETRAJLENSPIN,
initial=10, max=5000, min=2, name='trajlenSpin', parent=self,
pos=wx.Point(88, 200), size=wx.Size(72, 24),
style=wx.SP_ARROW_KEYS)
self.trajlenSpin.SetValue(10)
self.trajlenSpin.SetThemeEnabled(True)
self.trajlenSpin.Enable(False)
self.lengthText = wx.StaticText(id=wxID_QUIVVARFRAMELENGTHTEXT,
label='Length:', name='lengthText', parent=self, pos=wx.Point(32,
208), size=wx.Size(56, 16), style=0)
self.lengthText.Enable(False)
self.plotButton = wx.lib.buttons.GenButton(ID=wxID_QUIVVARFRAMEPLOTBUTTON,
label='Plot', name='plotButton', parent=self, pos=wx.Point(232,
80), size=wx.Size(89, 31), style=0)
self.plotButton.Bind(wx.EVT_BUTTON, self.OnPlotButtonButton,
id=wxID_QUIVVARFRAMEPLOTBUTTON)
self.limitsText = wx.StaticText(id=wxID_QUIVVARFRAMELIMITSTEXT,
label='Limits:', name='limitsText', parent=self, pos=wx.Point(16,
88), size=wx.Size(48, 16), style=0)
self.limitsCtrl = wx.TextCtrl(id=wxID_QUIVVARFRAMELIMITSCTRL,
name='limitsCtrl', parent=self, pos=wx.Point(64, 80),
size=wx.Size(160, 24), style=0, value='Xmin Xmax Ymin Ymax')
self.limitsCtrl.SetThemeEnabled(True)
self.limitsCtrl.SetToolTipString('Enter the axes limits separated by spaces: Xmin Xmax Ymin Ymax')
def __init__(self, parent):
self._init_ctrls(parent)
self.Xselected = self.Yselected = 0
def OnDrawTrajCheckCheckbox(self, event):
"""
enable the superimposition of a trajectory on the quiver plot
"""
if self.drawTrajCheck.IsChecked():
self.lengthText.Enable(True)
self.trajlenSpin.Enable(True)
self.initsCtrl.Enable(True)
self.initsText.Enable(True)
else:
self.lengthText.Enable(False)
self.trajlenSpin.Enable(False)
self.initsCtrl.Enable(False)
self.initsText.Enable(False)
event.Skip()
def OnPlotButtonButton(self, event):
if not self.Xselected and self.Yselected:
dlg = wx.MessageDialog(self, 'Please select X and Y variables.',
'Variables not Selected', wx.OK | wx.ICON_INFORMATION)
try:
dlg.ShowModal()
finally:
dlg.Destroy()
return
try:
self.limits = [float(i) for i in self.limitsCtrl.GetValue().strip().split(' ')]
except ValueError:
dlg = wx.MessageDialog(self, 'Please enter only number for the axes limits.',
'Non numerical limits', wx.OK | wx.ICON_INFORMATION)
try:
dlg.ShowModal()
finally:
dlg.Destroy()
return
inits = array([float(i) for i in self.initsCtrl.GetValue().strip().split(' ')])
lengt = int(self.trajlenSpin.GetValue())
if self.drawTrajCheck.IsChecked():
self.calcPlot(inits,lengt,traj=1)
else:
self.calcPlot(inits,lengt,traj=0)
self.Destroy()
def calcPlot(self,inits=None,lengt=None,traj=0):
"""
Generate the data to be plotted
"""
xstep = (self.limits[1]-self.limits[0])/15.
ystep = (self.limits[3]-self.limits[2])/15.
if not inits.any():
inits = array([float(i) for i in self.modict['init'].strip().split(' ')])
Plot = PF.create(None)
trajetoria = []
if traj:
M = Model(self.modict['equations'],self.modict['parameters'],inits,lengt)
results = M.Run()
#print results[0][0].shape
trajetoria.append(results[0][0][:,self.var1])
trajetoria.append(results[0][0][:,self.var2])
xbump = normal(inits[self.var1],xstep,6)
ybump = normal(inits[self.var2],ystep,6)
for i in xrange(6): #calculate
inits[self.var1] = xbump[i]
inits[self.var2] = ybump[i]
M = Model(self.modict['equations'],self.modict['parameters'],inits,lengt)
results = M.Run()
#print results[0][0].shape
trajetoria.append(results[0][0][:,self.var1])
trajetoria.append(results[0][0][:,self.var2])
x=[];y=[];u=[];v=[]
for i in arange(self.limits[0],self.limits[1],xstep):
for j in arange(self.limits[2],self.limits[3],ystep):
#print inits, type(inits)
inits[self.var1] = i
inits[self.var2] = j
M = Model(self.modict['equations'],self.modict['parameters'],inits,1)
results = M.Run()
#print results[0][0].shape
x.append(i)
y.append(j)
u.append(results[0][0][1,self.var1])
v.append(results[0][0][1,self.var2])
x=array(x)
y=array(y)
u=array(u)
v=array(v)
c = sqrt((u-x)**2+(v-y)**2) #map color to the size of the vector
Plot.vectorField(x,y,u-x,v-y,c=c,xlabel=self.X,ylabel=self.Y,trajectory=trajetoria)
Plot.Show()
def OnVarList1Combobox(self, event):
self.X = self.varList1.GetValue()
self.var1 = ch.index(self.X)
self.Xselected = 1
def OnVarList2Combobox(self, event):
self.Y = self.varList2.GetValue()
self.var2 = ch.index(self.Y)
self.Yselected = 1
if __name__ == '__main__':
app = wx.PySimpleApp()
wx.InitAllImageHandlers()
frame = create(None)
frame.Show()
app.MainLoop()
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