Plotter2D.py 23 KB
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#MDANSE : Molecular Dynamics Analysis for Neutron Scattering Experiments
#------------------------------------------------------------------------------------------
#Copyright (C)
#2015- Eric C. Pellegrini Institut Laue-Langevin
#BP 156
#6, rue Jules Horowitz
#38042 Grenoble Cedex 9
#France
#pellegrini[at]ill.fr
#goret[at]ill.fr
#aoun[at]ill.fr
#
#This library is free software; you can redistribute it and/or
#modify it under the terms of the GNU Lesser General Public
#License as published by the Free Software Foundation; either
#version 2.1 of the License, or (at your option) any later version.
#
#This library is distributed in the hope that it will be useful,
#but WITHOUT ANY WARRANTY; without even the implied warranty of
#MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
#Lesser General Public License for more details.
#
#You should have received a copy of the GNU Lesser General Public
#License along with this library; if not, write to the Free Software
#Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA

''' 
Created on Apr 10, 2015

:author: Gael Goret, Bachir Aoun, Eric C. Pellegrini
'''

import collections
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from distutils.version import LooseVersion
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import numpy

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import matplotlib
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from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg, NavigationToolbar2WxAgg
from matplotlib.figure import Figure
from matplotlib.colors import LogNorm, Normalize

import wx

from MDANSE.Core.Error import Error
from MDANSE.Externals.magnitude import magnitude

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from MDANSE.GUI.Plugins.PlotterSettings import ImageSettingsDialog
from MDANSE.GUI.Plugins.PlotterTicker import ScaledFormatter, ScaledLocator
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NORMALIZER = {'log': LogNorm(), 'auto' : Normalize()}

class CrossSlicer(object):
    
    def __init__(self, parent, canvas, dialog, hplot, vplot, fig, color_index, hlegend, vlegend):
        self.related_plot = parent        
        self.canvas = canvas       
        self.dialog = dialog
        self.hplot = hplot
        self.vplot = vplot
        self.fig = fig
        self.color_index =color_index
        self.hlegend = hlegend
        self.vlegend = vlegend

class Plotter2DError(Error):
    pass   

class Plotter2D(wx.Panel):
    
    type = 'image'
    
    def __init__(self, parent, data = None):
        wx.Panel.__init__(self, parent, wx.ID_ANY)
        
        self.setting = None
                
        ### Initialize variables ###
        self.parent = parent
        self.figure = Figure(figsize=(5,4), dpi=None)
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        if LooseVersion(matplotlib.__version__) < LooseVersion("2.0.0"):
            self.axes = self.figure.add_axes( (10,10,10,10), frameon=True, axis_bgcolor='b')
        else:
            self.axes = self.figure.add_axes( (10,10,10,10), frameon=True, facecolor='b')
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        self.canvas = FigureCanvasWxAgg( self, wx.ID_ANY, self.figure )
        self.toolbar = NavigationToolbar2WxAgg(self.canvas)
        self.ax = None
        self.color_bar = None
        self.slice_checkbox = wx.CheckBox(self, id=wx.ID_ANY, label="Slicing mode")
        
        self.annotation =  wx.StaticText(self, label='x : , y : , data[x,y] :' , style=wx.ALIGN_CENTER_VERTICAL)
        
        hsizer = wx.BoxSizer()
        hsizer.Add(self.toolbar, 0, flag=wx.ALL|wx.EXPAND)
        hsizer.Add(self.slice_checkbox, 0, flag=wx.EXPAND|wx.ALIGN_CENTER_VERTICAL|wx.ALL )
        
        ### sizer ###
        self.sizer = wx.BoxSizer(wx.VERTICAL)
        self.sizer.Add(self.canvas, 1, flag=wx.EXPAND) 
        self.sizer.Add(hsizer, 0, flag=wx.EXPAND)
        self.SetSizer(self.sizer) 
        
        ### set bindings ###
        self.Bind(wx.EVT_CHECKBOX, self.slice, id = self.slice_checkbox.GetId())
        
        # Slice attributes
        self.unique = False
        self.slice_event_id = None
        
        self.slice_coords = []
        self.slice_widget = []
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        self.cross_slice_canvas = None 
        self.cross_slice_dialog = None
        self.h_cross_slice_plot = None
        self.v_cross_slice_plot = None
        self.cross_slice_fig = None
        self.cross_slice_color_index = -1
        self.h_cross_slice_legend = []
        self.v_cross_slice_legend = []
        self.color_list = collections.OrderedDict([['blue','b'],['green','g'],['red','r'],['cyan','c'],['magenta','m'],['yellow','y'],['black','k']])
        
        self.Xmin = 0
        self.Ymin = 0
        self.Xmax = 0
        self.Ymax = 0
        
        self.Xunit = None
        self.Yunit = None
        
        self.Xinit_unit = None
        self.Yinit_unit = None
        
        self.Xaxis =  [] 
        self.Yaxis =  []
        
        self.Xaxis_label = ''
        self.Yaxis_label = ''
        
        self.Xticks =  [] 
        self.Yticks =  []
        
        self.Xlabel = ''
        self.Ylabel = ''
        
        self.aspect = 'equal'
        self.interpolation = 'nearest'
        self.normType = 'none'
        
        hsizer = wx.BoxSizer()
        hsizer.Add(self.toolbar, 0, flag=wx.ALL|wx.EXPAND)
        hsizer.Add(self.slice_checkbox, 0, flag=wx.EXPAND|wx.ALIGN_CENTER_VERTICAL|wx.ALL )
        hsizer.AddSpacer(25)
        hsizer.Add(self.annotation, 0, flag=wx.ALIGN_CENTER_VERTICAL)
        self.sizer = wx.BoxSizer(wx.VERTICAL)
        self.sizer.Add(self.canvas, 1, flag=wx.EXPAND) 
        self.sizer.Add(hsizer, 0, flag=wx.EXPAND)
        self.SetSizer(self.sizer) 
        
        ### set bindings ###
        self.Bind(wx.EVT_CHECKBOX, self.slice, id = self.slice_checkbox.GetId())
        self.menu_event_id = self.canvas.mpl_connect('button_press_event', self.on_click)
        self.on_motion_id = self.canvas.mpl_connect('motion_notify_event', self.on_motion)
        #### sizer automatically fitting window size ####
        self.toolbar.Realize()
        self.SetSizeHints(600,500,1000,1000) # SetSizeHints(minW, minH, maxW, maxH)
        self.sizer.Fit(self)
        self.Show(True)
    
    @property
    def dataproxy(self):
        return self.parent.dataproxy
    
    @property
    def fmt_Xunit(self):
        if not self.Xunit:
            return ''
        else:    
            return ' (' + self.Xunit + ')'
    
    @property
    def fmt_Yunit(self):
        if not self.Yunit:
            return ''
        else:    
            return ' (' + self.Yunit + ')'
        
    def on_click(self, event = None):
        if event.button != 3:
            return
        
        popupMenu = wx.Menu()

        settings = popupMenu.Append(wx.ID_ANY, "Settings")
        popupMenu.Bind(wx.EVT_MENU, self.image_setting_dialog, settings)
        
        popupMenu.AppendSeparator()
        
        export = popupMenu.Append(wx.ID_ANY, "Export data")
        popupMenu.Bind(wx.EVT_MENU, self.export_data, export)

        self.canvas.ReleaseMouse()
        wx.CallAfter(self.PopupMenu, popupMenu) 
    
    def on_motion(self, event):
        if event.inaxes:
            x = event.xdata
            y = event.ydata
            if self.Xmin <= x and x <= self.Xmax and self.Ymin <= y and y <= self.Ymax:
                try:
                    dx = (self.Xmax - self.Xmin)/float(self.data.shape[1])
                    dy = (self.Ymax - self.Ymin)/float(self.data.shape[0])
                    X = numpy.floor((x - self.Xmin)/dx)
                    Y = numpy.floor((y - self.Ymin)/dy)
                    i = self.data[Y, X]
                    self.annotation.SetLabel('x : %g (%g), y : %g (%g), data[x,y] : %g'%(X,x*self.Xunit_conversion_factor,Y,y*self.Yunit_conversion_factor,i))
                except:
                    self.annotation.SetLabel('') # rarely useful except outside figure

        else:
            self.annotation.SetLabel('')
   
   
    def export_data(self, event = None):
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        header = '# Data         : %s\n# First row    : %s (%s)\n# First column : %s (%s)\n' % (self.varname,self.Xlabel,self.Xunit,self.Ylabel,self.Yunit)
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        output_fname = self.get_output_filename()
        
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        x = numpy.concatenate(([0],self.Xaxis))*self.Xunit_conversion_factor
        data = numpy.vstack((x,numpy.hstack((self.Yaxis[:,numpy.newaxis]*self.Yunit_conversion_factor,self.data))))
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        if output_fname:
            with open(output_fname, 'w') as f:
                f.write(header)
                numpy.savetxt(f, data, fmt='%12.4e', delimiter="  ")
                f.close()
    
    def get_output_filename(self):
        path = ''
        dlg = wx.FileDialog(self, "Save As", '', '', "All Files|*.*", wx.SAVE)
        if dlg.ShowModal() == wx.ID_OK:
            path = dlg.GetPath()
        dlg.Destroy()
        return path
    
    def slice(self, event):
        if not event.IsChecked():
            self.canvas.mpl_disconnect(self.slice_event_id)
            self.slice_event_id = None
            self.menu_event_id = self.canvas.mpl_connect('button_press_event', self.on_click)
            self.canvas.SetCursor(wx.StockCursor(wx.CURSOR_ARROW))
            for w in self.slice_widget:
                w.remove()
            self.slice_widget = []
            
            self.cross_slice_fig = None
            self.segment_slice_fig = None
            
            self.segment_slice_color_index = 0 
            self.cross_slice_color_index = -1
            self.v_cross_slice_plot = None
            self.h_cross_slice_plot = None
            self.segment_slice_legend = []
            self.h_cross_slice_legend = []
            self.v_cross_slice_legend = []
            if self.cross_slice_dialog:
                self.cross_slice_dialog.Close()
            self.canvas.draw()
            return
        self.canvas.mpl_disconnect(self.menu_event_id)
        self.menu_event_id = None
        self.slice_event_id = self.canvas.mpl_connect('button_press_event', self.build_slice_widget) 
        self.canvas.SetCursor(wx.CROSS_CURSOR)
        self.canvas.draw() 

        
    def build_slice_widget(self, event):
        
        if not event.inaxes:
                return
                
        elif event.button == 1: # CROSS SLICING CASE
            
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            x, y = event.xdata , event.ydata
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            dx = (self.Xmax - self.Xmin)/float(self.data.shape[1])
            dy = (self.Ymax - self.Ymin)/float(self.data.shape[0])
            X = numpy.floor((x - self.Xmin)/dx)
            Y = numpy.floor((y - self.Ymin)/dy)
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            vslice, hslice = self.extract_cross_slice(X, Y)
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            if not self.parent.unique_slicer is None:
                self.cross_slice_dialog = self.parent.unique_slicer.dialog
                self.cross_slice_canvas = self.parent.unique_slicer.canvas 
                self.h_cross_slice_plot = self.parent.unique_slicer.hplot
                self.v_cross_slice_plot = self.parent.unique_slicer.vplot
                self.cross_slice_fig = self.parent.unique_slicer.fig
                self.cross_slice_color_index = self.parent.unique_slicer.color_index
                self.parent.unique_slicer.color_index += 1
                self.h_cross_slice_legend = self.parent.unique_slicer.hlegend
                self.v_cross_slice_legend = self.parent.unique_slicer.vlegend
                
            elif self.cross_slice_fig is None or not self.cross_slice_fig:
                    self.cross_slice_fig = Figure()
                    self.v_cross_slice_plot = self.cross_slice_fig.add_subplot(211)
                    self.h_cross_slice_plot = self.cross_slice_fig.add_subplot(212)
            
            if self.cross_slice_dialog is None or not self.cross_slice_dialog:
                self.cross_slice_dialog = wx.Frame(self, title="Cross slicing")  
                self.cross_slice_canvas = FigureCanvasWxAgg(self.cross_slice_dialog, wx.ID_ANY, self.cross_slice_fig)
                self.cross_slice_toolbar = NavigationToolbar2WxAgg(self.cross_slice_canvas)
                
                    
                self.unique_target_checkbox = wx.CheckBox(self.cross_slice_dialog, id=wx.ID_ANY, label="Single target plot")
                self.Bind(wx.EVT_CHECKBOX, self.made_unique_target, id = self.unique_target_checkbox.GetId())
                self.unique_target_checkbox.SetValue(self.unique)
                
                self.auto_scale_button = wx.Button(self.cross_slice_dialog, id=wx.ID_ANY, label="Auto-Scale")
                self.Bind(wx.EVT_BUTTON, self.auto_scale_cross_plot, self.auto_scale_button)
                
                sizer = wx.BoxSizer(wx.VERTICAL)
                sizer.Add(self.cross_slice_canvas, 1, flag=wx.EXPAND) 
                hsizer = wx.BoxSizer()
                hsizer.Add(self.cross_slice_toolbar, 0, flag=wx.EXPAND)
                hsizer.AddSpacer(10)
                hsizer.Add(self.auto_scale_button,0 ,flag=wx.EXPAND|wx.ALIGN_CENTER_VERTICAL|wx.ALL )
                hsizer.AddSpacer(10)
                hsizer.Add(self.unique_target_checkbox, 0, flag=wx.EXPAND|wx.ALIGN_CENTER_VERTICAL|wx.ALL )
                
                sizer.Add(hsizer, 0, flag=wx.EXPAND) 
                
                self.cross_slice_dialog.SetSizer(sizer) 
                sizer.Fit(self.cross_slice_dialog)
            
            self.cross_slice_color_index += 1 
            
            self.slice_widget.append(self.subplot.axvline(x=x, linewidth=3, color='%s'%self.get_circular_color(self.cross_slice_color_index)))
            self.slice_widget.append(self.subplot.axhline(y=y, linewidth=3, color='%s'%self.get_circular_color(self.cross_slice_color_index)))
            
            v_tmp_plot = self.v_cross_slice_plot.plot(self.Xaxis*self.Xunit_conversion_factor, vslice, color='%s'%self.get_circular_color(self.cross_slice_color_index))
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            h_tmp_plot = self.h_cross_slice_plot.plot(self.Yaxis*self.Yunit_conversion_factor, hslice, color='%s'%self.get_circular_color(self.cross_slice_color_index))
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            self.v_cross_slice_legend.append([v_tmp_plot[0],'%s = %8.3f' % (self.Ylabel,y)])
            self.h_cross_slice_legend.append([h_tmp_plot[0],'%s = %8.3f' % (self.Xlabel,x)])
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            self.v_cross_slice_plot.set_xlabel(self.Xlabel + self.fmt_Xunit)
            self.h_cross_slice_plot.set_xlabel(self.Ylabel + self.fmt_Yunit)
            
            self.v_cross_slice_plot.legend(tuple([e[0] for e in self.v_cross_slice_legend]), tuple([e[1] for e in self.v_cross_slice_legend]), loc = 'best', frameon = True, shadow = True)
            self.h_cross_slice_plot.legend(tuple([e[0] for e in self.h_cross_slice_legend]), tuple([e[1] for e in self.h_cross_slice_legend]), loc = 'best', frameon = True, shadow = True)
            
            if self.aspect == 'auto':
                self.subplot.set_aspect("auto","datalim")
                
            self.canvas.draw()
            self.cross_slice_dialog.Show()
            self.cross_slice_canvas.draw()
            

    def made_unique_target(self, event):
        self.parent.unique_slicer = CrossSlicer(self,
                                                self.cross_slice_canvas, 
                                                self.cross_slice_dialog, 
                                                self.h_cross_slice_plot, 
                                                self.v_cross_slice_plot, 
                                                self.cross_slice_fig, 
                                                self.cross_slice_color_index, 
                                                self.h_cross_slice_legend, 
                                                self.v_cross_slice_legend) 
        if self.unique:
            self.cross_slice_canvas = None
            self.cross_slice_fig = None
            self.h_cross_slice_plot = None 
            self.v_cross_slice_plot = None 
            self.cross_slice_color_index = 0
            self.h_cross_slice_legend = []
            self.v_cross_slice_legend = []
            for w in self.slice_widget:
                w.remove()
            self.slice_widget = []
            self.canvas.draw() 
            self.parent.unique_slicer = None
            self.cross_slice_dialog.Close()

        self.unique = not self.unique
        

    def auto_scale_cross_plot(self, event):
        
        norm = Normalize()
        
        for hl in self.h_cross_slice_plot.get_lines(): 
            d = hl.get_ydata()
            norm.autoscale(d)
            hl.set_ydata(norm(d))
          
        for vl in self.v_cross_slice_plot.get_lines(): 
            d = vl.get_ydata()
            norm.autoscale(d)
            vl.set_ydata(norm(d))
        
        
        self.v_cross_slice_plot.relim()
        self.h_cross_slice_plot.relim()
        self.v_cross_slice_plot.autoscale_view(True,True,True)
        self.h_cross_slice_plot.autoscale_view(True,True,True)

        self.cross_slice_canvas.draw()
            
    def get_circular_color(self, idx):
        circ_idx = idx%len(self.color_list)
        return self.color_list.values()[circ_idx]
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    def extract_cross_slice(self, x, y):
        x = int(x)
        y = int(y)
        hslice = self.data.T[x,:]
        vslice = self.data.T[:,y]
        return vslice, hslice
        
    def set_lim(self):
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        self.Xmin, self.Xmax = self.Xaxis[0], self.Xaxis[-1]
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        if self.Xmin == self.Xmax:
            self.Xmin -= 1.0e-9
            self.Xmax += 1.0e-9
        
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        self.Ymin, self.Ymax = self.Yaxis[0], self.Yaxis[-1]
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        if self.Ymin == self.Ymax:
            self.Ymin -= 1.0e-9
            self.Ymax += 1.0e-9
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    def reset_axis(self):
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        self.figure.gca().axis([self.Xmin, self.Xmax, self.Ymin, self.Ymax])
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        self.canvas.draw()
    
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    def plot(self, data, varname, Xaxis = None, Xunit = None, Yaxis = None, Yunit = None, transposition = True):
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        if data is None:
            return
        
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        if ((Xaxis is None) or (Xunit is None) or (Yaxis is None) or (Yunit is None)):
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            self.set_axis_property(varname,data)
        else:
            self.Xaxis = Xaxis
            self.Xunit = Xunit
            self.Yaxis = Yaxis
            self.Yunit = Yunit
        
        if transposition:
            self.data = data.T
        else:
            self.data = data
            
        self.varname = varname
        
        self.subplot = self.figure.add_subplot( 111 )   
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        self.ax = self.subplot.imshow(self.data, interpolation=self.interpolation, origin='lower')

        self.subplot.set_aspect('auto')
        self.aspect = 'auto'

        self.Xlabel = self.Xaxis_label
        self.Ylabel = self.Yaxis_label
        self.figure.gca().set_xlabel(self.Xlabel + self.fmt_Xunit )
        self.figure.gca().set_ylabel(self.Ylabel + self.fmt_Yunit )
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        self.set_lim()
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        self.set_ticks()
        self.reset_axis()
        
        self.color_bar = self.figure.colorbar(self.ax)
        
        self.canvas.draw()
    
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    def replot(self, oldinstance):
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        self.data = oldinstance.data
        self.Xaxis = oldinstance.Xaxis
        self.Xunit = oldinstance.Xunit
        self.Yaxis = oldinstance.Yaxis
        self.Yunit = oldinstance.Yunit
        self.varname = oldinstance.varname
        self.Xaxis_label = oldinstance.Xaxis_label
        self.Yaxis_label = oldinstance.Yaxis_label
        self.normType = oldinstance.normType
        self.aspect = oldinstance.aspect
        self.subplot = self.figure.add_subplot( 111 )   
        
        self.ax = self.subplot.imshow(self.data, interpolation=self.interpolation, origin='lower')

        self.subplot.set_aspect(self.aspect)

        self.Xlabel = self.Xaxis_label
        self.Ylabel = self.Yaxis_label
        self.figure.gca().set_xlabel(self.Xlabel + self.fmt_Xunit )
        self.figure.gca().set_ylabel(self.Ylabel + self.fmt_Yunit )
        
        self.set_ticks()
        self.reset_axis()
        
        self.color_bar = self.figure.colorbar(self.ax)
        
        self.scale(onReplot = True)
        
        self.canvas.draw()
        
    def scale(self, onReplot = False):
        
        if not NORMALIZER.has_key(self.normType):
            self.color_bar.set_clim(self.data.min(), self.data.max())
            self.ax.set_norm(None)
            return
        
        norm = NORMALIZER[self.normType]
        norm.autoscale(self.data)
        
        try :
            self.ax.set_norm(norm)
        except ValueError:
            raise Plotter2DError('Could not set normalization : difference between minimum and maximum values is to small')

        if onReplot: 
            normd = norm(self.data)
            self.color_bar.set_clim(normd.min(), normd.max())
            
             
    def compute_conversion_factor(self):
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        try:
            self.Xunit_conversion_factor = magnitude.mg(1., self.Xinit_unit, self.Xunit).toval()
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        except magnitude.MagnitudeError:            
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            self.Xunit_conversion_factor = 1.0

        try:
            self.Yunit_conversion_factor = magnitude.mg(1., self.Yinit_unit, self.Yunit).toval()
        except magnitude.MagnitudeError:
            self.Yunit_conversion_factor = 1.0

    
    def set_ticks(self):

        self.compute_conversion_factor()
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        self.figure.gca().xaxis.set_major_locator(ScaledLocator(dx = self.Xunit_conversion_factor))
        self.figure.gca().xaxis.set_major_formatter(ScaledFormatter(dx = self.Xunit_conversion_factor))      
        
        self.figure.gca().yaxis.set_major_locator(ScaledLocator(dx = self.Yunit_conversion_factor))
        self.figure.gca().yaxis.set_major_formatter(ScaledFormatter(dx = self.Yunit_conversion_factor)) 
        
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        self.ax.set_extent([self.Xmin, self.Xmax, self.Ymin, self.Ymax])
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    def set_axis_property(self, varname, data):
        oldXunit = self.Xinit_unit
        oldYunit = self.Yinit_unit

        try :
            self.Xaxis_label = self.dataproxy[varname]['axis'][0]
            self.Xunit = self.Xinit_unit = self.dataproxy[self.Xaxis_label]['units']
            self.Xaxis = self.dataproxy[self.Xaxis_label]['data']
        except:
            self.Xunit = self.Xinit_unit = 'au'
            self.Xaxis = numpy.arange(data.shape[0]) 
            
        try :
            self.Yaxis_label = self.dataproxy[varname]['axis'][1]
            self.Yunit = self.Yinit_unit = self.dataproxy[self.Yaxis_label]['units']
            self.Yaxis = self.dataproxy[self.Yaxis_label]['data']
        except:
            self.Yunit = self.Yinit_unit = 'au'
            self.Yaxis = numpy.arange(data.shape[1]) 
            
        if not oldXunit is None:
            if oldXunit != self.Xinit_unit:
                raise Plotter2DError('the x axis unit (%s) of data-set %r is inconsistent with the unit (%s) of the precedent data plotted '%(self.Xinit_unit, varname,  oldXunit))
        if not oldYunit is None:
            if oldYunit != self.Yinit_unit:
                raise Plotter2DError('the y axis unit (%s) of data-set %r is inconsistent with the unit (%s) of the precedent data plotted '%(self.Yinit_unit, varname,  oldYunit))

        if self.Yaxis.shape[0] != data.shape[1]:
            raise Plotter2DError('the y axis dimension is inconsistent with the shape of data ')
        if self.Xaxis.shape[0] != data.shape[0]:
            raise Plotter2DError('the x axis dimension is inconsistent with the shape of data ')
            
    def image_setting_dialog(self, event = None):
        
        d = ImageSettingsDialog(self)
        d.SetFocus()
        d.ShowModal()
588
        d.Destroy()