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rxplot.py

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#!/usr/bin/env python
#
# Based on public domain code from Eli Bendersky (eliben@gmail.com)
# http://eli.thegreenplace.net/2008/08/01/matplotlib-with-wxpython-guis/
# 
# Additions are covered by the license below:
#
# Software License Agreement (BSD License)
#
# Copyright (c) 2009, Willow Garage, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
#  * Redistributions of source code must retain the above copyright
#    notice, this list of conditions and the following disclaimer.
#  * Redistributions in binary form must reproduce the above
#    copyright notice, this list of conditions and the following
#    disclaimer in the documentation and/or other materials provided
#    with the distribution.
#  * Neither the name of Willow Garage, Inc. nor the names of its
#    contributors may be used to endorse or promote products derived
#    from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
# FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
# COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
# ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
#
# Revision $Id$

PKG = 'rxtools'
import collections
import os
import string
import sys
import wx

import roslib.names
import roslib.packages

import rospy

import rxtools.vizutil
rxtools.vizutil.check_matplotlib_deps()

## MPL imports

import matplotlib
matplotlib.use('WXAgg')
from matplotlib.figure import Figure
from matplotlib.backends.backend_wxagg import \
    FigureCanvasWxAgg as FigCanvas, \
    NavigationToolbar2WxAgg as NavigationToolbar

import numpy as np
import pylab

from rxtools.rosplot import ROSData, is_ros_pause, is_ros_stop, toggle_ros_pause, set_ros_stop
import mpl_toolkits.mplot3d.art3d as art3d

## Plotting colors. We artificially constrain the number of allowed plots by the number of
## COLORS we specify. rxplot has not been stress-tested yet
COLORS = (1, 0, 0), (0, 0, 1), (0, 1, 0), (1, 0, 1), (0, 1, 1), (0.5, 0.24, 0), (0, 0.5, 0.24), (1, 0.5, 0), 

# TODO: rewrite so that pause button toggles activation of other buttons
## Toolbar controls for rxplot
class RxPlotToolbar(NavigationToolbar):
    ON_PAUSE = wx.NewId()
    ON_STOP = wx.NewId()
    def __init__(self, canvas):
        NavigationToolbar.__init__(self, canvas)
        
        self.play_bm = wx.Bitmap(roslib.packages.get_pkg_dir(PKG) + '/icons/play-16.png')
        self.pause_bm = wx.Bitmap(roslib.packages.get_pkg_dir(PKG) + '/icons/pause-16.png')
        self.AddSimpleTool(self.ON_PAUSE, self.pause_bm, 'Pause', 'Activate pause')
        wx.EVT_TOOL(self, self.ON_PAUSE, self._on_pause)

        self.AddSimpleTool(self.ON_STOP, wx.Bitmap(roslib.packages.get_pkg_dir(PKG) + '/icons/stop-16.png'), 'Stop', 'Activate stop')

        wx.EVT_TOOL(self, self.ON_STOP, self._on_stop)
        self._set_tb_enable()

    ## Most toolbar buttons remain disabled until rxplot enters paused or stopped state.
    def _set_tb_enable(self):
        # parent toolbar doesn't expose home, save, or subplot
        # buttons. However, these don't behave as badly under pause so
        # it's not as important to disable those.
        tb_enabled = is_ros_pause() or is_ros_stop()
        for b in [self._NTB2_BACK, self._NTB2_FORWARD, self._NTB2_PAN, self._NTB2_ZOOM]:
            self.EnableTool(b, tb_enabled)

    def _on_pause(self, evt):
        toggle_ros_pause()
        self._set_tb_enable()
        if is_ros_pause():
            self.SetToolNormalBitmap(self.ON_PAUSE, self.play_bm)
        else:
            self.SetToolNormalBitmap(self.ON_PAUSE, self.pause_bm)
        # cancel state of pan/zoom
        self.ToggleTool(self._NTB2_PAN, False)
        self.ToggleTool(self._NTB2_ZOOM, False)
        self._active = 'ZOOM'
        self.zoom(tuple())

    def _on_stop(self, evt):
        set_ros_stop()
        self._set_tb_enable()
        # kill pause/stop buttons as well
        self.EnableTool(self.ON_PAUSE, False)
        self.EnableTool(self.ON_STOP, False)        
            
## WX Frame containing plots
class RxPlotFrame(wx.Frame):
    def __init__(self, topics, options):
        self.title = options.title
        self.legend = options.legend
        self.mode = options.mode
        if self.mode == '2d':
            self.draw_plot = self.draw_plot_2d
            self.init_plot = self.init_plot_2d
        elif self.mode in ['3d', 'scatter']:
            self.draw_plot = self.draw_plot_3d
            self.init_plot = self.init_plot_3d
        else:
            raise ValueError("Mode must be one of [2d, 3d, scatter], not [%s]"%(options.mode))
        
        wx.Frame.__init__(self, None, -1, self.title)

        # There are two different indicies for our list data types based on the fact that topics is
        # a list[list(str)]. 
        #
        # axes_index: first index into topics
        #
        # plot_index: index based on flattened topic list, i.e. absolute topic number
        #
        # e.g. for self.topics = [ ['/p0/f0'], ['/p1/f1', '/p2/f2']]:
        #  * axes_index 0 indexes ['/p0/f0'], 
        #  * axes_index 1 indexes ['/p1/f1', '/p2/f2'],
        #  * plot_index 0 indexes '/p0/f0'
        #  * plot_index 1 indexes '/p1/f1'
        #  * plot_index 2 indexes '/p2/f2'
        
        # self.axes and self.topics uses axes_index
        self.axes = []
        self.topics = topics
        self.period = options.period
        self.marker = options.marker
        
        # initialize data storage and sources
        # datagen, datax, and datay use plot_index.
        self.datagen = []
        self.datax = []
        self.datay = []
        self.buffer_size = options.buffer     
        self.redraw_period = int(1. / options.refresh_rate * 1000) # convert to ms
        
        self.start_time = rospy.get_time()
        for topic_list in topics:
            for t in topic_list:
                dg = ROSData(t, self.start_time)
                self.datagen.append(dg)
                datax, datay = dg.next()
                self.datax.append(collections.deque(datax))
                self.datay.append(collections.deque(datay))
        
        self.create_menu()
        self.statusbar = self.CreateStatusBar()
        self.create_main_canvas()
        
        self.redraw_timer = wx.Timer(self)
        self.Bind(wx.EVT_TIMER, self.on_redraw_timer, self.redraw_timer)
        
        #self.redraw_timer.Start(100)
        self.redraw_timer.Start(self.redraw_period)
        if options.start_paused:
            self.toolbar._on_pause(None)

    def create_menu(self):
        self.menubar = wx.MenuBar()
        
        menu_file = wx.Menu()
        m_expt = menu_file.Append(-1, "&Save plot\tCtrl-S", "Save plot to file")
        self.Bind(wx.EVT_MENU, self.on_save_plot, m_expt)
        menu_file.AppendSeparator()
        m_exit = menu_file.Append(-1, "E&xit\tCtrl-X", "Exit")
        self.Bind(wx.EVT_MENU, self.on_exit, m_exit)
                
        self.menubar.Append(menu_file, "&File")
        self.SetMenuBar(self.menubar)

    def onpick(self, event):
        thisline = event.artist
        xdata, ydata = thisline.get_data()
        ind = event.ind
        self.statusbar.SetStatusText("%s, %s" % (xdata[ind][len(xdata[ind])/2], ydata[ind][len(ydata[ind])/2]))

    def create_main_canvas(self):
        # Create main figure
        self.dpi = 100
        params = matplotlib.figure.SubplotParams(left=0.125, bottom=0.12, right=0.99, top=0.99, wspace=0.001, hspace=0.1)
        self.fig = Figure((3.0, 3.0), dpi=self.dpi, subplotpars=params)

        self.canvas = FigCanvas(self, -1, self.fig)
        self.canvas.mpl_connect('pick_event', self.onpick)

        self.init_plot()
        
        self.sizer = wx.BoxSizer(wx.VERTICAL)
        self.sizer.Add(self.canvas, 1, flag=wx.LEFT | wx.TOP | wx.GROW)
        self.SetSizer(self.sizer)

        self.add_toolbar()        

        self.SetSize(wx.Size(500, 700))
        self.Layout()
    
    def init_plot_2d(self):
        self.plot_data = []
        flat_topics = []

        axes_index = 0
        plot_index = 0

        for topic_list in self.topics:
            axes = self.fig.add_subplot(string.atoi('%d1%d'%(len(self.topics), axes_index+1))) 
            axes.set_axis_bgcolor('white')            
            #axes.set_title(', '.join(topic_list), size=8)
            pylab.setp(axes.get_xticklabels(), fontsize=6)
            pylab.setp(axes.get_yticklabels(), fontsize=8)
            # equiv to self.axes[axes_index] = axes
            self.axes.append(axes)
            axes_index += 1

            for topic in topic_list:
                flat_topics.append(topic)
                plot_data = \
                          axes.plot(self.datax[plot_index],
                                    self.datay[plot_index],
                                    marker=self.marker,
                                    linewidth=1,
                                    picker=5,
                                    color=COLORS[plot_index],
                                    )[0]
                # equiv to self.plot_data[plot_index] = plot_data
                self.plot_data.append(plot_data)
                plot_index += 1

        # Set grid visibility properties
        for ax in self.axes:
            ax.grid(True, color='gray')
            pylab.setp(ax.get_xticklabels(), visible=True)
            
        # Make a legend
        fp = matplotlib.font_manager.FontProperties(size=8)
        legends = self.legend.split(",") if self.legend else []
        if legends:
            if len(legends) != len(flat_topics):
                raise "Number of legend strings does not match the number of topics"
            self.fig.legend(self.plot_data, legends, 'lower right', prop=fp)
        elif len(flat_topics) > 1:
            self.fig.legend(self.plot_data, flat_topics, 'lower right', prop=fp)

    def init_plot_3d(self):
        # init plot_data (only used for 3d mode right now until scatter is ported)
        self.plot_data = []
        # choose a color (for scatter mode only)
        import random
        self.color = COLORS[random.randint(0, len(COLORS))]
        
        # initialize 3d axes from mplot3d
        import mpl_toolkits.mplot3d.axes3d
        self.ax = mpl_toolkits.mplot3d.axes3d.Axes3D(self.fig)

        flat_topics = []
        for topic_list in self.topics:
            for topic in topic_list:
                flat_topics.append(topic)
                
        ntopics = len(flat_topics)
        if ntopics <= 3:
            self.ax.set_xlabel(flat_topics[0])
            self.ax.set_ylabel(flat_topics[1])
        if ntopics == 2:
            self.ax.set_zlabel("time")
        elif ntopics == 3:
            self.ax.set_zlabel(flat_topics[2])
        else:
            raise Exception("Expected 2 or 3 topics, but got %d" % (ntopics))

        # attach mouse handler (must be called after FigCanvas)
        self.ax.mouse_init()

    def draw_plot_2d(self, relimit=False):
        if not self.plot_data:
            return
        
        # Set axis bounds
        if relimit and self.datax[0]:
            axes_index = 0
            plot_index = 0
            # axes are indexed by topic_list, plots are indexed by topic number
            for topic_list in self.topics:
                axes = self.axes[axes_index] 
                axes_index += 1
                ymin = ymax = None
                for t in topic_list:
                    datax = self.datax[plot_index]
                    datay = self.datay[plot_index]
                    plot_index += 1

                    xmax = datax[-1]
                    xmin = xmax - self.period
                    if ymin is None:
                        ymin = min(datay)
                        ymax = max(datay)
                    else:
                        ymin = min(min(datay), ymin)
                        ymax = max(max(datay), ymax)

                    # pad the min/max
                    delta = ymax - ymin
                    ymin -= .05*delta
                    ymax += .05*delta
                    
                    axes.set_xbound(lower=xmin, upper=xmax)
                    axes.set_ybound(lower=ymin, upper=ymax)

        # Set plot data on current axes
        for plot_index in xrange(0, len(self.plot_data)):
            datax = self.datax[plot_index]
            datay = self.datay[plot_index]

            plot_data = self.plot_data[plot_index]
            plot_data.set_data(np.array(datax), np.array(datay))

        self.canvas.draw()

    def draw_plot_3d(self, relimit=False):
        # Don't have to relimit 3d plots
        if self.datax[0] and self.datay[0] and self.datay[1]:

            ndata = len(self.datay)
            if ndata >=2:
                datax = np.array(self.datay[0])
                datay = np.array(self.datay[1])
        
            # Plot time from topic 1 on z if no third topic is provided
            if ndata == 2:
                dataz = np.array(self.datax[0])
            elif ndata == 3 and self.datay[2]:
                dataz = np.array(self.datay[2])
            else:
                print "unexpected input data dimensions for 3d plotting (%d)" % ndata

            if self.mode == '3d':
                if not self.plot_data:
                    self.plot_data = self.ax.plot(datax, datay, dataz)

                self.plot_data[0].set_data(datax, datay)
                art3d.line_2d_to_3d(self.plot_data[0], zs=dataz, zdir='z')
                self.ax.auto_scale_xyz(datax, datay, dataz, True)
            else:
                # 'blue' is arbitrary, just have to keep mpl from choosing different each time.
                #
                # kwc: I haven't figured out how to performance tune
                # scatter plots the same way I tuned the 3d plot. The
                # MPL APIs are a bit haphazard when it comes to 3d
                # plotting.
                self.plot_data = self.ax.scatter(datax, datay, dataz, color=self.color)

            self.canvas.draw()
    
    def on_save_plot(self, event):
        file_choices = "PNG (*.png)|*.png"
        
        dlg = wx.FileDialog(
            self, 
            message="Save plot as...",
            defaultDir=os.getcwd(),
            defaultFile="plot.png",
            wildcard=file_choices,
            style=wx.SAVE)
        
        if dlg.ShowModal() == wx.ID_OK:
            path = dlg.GetPath()
            self.canvas.print_figure(path, dpi=self.dpi)
            self.flash_status_message("Saved to %s" % path)

    def on_redraw_timer(self, event):
        # if paused do not add data, but still redraw the plot
        # (to respond to scale modifications, grid change, etc.)
        #
        if is_ros_stop():
          for dg in self.datagen:
            dg.close()
          self.datagen = []

        if not is_ros_pause():
            for plot_index in xrange(0, len(self.datagen)):
                try:
                    datax, datay = self.datagen[plot_index].next()
                except Exception, e:
                    print >> sys.stderr, str(e)
                    wx.GetApp().Exit()
                    return

                plot_datax, plot_datay = self.datax[plot_index], self.datay[plot_index]
                plot_datax.extend(datax)
                plot_datay.extend(datay)

                if len(plot_datax) > 0 and self.buffer_size > 0:
                    xcutoff = plot_datax[-1] - self.buffer_size
                    while len(plot_datax) > 0 and plot_datax[0] < xcutoff:
                        plot_datax.popleft()
                        plot_datay.popleft()

            self.draw_plot(relimit=True)
    
    def on_exit(self, event):
        self.Destroy()
    
    def flash_status_message(self, msg, flash_len_ms=1500):
        self.statusbar.SetStatusText(msg)
        self.timeroff = wx.Timer(self)
        self.Bind(
            wx.EVT_TIMER, 
            self.on_flash_status_off, 
            self.timeroff)
        self.timeroff.Start(flash_len_ms, oneShot=True)
    
    def on_flash_status_off(self, event):
        self.statusbar.SetStatusText('')

    def add_toolbar(self):
        self.toolbar = RxPlotToolbar(self.canvas)
        self.toolbar.Realize()
        self.SetToolBar(self.toolbar)
        if 0:
            if wx.Platform == '__WXMAC__':
                # Mac platform (OSX 10.3, MacPython) does not seem to cope with
                # having a toolbar in a sizer. This work-around gets the buttons
                # back, but at the expense of having the toolbar at the top
                self.SetToolBar(self.toolbar)
            else:
                # On Windows platform, default window size is incorrect, so set
                # toolbar width to figure width.
                tw, th = self.toolbar.GetSizeTuple()
                fw, fh = self.canvas.GetSizeTuple()
                # By adding toolbar in sizer, we are able to put it at the bottom
                # of the frame - so appearance is closer to GTK version.
                # As noted above, doesn't work for Mac.
                self.toolbar.SetSize(wx.Size(fw, th))
                self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
        # update the axes menu on the toolbar
        self.toolbar.update()

    

def rxplot_app(topic_list, options):
    rospy.init_node('rxplot', anonymous=True)

    try:
        app = wx.PySimpleApp()    
        app.frame = rxtools.rxplot.RxPlotFrame(topic_list, options)
        app.frame.Show()
        app.MainLoop()
    except Exception, e:
        rospy.logerr(e)
        print >> sys.stderr, str(e)
        wx.GetApp().Exit()
    
    rospy.signal_shutdown('GUI shutdown')    

---

rxtools
Author(s): Josh Faust, Rob Wheeler, Ken Conley
autogenerated on Sat Mar 2 13:30:55 2013