-#!/usr/bin/env python\r
-\r
-'''\r
-plot.py\r
-\r
-Plot panel for Hooke.\r
-\r
-Copyright 2009 by Dr. Rolf Schmidt (Concordia University, Canada)\r
-\r
-This program is released under the GNU General Public License version 2.\r
-'''\r
-\r
-from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas\r
-\r
-from matplotlib.backends.backend_wx import NavigationToolbar2Wx\r
-\r
-from matplotlib.figure import Figure\r
-\r
-import wx\r
-\r
-#there are many comments in here from the demo app\r
-#they should come in handy to expand the functionality in the future\r
-\r
-class HookeCustomToolbar(NavigationToolbar2Wx):\r
-\r
- def __init__(self, plotCanvas):\r
- NavigationToolbar2Wx.__init__(self, plotCanvas)\r
- # add new toolbar buttons\r
- #glyph_file = 'resources' + os.sep + 'pipette.png'\r
- #glyph = wx.Image(glyph_file, wx.BITMAP_TYPE_ANY).ConvertToBitmap()\r
-\r
- #self.AddCheckTool(ON_CUSTOM_PICK, glyph, shortHelp='Select a data point', longHelp='Select a data point')\r
- #wx.EVT_TOOL(self, ON_CUSTOM_PICK, self.OnSelectPoint)\r
-\r
- # remove the unwanted button\r
-# POSITION_OF_CONFIGURE_SUBPLOTS_BTN = 6\r
-# self.DeleteToolByPos(POSITION_OF_CONFIGURE_SUBPLOTS_BTN)\r
-\r
- #def OnSelectPoint(self, event):\r
- #self.Parent.Parent.Parent.pick_active = True\r
-\r
-\r
-#class LineBuilder:\r
- #def __init__(self, line):\r
- #self.line = line\r
- #self.xs = list(line.get_xdata())\r
- #self.ys = list(line.get_ydata())\r
- #self.cid = line.figure.canvas.mpl_connect('button_press_event', self)\r
-\r
- #def __call__(self, event):\r
- #print 'click', event\r
- #if event.inaxes != self.line.axes:\r
- #return\r
- #self.xs.append(event.xdata)\r
- #self.ys.append(event.ydata)\r
- #self.line.set_data(self.xs, self.ys)\r
- #self.line.figure.canvas.draw()\r
-\r
-\r
-class PlotPanel(wx.Panel):\r
-\r
- def __init__(self, parent, ID):\r
- wx.Panel.__init__(self, parent, ID, style=wx.WANTS_CHARS|wx.NO_BORDER, size=(160, 200))\r
-\r
- self.figure = Figure()\r
- self.canvas = FigureCanvas(self, -1, self.figure)\r
- self.SetColor(wx.NamedColor('WHITE'))\r
-\r
- self.sizer = wx.BoxSizer(wx.VERTICAL)\r
- self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)\r
- self.SetSizer(self.sizer)\r
- self.Fit()\r
-\r
- self.display_coordinates = False\r
-\r
- self.figure.canvas.mpl_connect('button_press_event', self.OnClick)\r
- self.figure.canvas.mpl_connect('axes_enter_event', self.OnEnterAxes)\r
- self.figure.canvas.mpl_connect('axes_leave_event', self.OnLeaveAxes)\r
- self.figure.canvas.mpl_connect('motion_notify_event', self.OnMouseMove)\r
- self.add_toolbar() # comment this out for no toolbar\r
-\r
- def add_toolbar(self):\r
- self.toolbar = HookeCustomToolbar(self.canvas)\r
- self.toolbar.Realize()\r
- if wx.Platform == '__WXMAC__':\r
- # Mac platform (OSX 10.3, MacPython) does not seem to cope with\r
- # having a toolbar in a sizer. This work-around gets the buttons\r
- # back, but at the expense of having the toolbar at the top\r
- self.SetToolBar(self.toolbar)\r
- else:\r
- # On Windows platform, default window size is incorrect, so set\r
- # toolbar width to figure width.\r
- tw, th = self.toolbar.GetSizeTuple()\r
- fw, fh = self.canvas.GetSizeTuple()\r
- # By adding toolbar in sizer, we are able to put it at the bottom\r
- # of the frame - so appearance is closer to GTK version.\r
- # As noted above, doesn't work for Mac.\r
- self.toolbar.SetSize(wx.Size(fw, th))\r
- self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)\r
- # update the axes menu on the toolbar\r
- self.toolbar.update()\r
-\r
- def get_figure(self):\r
- return self.figure\r
-\r
- def SetColor(self, rgbtuple):\r
- '''\r
- Set figure and canvas colours to be the same\r
- '''\r
- if not rgbtuple:\r
- rgbtuple = wx.SystemSettings.GetColour(wx.SYS_COLOUR_BTNFACE).Get()\r
- col = [c / 255.0 for c in rgbtuple]\r
- self.figure.set_facecolor(col)\r
- self.figure.set_edgecolor(col)\r
- self.canvas.SetBackgroundColour(wx.Colour(*rgbtuple))\r
-\r
- def SetStatusText(self, text, field=1):\r
- self.Parent.Parent.statusbar.SetStatusText(text, field)\r
-\r
- def OnClick(self, event):\r
- #self.SetStatusText(str(event.xdata))\r
- #print 'button=%d, x=%d, y=%d, xdata=%f, ydata=%f'%(event.button, event.x, event.y, event.xdata, event.ydata)\r
- pass\r
-\r
- def OnEnterAxes(self, event):\r
- self.display_coordinates = True\r
-\r
- def OnLeaveAxes(self, event):\r
- self.display_coordinates = False\r
- self.SetStatusText('')\r
-\r
- def OnMouseMove(self, event):\r
- if event.guiEvent.m_shiftDown:\r
- self.toolbar.set_cursor(2)\r
- #print 'hand: ' + str(wx.CURSOR_HAND)\r
- #print 'cross: ' + str(wx.CURSOR_CROSS)\r
- #print 'ibeam: ' + str(wx.CURSOR_IBEAM)\r
- #print 'wait: ' + str(wx.CURSOR_WAIT)\r
- #print 'hourglass: ' + str(wx.HOURGLASS_CURSOR)\r
- else:\r
- self.toolbar.set_cursor(1)\r
-\r
- #axes = self.figure.axes[0]\r
- #line, = axes.plot([event.x - 20 , event.x + 20], [event.y - 20, event.y + 20])\r
-\r
- #line.figure.canvas.draw()\r
- if self.display_coordinates:\r
- coordinateString = ''.join(['x: ', str(event.xdata), ' y: ', str(event.ydata)])\r
- #TODO: pretty format\r
- self.SetStatusText(coordinateString)\r
-\r
- def OnPaint(self, event):\r
- self.canvas.draw()\r
+# Copyright (C) 2010-2012 W. Trevor King <wking@drexel.edu>
+#
+# This file is part of Hooke.
+#
+# Hooke 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 3 of the
+# License, or (at your option) any later version.
+#
+# Hooke 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 Hooke. If not, see
+# <http://www.gnu.org/licenses/>.
+
+"""Plot panel for Hooke.
+
+Notes
+-----
+Originally based on `this example`_.
+
+.. _this example:
+ http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_wx2.html
+"""
+
+import logging
+
+import matplotlib
+matplotlib.use('WXAgg') # use wxpython with antigrain (agg) rendering
+from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
+from matplotlib.backends.backend_wx import NavigationToolbar2Wx as NavToolbar
+from matplotlib.figure import Figure
+from matplotlib.ticker import Formatter, ScalarFormatter
+import numpy
+import wx
+
+from ....util.callback import callback, in_callback
+from ....util.si import ppSI, split_data_label
+from ..dialog.selection import Selection
+from . import Panel
+
+
+class HookeFormatter (Formatter):
+ """:class:`matplotlib.ticker.Formatter` using SI prefixes.
+ """
+ def __init__(self, unit='', decimals=2):
+ self.decimals = decimals
+ self.unit = unit
+
+ def __call__(self, x, pos=None):
+ """Return the format for tick val `x` at position `pos`.
+ """
+ if x == 0:
+ return '0'
+ return ppSI(value=x, unit=self.unit, decimals=self.decimals)
+
+
+class HookeScalarFormatter (ScalarFormatter):
+ """:class:`matplotlib.ticker.ScalarFormatter` using only multiples
+ of three in the mantissa.
+
+ A fixed number of decimals can be displayed with the optional
+ parameter `decimals` . If `decimals` is `None` (default), the number
+ of decimals is defined from the current ticks.
+ """
+ def __init__(self, decimals=None, **kwargs):
+ # Can't use super() because ScalarFormatter is an old-style class :(.
+ ScalarFormatter.__init__(self, **kwargs)
+ self._decimals = decimals
+
+ def _set_orderOfMagnitude(self, *args, **kwargs):
+ """Sets the order of magnitude."""
+ # Can't use super() because ScalarFormatter is an old-style class :(.
+ ScalarFormatter._set_orderOfMagnitude(self, *args, **kwargs)
+ self.orderOfMagnitude -= self.orderOfMagnitude % 3
+
+ def _set_format(self, *args, **kwargs):
+ """Sets the format string to format all ticklabels."""
+ # Can't use super() because ScalarFormatter is an old-style class :(.
+ ScalarFormatter._set_format(self, *args, **kwargs)
+ if self._decimals is None or self._decimals < 0:
+ locs = (np.asarray(self.locs)-self.offset) / 10**self.orderOfMagnitude+1e-15
+ sigfigs = [len(str('%1.8f'% loc).split('.')[1].rstrip('0')) \
+ for loc in locs]
+ sigfigs.sort()
+ decimals = sigfigs[-1]
+ else:
+ decimals = self._decimals
+ self.format = '%1.' + str(decimals) + 'f'
+ if self._usetex:
+ self.format = '$%s$' % self.format
+ elif self._useMathText:
+ self.format = '$\mathdefault{%s}$' % self.format
+
+
+class PlotPanel (Panel, wx.Panel):
+ """UI for graphical curve display.
+ """
+ def __init__(self, callbacks=None, **kwargs):
+ self.display_coordinates = False
+ self.style = 'line'
+ self._curve = None
+ self._config = {}
+ self._x_column = None
+ self._y_columns = [] # TODO: select right/left scales?
+ self._x_unit = ''
+ self._y_unit = ''
+ super(PlotPanel, self).__init__(
+ name='plot', callbacks=callbacks, **kwargs)
+ self._c = {}
+ self._c['figure'] = Figure()
+ self._c['canvas'] = FigureCanvas(
+ parent=self, id=wx.ID_ANY, figure=self._c['figure'])
+
+ self._set_color(wx.NamedColour('WHITE'))
+ sizer = wx.BoxSizer(wx.VERTICAL)
+ sizer.Add(self._c['canvas'], 1, wx.LEFT | wx.TOP | wx.GROW)
+ self._setup_toolbar(sizer=sizer) # comment out to remove plot toolbar.
+ self.SetSizer(sizer)
+ self.Fit()
+
+ self.Bind(wx.EVT_SIZE, self._on_size)
+ self._c['figure'].canvas.mpl_connect(
+ 'button_press_event', self._on_click)
+ self._c['figure'].canvas.mpl_connect(
+ 'axes_enter_event', self._on_enter_axes)
+ self._c['figure'].canvas.mpl_connect(
+ 'axes_leave_event', self._on_leave_axes)
+ self._c['figure'].canvas.mpl_connect(
+ 'motion_notify_event', self._on_mouse_move)
+
+ def _setup_toolbar(self, sizer):
+ self._c['toolbar'] = NavToolbar(self._c['canvas'])
+ self._c['x column'] = wx.Choice(
+ parent=self._c['toolbar'], choices=[])
+ self._c['x column'].SetToolTip(wx.ToolTip('x column'))
+ self._c['toolbar'].AddControl(self._c['x column'])
+ self._c['x column'].Bind(wx.EVT_CHOICE, self._on_x_column)
+ self._c['y column'] = wx.Button(
+ parent=self._c['toolbar'], label='y column(s)')
+ self._c['y column'].SetToolTip(wx.ToolTip('y column'))
+ self._c['toolbar'].AddControl(self._c['y column'])
+ self._c['y column'].Bind(wx.EVT_BUTTON, self._on_y_column)
+
+ self._c['toolbar'].Realize() # call after putting items in the toolbar
+ 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._c['toolbar'])
+ elif wx.Platform == '__WXMSW__':
+ # On Windows platform, default window size is incorrect, so set
+ # toolbar width to figure width.
+ tw, th = self._c['toolbar'].GetSizeTuple()
+ fw, fh = self._c['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._c['toolbar'].SetSize(wx.Size(fw, th))
+ sizer.Add(self._c['toolbar'], 0 , wx.LEFT | wx.EXPAND)
+ else:
+ sizer.Add(self._c['toolbar'], 0 , wx.LEFT | wx.EXPAND)
+ self._c['toolbar'].update() # update the axes menu on the toolbar
+
+ def _set_color(self, rgbtuple=None):
+ """Set both figure and canvas colors to `rgbtuple`.
+ """
+ if rgbtuple == None:
+ rgbtuple = wx.SystemSettings.GetColour(wx.SYS_COLOUR_BTNFACE).Get()
+ col = [c/255.0 for c in rgbtuple]
+ self._c['figure'].set_facecolor(col)
+ self._c['figure'].set_edgecolor(col)
+ self._c['canvas'].SetBackgroundColour(wx.Colour(*rgbtuple))
+
+ def _set_status_text(self, text):
+ in_callback(self, text)
+
+ def _on_size(self, event):
+ event.Skip()
+ wx.CallAfter(self._resize_canvas)
+
+ def _on_click(self, event):
+ if self._curve == None:
+ return
+ d = self._config.get('plot decimals', 2)
+ x,y = (event.xdata, event.ydata)
+ if None in [x, y]:
+ return
+ xt = ppSI(value=x, unit=self._x_unit, decimals=d)
+ yt = ppSI(value=y, unit=self._y_unit, decimals=d)
+ point_indexes = []
+ for data in self._curve.data:
+ try:
+ x_col = data.info['columns'].index(self._x_column)
+ except ValueError:
+ continue # data is missing a required column
+ index = numpy.absolute(data[:,x_col]-x).argmin()
+ point_indexes.append((data.info['name'], index))
+ self._set_status_text(
+ '(%s, %s) %s'
+ % (xt, yt,
+ ', '.join(['%s: %d' % (n,i) for n,i in point_indexes])))
+
+ def _on_enter_axes(self, event):
+ self.display_coordinates = True
+
+ def _on_leave_axes(self, event):
+ self.display_coordinates = False
+ #self.SetStatusText('')
+
+ def _on_mouse_move(self, event):
+ if 'toolbar' in self._c:
+ if event.guiEvent.shiftDown:
+ self._c['toolbar'].set_cursor(wx.CURSOR_RIGHT_ARROW)
+ else:
+ self._c['toolbar'].set_cursor(wx.CURSOR_ARROW)
+ if self.display_coordinates:
+ coordinateString = ''.join(
+ ['x: ', str(event.xdata), ' y: ', str(event.ydata)])
+ #TODO: pretty format
+ #self.SetStatusText(coordinateString)
+
+ def _on_x_column(self, event):
+ self._x_column = self._c['x column'].GetStringSelection()
+ self.update()
+
+ def _on_y_column(self, event):
+ if not hasattr(self, '_columns') or len(self._columns) == 0:
+ self._y_columns = []
+ return
+ s = Selection(
+ options=self._columns,
+ message='Select visible y column(s).',
+ button_id=wx.ID_OK,
+ selection_style='multiple',
+ parent=self,
+ title='Select y column(s)',
+ style=wx.DEFAULT_DIALOG_STYLE | wx.RESIZE_BORDER)
+ s.CenterOnScreen()
+ s.ShowModal()
+ if s.canceled == True:
+ return
+ self._y_columns = [self._columns[i] for i in s.selected]
+ s.Destroy()
+ if len(self._y_columns) == 0:
+ self._y_columns = self._columns[-1:]
+ self.update()
+
+ def _resize_canvas(self):
+ w,h = self.GetClientSize()
+ if 'toolbar' in self._c:
+ tw,th = self._c['toolbar'].GetSizeTuple()
+ else:
+ th = 0
+ dpi = float(self._c['figure'].get_dpi())
+ self._c['figure'].set_figwidth(w/dpi)
+ self._c['figure'].set_figheight((h-th)/dpi)
+ self._c['canvas'].draw()
+ self.Refresh()
+
+ def OnPaint(self, event):
+ print 'painting'
+ super(PlotPanel, self).OnPaint(event)
+ self._c['canvas'].draw()
+
+ def set_curve(self, curve, config=None):
+ self._curve = curve
+ columns = set()
+ for data in curve.data:
+ columns = columns.union(set(data.info['columns']))
+ self._columns = sorted(columns)
+ if self._x_column not in self._columns:
+ self._x_column = self._columns[0]
+ self._y_columns = [y for y in self._y_columns if y in self._columns]
+ if len(self._y_columns) == 0:
+ self._y_columns = self._columns[-1:]
+ if 'x column' in self._c:
+ for i in range(self._c['x column'].GetCount()):
+ self._c['x column'].Delete(0)
+ self._c['x column'].AppendItems(self._columns)
+ self._c['x column'].SetStringSelection(self._x_column)
+ self.update(config=config)
+
+ def update(self, config=None):
+ if config == None:
+ config = self._config # use the last cached value
+ else:
+ self._config = config # cache for later refreshes
+ self._c['figure'].clear()
+ self._c['figure'].suptitle(
+ self._hooke_frame._file_name(self._curve.name),
+ fontsize=12)
+ axes = self._c['figure'].add_subplot(1, 1, 1)
+
+ if config['plot SI format'] == True:
+ d = config['plot decimals']
+ x_n, self._x_unit = split_data_label(self._x_column)
+ y_n, self._y_unit = split_data_label(self._y_columns[0])
+ for y_column in self._y_columns[1:]:
+ y_n, y_unit = split_data_label(y_column)
+ if y_unit != self._y_unit:
+ log = logging.getLogger('hooke')
+ log.warn('y-axes unit mismatch: %s != %s, using %s.'
+ % (self._y_unit, y_unit, self._y_unit))
+ fx = HookeFormatter(decimals=d, unit=self._x_unit)
+ axes.xaxis.set_major_formatter(fx)
+ fy = HookeFormatter(decimals=d, unit=self._y_unit)
+ axes.yaxis.set_major_formatter(fy)
+ axes.set_xlabel(x_n)
+ if len(self._y_columns) == 1:
+ axes.set_ylabel(y_n)
+ else:
+ self._x_unit = ''
+ self._y_unit = ''
+ axes.set_xlabel(self._x_column)
+ if len(self._y_columns) == 1:
+ axes.set_ylabel(self._y_columns[0])
+
+ self._c['figure'].hold(True)
+ for i,data in enumerate(self._curve.data):
+ for y_column in self._y_columns:
+ try:
+ x_col = data.info['columns'].index(self._x_column)
+ y_col = data.info['columns'].index(y_column)
+ except ValueError:
+ continue # data is missing a required column
+ axes.plot(data[:,x_col], data[:,y_col],
+ '.',
+ label=('%s, %s' % (data.info['name'], y_column)))
+ if config['plot legend'] == True:
+ axes.legend(loc='best')
+ self._c['canvas'].draw()
projects / hooke.git / blobdiff