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#!/usr/bin/python
# coding: utf-8
#
# Strain Analyser
# Copyright (C) 2009-2010 Malcolm Scott <Malcolm.Scott@cl.cam.ac.uk>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License version 2 as
# published by the Free Software Foundation.
#
# This program 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 General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
import numpy
import gtk
import matplotlib
import matplotlib.pyplot as pyplot
from matplotlib.backends.backend_gtkcairo import FigureCanvasGTKCairo as FigureCanvas
from matplotlib.backends.backend_gtk import NavigationToolbar2GTK as NavigationToolbar
class StrainAnalyserDatasetDiffGraph:
def __init__(self, container_vbox, dataset_diff_collection):
self.fig = pyplot.figure()
self.axes = self.fig.add_subplot(1,1,1, autoscale_on=False)
self.canvas = FigureCanvas(self.fig) # a gtk.DrawingArea
self.canvas.show()
container_vbox.pack_start(self.canvas)
toolbar = NavigationToolbar(self.canvas, container_vbox.get_parent_window())
container_vbox.pack_start(toolbar, False, False)
self.dataset_diff_collection = dataset_diff_collection
self.redraw()
def redraw(self):
self.dataset_diff_collection.refresh()
self.axes.clear()
self.axes.grid(True)
self.axes.axvline(x=0, color='black')
self.axes.axhline(y=0, color='black')
self.axes.set_xlabel("Distance (m)")
self.axes.set_ylabel("Strain (µε)")
empty = True
ymax = 0
ymin = 0
for dataset in self.dataset_diff_collection.diffed_data:
self.axes.plot(
[i*dataset.resolution for i in range(dataset.len)],
dataset.straindata,
label=dataset.name
)
empty = False
ymax = max(ymax, dataset.straindata.max())
ymin = min(ymin, dataset.straindata.min())
if not empty:
self.axes.set_ylim(ymin - (ymax-ymin)*0.1, ymax + (ymax-ymin)*0.1)
#if self.straindataset.len > 0:
# self.axes.set_xlim(0, numpy.ma.notmasked_edges(self.straindataset.straindata)[1] * self.straindataset.resolution)
leg = self.axes.legend(labelspacing=0)
self.canvas.draw()
class StrainAnalyserDataGraph:
def __init__(self, widget_add_cb, set_range_cb, set_temperature_offset_cb,
avg_dataset_strain, avg_dataset_temperature):
self.set_range_cb = set_range_cb
self.set_temperature_offset_cb = set_temperature_offset_cb
self.fig = pyplot.figure()
self.axes = self.fig.add_subplot(1,1,1, autoscale_on=False)
self.canvas = FigureCanvas(self.fig) # a gtk.DrawingArea
self.canvas.show()
widget_add_cb(self.canvas)
self.straindataset = avg_dataset_strain
self.temperaturedataset = avg_dataset_temperature
self.range_mode = False
self.press = None
self.temperature_shift = 0
self.range_start = None
self.range_end = None
self.event_cid = {}
self.event_cid['button_press_event'] = self.canvas.mpl_connect('button_press_event', self.on_press)
self.event_cid['button_release_event'] = self.canvas.mpl_connect('button_release_event', self.on_release)
self.event_cid['motion_notify_event'] = self.canvas.mpl_connect('motion_notify_event', self.on_motion)
self.redraw()
def redraw(self):
self.straindataset.refresh()
self.temperaturedataset.refresh()
self.axes.clear()
self.axes.grid(True)
self.axes.axvline(x=0, color='black')
self.axes.axhline(y=0, color='black')
self.axes.set_xlabel("Distance (m)")
self.axes.set_ylabel("Strain (µε)")
empty = True
ymax = 0
ymin = 0
if self.straindataset.len > 0:
self.axes.plot(
[i*self.straindataset.resolution*self.straindataset.resolution_factor
for i in range(self.straindataset.len)],
self.straindataset.straindata,
label="Combined strain",
color="blue"
)
empty = False
ymax = max(ymax, self.straindataset.straindata.max())
ymin = min(ymin, self.straindataset.straindata.min())
if self.temperaturedataset.len > 0:
self.axes.plot(
[i*self.temperaturedataset.resolution*self.temperaturedataset.resolution_factor + self.temperature_shift
for i in range(self.temperaturedataset.len)],
self.temperaturedataset.straindata,
label="Thermal strain",
color="red"
)
empty = False
ymax = max(ymax, self.temperaturedataset.straindata.max())
ymin = min(ymin, self.temperaturedataset.straindata.min())
if not empty:
if self.range_start != None and self.range_end != None:
self.axes.axvspan(self.range_start, self.range_end, color='green', alpha=0.25)
self.axes.set_ylim(ymin - (ymax-ymin)*0.1, ymax + (ymax-ymin)*0.1)
if self.straindataset.len > 0:
self.axes.set_xlim(0, numpy.ma.notmasked_edges(self.straindataset.straindata)[1] * self.straindataset.resolution)
leg = self.axes.legend(labelspacing=0)
self.canvas.draw()
def set_range_mode(self):
self.range_mode = True
def set_align_mode(self):
self.range_mode = False
def set_temperature_shift(self, shift):
self.temperature_shift = shift
self.redraw()
self.set_temperature_offset_cb(shift)
def set_range(self, x1, x2):
if x1 < x2:
self.range_start = x1
self.range_end = x2
else:
self.range_start = x2
self.range_end = x1
self.redraw()
self.set_range_cb(self.range_start, self.range_end)
# draggability:
# http://matplotlib.sourceforge.net/users/event_handling.html
def on_press(self, event):
if event.inaxes != self.axes: return
if self.range_mode:
if self.straindataset.len == 0 and self.temperaturedataset.len == 0: return
else:
if self.straindataset.len == 0 or self.temperaturedataset.len == 0: return
self.press = self.temperature_shift, event.xdata, event.ydata
if self.range_mode:
self.set_range(event.xdata, event.xdata)
def on_motion(self, event):
if self.press is None or event.inaxes != self.axes:
return
orig_shift, xpress, ypress = self.press
if self.range_mode:
self.set_range(event.xdata, xpress)
else:
dx = event.xdata - xpress
self.set_temperature_shift(orig_shift + dx)
def on_release(self, event):
self.press = None
def simple_graph_viewer(ds):
win = gtk.Window()
win.set_default_size(1000,700)
win.set_title("%s - Graph" % ds.name)
vbox = gtk.VBox()
win.add(vbox)
win.show_all()
fig = pyplot.figure()
axes = fig.add_subplot(1,1,1)
canvas = FigureCanvas(fig)
canvas.show()
vbox.pack_start(canvas)
toolbar = NavigationToolbar(canvas, win)
vbox.pack_start(toolbar, False, False)
axes.grid(True)
axes.axvline(x=0, color='black')
axes.axhline(y=0, color='black')
axes.set_xlabel("Distance (m)")
axes.set_ylabel("Strain (µε)")
axes.plot([i*ds.resolution for i in range(ds.len)], ds.straindata, label=ds.name)
axes.set_ylim(ds.straindata.min() - 50, ds.straindata.max() + 50)
canvas.draw()
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