1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
|
# coding: utf-8
# /*##########################################################################
#
# Copyright (c) 2004-2017 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
# ###########################################################################*/
"""
:mod:`silx.gui.plot.actions.fit` module provides actions relative to fit.
The following QAction are available:
- :class:`.FitAction`
.. autoclass:`.FitAction`
"""
from __future__ import division
__authors__ = ["V.A. Sole", "T. Vincent", "P. Knobel"]
__license__ = "MIT"
__date__ = "10/10/2018"
from .PlotToolAction import PlotToolAction
import logging
from silx.gui import qt
from silx.gui.plot.ItemsSelectionDialog import ItemsSelectionDialog
from silx.gui.plot.items import Curve, Histogram
_logger = logging.getLogger(__name__)
def _getUniqueCurve(plt):
"""Get a single curve from the plot.
Get the active curve if any, else if a single curve is plotted
get it, else return None.
:param plt: :class:`.PlotWidget` instance on which to operate
:return: return value of plt.getActiveCurve(), or plt.getAllCurves()[0],
or None
"""
curve = plt.getActiveCurve()
if curve is not None:
return curve
curves = plt.getAllCurves()
if len(curves) == 0:
return None
if len(curves) == 1 and len(plt._getItems(kind='histogram')) == 0:
return curves[0]
return None
def _getUniqueHistogram(plt):
"""Return the histogram if there is a single histogram and no curve in
the plot. In all other cases, return None.
:param plt: :class:`.PlotWidget` instance on which to operate
:return: histogram or None
"""
histograms = plt._getItems(kind='histogram')
if len(histograms) != 1:
return None
if plt.getAllCurves(just_legend=True):
return None
return histograms[0]
class FitAction(PlotToolAction):
"""QAction to open a :class:`FitWidget` and set its data to the
active curve if any, or to the first curve.
:param plot: :class:`.PlotWidget` instance on which to operate
:param parent: See :class:`QAction`
"""
def __init__(self, plot, parent=None):
super(FitAction, self).__init__(
plot, icon='math-fit', text='Fit curve',
tooltip='Open a fit dialog',
parent=parent)
self.fit_widget = None
def _createToolWindow(self):
window = qt.QMainWindow(parent=self.plot)
# import done here rather than at module level to avoid circular import
# FitWidget -> BackgroundWidget -> PlotWindow -> actions -> fit -> FitWidget
from ...fit.FitWidget import FitWidget
fit_widget = FitWidget(parent=window)
window.setCentralWidget(fit_widget)
fit_widget.guibuttons.DismissButton.clicked.connect(window.close)
fit_widget.sigFitWidgetSignal.connect(self.handle_signal)
self.fit_widget = fit_widget
return window
def _connectPlot(self, window):
# Wait for the next iteration, else the plot is not yet initialized
# No curve available
qt.QTimer.singleShot(10, lambda: self._initFit(window))
def _initFit(self, window):
plot = self.plot
self.xlabel = plot.getXAxis().getLabel()
self.ylabel = plot.getYAxis().getLabel()
self.xmin, self.xmax = plot.getXAxis().getLimits()
histo = _getUniqueHistogram(self.plot)
curve = _getUniqueCurve(self.plot)
if histo is None and curve is None:
# ambiguous case, we need to ask which plot item to fit
isd = ItemsSelectionDialog(parent=plot, plot=self.plot)
isd.setWindowTitle("Select item to be fitted")
isd.setItemsSelectionMode(qt.QTableWidget.SingleSelection)
isd.setAvailableKinds(["curve", "histogram"])
isd.selectAllKinds()
result = isd.exec_()
if result and len(isd.getSelectedItems()) == 1:
item = isd.getSelectedItems()[0]
else:
return
elif histo is not None:
# presence of a unique histo and no curve
item = histo
elif curve is not None:
# presence of a unique or active curve
item = curve
self.legend = item.getLegend()
if isinstance(item, Histogram):
bin_edges = item.getBinEdgesData(copy=False)
# take the middle coordinate between adjacent bin edges
self.x = (bin_edges[1:] + bin_edges[:-1]) / 2
self.y = item.getValueData(copy=False)
# else take the active curve, or else the unique curve
elif isinstance(item, Curve):
self.x = item.getXData(copy=False)
self.y = item.getYData(copy=False)
self.fit_widget.setData(self.x, self.y,
xmin=self.xmin, xmax=self.xmax)
window.setWindowTitle(
"Fitting " + self.legend +
" on x range %f-%f" % (self.xmin, self.xmax))
def handle_signal(self, ddict):
x_fit = self.x[self.xmin <= self.x]
x_fit = x_fit[x_fit <= self.xmax]
fit_legend = "Fit <%s>" % self.legend
fit_curve = self.plot.getCurve(fit_legend)
if ddict["event"] == "FitFinished":
y_fit = self.fit_widget.fitmanager.gendata()
if fit_curve is None:
self.plot.addCurve(x_fit, y_fit,
fit_legend,
xlabel=self.xlabel, ylabel=self.ylabel,
resetzoom=False)
else:
fit_curve.setData(x_fit, y_fit)
fit_curve.setVisible(True)
if ddict["event"] in ["FitStarted", "FitFailed"]:
if fit_curve is not None:
fit_curve.setVisible(False)
|
