def update_all_curves(self, data, labels, ranges, mscore, intensity,
assay_rt, show_legend):
assert len(data) == len(
labels
), "Length of labels %s does not correspond to length of data %s" % (
len(labels), len(data))
self.create_curves(labels, ranges, show_legend)
if mscore is not None and len(ranges) < 2:
self.mscore_label = make.label("m_score=%0.4g" % mscore, "TL",
(0, 0), "TL")
self.get_plot().add_item(self.mscore_label)
self.l2 = make.label("Int=%0.4g" % intensity, "TL", (0, 25), "TL")
self.get_plot().add_item(self.l2)
self.width = make.label(
"PeakWidth=%0.3fs" % (ranges[0][1] - ranges[0][0]), "TL",
(0, 50), "TL")
self.get_plot().add_item(self.width)
self.assay_rt = make.label("Assay RT=%0.3fs" % (assay_rt), "TL",
(0, 75), "TL")
self.get_plot().add_item(self.assay_rt)
for d, curve in zip(data, self.curves):
curve.set_data(d[0], d[1])
self.get_plot().do_autoscale()
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
from numpy import linspace, sin
x = linspace(-10, 10, 200)
dy = x / 100.0
y = sin(sin(sin(x)))
x2 = linspace(-10, 10, 20)
y2 = sin(sin(sin(x2)))
plot(
[
make.curve(x, y, color="b"),
make.label(
"Relative position <b>outside</b>", (x[0], y[0]), (-10, -10), "BR"
),
],
[make.curve(x2, y2, color="g"),],
[
make.curve(x, sin(2 * y), color="r"),
make.label("Relative position <i>inside</i>", (x[0], y[0]), (10, 10), "TL"),
],
[
make.merror(x, y / 2, dy),
make.label("Absolute position", "R", (0, 0), "R"),
make.legend("TR"),
],
)
def build_items():
x = np.linspace(-10, 10, 200)
y = np.sin(np.sin(np.sin(x)))
filename = osp.join(osp.dirname(__file__), "brain.png")
items = [
make.curve(x, y, color="b"),
make.image(filename=filename),
make.trimage(filename=filename),
make.maskedimage(filename=filename, colormap='gray',
show_mask=True, xdata=[0, 40], ydata=[0, 50]),
make.label("Relative position <b>outside</b>",
(x[0], y[0]), (-10, -10), "BR"),
make.label("Relative position <i>inside</i>",
(x[0], y[0]), (10, 10), "TL"),
make.label("Absolute position", "R", (0, 0), "R"),
make.legend("TR"),
make.rectangle(-3, -0.8, -0.5, -1., "rc1"),
make.segment(-3, -0.8, -0.5, -1., "se1"),
make.ellipse(-10, 0.0, 0, 0, "el1"),
make.annotated_rectangle(0.5, 0.8, 3, 1., "rc1", "tutu"),
make.annotated_segment(-1, -1, 1, 1., "rc1", "tutu"),
Axes( (0, 0), (1, 0), (0, 1) ),
PolygonShape(np.array([[150., 330.],
[270., 520.],
[470., 480.],
[520., 360.],
[460., 200.],
[250., 240.]])),
]
return items
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
from numpy import linspace, sin
x = linspace(-10, 10, 200)
dy = x / 100.
y = sin(sin(sin(x)))
x2 = linspace(-10, 10, 20)
y2 = sin(sin(sin(x2)))
curve2 = make.curve(x2, y2, color="g", curvestyle="Sticks")
curve2.setTitle("toto")
plot(
make.curve(x, y, color="b"), curve2,
make.curve(x, sin(2 * y), color="r"), make.merror(x, y / 2, dy),
make.label("Relative position <b>outside</b>", (x[0], y[0]),
(-10, -10), "BR"),
make.label("Relative position <i>inside</i>", (x[0], y[0]), (10, 10),
"TL"), make.label("Absolute position", "R", (0, 0), "R"),
make.legend("TR"),
make.marker(position=(5., .8),
label_cb=lambda x, y: "A = %.2f" % x,
markerstyle="|",
movable=False))
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
from numpy import linspace, sin
mydescr = N.dtype([('Zeit', 'float'), ('T1', 'float'), ('T2', 'float'), ('T3', 'float'),('T4', 'float'),('T5', 'float'), ('T6', 'float'), ('T7', 'float'),('T8', 'float')])
myrecarray = read_array('test.ASC', mydescr)
x = myrecarray['Zeit']
y = savitzky_golay(myrecarray['T1'], window_size=131, order=3)
y2 = savitzky_golay(myrecarray['T2'], window_size=131, order=3)
y3 = savitzky_golay(myrecarray['T3'], window_size=131, order=3)
#x = linspace(-10, 10, 200)
#dy = x/100.
#y = sin(sin(sin(x)))
#x2 = linspace(-10, 10, 20)
#y2 = sin(sin(sin(x2)))
plot(make.curve(x, y, color="b"),
make.curve(x, y2, color="g",),
make.curve(x, y3, color="r"),
make.label("Relative position <b>outside</b>",
(x[0], y[0]), (-10, -10), "BR"),
make.label("Relative position <i>inside</i>",
(x[0], y[0]), (10, 10), "TL"),
make.label("Absolute position", "R", (0,0), "R"),
make.legend("TR"),
)
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
from numpy import linspace, sin
x = linspace(-10, 10, 200)
dy = x / 100.0
y = sin(sin(sin(x)))
x2 = linspace(-10, 10, 20)
y2 = sin(sin(sin(x2)))
curve2 = make.curve(x2, y2, color="g", curvestyle="Sticks")
curve2.setTitle("toto")
plot(
make.curve(x, y, color="b"),
curve2,
make.curve(x, sin(2 * y), color="r"),
make.merror(x, y / 2, dy),
make.label("Relative position <b>outside</b>", (x[0], y[0]), (-10, -10), "BR"),
make.label("Relative position <i>inside</i>", (x[0], y[0]), (10, 10), "TL"),
make.label("Absolute position", "R", (0, 0), "R"),
make.legend("TR"),
make.marker(position=(5.0, 0.8), label_cb=lambda x, y: "A = %.2f" % x, markerstyle="|", movable=False),
)
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
from numpy import linspace, sin
import labrad
cx=labrad.connect('lab-rat', password='******')
ai=cx.agilent_pna_with_vxi_11
ai.select_device(0)
testscan=ai.freq_sweep()
len(testscan)
xx=testscan[0].asarray
yytemp=testscan[1].asarray[0]
yy=np.square(abs(yytemp))
# x = linspace(-10, 10, 200)
# dy = x/100.
# y = sin(sin(sin(x)))
# x2 = linspace(-10, 10, 20)
# y2 = sin(sin(sin(x2)))
# plot(make.curve(x, y, color="b"),
# make.curve(x2, y2, color="g", curvestyle="Sticks"),
# make.curve(x, sin(2*y), color="r"),
# make.merror(x, y/2, dy),
# make.label("Relative position <b>outside</b>",
# (x[0], y[0]), (-10, -10), "BR"),
# make.label("Relative position <i>inside</i>",
# (x[0], y[0]), (10, 10), "TL"),
# make.label("Absolute position", "R", (0,0), "R"),
# make.legend("TR"),
# make.marker(position=(5., .8), label_cb=lambda x, y: u"A = %.2f" % x,
# markerstyle="|", movable=False)
# )
plot(make.curve(xx*1e-9, 10*np.log10(yy), color="b"),
make.curve(xx*2e-9, 10*np.log10(yy), color="g"),
# make.curve(x, sin(2*y), color="r"),
# make.merror(x, y/2, dy),
make.label("PNA SCAN<b>test</b>",
(xx[0], yy[0]), (-10, -10), "BR"),
make.label("PNA SCAN<b>test 2X</b>",
(xx[0], yy[0]), (-10, -10), "BR"),
# make.label("Relative position <i>inside</i>",
# (x[0], y[0]), (10, 10), "TL"),
# make.label("Absolute position", "R", (0,0), "R"),
make.legend("TR"),
# make.marker(position=(5., .8), label_cb=lambda xx, yy: u"A = %.2f" % xx,
# markerstyle="|", movable=False)
)
def __init__(self, parent=None):
super(CrossSectionPlot, self).__init__(parent=parent, title="",
section="cross_section")
self.perimage_mode = True
self.autoscale_mode = True
self.autorefresh_mode = True
self.apply_lut = False
self.single_source = False
self.last_obj = None
self.known_items = {}
self._shapes = {}
self.curveparam = CurveParam(_("Curve"), icon="curve.png")
self.set_curve_style("cross_section", "curve")
if self._height is not None:
self.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Minimum)
elif self._width is not None:
self.setSizePolicy(QSizePolicy.Minimum, QSizePolicy.Expanding)
self.label = make.label(self.LABEL_TEXT, "C", (0, 0), "C")
self.label.set_readonly(True)
self.add_item(self.label)
self.setAxisMaxMajor(self.Z_AXIS, self.Z_MAX_MAJOR)
self.setAxisMaxMinor(self.Z_AXIS, 0)
def __init__(self, parent=None):
super(CrossSectionPlot, self).__init__(parent=parent,
title="",
section="cross_section")
self.perimage_mode = True
self.autoscale_mode = True
self.autorefresh_mode = True
self.apply_lut = False
self.single_source = False
self.last_obj = None
self.known_items = {}
self._shapes = {}
self.curveparam = CurveParam(_("Curve"), icon="curve.png")
self.set_curve_style("cross_section", "curve")
if self._height is not None:
self.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Minimum)
elif self._width is not None:
self.setSizePolicy(QSizePolicy.Minimum, QSizePolicy.Expanding)
self.label = make.label(self.LABEL_TEXT, "C", (0, 0), "C")
self.label.set_readonly(True)
self.add_item(self.label)
self.setAxisMaxMajor(self.Z_AXIS, self.Z_MAX_MAJOR)
self.setAxisMaxMinor(self.Z_AXIS, 0)
def setup_widget(self):
# ---Create the plot widget:
x = self.x
y = self.y
self.plot = CurvePlot(self)
self.curve_item = make.curve([], [], color="b")
self.plot.add_item(self.curve_item)
self.plot.set_antialiasing(True)
width = x[-1] - x[0]
self.intrange = make.range(x[0] + 0.4 * width, x[-1] - 0.4 * width)
self.plot.add_item(self.intrange)
self.lbgrange = make.range(x[0] + 0.3 * width, x[-1] - 0.65 * width)
self.plot.add_item(self.lbgrange)
self.lbgrange.pen = Qt.QPen(Qt.QColor("blue"))
self.lbgrange.brush = Qt.QBrush(Qt.QColor(0, 0, 120, 100))
self.rbgrange = make.range(x[0] + 0.7 * width, x[-1] - 0.1 * width)
self.rbgrange.pen = Qt.QPen(Qt.QColor("blue"))
self.rbgrange.brush = Qt.QBrush(Qt.QColor(0, 0, 120, 100))
self.label1 = make.label(r"", "TR", (0, 0), "TR")
self.plot.add_item(self.rbgrange)
self.bg_item = make.curve([], [], color="r")
self.plot.add_item(self.bg_item)
self.fit_bg()
self.plot.add_item(self.label1)
self.connect(self.plot, SIG_RANGE_CHANGED, self.fit_bg)
# ---
vlayout = QVBoxLayout()
vlayout.addWidget(self.plot)
self.setLayout(vlayout)
self.update_curve()
def update_all_curves(self, data, labels, ranges, mscore, intensity, show_legend=True):
assert len(data) == len(labels), "Length of labels %s does not correspond to length of data %s" % (len(labels), len(data))
self.create_curves(labels, ranges, show_legend)
if mscore is not None and len(ranges) < 2:
self.mscore_label = make.label("m_score=%0.4g" % mscore, "TL", (0,0), "TL")
self.get_plot().add_item( self.mscore_label )
self.l2 = make.label("Int=%0.4g" % intensity, "TL", (0,25), "TL")
self.get_plot().add_item( self.l2 )
self.width = make.label("PeakWidth=%0.3fs" % (ranges[0][1]-ranges[0][0]), "TL", (0,50), "TL")
self.get_plot().add_item( self.width )
for d, curve in zip(data, self.curves):
curve.set_data( d[0], d[1] )
self.get_plot().do_autoscale()
def build_items():
x = np.linspace(-10, 10, 200)
y = np.sin(np.sin(np.sin(x)))
filename = osp.join(osp.dirname(__file__), "brain.png")
items = [
make.curve(x, y, color="b"),
make.image(filename=filename),
make.trimage(filename=filename),
make.maskedimage(
filename=filename,
colormap="gray",
show_mask=True,
xdata=[0, 40],
ydata=[0, 50],
),
make.label("Relative position <b>outside</b>", (x[0], y[0]), (-10, -10), "BR"),
make.label("Relative position <i>inside</i>", (x[0], y[0]), (10, 10), "TL"),
make.label("Absolute position", "R", (0, 0), "R"),
make.legend("TR"),
make.rectangle(-3, -0.8, -0.5, -1.0, "rc1"),
make.segment(-3, -0.8, -0.5, -1.0, "se1"),
make.ellipse(-10, 0.0, 0, 0, "el1"),
make.annotated_rectangle(0.5, 0.8, 3, 1.0, "rc1", "tutu"),
make.annotated_segment(-1, -1, 1, 1.0, "rc1", "tutu"),
Axes((0, 0), (1, 0), (0, 1)),
PolygonShape(
np.array(
[
[150.0, 330.0],
[270.0, 520.0],
[470.0, 480.0],
[520.0, 360.0],
[460.0, 200.0],
[250.0, 240.0],
]
)
),
]
return items
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
from numpy import linspace, sin
x = linspace(-10, 10, 200)
dy = x/100.
y = sin(sin(sin(x)))
x2 = linspace(-10, 10, 20)
y2 = sin(sin(sin(x2)))
plot([make.curve(x, y, color="b"),
make.label("Relative position <b>outside</b>",
(x[0], y[0]), (-10, -10), "BR"),],
[make.curve(x2, y2, color="g"),
],
[make.curve(x, sin(2*y), color="r"),
make.label("Relative position <i>inside</i>",
(x[0], y[0]), (10, 10), "TL"),],
[make.merror(x, y/2, dy),
make.label("Absolute position", "R", (0, 0), "R"),
make.legend("TR"),]
)
def __init__(
self,
fit: fitting.fit.FitGroup,
d_scalex: str = 'lin',
d_scaley: str = 'lin',
r_scalex: str = 'lin',
r_scaley: str = 'lin',
**kwargs
):
super(GlobalAnisotropy, self).__init__(
fit=fit,
**kwargs
)
self.verbose = kwargs.get('verbose', chisurf.verbose)
self.layout = QtWidgets.QVBoxLayout(self)
self.fit = fit
bottom = QtWidgets.QFrame(self)
bottom.setFrameShape(QtWidgets.QFrame.StyledPanel)
botl = QtWidgets.QVBoxLayout(bottom)
top = QtWidgets.QFrame(self)
top.setMaximumHeight(140)
top.setFrameShape(QtWidgets.QFrame.StyledPanel)
topl = QtWidgets.QVBoxLayout(top)
splitter1 = QtWidgets.QSplitter(QtCore.Qt.Vertical)
splitter1.addWidget(top)
splitter1.addWidget(bottom)
self.layout.addWidget(splitter1)
# Data-Fit dialog
fd = CurveDialog(edit=False, toolbar=True)
#self.get_itemlist_panel().show()
plot = fd.get_plot()
self.data_curve_vv = make.curve([], [], color="b", linewidth=1)
self.irf_curve_vv = make.curve([], [], color="r", linewidth=1)
self.model_curve_vv = make.curve([], [], color="g", linewidth=4)
self.data_curve_vh = make.curve([], [], color="c", linewidth=1)
self.irf_curve_vh = make.curve([], [], color="m", linewidth=1)
self.model_curve_vh = make.curve([], [], color="k", linewidth=4)
plot.add_item(self.data_curve_vv)
plot.add_item(self.irf_curve_vv)
plot.add_item(self.model_curve_vv)
plot.add_item(self.data_curve_vh)
plot.add_item(self.irf_curve_vh)
plot.add_item(self.model_curve_vh)
self.dataPlot = plot
botl.addWidget(fd)
splitter1 = QtWidgets.QSplitter(QtCore.Qt.Horizontal)
topl.addWidget(splitter1)
# Residual dialog
win = CurveDialog(edit=False, toolbar=True)
plot = win.get_plot()
plot.do_autoscale(True)
self.residual_curve_vv = make.curve([], [], color="r", linewidth=2)
self.residual_curve_vh = make.curve([], [], color="b", linewidth=2)
plot.add_item(self.residual_curve_vv)
plot.add_item(self.residual_curve_vh)
self.chi2_label = make.label("", "R", (-10, 27), "R")
plot.add_item(self.chi2_label)
title = make.label("w.res.", "R", (0, -40), "R")
plot.add_item(title)
self.residualPlot = plot
splitter1.addWidget(plot)
win = CurveDialog(edit=False, toolbar=True)
plot = win.get_plot()
plot.do_autoscale(True)
self.autocorr_curve_vv = make.curve([], [], color="r", linewidth=2)
self.autocorr_curve_vh = make.curve([], [], color="b", linewidth=2)
plot.add_item(self.autocorr_curve_vv)
plot.add_item(self.autocorr_curve_vh)
title = make.label("auto.cor.", "R", (0, -40), "R")
plot.add_item(title)
self.autoCorrPlot = plot
splitter1.addWidget(plot)
self.pltControl = LinePlotWidget(
self,
d_scalex,
d_scaley,
r_scalex,
r_scaley
)
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
from numpy import linspace, sin
import labrad
cx=labrad.connect('lab-rat', password='******')
# ai=cx.agilent_pna_with_vxi_11
# ai.select_device(0)
# testscan=ai.freq_sweep()
adc=cx.acqiris_adc
adc.select_device(0)
adc.config_clock('INT')
adc.config_horizontal(2048,1e-9,0)
adc.config_trigger_class('EDGE', 'EXT1')
adc.config_trigger_source('EXT1', 'DC', 'POS', 0.2000)
adc.config_vertical(1, 0.05,0,'DC_50','NOLIM')
adc.config_vertical(2, 0.05,0,'DC_50','NOLIM')
testscan=adc.acquire(1000,[1,2], 5000)
len(testscan)
II=testscan.asarray[0]
QQ=testscan.asarray[1]
# MODE=np.sqrt(np.square(II)+np.square(QQ))
xx=range(2048)
# x = linspace(-10, 10, 200)
# dy = x/100.
# y = sin(sin(sin(x)))
# x2 = linspace(-10, 10, 20)
# y2 = sin(sin(sin(x2)))
# plot(make.curve(x, y, color="b"),
# make.curve(x2, y2, color="g", curvestyle="Sticks"),
# make.curve(x, sin(2*y), color="r"),
# make.merror(x, y/2, dy),
# make.label("Relative position <b>outside</b>",
# (x[0], y[0]), (-10, -10), "BR"),
# make.label("Relative position <i>inside</i>",
# (x[0], y[0]), (10, 10), "TL"),
# make.label("Absolute position", "R", (0,0), "R"),
# make.legend("TR"),
# make.marker(position=(5., .8), label_cb=lambda x, y: u"A = %.2f" % x,
# markerstyle="|", movable=False)
# )
plot(make.curve(xx, II, color="b"),
make.curve(xx, QQ, color="g"),
# make.curve(xx, MODE, color="r"),
# make.curve(x, sin(2*y), color="r"),
# make.merror(x, y/2, dy),
make.label("ADC SCAN<b>test</b>",
(xx[0], II[0]), (-10, -10), "BR"),
make.label("ADC SCAN<b>test 2X</b>",
(xx[0], QQ[0]), (-10, -10), "BR")
# make.label("ADC SCAN<b>test 2X</b>",
# (xx[0], MODE[0]), (-10, -10), "BR"),
# make.label("Relative position <i>inside</i>",
# (x[0], y[0]), (10, 10), "TL"),
# make.label("Absolute position", "R", (0,0), "R"),
# make.legend("TR")
# make.marker(position=(5., .8), label_cb=lambda xx, yy: u"A = %.2f" % xx,
# markerstyle="|", movable=False)
)
def __init__(self,
fit,
d_scalex='lin',
d_scaley='lin',
r_scalex='lin',
r_scaley='lin'):
Plot.__init__(self)
self.layout = QtGui.QVBoxLayout(self)
self.fit = fit
bottom = QtGui.QFrame(self)
bottom.setFrameShape(QtGui.QFrame.StyledPanel)
botl = QtGui.QVBoxLayout(bottom)
top = QtGui.QFrame(self)
top.setMaximumHeight(140)
top.setFrameShape(QtGui.QFrame.StyledPanel)
topl = QtGui.QVBoxLayout(top)
splitter1 = QtGui.QSplitter(QtCore.Qt.Vertical)
splitter1.addWidget(top)
splitter1.addWidget(bottom)
self.layout.addWidget(splitter1)
# Data-Fit dialog
fd = CurveDialog(edit=False, toolbar=True)
#self.get_itemlist_panel().show()
plot = fd.get_plot()
self.data_curve = make.curve([1], [1], color="b", linewidth=1)
self.irf_curve = make.curve([1], [1], color="r", linewidth=1)
self.model_curve = make.curve([1], [1], color="g", linewidth=4)
plot.add_item(self.data_curve)
plot.add_item(self.irf_curve)
plot.add_item(self.model_curve)
self.dataPlot = plot
botl.addWidget(fd)
splitter1 = QtGui.QSplitter(QtCore.Qt.Horizontal)
topl.addWidget(splitter1)
# Residual dialog
win = CurveDialog(edit=False, toolbar=True)
plot = win.get_plot()
plot.do_autoscale(True)
self.residual_curve = make.curve([1], [1], color="r", linewidth=2)
plot.add_item(self.residual_curve)
self.chi2_label = make.label("", "R", (-10, 27), "R")
plot.add_item(self.chi2_label)
title = make.label("w.res.", "R", (0, -40), "R")
plot.add_item(title)
self.residualPlot = plot
splitter1.addWidget(plot)
win = CurveDialog(edit=False, toolbar=True)
plot = win.get_plot()
plot.do_autoscale(True)
self.autocorr_curve = make.curve([1], [1], color="r", linewidth=2)
plot.add_item(self.autocorr_curve)
title = make.label("auto.cor.", "R", (0, -40), "R")
plot.add_item(title)
self.autoCorrPlot = plot
splitter1.addWidget(plot)
self.pltControl = linePlotWidget(self, d_scalex, d_scaley, r_scalex,
r_scaley)
def __init__(
self,
fit: fitting.fit.FitGroup,
f_scalex: str = 'log',
f_scaley: str = 'lin',
e_scalex: str = 'log',
e_scaley: str = 'lin',
*args,
**kwargs
):
self.fit = fit
## Distance distribution plot
fd = CurveDialog(edit=False, toolbar=False)
plot = fd.get_plot()
self.p_rda_plot = plot
self.verticalLayout_12.addWidget(fd)
self.p_rda_curve = make.curve([1], [1], color="r", linewidth=2)
plot.add_item(self.p_rda_curve)
## Fluorescence intensity plot
win = CurveDialog(edit=False, toolbar=False)
plot = win.get_plot()
plot.do_autoscale(True)
title = make.label("FDA,FD0", "R", (0, 10), "R")
plot.add_item(title)
self.fd0_curve = make.curve([1], [1], color="g", linewidth=2)
self.fda_curve = make.curve([1], [1], color="r", linewidth=2)
plot.add_item(self.fd0_curve)
plot.add_item(self.fda_curve)
self.fd_plot = plot
self.fd_plot.set_scales(f_scalex, f_scaley)
self.verticalLayout.addWidget(plot)
## Calculated E(t) plot
win = CurveDialog(edit=False, toolbar=False)
plot = win.get_plot()
plot.do_autoscale(True)
self.et_curve = make.curve([1], [1], color="b", linewidth=2)
plot.add_item(self.et_curve)
title = make.label("E(t)", "R", (0, 10), "R")
plot.add_item(title)
self.et_plot = plot
self.et_plot.set_scales(e_scalex, e_scaley)
self.verticalLayout_2.addWidget(plot)
## weighted-residuals of inversion
win = CurveDialog(edit=False, toolbar=True)
plot = win.get_plot()
plot.do_autoscale(True)
self.wres_curve = make.curve([1], [1], color="m", linewidth=2)
plot.add_item(self.wres_curve)
title = make.label("w.res", "R", (0, 10), "R")
plot.add_item(title)
self.wres_plot = plot
self.wres_plot.set_scales('lin', 'lin')
self.verticalLayout_3.addWidget(plot)
## L-Curve plot
win = CurveDialog(edit=False, toolbar=True)
plot = win.get_plot()
plot.do_autoscale(True)
self.l_curve_1 = make.curve([1], [1], color="k", linewidth=2)
plot.add_item(self.l_curve_1)
title = make.label("Reg.", "R", (0, 10), "R")
plot.set_titles(ylabel='reg. par', xlabel='Chi2r')
plot.add_item(title)
self.l_curve_plot_1 = plot
self.l_curve_plot_1.set_scales('lin', 'lin')
self.verticalLayout_4.addWidget(self.l_curve_plot_1)
win = CurveDialog(edit=False, toolbar=True)
plot = win.get_plot()
plot.do_autoscale(True)
self.l_curve_2 = make.curve([1], [1], color="k", linewidth=2)
plot.add_item(self.l_curve_2)
title = make.label("L-Curve", "R", (0, 10), "R")
plot.set_titles(ylabel='|x| (sol. norm)', xlabel='Chi2r')
plot.add_item(title)
self.l_curve_plot_2 = plot
self.l_curve_plot_2.set_scales('log', 'log')
self.verticalLayout_7.addWidget(self.l_curve_plot_2)
