def initUI(self, e=None):
""" Definition, configuration and initialisation of the ODMR GUI.
@param object e: Fysom.event object from Fysom class.
An object created by the state machine module Fysom,
which is connected to a specific event (have a look in
the Base Class). This object contains the passed event,
the state before the event happened and the destination
of the state which should be reached after the event
had happened.
This init connects all the graphic modules, which were created in the
*.ui file and configures the event handling between the modules.
"""
self._no_logic = self.get_in_connector('nuclearoperationslogic')
self._save_logic = self.get_in_connector('savelogic')
# Create the MainWindow to display the GUI
self._mw = NuclearOperationsMainWindow()
# Add save file tag input box
self._mw.save_tag_LineEdit = QtWidgets.QLineEdit(self._mw)
self._mw.save_tag_LineEdit.setMaximumWidth(200)
self._mw.save_tag_LineEdit.setToolTip('Enter a nametag which will be\n'
'added to the filename.')
self._mw.save_ToolBar.addWidget(self._mw.save_tag_LineEdit)
# Set the values from the logic to the GUI:
# Set the pulser parameter:
self._mw.electron_rabi_periode_DSpinBox.setValue(
self._no_logic.electron_rabi_periode * 1e9)
self._mw.pulser_mw_freq_DSpinBox.setValue(
self._no_logic.pulser_mw_freq / 1e6)
self._mw.pulser_mw_amp_DSpinBox.setValue(self._no_logic.pulser_mw_amp)
self._mw.pulser_mw_ch_SpinBox.setValue(self._no_logic.pulser_mw_ch)
self._mw.nuclear_rabi_period0_DSpinBox.setValue(
self._no_logic.nuclear_rabi_period0 * 1e6)
self._mw.pulser_rf_freq0_DSpinBox.setValue(
self._no_logic.pulser_rf_freq0 / 1e6)
self._mw.pulser_rf_amp0_DSpinBox.setValue(
self._no_logic.pulser_rf_amp0)
self._mw.nuclear_rabi_period1_DSpinBox.setValue(
self._no_logic.nuclear_rabi_period1 * 1e6)
self._mw.pulser_rf_freq1_DSpinBox.setValue(
self._no_logic.pulser_rf_freq1 / 1e6)
self._mw.pulser_rf_amp1_DSpinBox.setValue(
self._no_logic.pulser_rf_amp1)
self._mw.pulser_rf_ch_SpinBox.setValue(self._no_logic.pulser_rf_ch)
self._mw.pulser_laser_length_DSpinBox.setValue(
self._no_logic.pulser_laser_length * 1e9)
self._mw.pulser_laser_amp_DSpinBox.setValue(
self._no_logic.pulser_laser_amp)
self._mw.pulser_laser_ch_SpinBox.setValue(
self._no_logic.pulser_laser_ch)
self._mw.num_singleshot_readout_SpinBox.setValue(
self._no_logic.num_singleshot_readout)
self._mw.pulser_idle_time_DSpinBox.setValue(
self._no_logic.pulser_idle_time * 1e9)
self._mw.pulser_detect_ch_SpinBox.setValue(
self._no_logic.pulser_detect_ch)
# set the measurement parameter:
self._mw.current_meas_asset_name_ComboBox.clear()
self._mw.current_meas_asset_name_ComboBox.addItems(
self._no_logic.get_meas_type_list())
if self._no_logic.current_meas_asset_name != '':
index = self._mw.current_meas_asset_name_ComboBox.findText(
self._no_logic.current_meas_asset_name,
QtCore.Qt.MatchFixedString)
if index >= 0:
self._mw.current_meas_asset_name_ComboBox.setCurrentIndex(
index)
if self._no_logic.current_meas_asset_name == 'Nuclear_Frequency_Scan':
self._mw.x_axis_start_DSpinBox.setValue(
self._no_logic.x_axis_start / 1e6)
self._mw.x_axis_step_DSpinBox.setValue(self._no_logic.x_axis_step /
1e6)
elif self._no_logic.current_meas_asset_name in [
'Nuclear_Rabi', 'QSD_-_Artificial_Drive', 'QSD_-_SWAP_FID',
'QSD_-_Entanglement_FID'
]:
self._mw.x_axis_start_DSpinBox.setValue(
self._no_logic.x_axis_start * 1e6)
self._mw.x_axis_step_DSpinBox.setValue(self._no_logic.x_axis_step *
1e6)
self._mw.x_axis_num_points_SpinBox.setValue(
self._no_logic.x_axis_num_points)
self._mw.num_of_meas_runs_SpinBox.setValue(
self._no_logic.num_of_meas_runs)
# set the optimize parameters:
self._mw.optimize_period_odmr_SpinBox.setValue(
self._no_logic.optimize_period_odmr)
self._mw.optimize_period_confocal_SpinBox.setValue(
self._no_logic.optimize_period_confocal)
self._mw.odmr_meas_freq0_DSpinBox.setValue(
self._no_logic.odmr_meas_freq0 / 1e6)
self._mw.odmr_meas_freq1_DSpinBox.setValue(
self._no_logic.odmr_meas_freq1 / 1e6)
self._mw.odmr_meas_freq2_DSpinBox.setValue(
self._no_logic.odmr_meas_freq2 / 1e6)
self._mw.odmr_meas_runtime_DSpinBox.setValue(
self._no_logic.odmr_meas_runtime)
self._mw.odmr_meas_freq_range_DSpinBox.setValue(
self._no_logic.odmr_meas_freq_range / 1e6)
self._mw.odmr_meas_step_DSpinBox.setValue(
self._no_logic.odmr_meas_step / 1e6)
self._mw.odmr_meas_power_DSpinBox.setValue(
self._no_logic.odmr_meas_power)
# set the mw parameters for measurement
self._mw.mw_cw_freq_DSpinBox.setValue(self._no_logic.mw_cw_freq / 1e6)
self._mw.mw_cw_power_DSpinBox.setValue(self._no_logic.mw_cw_power)
self._mw.mw_on_odmr_peak_ComboBox.clear()
# convert on the fly the integer entries to str entries:
self._mw.mw_on_odmr_peak_ComboBox.addItems(
[str(elem) for elem in self._no_logic.get_available_odmr_peaks()])
# set gated counter parameters:
self._mw.gc_number_of_samples_SpinBox.setValue(
self._no_logic.gc_number_of_samples)
self._mw.gc_samples_per_readout_SpinBox.setValue(
self._no_logic.gc_samples_per_readout)
# Create the graphic display for the measurement:
self.nuclear_ops_graph = pg.PlotDataItem(
self._no_logic.x_axis_list,
self._no_logic.y_axis_list,
pen=QtGui.QPen(QtGui.QColor(212, 85, 0, 255)))
self._mw.nulcear_ops_GraphicsView.addItem(self.nuclear_ops_graph)
# Set the proper initial display:
self.current_meas_asset_name_changed()
# Connect the signals:
self._mw.current_meas_asset_name_ComboBox.currentIndexChanged.connect(
self.current_meas_asset_name_changed)
# adapt the unit according to the
# Connect the start and stop signals:
self._mw.action_run_stop.toggled.connect(self.start_stop_measurement)
self._mw.action_continue.toggled.connect(
self.continue_stop_measurement)
self._mw.action_save.triggered.connect(self.save_measurement)
self._no_logic.sigMeasurementStopped.connect(
self._update_display_meas_stopped)
# Connect graphic update:
self._no_logic.sigCurrMeasPointUpdated.connect(self.update_meas_graph)
self._no_logic.sigCurrMeasPointUpdated.connect(
self.update_meas_parameter)
def show_data(self):
f = open(self.myfile, 'r')
lines = f.readlines()
result = []
for x in lines:
result.append(x.split('#')[0])
f.close()
a = [x for x in result if x != '']
self.time = np.zeros(len(a))
self.counts1 = np.zeros(len(a))
self.error1 = np.zeros(len(a))
self.counts2 = np.zeros(len(a))
self.error2 = np.zeros(len(a))
self._mw.data_plot.clear()
self._mw.processeddataplot.clear()
for i in range(len(a)):
self.time[i]=np.asarray(a[i].split(), dtype=np.float32)[0]
self.counts1[i] = np.asarray(a[i].split(), dtype=np.float32)[1]
self.error1[i] = np.asarray(a[i].split(), dtype=np.float32)[3]
self.counts2[i] = np.asarray(a[i].split(), dtype=np.float32)[2]
self.error2[i] = np.asarray(a[i].split(), dtype=np.float32)[4]
#self.time = self.time[np.where(self.time >= 268*1e-9)]
#self.counts1 = self.counts1[np.where(self.time >= 268*1e-9)]
#self.counts2 = self.counts2[np.where(self.time >= 268*1e-9)]
self.data_image1 = pg.PlotDataItem(self.time*1e+9,
self.counts1,
pen=pg.mkPen(palette.c1, style=QtCore.Qt.DotLine),
symbol='o',
symbolPen=palette.c1,
symbolBrush=palette.c1,
symbolSize=7)
self._mw.data_plot.addItem(self.data_image1)
self.data_image2 = pg.PlotDataItem(self.time * 1e+9,
self.counts2,
pen=pg.mkPen(palette.c3, style=QtCore.Qt.DotLine),
symbol='o',
symbolPen=palette.c3,
symbolBrush=palette.c3,
symbolSize=7)
self._mw.data_plot.addItem(self.data_image2)
self._mw.data_plot.setLabel(axis='left', text='Counts', units='Counts/s')
self._mw.data_plot.setLabel(axis='bottom', text='time', units='ns')
self._mw.data_plot.showGrid(x=True, y=True, alpha=0.8)
self.baseline = np.sum(self.counts2+self.counts1)/len(self.counts2)/2
C0_up = self.baseline / (1 - 0.01 * self._mw.contrast.value() / 2)
C0_down = C0_up * (1 - 0.01 * self._mw.contrast.value())
counts = self.counts2 - self.counts1
self.T = self.time * 16 * self._mw.sequence_order.value()
self.normalized_counts = (counts) / (C0_up - C0_down)
self.normalized_image = pg.PlotDataItem(self.time,
self.normalized_counts,
pen=pg.mkPen(palette.c2, style=QtCore.Qt.DotLine),
symbol='o',
symbolPen=palette.c2,
symbolBrush=palette.c2,
symbolSize=7)
self._mw.processeddataplot.addItem(self.normalized_image)
self._mw.processeddataplot.setLabel(axis='left', text='Counts', units='Counts/s')
self._mw.processeddataplot.setLabel(axis='bottom', text='time', units='s')
self._mw.processeddataplot.showGrid(x=True, y=True, alpha=0.8)
self._filter_function_button_fired()
def __init__(self,
parent,
cmdp,
statistics_font_resizer,
marker_font_resizer,
name,
display_name=None,
units=None,
y_limit=None,
y_log_min=None,
y_range=None,
**kwargs):
QtCore.QObject.__init__(self, parent=parent)
self._cmdp = cmdp
self.text_item = None
self.name = name
self.log = logging.getLogger(__name__ + '.' + name)
self.units = units
self.config = {
'name': name,
'y-axis': {
'limit': y_limit,
'log_min': y_log_min,
'range': 'auto' if y_range is None else y_range,
'scale': 'linear',
},
}
self._statistics_font_resizer = statistics_font_resizer
self.markers: Dict[str, Marker] = None # WARNING: for reference only
self._marker_font_resizer = marker_font_resizer
self._markers_single = {}
self._markers_dual = {}
self._is_min_max_active = False # when zoomed out enough to display min/max
self._y_pan = None
self.vb = SignalViewBox(name=self.name)
if y_limit is not None:
y_min, y_max = y_limit
self.vb.setLimits(yMin=y_min, yMax=y_max)
self.vb.setYRange(y_min, y_max, padding=0)
self.y_axis = YAxis(name, cmdp, log_enable=y_log_min is not None)
self.y_axis.linkToView(self.vb)
self.y_axis.setGrid(128)
self._y_range_now = [None, None]
self._most_recent_data = None
if display_name is None:
display_name = name
if display_name is not None:
self.y_axis.setLabel(text=display_name, units=units)
self.text_item = SignalStatistics(field=self.name,
units=units,
cmdp=cmdp)
self.curve_mean = pg.PlotDataItem()
self.curve_max = pg.PlotDataItem()
self.curve_min = pg.PlotDataItem()
self.curve_range = None
self.vb.addItem(self.curve_max)
self.vb.addItem(self.curve_min)
self.vb.addItem(self.curve_mean)
self.curve_max.hide()
self.curve_min.hide()
self.y_axis.sigConfigEvent.connect(self.y_axis_config_update)
self.y_axis.sigWheelZoomYEvent.connect(self.on_wheelZoomY)
self.y_axis.sigPanYEvent.connect(self.on_panY)
self.y_axis.range_set(self.config['y-axis']['range'])
self.vb.sigYRangeChanged.connect(self._on_y_range_changed)
cmdp.subscribe('Widgets/Waveform/grid_y',
self._on_grid_y,
update_now=True)
cmdp.subscribe('Widgets/Waveform/show_min_max',
self._on_show_min_max,
update_now=True)
cmdp.subscribe('Widgets/Waveform/trace_width',
self._on_colors,
update_now=True)
cmdp.subscribe('Appearance/__index__',
self._on_colors,
update_now=True)
def test_clear_in_step_mode():
w = pg.PlotWidget()
c = pg.PlotDataItem([1, 4, 2, 3], [5, 7, 6], stepMode="center")
w.addItem(c)
c.clear()
# a standard pyqtgraph plot_item
w = pg.PlotWidget()
# add legend to the plot, for that we have to give a name to plot items
w.addLegend()
# add a Y2 axis
from taurus.qt.qtgui.tpg import Y2ViewBox
y2ViewBox = Y2ViewBox()
y2ViewBox.attachToPlotItem(w.getPlotItem())
# adding a regular data item (non-taurus)
c1 = pg.PlotDataItem(
name="st plot",
pen=dict(color="y", width=3, style=QtCore.Qt.DashLine),
fillLevel=0.3,
fillBrush="g",
)
c1.setData(numpy.arange(300) / 300.0)
w.addItem(c1)
# adding a taurus data item
c2 = TaurusPlotDataItem(name="st2 plot",
pen="r",
symbol="o",
symbolSize=10)
c2.setModel("sys/tg_test/1/wave")
w.addItem(c2)
def peak_detection(blueThresh, redThresh, bluePeakThresh, redPeakThresh,
image_plot, stack, czpro):
markers = ['C', 'A', 'G', 'T']
colors = ['r', 'b']
score = ascore = gscore = tscore = spseries = pd.Series()
df = pd.DataFrame({
"ident": [],
'stimes': [],
'etimes': [],
'maxes': [],
'mins': []
})
seqdf = pd.DataFrame({'base': [], 'times': []})
time1, intensity1 = image_plot.roiCurve1.getData()
time2, intensity2 = image_plot.roiCurve2.getData()
intensities = [intensity1, intensity2]
# self.firingplotlist = []
peak_series = pd.Series()
min_series = pd.Series()
firing_plot_list = []
def threshold_data(data, threshold, noise, other_data):
intensity_high_enough = data > thresh
intensity_greater_than_other = data > other_data[idx - 1]
firing_points = np.where(intensity_high_enough
& intensity_greater_than_other)[0]
boundary_points = np.diff(firing_points)
boundary_idxs = list(np.concatenate(np.argwhere(boundary_points)))
firing_bounds = list(zip(boundary_idxs[::2], boundary_idxs[1::2]))
for start, end in firing_bounds:
# sp = start_points[idx]
# ep = end_points[idx] + 1
# end += 1
x_values = np.arange(start, end)
intensities = intensity[start:end]
curve_pen = pg.mkPen(colors[idx], width=2)
curve = pg.PlotDataItem(x=x_values, y=intensities, pen=curve_pen)
firing_plot_list.append(curve)
# Plotting the curves highlighting each base
image_plot.getRoiPlot().addItem(curve)
try:
peaks, mins = peakdet(v=intensities, delta=noise, x=x_values)
if len(peaks) == 0 or len(mins) == 0:
peaks = np.NAN
substack = np.mean(stack[start:end], 0)
call = get_call(substack, czpro, idx)
seqdf = seqdf.append(pd.DataFrame({
'base': [call],
'times': [start]
}),
ignore_index=True)
else:
# point = pg.PlotDataItem(maxes, pen = None, symbol = 'o', symbolBrush = 'g')
# self.p1.getRoiPlot().addItem(point)
# self.firingplotlist.append(point)
# point = pg.PlotDataItem(mins, pen = None, symbol = 'o', symbolBrush = 'r')
# self.p1.getRoiPlot().addItem(point)
# self.firingplotlist.append(point)
for idx, x in enumerate(peaks):
if idx == 0:
ssp = start
sep = int(mins[idx][0])
elif idx == len(peaks) - 1:
ssp = int(mins[idx - 1][0])
sep = end
else:
ssp = int(mins[idx - 1][0])
sep = int(mins[idx][0])
substack = np.mean(stack[ssp:sep + 1], 0)
call = get_call(substack, czpro, idx)
seqdf = seqdf.append(pd.DataFrame({
'base': [call],
'times': [ssp]
}),
ignore_index=True)
peak_series = peak_series.append(pd.Series([peaks]))
min_series = min_series.append(pd.Series([mins]))
except Exception as e:
raise ValueError
for idx, intensity in enumerate(intensities):
if idx == 0:
thresh = redThresh
noise = redPeakThresh
elif idx == 1:
thresh = blueThresh
noise = bluePeakThresh
else:
raise IndexError("Intensity index out of range")
intensity_high_enough = intensity > thresh
intensity_greater_than_other = intensity > intensities[idx - 1]
firing_points = np.where(intensity_high_enough
& intensity_greater_than_other)[0]
boundary_points = np.diff(firing_points)
boundary_idxs = np.concatenate([[0],
np.concatenate(
np.argwhere(boundary_points > 1)),
[len(boundary_points)]])
# Skipping doesn't work for intervals of length 1
firing_bounds = list(
zip(firing_points[boundary_idxs[::2]],
firing_points[boundary_idxs[1::2]]))
df = df.append(pd.DataFrame({
"ident": [idx] * len(firing_bounds),
'stimes': [x for x, _ in firing_bounds],
'etimes': [y for _, y in firing_bounds]
}),
ignore_index=True)
# Check that length of start and end points is the same
for start, end in firing_bounds:
# sp = start_points[idx]
# ep = end_points[idx] + 1
# end += 1
x_values = np.arange(start, end)
intensities = intensity[start:end]
curve_pen = pg.mkPen(colors[idx], width=2)
curve = pg.PlotDataItem(x=x_values, y=intensities, pen=curve_pen)
firing_plot_list.append(curve)
# Plotting the curves highlighting each base
image_plot.getRoiPlot().addItem(curve)
try:
maxes, mins = peakdet(v=intensities, delta=noise, x=x_values)
if len(maxes) == 0 or len(mins) == 0:
maxes = np.NAN
substack = np.mean(stack[start:end], 0)
call = get_call(substack, czpro, idx)
seqdf = seqdf.append(pd.DataFrame({
'base': [call],
'times': [start]
}),
ignore_index=True)
else:
# point = pg.PlotDataItem(maxes, pen = None, symbol = 'o', symbolBrush = 'g')
# self.p1.getRoiPlot().addItem(point)
# self.firing_plot_list.append(point)
# point = pg.PlotDataItem(mins, pen = None, symbol = 'o', symbolBrush = 'r')
# self.p1.getRoiPlot().addItem(point)
# self.firing_plot_list.append(point)
for idx, x in enumerate(maxes):
if idx == 0:
ssp = start
sep = int(mins[idx][0])
elif idx == len(maxes) - 1:
ssp = int(mins[idx - 1][0])
sep = end
else:
ssp = int(mins[idx - 1][0])
sep = int(mins[idx][0])
substack = np.mean(stack[ssp:sep + 1], 0)
call = get_call(substack, czpro, idx)
seqdf = seqdf.append(pd.DataFrame({
'base': [call],
'times': [ssp]
}),
ignore_index=True)
peak_series = peak_series.append(pd.Series([maxes]))
min_series = min_series.append(pd.Series([mins]))
except Exception as e:
raise ValueError
seqdf = seqdf.sort(['times', 'base'])
base_colors = {'C': 'r', 'A': 'y', 'G': 'g', 'T': 'b'}
seq_plot_list = []
for idx, x in enumerate(seqdf.index):
base = seqdf.base[idx]
color = base_colors.get(base)
if base in ['C', 'A']:
intensity = intensities[0][int(seqdf.times[idx])]
else:
intensity = intensities[1][int(seqdf.times[idx])]
text = pg.TextItem(base, color=color)
seqplot = image_plot.getRoiPlot().addItem(text)
if idx == 0:
seq_plot_list = [text]
else:
seq_plot_list.append(text)
text.setPos(seqdf.times[idx], intensity)
print(seqdf.base.str.cat())
return seqdf, firing_plot_list, seq_plot_list
def __init__(self):
# use QMainWindow in this early version to benefit from menu, tool bar, etc.
super(Window, self).__init__()
self.setGeometry(100, 100, 1080, 720)
self.setWindowTitle('RubyRead')
self.setWindowIcon(QtGui.QIcon('ruby4.png'))
# self.setStyleSheet('font-size: 10pt')
# create the main window widget and make it central
self.mw = QtGui.QWidget()
self.setCentralWidget(self.mw)
# now make and set layout for the mw (main window)
self.mw_layout = QtGui.QVBoxLayout()
self.mw.setLayout(self.mw_layout)
self.my_thread = myThread(self)
self.my_thread.start()
self.my_thread.callBackSignal.connect(self.thread_callback)
# TODO figure out menubar
# ###'''
# ###Menu bar
# ###'''
# ###
# ###self.main_menu = self.menuBar()
# ###self.file_menu = self.main_menu.addMenu('File')
# ###self.options_menu = self.main_menu.addMenu('Options')
# ###
# ###'''
# ###Options Tab
# ###'''
# ###
# ###self.options_window = QtGui.QTabWidget()
# ###
# #### make p calibration tab and widgets
# ###self.p_calibration_tab = QtGui.QWidget()
# ###self.p_calibration_tab_layout = QtGui.QVBoxLayout()
# ###self.p_calibration_tab.setLayout(self.p_calibration_tab_layout)
# ###
# #### lambda naught options
# ###self.set_lambda_naught_gb = QtGui.QGroupBox()
# ###self.p_calibration_tab_layout.addWidget(self.set_lambda_naught_gb)
# ###self.set_lambda_naught_gb.setTitle(u'\u03BB' + '<sub>0</sub>' + '(295)')
# ###self.set_lambda_naught_label = QtGui.QLabel('Define' + u'\u03BB' + '<sub>0</sub>(295) from:')
# ###self.lambda_from_fit_btn = QtGui.QPushButton('Fit')
# ###self.lambda_from_target_btn = QtGui.QPushButton('Target')
# ###
# #### connect signals
# ###self.lambda_from_fit_btn.clicked.connect(lambda: self.set_lambda_naught('fit'))
# ###self.lambda_from_target_btn.clicked.connect(lambda: self.set_lambda_naught('target'))
# ###
# #### add widgets to layout
# ###self.set_lambda_naught_vb = QtGui.QVBoxLayout()
# ###self.set_lambda_naught_gb.setLayout(self.set_lambda_naught_vb)
# ###self.set_lambda_naught_vb.addWidget(self.set_lambda_naught_label)
# ###
# ###self.set_lambda_btns_layout = QtGui.QHBoxLayout()
# ###self.set_lambda_btns_layout.addWidget(self.lambda_from_fit_btn)
# ###self.set_lambda_btns_layout.addWidget(self.lambda_from_target_btn)
# ###self.set_lambda_naught_vb.addLayout(self.set_lambda_btns_layout)
# ###
# ###
# ###
# ###
# ###
# ###
# ###
# ###
# ###self.options_window.addTab(self.p_calibration_tab, 'P Calibration')
# ###
# ###self.options_window.show()
'''
Custom Toolbar
'''
# make custom toolbar for top of main window
self.tb = QtGui.QWidget()
self.tb_layout = QtGui.QHBoxLayout()
self.tb_layout.setAlignment(QtCore.Qt.AlignLeft)
self.tb.setLayout(self.tb_layout)
# make custom toolbar widgets
self.take_spec_label = QtGui.QLabel('Collect')
self.take_one_spec_btn = QtGui.QPushButton('1')
self.take_n_spec_btn = QtGui.QPushButton('n')
self.take_n_spec_btn.setCheckable(True)
self.fit_spec_label = QtGui.QLabel('Fit')
self.fit_one_spec_btn = QtGui.QPushButton('1')
self.fit_n_spec_btn = QtGui.QPushButton('n')
self.fit_n_spec_btn.setCheckable(True)
self.save_spec_label = QtGui.QLabel('Save')
self.save_spec_data_btn = QtGui.QPushButton('Data')
self.save_spec_plot_btn = QtGui.QPushButton('Plot')
# connect custom toolbar signals
self.take_one_spec_btn.clicked.connect(lambda: start_timer(1))
self.take_n_spec_btn.clicked.connect(lambda: start_timer(0))
self.fit_one_spec_btn.clicked.connect(fit_spectrum)
# add custom toolbar widgets to toolbar layout
self.tb_layout.addWidget(self.take_spec_label)
self.tb_layout.addWidget(self.take_one_spec_btn)
self.tb_layout.addWidget(self.take_n_spec_btn)
self.tb_layout.addSpacing(20)
self.tb_layout.addWidget(self.fit_spec_label)
self.tb_layout.addWidget(self.fit_one_spec_btn)
self.tb_layout.addWidget(self.fit_n_spec_btn)
self.tb_layout.addSpacing(20)
self.tb_layout.addWidget(self.save_spec_label)
self.tb_layout.addWidget(self.save_spec_data_btn)
self.tb_layout.addWidget(self.save_spec_plot_btn)
# add custom toolbar to main window
self.mw_layout.addWidget(self.tb)
'''
Plot Window
'''
# make the plot window for the left side of bottom layout
self.pw = pg.PlotWidget(name='Plot1')
# ###EXPERIMENT WITH STYLE###
self.pw.setTitle('Spectrum', size='12pt')
# label_style = {'color': '#808080', 'font-size': '11px'}
self.pw.plotItem.getAxis('left').enableAutoSIPrefix(False)
self.pw.setLabel('left', 'Intensity',
units='counts') #, **label_style)
self.pw.setLabel('bottom', 'Wavelength', units='nm')
# create plot items (need to be added when necessary)
self.raw_data = pg.PlotDataItem()
self.fit_data = pg.PlotDataItem()
self.r1_data = pg.PlotDataItem()
self.r2_data = pg.PlotDataItem()
self.bg_data = pg.PlotDataItem()
# self.ref_data = pg.PlotDataItem()
# self.target_data = pg.PlotDataItem()
# stylize plot items
self.fit_data.setPen(color='r', width=2)
self.r1_data.setPen(color='g', style=QtCore.Qt.DashLine)
self.r2_data.setPen(color='b', style=QtCore.Qt.DashLine)
self.bg_data.setPen(color='c', style=QtCore.Qt.DashLine)
line_dict = {'angle': 90, 'fill': 'k'}
self.vline_press = pg.InfiniteLine(pos=694.260,
angle=90.0,
movable=False,
pen='g',
label='Fit',
labelOpts=line_dict)
self.vline_ref = pg.InfiniteLine(pos=694.260,
angle=90.0,
movable=False,
pen='m',
label='Reference',
labelOpts=line_dict)
self.vline_target = pg.InfiniteLine(pos=694.260,
angle=90.0,
movable=True,
pen='y',
label='Target',
labelOpts=line_dict)
# raw data is always visible, add rest when or as needed
self.pw.addItem(self.raw_data)
# create signal for target pressure line
self.vline_target.sigPositionChanged.connect(self.target_line_moved)
# ###LAYOUT MANAGEMENT###
# make layout for plot window and control window and add to main window
self.bottom_layout = QtGui.QHBoxLayout()
self.mw_layout.addLayout(self.bottom_layout)
# add plot widget to bottom layout
self.bottom_layout.addWidget(self.pw)
# make the control window for the right side and add it to main window layout
self.cw = QtGui.QWidget()
self.cw.setMaximumWidth(300)
self.bottom_layout.addWidget(self.cw)
# make the layout for the control widget
self.cw_layout = QtGui.QVBoxLayout()
self.cw_layout.setAlignment(QtCore.Qt.AlignTop)
self.cw.setLayout(self.cw_layout)
'''
Spectrum control window
'''
# make top right widget for spectrometer control
self.spec_control = QtGui.QGroupBox()
self.spec_control.setTitle('Spectrum Control')
self.cw_layout.addWidget(self.spec_control)
self.cw_layout.addSpacing(10)
# make and set layout to Spectrum Control QGroupBox
self.spec_control_layout = QtGui.QVBoxLayout()
self.spec_control_layout.setAlignment(QtCore.Qt.AlignTop)
# ###self.spec_control_layout.setSpacing(10)
self.spec_control.setLayout(self.spec_control_layout)
# ###make individual widgets to spec control grid layout
# create count time label
self.count_time_label = QtGui.QLabel('Integration time (ms)')
# create, configure count time input
self.count_time_input = QtGui.QLineEdit('100')
self.count_time_input.setValidator(QtGui.QIntValidator())
self.count_time_input.setMaxLength(4)
# crate count time shortcut buttons
self.count_less_button = QtGui.QPushButton('')
self.count_less_button.setIcon(QtGui.QApplication.style().standardIcon(
QtGui.QStyle.SP_ArrowLeft))
self.count_less_button.setMinimumWidth(70)
self.count_more_button = QtGui.QPushButton('')
self.count_more_button.setIcon(QtGui.QApplication.style().standardIcon(
QtGui.QStyle.SP_ArrowRight))
self.count_more_button.setMinimumWidth(70)
# create checkbox widget, create and configure spinbox widget
self.average_spec_cbox = QtGui.QCheckBox('Average n spectra')
self.average_spec_sbox = QtGui.QSpinBox()
self.average_spec_sbox.setMaximumWidth(50)
self.average_spec_sbox.setValue(1)
self.average_spec_sbox.setMinimum(1)
self.average_spec_sbox.setMaximum(10)
# connect signals
self.count_time_input.editingFinished.connect(self.update_count_time)
self.count_less_button.clicked.connect(
lambda: self.count_time_shortcut('down'))
self.count_more_button.clicked.connect(
lambda: self.count_time_shortcut('up'))
# add widgets to layout
self.spec_control_layout.addWidget(self.count_time_label)
self.count_time_layout = QtGui.QHBoxLayout()
self.count_time_layout.addWidget(self.count_less_button)
self.count_time_layout.addWidget(self.count_time_input)
self.count_time_layout.addWidget(self.count_more_button)
self.spec_control_layout.addLayout(self.count_time_layout)
self.spec_control_layout.addSpacing(10)
self.average_spec_layout = QtGui.QHBoxLayout()
self.average_spec_layout.setAlignment(QtCore.Qt.AlignLeft)
self.average_spec_layout.addWidget(self.average_spec_cbox)
self.average_spec_layout.addWidget(self.average_spec_sbox)
self.spec_control_layout.addLayout(self.average_spec_layout)
'''
Plot control window
'''
# make middle-right widget for plot control
self.plot_control = QtGui.QGroupBox()
self.plot_control.setTitle('Plot Control')
self.cw_layout.addWidget(self.plot_control)
self.cw_layout.addSpacing(10)
# make and set primary layout for Plot Control QGroupBox
self.plot_control_layout = QtGui.QVBoxLayout()
self.plot_control_layout.setAlignment(QtCore.Qt.AlignTop)
self.plot_control.setLayout(self.plot_control_layout)
# ### make and add individual widgets to plot control
# create show curves label and checkboxes
self.show_fits_label = QtGui.QLabel('Select fitted data to show')
self.show_curve_cbox = QtGui.QCheckBox('Curve')
self.show_r1r2_cbox = QtGui.QCheckBox('R1, R2')
self.show_bg_cbox = QtGui.QCheckBox('Background')
# create show reference lines labels, cboxes, data displays, data inputs
self.show_refs_label = QtGui.QLabel('Select markers to show')
self.markers_lambda_heading = QtGui.QLabel(u'\u03BB' + ' (nm)')
self.markers_pressure_heading = QtGui.QLabel('P (GPa)')
self.markers_delta_p_heading = QtGui.QLabel(u'\u0394' + 'P (GPa)')
self.show_fit_p_cbox = QtGui.QCheckBox('P(fit)')
self.show_reference_p_cbox = QtGui.QCheckBox('P(ref)')
self.show_ref_p_lambda = QtGui.QLabel('694.260')
self.show_ref_p_pressure = QtGui.QLabel('0.00')
self.show_ref_p_delta = QtGui.QLabel('0.00')
self.show_target_p_cbox = QtGui.QCheckBox('P(target)')
self.show_target_p_lambda = QtGui.QLineEdit('694.260')
self.show_target_p_pressure = QtGui.QLineEdit('0.00')
self.show_target_p_delta = QtGui.QLineEdit('0.00')
# create reference buttons
self.set_ref_p_label = QtGui.QLabel('Select data to define P(ref)')
self.set_ref_fit_btn = QtGui.QPushButton('Fit')
self.set_ref_target_btn = QtGui.QPushButton('Target')
# create zoom buttons
self.zoom_full_btn = QtGui.QPushButton('Full spectrum')
self.zoom_roi_btn = QtGui.QPushButton('Zoom ROI')
self.autoscale_cbox = QtGui.QCheckBox('Autoscale')
# connect plot control signals
self.show_curve_cbox.stateChanged.connect(self.show_curve_cbox_changed)
self.show_r1r2_cbox.stateChanged.connect(self.show_r1r2_cbox_changed)
self.show_bg_cbox.stateChanged.connect(self.show_bg_cbox_changed)
self.show_fit_p_cbox.stateChanged.connect(self.show_fit_p_cbox_changed)
self.show_reference_p_cbox.stateChanged.connect(
self.show_reference_p_cbox_changed)
self.show_target_p_cbox.stateChanged.connect(
self.show_target_p_cbox_changed)
self.show_target_p_lambda.editingFinished.connect(
self.show_target_p_lambda_changed)
self.show_target_p_pressure.editingFinished.connect(
self.show_target_p_pressure_changed)
self.show_target_p_delta.editingFinished.connect(
self.show_target_p_delta_changed)
self.set_ref_fit_btn.clicked.connect(self.set_ref_from_fit)
self.set_ref_target_btn.clicked.connect(self.set_ref_from_target)
self.zoom_full_btn.clicked.connect(self.zoom_full)
self.zoom_roi_btn.clicked.connect(self.zoom_roi)
# add widgets to layout
self.plot_control_layout.addWidget(self.show_fits_label)
self.reference_curves_layout = QtGui.QHBoxLayout()
self.reference_curves_layout.addWidget(self.show_curve_cbox)
# self.reference_curves_layout.addWidget(self.show_fit_p_cbox)
self.reference_curves_layout.addWidget(self.show_r1r2_cbox)
self.reference_curves_layout.addWidget(self.show_bg_cbox)
self.plot_control_layout.addLayout(self.reference_curves_layout)
self.plot_control_layout.addSpacing(10)
self.plot_control_layout.addWidget(self.show_refs_label)
self.reference_lines_layout = QtGui.QGridLayout()
# self.reference_lines_layout.addWidget(self.show_fitted_p_cbox, 0, 0)
self.reference_lines_layout.addWidget(self.markers_lambda_heading, 1,
1)
self.reference_lines_layout.addWidget(self.markers_pressure_heading, 1,
2)
self.reference_lines_layout.addWidget(self.markers_delta_p_heading, 1,
3)
self.reference_lines_layout.addWidget(self.show_fit_p_cbox, 1, 0)
self.reference_lines_layout.addWidget(self.show_reference_p_cbox, 2, 0)
self.reference_lines_layout.addWidget(self.show_ref_p_lambda, 2, 1)
self.reference_lines_layout.addWidget(self.show_ref_p_pressure, 2, 2)
self.reference_lines_layout.addWidget(self.show_ref_p_delta, 2, 3)
self.reference_lines_layout.addWidget(self.show_target_p_cbox, 3, 0)
self.reference_lines_layout.addWidget(self.show_target_p_lambda, 3, 1)
self.reference_lines_layout.addWidget(self.show_target_p_pressure, 3,
2)
self.reference_lines_layout.addWidget(self.show_target_p_delta, 3, 3)
self.plot_control_layout.addLayout(self.reference_lines_layout)
self.plot_control_layout.addSpacing(10)
self.plot_control_layout.addWidget(self.set_ref_p_label)
self.set_reference_layout = QtGui.QHBoxLayout()
self.set_reference_layout.addWidget(self.set_ref_fit_btn)
self.set_reference_layout.addWidget(self.set_ref_target_btn)
self.plot_control_layout.addLayout(self.set_reference_layout)
self.plot_control_layout.addSpacing(10)
self.zoom_buttons_layout = QtGui.QHBoxLayout()
self.zoom_buttons_layout.addWidget(self.zoom_full_btn)
self.zoom_buttons_layout.addWidget(self.zoom_roi_btn)
self.zoom_buttons_layout.addWidget(self.autoscale_cbox)
self.plot_control_layout.addLayout(self.zoom_buttons_layout)
'''
Pressure Control window
'''
# make bottom right widget for Pressure control
self.press_control = QtGui.QGroupBox()
self.press_control.setTitle('Pressure Control')
self.cw_layout.addWidget(self.press_control)
# make and add primary layout to Pressure Control QGroupBox
self.press_control_layout = QtGui.QGridLayout()
self.press_control_layout.setAlignment(QtCore.Qt.AlignTop)
self.press_control.setLayout(self.press_control_layout)
# ###make and add individual widgets to press control layout
# create pressure control widgets
self.press_calibration_label = QtGui.QLabel('Calibration')
self.press_calibration_display = QtGui.QLabel('Dorogokupets')
self.lambda_naught_295_label = QtGui.QLabel(u'\u03BB' +
'<sub>0</sub>' + '(295)' +
' (nm)')
self.lambda_naught_295_display = QtGui.QLabel('694.260')
self.lambda_naught_t_label = QtGui.QLabel(u'\u03BB' + '<sub>0</sub>' +
'(T)' + ' (nm)')
self.lambda_naught_t_display = QtGui.QLabel('694.260')
self.lambda_r1_label = QtGui.QLabel(u'\u03BB' + '<sub>R1</sub>' +
' (nm)')
self.lambda_r1_display = QtGui.QLabel('694.260')
self.threshold_label = QtGui.QLabel('Fit threshold')
self.threshold_min_input = QtGui.QSpinBox()
self.threshold_min_input.setRange(0, 16000)
self.threshold_min_input.setValue(200)
self.threshold_min_input.setSingleStep(100)
# self.threshold_min_input.setMaximumWidth(50)
self.temperature_label = QtGui.QLabel('T(K)')
self.temperature_label.setStyleSheet('QLabel {font: bold 18px}')
self.temperature_input = QtGui.QSpinBox()
self.temperature_input.setStyleSheet('QSpinBox {font: bold 24px}')
self.temperature_input.setRange(4, 600)
self.temperature_input.setValue(295)
self.temperature_track_cbox = QtGui.QCheckBox('Track')
self.temperature_track_cbox.setEnabled(False)
self.pressure_fit_label = QtGui.QLabel('P(GPa)')
self.pressure_fit_label.setStyleSheet('QLabel {font: bold 18px}')
self.pressure_fit_display = QtGui.QLabel('0.00')
self.pressure_fit_display.setMinimumWidth(100)
self.pressure_fit_display.setStyleSheet('QLabel {font: bold 36px}')
self.fit_warning_display = QtGui.QLabel('')
# connect pressure control signals
self.temperature_input.valueChanged.connect(self.calculate_lambda_0_t)
# add pressure control widgets to pressure control layout
self.press_control_layout.addWidget(self.press_calibration_label, 0, 0)
self.press_control_layout.addWidget(self.press_calibration_display, 0,
1)
self.press_control_layout.addWidget(self.lambda_naught_295_label, 1, 0)
self.press_control_layout.addWidget(self.lambda_naught_295_display, 1,
1)
self.press_control_layout.addWidget(self.lambda_naught_t_label, 2, 0)
self.press_control_layout.addWidget(self.lambda_naught_t_display, 2, 1)
self.press_control_layout.addWidget(self.lambda_r1_label, 3, 0)
self.press_control_layout.addWidget(self.lambda_r1_display, 3, 1)
self.press_control_layout.addWidget(self.threshold_label, 4, 0)
self.press_control_layout.addWidget(self.threshold_min_input, 4, 1)
self.press_control_layout.addWidget(self.temperature_label, 5, 0)
self.press_control_layout.addWidget(self.temperature_input, 5, 1)
self.press_control_layout.addWidget(self.temperature_track_cbox, 5, 2)
self.press_control_layout.addWidget(self.pressure_fit_label, 6, 0)
self.press_control_layout.addWidget(self.pressure_fit_display, 6, 1)
self.press_control_layout.addWidget(self.fit_warning_display, 6, 2)
'''
Options window
'''
self.ow = QtGui.QTabWidget()
# ###PRESSURE CALIBRATION###
# make pressure calibration tab
self.p_calibration_tab = QtGui.QWidget()
self.p_calibration_tab_layout = QtGui.QVBoxLayout()
self.p_calibration_tab.setLayout(self.p_calibration_tab_layout)
# make Group Box for lambda naught
self.set_lambda_naught_gb = QtGui.QGroupBox()
self.set_lambda_naught_gb.setTitle('Reference wavelength')
self.p_calibration_tab_layout.addWidget(self.set_lambda_naught_gb)
self.set_lambda_naught_gb_layout = QtGui.QVBoxLayout()
self.set_lambda_naught_gb.setLayout(self.set_lambda_naught_gb_layout)
# make widgets for lambda naught
self.manual_lambda_naught_label = QtGui.QLabel('Enter user-defined ' +
u'\u03BB' +
'<sub>0</sub>' +
'(295) here')
self.manual_lambda_naught_input = QtGui.QLineEdit('694.260')
self.auto_lambda_naught_btn = QtGui.QPushButton('Get ' + u'\u03BB' +
'(295) from fit')
# connect signals
self.manual_lambda_naught_input.returnPressed.connect(
lambda: self.set_lambda_naught('manual'))
self.auto_lambda_naught_btn.clicked.connect(
lambda: self.set_lambda_naught('auto'))
# add lambda naught widgets to set lambda naught gb layout
self.manual_lambda_naught_layout = QtGui.QHBoxLayout()
self.manual_lambda_naught_layout.addWidget(
self.manual_lambda_naught_label)
self.manual_lambda_naught_layout.addWidget(
self.manual_lambda_naught_input)
self.set_lambda_naught_gb_layout.addLayout(
self.manual_lambda_naught_layout)
self.set_lambda_naught_gb_layout.addWidget(self.auto_lambda_naught_btn)
# make Group Box for Calibration selection
self.set_p_calibration_gb = QtGui.QGroupBox()
self.set_p_calibration_gb.setTitle('Pressure Calibration')
self.p_calibration_tab_layout.addWidget(self.set_p_calibration_gb)
self.set_p_calibration_gb_layout = QtGui.QVBoxLayout()
self.set_p_calibration_gb.setLayout(self.set_p_calibration_gb_layout)
# make widgets for calibration selection
self.choose_calibration_drop = QtGui.QComboBox()
self.choose_calibration_drop.addItems(
['Dorogokupets', 'Mao', 'Dewaele'])
self.p_calibration_alpha_label = QtGui.QLabel(u'\u03B1')
self.p_calibration_alpha_display = QtGui.QLabel('1885')
self.p_calibration_beta_label = QtGui.QLabel(u'\u03B2')
self.p_calibration_beta_display = QtGui.QLabel('11.0')
self.calculation_label = QtGui.QLabel(u'\u03B1' + '/' + u'\u03B2')
# connect signal
self.choose_calibration_drop.currentIndexChanged.connect(
self.set_new_p_calibration)
# add widgets to layout
self.set_p_calibration_gb_layout.addWidget(
self.choose_calibration_drop)
self.p_cal_constants_layout = QtGui.QHBoxLayout()
self.p_cal_constants_layout.addWidget(self.p_calibration_alpha_label)
self.p_cal_constants_layout.addWidget(self.p_calibration_alpha_display)
self.p_cal_constants_layout.addWidget(self.p_calibration_beta_label)
self.p_cal_constants_layout.addWidget(self.p_calibration_beta_display)
self.set_p_calibration_gb_layout.addLayout(self.p_cal_constants_layout)
self.set_p_calibration_gb_layout.addWidget(self.calculation_label)
self.ow.addTab(self.p_calibration_tab, 'P Calibration')
# self.ow.show()
# from Clemens' Dioptas
# file = open(os.path.join("stylesheet.qss"))
# stylesheet = file.read()
# self.setStyleSheet(stylesheet)
# file.close()
self.show()
def update_traceplot(self):
self._tracesWidget.clear()
for data in self._scope_logic.split_data:
self._pw.addItem(pg.PlotDataItem(pen=pg.mkPen(data), symbol=None))
def on_activate(self):
"""
Definition and initialisation of the GUI plus staring the measurement.
"""
self._scope_logic = self.get_connector('scopelogic')
self._mw = ScopeWindow()
# Configuration of the trigger source comboWidget
self._mw.trigger_source_comboBox.addItem('Channel 1')
self._mw.trigger_source_comboBox.addItem('Channel 2')
self._mw.trigger_source_comboBox.addItem('Channel 3')
self._mw.trigger_source_comboBox.addItem('Channel 4')
# Configuration of the channel 1 vertical scale comboWidget
self._mw.channel1_vscale_comboBox.addItem('1e-3')
self._mw.channel1_vscale_comboBox.addItem('2e-3')
self._mw.channel1_vscale_comboBox.addItem('5e-3')
self._mw.channel1_vscale_comboBox.addItem('1e-2')
self._mw.channel1_vscale_comboBox.addItem('2e-2')
self._mw.channel1_vscale_comboBox.addItem('5e-2')
self._mw.channel1_vscale_comboBox.addItem('1e-1')
self._mw.channel1_vscale_comboBox.addItem('2e-1')
self._mw.channel1_vscale_comboBox.addItem('5e-1')
self._mw.channel1_vscale_comboBox.addItem('1')
self._mw.channel1_vscale_comboBox.addItem('2')
self._mw.channel1_vscale_comboBox.addItem('5')
# Configuration of the channel 2 vertical scale comboWidget
self._mw.channel2_vscale_comboBox.addItem('1e-3')
self._mw.channel2_vscale_comboBox.addItem('2e-3')
self._mw.channel2_vscale_comboBox.addItem('5e-3')
self._mw.channel2_vscale_comboBox.addItem('1e-2')
self._mw.channel2_vscale_comboBox.addItem('2e-2')
self._mw.channel2_vscale_comboBox.addItem('5e-2')
self._mw.channel2_vscale_comboBox.addItem('1e-1')
self._mw.channel2_vscale_comboBox.addItem('2e-1')
self._mw.channel2_vscale_comboBox.addItem('5e-1')
self._mw.channel2_vscale_comboBox.addItem('1')
self._mw.channel2_vscale_comboBox.addItem('2')
self._mw.channel2_vscale_comboBox.addItem('5')
# Configuration of the channel 3 vertical scale comboWidget
self._mw.channel3_vscale_comboBox.addItem('1e-3')
self._mw.channel3_vscale_comboBox.addItem('2e-3')
self._mw.channel3_vscale_comboBox.addItem('5e-3')
self._mw.channel3_vscale_comboBox.addItem('1e-2')
self._mw.channel3_vscale_comboBox.addItem('2e-2')
self._mw.channel3_vscale_comboBox.addItem('5e-2')
self._mw.channel3_vscale_comboBox.addItem('1e-1')
self._mw.channel3_vscale_comboBox.addItem('2e-1')
self._mw.channel3_vscale_comboBox.addItem('5e-1')
self._mw.channel3_vscale_comboBox.addItem('1')
self._mw.channel3_vscale_comboBox.addItem('2')
self._mw.channel3_vscale_comboBox.addItem('5')
# Configuration of the channel 4 vertical scale comboWidget
self._mw.channel4_vscale_comboBox.addItem('1e-3')
self._mw.channel4_vscale_comboBox.addItem('2e-3')
self._mw.channel4_vscale_comboBox.addItem('5e-3')
self._mw.channel4_vscale_comboBox.addItem('1e-2')
self._mw.channel4_vscale_comboBox.addItem('2e-2')
self._mw.channel4_vscale_comboBox.addItem('5e-2')
self._mw.channel4_vscale_comboBox.addItem('1e-1')
self._mw.channel4_vscale_comboBox.addItem('2e-1')
self._mw.channel4_vscale_comboBox.addItem('5e-1')
self._mw.channel4_vscale_comboBox.addItem('1')
self._mw.channel4_vscale_comboBox.addItem('2')
self._mw.channel4_vscale_comboBox.addItem('5')
# Configuration of the channels RadioButton
self._mw.channel1_display_radioButton.setChecked(True)
self._mw.channel2_display_radioButton.setChecked(True)
self._mw.channel3_display_radioButton.setChecked(True)
self._mw.channel4_display_radioButton.setChecked(True)
self._mw.channel1_DC_radioButton.setChecked(True)
self._mw.channel2_DC_radioButton.setChecked(True)
self._mw.channel3_DC_radioButton.setChecked(True)
self._mw.channel4_DC_radioButton.setChecked(True)
self._mw.channel1_impedance_input_radioButton.setChecked(True)
self._mw.channel2_impedance_input_radioButton.setChecked(True)
self._mw.channel3_impedance_input_radioButton.setChecked(True)
self._mw.channel4_impedance_input_radioButton.setChecked(True)
# Connections
self._mw.run_pushButton.clicked.connect(self._scope_logic.run_continuous)
self._mw.stop_pushButton.clicked.connect(self._scope_logic.stop_aq)
self._mw.singlerun_pushButton.clicked.connect(self._scope_logic.single_aq)
self._mw.getdata_pushButton.clicked.connect(self._scope_logic.get_data)
self._mw.savedata_pushButton.clicked.connect(self._scope_logic.save_data)
self._mw.autoscale_pushButton.clicked.connect(self._scope_logic.auto_scale)
self._mw.aqcuire_mode_normal_radioButton.clicked.connect(self._scope_logic.acquire_mode_normal)
self._mw.aqcuire_mode_highres_radioButton.clicked.connect(self._scope_logic.aqcuire_mode_highres)
self._mw.aqcuire_mode_average_radioButton.clicked.connect(self._scope_logic.aqcuire_mode_average)
self._mw.channel1_vscale_comboBox.currentIndexChanged.connect(self.change_channel1_vscale)
self._mw.channel2_vscale_comboBox.currentIndexChanged.connect(self.change_channel2_vscale)
self._mw.channel3_vscale_comboBox.currentIndexChanged.connect(self.change_channel3_vscale)
self._mw.channel4_vscale_comboBox.currentIndexChanged.connect(self.change_channel4_vscale)
self._mw.channel1_DC_radioButton.clicked.connect(self._scope_logic.set_channel1_DC_couling)
self._mw.channel1_AC_radioButton.clicked.connect(self._scope_logic.set_channel1_AC_couling)
self._mw.channel2_DC_radioButton.clicked.connect(self._scope_logic.set_channel2_DC_couling)
self._mw.channel2_AC_radioButton.clicked.connect(self._scope_logic.set_channel2_AC_couling)
self._mw.channel3_DC_radioButton.clicked.connect(self._scope_logic.set_channel3_DC_couling)
self._mw.channel3_AC_radioButton.clicked.connect(self._scope_logic.set_channel3_AC_couling)
self._mw.channel4_DC_radioButton.clicked.connect(self._scope_logic.set_channel4_DC_couling)
self._mw.channel4_AC_radioButton.clicked.connect(self._scope_logic.set_channel4_AC_couling)
self._mw.channel1_impedance_input_radioButton.clicked.connect(self.channel1_impedance_input)
self._mw.channel2_impedance_input_radioButton.clicked.connect(self.channel2_impedance_input)
self._mw.channel3_impedance_input_radioButton.clicked.connect(self.channel3_impedance_input)
self._mw.channel4_impedance_input_radioButton.clicked.connect(self.channel4_impedance_input)
self._mw.aqcuire_mode_peak_radioButton.clicked.connect(self._scope_logic.aqcuire_mode_peak)
self._mw.trigger_EDGE_radioButton.clicked.connect(self._scope_logic.trigger_mode_EDGE)
self._mw.channel1_display_radioButton.clicked.connect(self.channel1_state_chage)
self._mw.channel2_display_radioButton.clicked.connect(self.channel2_state_chage)
self._mw.channel3_display_radioButton.clicked.connect(self.channel3_state_chage)
self._mw.channel4_display_radioButton.clicked.connect(self.channel4_state_chage)
# Plot labels.
self._pw = self._mw.scope_PlotWidget
self._pw.setLabel('left', 'Voltage', units='V')
self._pw.setLabel('bottom', 'Time', units='s')
self.curves = []
self.colors = [palette.c1, palette.c5, palette.c6, palette.c4]
for i, ch in enumerate(self._scope_logic.get_channels()):
# Create an empty plot curve to be filled later, set its pen
self.curves.append(
pg.PlotDataItem(pen=pg.mkPen(self.colors[i]), symbol=None))
self._pw.addItem(self.curves[-1])
# setting the x axis length correctly
self._pw.setXRange(
0,
self._scope_logic.get_timescale()[-1]
)
self._scope_logic.sigDataUpdated.connect(self.updateData)
for ch in self._scope_logic.get_channels():
self._scope_logic.change_channel_state(channel=ch, state='ON')
x = np.arange(1000, dtype=float)
y = np.random.normal(size=1000)
y += 5 * np.sin(x / 100)
win = pg.GraphicsWindow()
win.setWindowTitle('pyqtgraph example: ____')
win.resize(1000, 800)
win.ci.setBorder((50, 50, 100))
sub1 = win.addLayout()
sub1.addLabel(
"<b>Standard mouse interaction:</b><br>left-drag to pan, right-drag to zoom."
)
sub1.nextRow()
v1 = sub1.addViewBox()
l1 = pg.PlotDataItem(y)
v1.addItem(l1)
sub2 = win.addLayout()
sub2.addLabel(
"<b>One-button mouse interaction:</b><br>left-drag zoom to box, wheel to zoom out."
)
sub2.nextRow()
v2 = sub2.addViewBox()
v2.setMouseMode(v2.RectMode)
l2 = pg.PlotDataItem(y)
v2.addItem(l2)
win.nextRow()
sub3 = win.addLayout()
def main():
global plotItem, viewBox, pw
(xMin, xMax, xDelta) = (-5, 5, 0.1)
x = np.arange(xMin, xMax, xDelta)
mu = 0.
sigma = 1.
y = 1 / (sigma * np.sqrt(2 * np.pi)) * np.exp(-(x - mu)**2 /
(2 * sigma**2))
mu = 1.0
sigma = 0.7
y2 = 1 / (sigma * np.sqrt(2 * np.pi)) * np.exp(-(x - mu)**2 /
(2 * sigma**2))
pg.setConfigOption('background', 'w')
pg.setConfigOption('foreground', 'k')
app = pg.mkQApp()
win = pg.GraphicsWindow(title="Overlay 2 plots")
win.clear()
win.addLabel("Second plot has log scale", row=1, col=1, colspan=10)
win.addLabel("A comment", row=2, col=1, colspan=10)
plotItem = win.addPlot(row=3, col=1)
plotItem.setLabels(left='axis 1')
plotItem.showAxis('top')
plotItem.showAxis('right')
plotItem.getAxis('right').style['showValues'] = False
plotItem.getAxis('right').setLabel('axis2', color='#00ffff')
plotItem.setLogMode(x=False, y=False)
plotDataItem = plotItem.plot()
plotDataItem.setData(x, y)
## create a new ViewBox, link the right axis to its coordinate system
viewBox = pg.ViewBox()
plotItem.scene().addItem(viewBox)
#
# Link this axis to a ViewBox, causing its displayed range to
# match the visible range of the view.
#
plotItem.getAxis('right').linkToView(viewBox)
#
# link the views x-axis to another view
#
viewBox.setXLink(plotItem)
vbDataItem = pg.PlotDataItem(x, y2, pen='#00ffff')
vbDataItem.setLogMode(False, True)
viewBox.addItem(vbDataItem)
viewBox.enableAutoRange(x=True, y=True)
#viewBox.setXRange( -5, 5)
#viewBox.setYRange( -10, 1)
updateViews()
plotItem.vb.sigResized.connect(updateViews)
app.processEvents()
time.sleep(0.1)
app.processEvents()
print "Prtc ",
sys.stdin.readline()
# a standard pyqtgraph plot_item
w = pg.PlotWidget()
#add legend to the plot, for that we have to give a name to plot items
w.addLegend()
# add a Y2 axis
from taurus.qt.qtgui.tpg import Y2ViewBox
y2ViewBox = Y2ViewBox()
y2ViewBox.attachToPlotItem(w.getPlotItem())
# adding a regular data item (non-taurus)
c1 = pg.PlotDataItem(
name='st plot',
pen=dict(color='y', width=3, style=QtCore.Qt.DashLine),
fillLevel=0.3,
fillBrush='g'
)
c1.setData(numpy.arange(300)/300.)
w.addItem(c1)
# adding a taurus data item
c2 = TaurusPlotDataItem(name='st2 plot', pen='r', symbol='o',
symbolSize=10)
c2.setModel('sys/tg_test/1/wave')
w.addItem(c2)
# attach tool to plot item of the PlotWidget
tool = CurvesPropertiesTool()
"""
def configure_plot(self):
"""Configure data plots."""
self.pw_plot.clear()
self.pw_plot.setLabel('bottom', self._bottom_axis_label)
self.pw_plot.showGrid(x=True, y=True)
# Configure left axis 1
self.pw_plot.setLabel('left', self._left_axis_1_label)
colors = self._left_axis_1_data_colors
data_labels = self._left_axis_1_data_labels
if len(colors) != len(data_labels):
colors = [(0, 0, 255)] * len(data_labels)
for i, label in enumerate(data_labels):
pen = colors[i]
graph = self.pw_plot.plotItem.plot(_np.array([]),
_np.array([]),
pen=pen,
symbol='o',
symbolPen=pen,
symbolSize=3,
symbolBrush=pen)
self._graphs[label] = graph
# Configure right axis 1
data_labels = self._right_axis_1_data_labels
colors = self._right_axis_1_data_colors
if len(colors) != len(data_labels):
colors = [(0, 0, 255)] * len(data_labels)
if len(data_labels) != 0:
self.right_axis_1 = _utils.plot_item_add_first_right_axis(
self.pw_plot.plotItem)
self.right_axis_1.setLabel(self._right_axis_1_label)
self.right_axis_1.setStyle(showValues=True)
for i, label in enumerate(data_labels):
pen = colors[i]
graph = _pyqtgraph.PlotDataItem(_np.array([]),
_np.array([]),
pen=pen,
symbol='o',
symbolPen=pen,
symbolSize=3,
symbolBrush=pen)
self.right_axis_1.linkedView().addItem(graph)
self._graphs[label] = graph
# Configure right axis 2
data_labels = self._right_axis_2_data_labels
colors = self._right_axis_2_data_colors
if len(colors) != len(data_labels):
colors = [(0, 0, 255)] * len(data_labels)
if len(data_labels) != 0:
self.right_axis_2 = _utils.plot_item_add_second_right_axis(
self.pw_plot.plotItem)
self.right_axis_2.setLabel(self._right_axis_2_label)
self.right_axis_2.setStyle(showValues=True)
for i, label in enumerate(data_labels):
pen = colors[i]
graph = _pyqtgraph.PlotDataItem(_np.array([]),
_np.array([]),
pen=pen,
symbol='o',
symbolPen=pen,
symbolSize=3,
symbolBrush=pen)
self.right_axis_2.linkedView().addItem(graph)
self._graphs[label] = graph
# Update legend
self.update_legend_items()
from taurus.qt.qtgui.application import TaurusApplication
# from taurus.qt.qtgui.tpg import TaurusPlotDataItem
from taurus.external.qt import Qt
from taurus.qt.qtgui.tpg import TaurusModelChooserTool
app = TaurusApplication()
# a standard pyqtgraph plot_item
w = pg.PlotWidget()
# add legend to the plot, for that we have to give a name to plot items
w.addLegend()
# adding a regular data item (non-taurus)
c1 = pg.PlotDataItem(name="st plot", pen="b", fillLevel=0, brush="c")
c1.setData(numpy.arange(300) / 300.0)
w.addItem(c1)
pen = pg.mkPen(color="r", style=4)
brush = pg.mkBrush(color="b")
brush.setStyle(3)
# adding a taurus data item
# c2 = TaurusPlotDataItem(name='st2 plot', pen='r', symbol='o')
c2 = TaurusPlotDataItem(pen=pen, name="foo")
# c2 = TaurusPlotDataItem()
# c2.loadConfigFile('tmp/conf.cfg')
c2.setModel('eval:Quantity(rand(256),"m")')
def __init__(self, signals, with_dots, step_mode, *args, **kwargs):
super(Plot, self).__init__(*args, **kwargs)
self.xrange_changed.connect(self.xrange_changed_handle)
self.with_dots = with_dots
if self.with_dots:
self.curvetype = pg.PlotDataItem
else:
self.curvetype = pg.PlotCurveItem
self.step_mode = step_mode
self.info = None
self.standalone = kwargs.get("standalone", False)
self.singleton = None
self.region = None
self.cursor1 = None
self.cursor2 = None
self.signals = signals
self.disabled_keys = set()
for sig in self.signals:
if sig.samples.dtype.kind == "f":
sig.stepmode = False
sig.format = "{:.6f}"
sig.texts = None
else:
if self.step_mode:
sig.stepmode = True
else:
sig.stepmode = False
sig.format = "phys"
if sig.samples.dtype.kind in "SV":
sig.texts = sig.original_texts = sig.samples
sig.samples = np.zeros(len(sig.samples))
else:
sig.texts = None
sig.enable = True
sig.original_samples = sig.samples
sig.original_timestamps = sig.timestamps
sig._stats = {
"range": (0, -1),
"range_stats": {},
"visible": (0, -1),
"visible_stats": {},
}
if self.signals:
self.all_timebase = self.timebase = reduce(
np.union1d, (sig.timestamps for sig in self.signals)
)
else:
self.all_timebase = self.timebase = None
self.showGrid(x=True, y=True)
self.plot_item = self.plotItem
self.plot_item.hideAxis("left")
self.layout = self.plot_item.layout
self.scene_ = self.plot_item.scene()
self.viewbox = self.plot_item.vb
self.viewbox.sigResized.connect(self.update_views)
self.viewbox.sigXRangeChanged.connect(self.xrange_changed.emit)
self.viewbox.enableAutoRange(axis=pg.ViewBox.XYAxes, enable=True)
self.curve = self.curvetype([], [])
axis = self.layout.itemAt(2, 0)
axis.setParent(None)
self.axis = FormatedAxis("left")
self.layout.removeItem(axis)
self.layout.addItem(self.axis, 2, 0)
self.axis.linkToView(axis.linkedView())
self.plot_item.axes["left"]["item"] = self.axis
self.plot_item.hideAxis("left")
self.viewbox.addItem(self.curve)
self.cursor_hint = pg.PlotDataItem(
[],
[],
pen="#000000",
symbolBrush="#000000",
symbolPen="w",
symbol="s",
symbolSize=8,
)
self.viewbox.addItem(self.cursor_hint)
self.view_boxes = []
self.curves = []
self.axes = []
for i, sig in enumerate(self.signals):
color = COLORS[i % 10]
sig.color = color
if len(sig.samples):
sig.min = np.amin(sig.samples)
sig.max = np.amax(sig.samples)
sig.empty = False
else:
sig.empty = True
axis = FormatedAxis("right")
axis.setPen(color)
if sig.conversion and "text_0" in sig.conversion:
axis.text_conversion = sig.conversion
view_box = pg.ViewBox()
view_box.enableAutoRange(axis=pg.ViewBox.XYAxes, enable=True)
axis.linkToView(view_box)
axis.setLabel(sig.name, sig.unit, color=color)
self.layout.addItem(axis, 2, i + 2)
self.scene_.addItem(view_box)
if sig.stepmode:
if len(sig.timestamps):
to_append = sig.timestamps[-1]
else:
to_append = 0
t = np.append(sig.timestamps, to_append)
else:
t = sig.timestamps
curve = self.curvetype(
t,
sig.samples,
pen=color,
symbolBrush=color,
symbolPen=color,
symbol="o",
symbolSize=4,
stepMode=sig.stepmode,
# connect='pairs'
)
# curve.setDownsampling(ds=100, auto=True, method='peak')
view_box.addItem(curve)
view_box.setXLink(self.viewbox)
view_box.enableAutoRange(axis=pg.ViewBox.XYAxes, enable=True)
view_box.sigResized.connect(self.update_views)
self.view_boxes.append(view_box)
self.curves.append(curve)
self.axes.append(axis)
axis.hide()
if len(signals) == 1:
self.setSignalEnable(0, 1)
self.update_views()
self.keyPressEvent(QKeyEvent(QEvent.KeyPress, Qt.Key_H, Qt.NoModifier))
self.resizeEvent = self._resizeEvent
def plot_raw_data(self,data):
bins=np.linspace(1,len(data),len(data))
self._mw.raw_data_PlotWidget.clear()
self._mw.raw_data_PlotWidget.addItem(pg.PlotDataItem(bins,data))
return
def cobweb_plot(plt,
idx=-1,
model=logistic_map,
r=0,
cobweb_x=0.5,
function_n=1000,
cobweb_n=100,
num_discard=0,
title='',
filename='',
show=True,
save=True,
start=0,
end=1,
figsize=(6, 6),
diagonal_linewidth=1.35,
cobweb_linewidth=1,
function_linewidth=1.5,
folder='images',
dpi=300,
bbox_inches='tight',
pad=0.1):
plt.clear()
initial_pop = float(cobweb_x)
stride_idx = (idx - 1) * 3
func_x_vals, func_y_vals = get_function_points(model=model,
r=r,
n=function_n,
start=start,
end=end)
cobweb_x_vals, cobweb_y_vals = get_cobweb_points(model=model,
r=r,
x=cobweb_x,
n=cobweb_n)
cobweb_x_vals = cobweb_x_vals[:stride_idx]
cobweb_y_vals = cobweb_y_vals[:stride_idx]
plt.setTitle(f"Cobweb Plot")
diagonal_line = plt.plot((0, 1), (0, 1))
diagonal_line.setPen(width=diagonal_linewidth)
function_line = pg.PlotDataItem(x=func_x_vals, y=func_y_vals)
function_line.setPen(color=colors['lomid'], width=3.0)
function_line = plt.addItem(function_line)
sizes = 1 / np.linspace(.1, 1, len(cobweb_x_vals))
sizes = np.maximum(5, sizes)
cobweb_line = plt.plot(cobweb_x_vals,
cobweb_y_vals,
symbol='o',
symbolSize=sizes)
cobweb_line.setPen(color=colors['lomid'], width=cobweb_linewidth)
cobweb_line.setSymbolPen(color=(1, 1, 1, 0), width=0.0)
cobweb_line.setSymbolBrush(color=colors['himid'])
xaxis = plt.getAxis("bottom")
#xaxis.setTickSpacing(4,4)
xaxis.tickFont = numfont
xaxis.setStyle(tickTextOffset=20)
yaxis = plt.getAxis("left")
#yaxis.setTickSpacing(.2, .2)
yaxis.resizeEvent = types.MethodType(custom_axis_item_resizeEvent, yaxis)
yaxis.tickFont = numfont
yaxis.setStyle(tickTextOffset=10, tickLength=10)
xaxis.label.setFont(txtfont)
yaxis.label.setFont(txtfont)
plt.titleLabel.item.setFont(txtfont)
return np.concatenate(([
initial_pop,
], np.array(cobweb_y_vals[1::3])))
def addToKline(self, line):
curveOI1 = pg.PlotDataItem()
curveOI1.setData(y=line)
self.plotItem.addItem(curveOI1)
return curveOI1
# use a standard Plot
w = pg.PlotWidget()
# add the XAutoPanTool
autopan = XAutoPanTool()
autopan.attachToPlotItem(w.getPlotItem())
# configure plot window
w.setWindowIcon(QtGui.QIcon("icon-mongol.jpg")) # no icon??
w.showAxis('right') # set attributes of chart
w.hideAxis('left')
w.showGrid(x=True, y=True, alpha=1.0)
# w.addLine(y=10)
# add a curve that appends a new point every 500ms
c = pg.PlotDataItem(symbol='x')
idx = 40
max_points = 10000
xdata = np.arange(max_points)
ydata = np.random.rand(max_points)
c.setData(xdata[:idx], ydata[:idx])
def addPoint():
global idx
idx += 1
c.setData(xdata[:idx], ydata[:idx])
print(autopan.isChecked(), idx)
t = QtCore.QTimer()
t.timeout.connect(addPoint)
t.start(1000)
def on_activate(self):
""" Definition and initialisation of the GUI.
"""
self._counting_logic = self.counterlogic1()
#####################
# Configuring the dock widgets
# Use the inherited class 'CounterMainWindow' to create the GUI window
self._mw = CounterMainWindow()
# Setup dock widgets
self._mw.centralwidget.hide()
self._mw.trace_selection_DockWidget.hide()
self._mw.setDockNestingEnabled(True)
# Plot labels.
self._pw = self._mw.counter_trace_PlotWidget
self._pw.setLabel('left', 'Fluorescence', units='counts/s')
self._pw.setLabel('bottom', 'Time', units='s')
self.curves = []
for i, ch in enumerate(self._counting_logic.get_channels()):
if i % 2 == 0:
# Create an empty plot curve to be filled later, set its pen
self.curves.append(
pg.PlotDataItem(pen=pg.mkPen(palette.c1), symbol=None))
self._pw.addItem(self.curves[-1])
self.curves.append(
pg.PlotDataItem(pen=pg.mkPen(palette.c2, width=3),
symbol=None))
self._pw.addItem(self.curves[-1])
else:
self.curves.append(
pg.PlotDataItem(pen=pg.mkPen(palette.c3,
style=QtCore.Qt.DotLine),
symbol='s',
symbolPen=palette.c3,
symbolBrush=palette.c3,
symbolSize=5))
self._pw.addItem(self.curves[-1])
self.curves.append(
pg.PlotDataItem(pen=pg.mkPen(palette.c4, width=3),
symbol=None))
self._pw.addItem(self.curves[-1])
# setting the x axis length correctly
self._pw.setXRange(
0,
self._counting_logic.get_count_length() /
self._counting_logic.get_count_frequency())
#####################
# Setting default parameters
self._mw.count_length_SpinBox.setValue(
self._counting_logic.get_count_length())
self._mw.count_freq_SpinBox.setValue(
self._counting_logic.get_count_frequency())
self._mw.oversampling_SpinBox.setValue(
self._counting_logic.get_counting_samples())
self._display_trace = 1
self._trace_selection = [True, True, True, True]
#####################
# Connecting user interactions
self._mw.start_counter_Action.triggered.connect(self.start_clicked)
self._mw.record_counts_Action.triggered.connect(self.save_clicked)
self._mw.count_length_SpinBox.valueChanged.connect(
self.count_length_changed)
self._mw.count_freq_SpinBox.valueChanged.connect(
self.count_frequency_changed)
self._mw.oversampling_SpinBox.valueChanged.connect(
self.oversampling_changed)
if len(self.curves) >= 2:
self._mw.trace_1_checkbox.setChecked(True)
else:
self._mw.trace_1_checkbox.setEnabled(False)
self._mw.trace_1_radiobutton.setEnabled(False)
if len(self.curves) >= 4:
self._mw.trace_2_checkbox.setChecked(True)
else:
self._mw.trace_2_checkbox.setEnabled(False)
self._mw.trace_2_radiobutton.setEnabled(False)
if len(self.curves) >= 6:
self._mw.trace_3_checkbox.setChecked(True)
else:
self._mw.trace_3_checkbox.setEnabled(False)
self._mw.trace_3_radiobutton.setEnabled(False)
if len(self.curves) >= 8:
self._mw.trace_4_checkbox.setChecked(True)
else:
self._mw.trace_4_checkbox.setEnabled(False)
self._mw.trace_4_radiobutton.setEnabled(False)
self._mw.trace_1_checkbox.stateChanged.connect(
self.trace_selection_changed)
self._mw.trace_2_checkbox.stateChanged.connect(
self.trace_selection_changed)
self._mw.trace_3_checkbox.stateChanged.connect(
self.trace_selection_changed)
self._mw.trace_4_checkbox.stateChanged.connect(
self.trace_selection_changed)
self._mw.trace_1_radiobutton.setChecked(True)
self._mw.trace_1_radiobutton.released.connect(
self.trace_display_changed)
self._mw.trace_2_radiobutton.released.connect(
self.trace_display_changed)
self._mw.trace_3_radiobutton.released.connect(
self.trace_display_changed)
self._mw.trace_4_radiobutton.released.connect(
self.trace_display_changed)
# Connect the default view action
self._mw.restore_default_view_Action.triggered.connect(
self.restore_default_view)
#####################
# starting the physical measurement
self.sigStartCounter.connect(self._counting_logic.startCount)
self.sigStopCounter.connect(self._counting_logic.stopCount)
##################
# Handling signals from the logic
self._counting_logic.sigCounterUpdated.connect(self.updateData)
# ToDo:
# self._counting_logic.sigCountContinuousNext.connect()
# self._counting_logic.sigCountGatedNext.connect()
# self._counting_logic.sigCountFiniteGatedNext.connect()
# self._counting_logic.sigGatedCounterFinished.connect()
# self._counting_logic.sigGatedCounterContinue.connect()
self._counting_logic.sigCountingSamplesChanged.connect(
self.update_oversampling_SpinBox)
self._counting_logic.sigCountLengthChanged.connect(
self.update_count_length_SpinBox)
self._counting_logic.sigCountFrequencyChanged.connect(
self.update_count_freq_SpinBox)
self._counting_logic.sigSavingStatusChanged.connect(
self.update_saving_Action)
self._counting_logic.sigCountingModeChanged.connect(
self.update_counting_mode_ComboBox)
self._counting_logic.sigCountStatusChanged.connect(
self.update_count_status_Action)
# Throw a deprecation warning pop-up to encourage users to switch to
# TimeSeriesGui/TimeSeriesReaderLogic
# dialog = QtWidgets.QDialog(self._mw)
# dialog.setWindowTitle('Deprecation warning')
# label1 = QtWidgets.QLabel('Deprecation Warning:')
# label1.setAlignment(QtCore.Qt.AlignHCenter | QtCore.Qt.AlignVCenter)
# font = label1.font()
# font.setPointSize(12)
# label1.setFont(font)
# label2 = QtWidgets.QLabel('The modules CounterGui, CounterLogic and '
# 'NationalInstrumentsXSeries are deprecated for time series '
# 'streaming (also called "slow counting") and will be removed in '
# 'the future.\nPlease consider switching to TimeSeriesGui, '
# 'TimeSeriesReaderLogic and NIXSeriesInStreamer.\nSee default.cfg '
# 'for a configuration template.')
# label2.setAlignment(QtCore.Qt.AlignVCenter)
# label2.setWordWrap(True)
# button_box = QtWidgets.QDialogButtonBox(QtWidgets.QDialogButtonBox.Ok)
# button_box.setCenterButtons(True)
# layout = QtWidgets.QVBoxLayout()
# layout.addWidget(label1)
# layout.addWidget(label2)
# layout.addWidget(button_box)
# button_box.accepted.connect(dialog.accept)
# dialog.setLayout(layout)
# dialog.exec()
return 0
def __init__(self):
QtGui.QWidget.__init__(self)
self.cap = None
self.filename=None
self.magnification=1
font=QtGui.QFont()
font.setBold(True)
self.resize(500, 1000)
self.setWindowTitle('Open Field analysis: Activity')
layout = QtGui.QGridLayout(self)
self.setLayout(layout)
self.LableMag = QtGui.QLineEdit(self)
self.LableMag.setEnabled(False)
self.LableMag.setGeometry(QtCore.QRect(800, 30, 80, 20))
self.LableMag.setFrame(False)
self.LableMag.setText("Video mag.:")
self.videoSize = QtGui.QComboBox(self)
self.videoSize.addItem("1X")
self.videoSize.addItem("1.5X")
self.videoSize.addItem("2X")
self.videoSize.addItem("3X")
self.videoSize.addItem("4X")
self.videoSize.setCurrentIndex(0)
self.videoSize.setEnabled(True)
self.videoSize.activated.connect(self.magnific)
self.videoSize.setGeometry(QtCore.QRect(675, 30, 50, 20))
self.LablePath = QtGui.QLineEdit(self)
self.LablePath.setEnabled(False)
self.LablePath.setGeometry(QtCore.QRect(90, 10, 641, 20))
self.LablePath.setFrame(False)
self.open_button = QtGui.QPushButton(self)
self.open_button.setText("Open Video")
self.open_button.clicked.connect(self.getfile)
self.open_button.setGeometry(QtCore.QRect(9, 9, 75, 23))
self.save_button = QtGui.QPushButton(self)
self.save_button.setText("Save data")
self.save_button.clicked.connect(self.handleSave)
self.save_button.setGeometry(QtCore.QRect(850, 450, 80, 30))
self.save_button.setEnabled(False)
self.play_button = QtGui.QPushButton(self)
self.play_button.setText("Analyze")
self.play_button.clicked.connect(self.AnalyzeBtn)
self.play_button.setGeometry(QtCore.QRect(760, 450, 80, 30))
self.play_button.setEnabled(False)
self.roi_button = QtGui.QPushButton(self)
self.roi_button.setText("Save Roi")
self.roi_button.clicked.connect(self.roi_box)
self.roi_button.setGeometry(QtCore.QRect(670, 450, 80, 30))
self.pg2_label=QtGui.QLineEdit(self)
self.pg2_label.setGeometry(QtCore.QRect(650, 10, 320, 20))
self.pg2_label.setFrame(False)
self.pg2_label.setEnabled(False)
self.pg2_label.setText("Tracking:")
self.pg2_label.setFont(font)
self.pg2 = pg.GraphicsLayoutWidget(self)
self.pg2.setGeometry(QtCore.QRect(650, 40, 280, 200))
self.pg2.setBackground(None)
self.roi2= pg.RectROI([200, 200], [200, 200], pen=(0,9),
movable=False,centered=True, sideScalers=False)
self.w1=self.pg2.addPlot()
self.plot=pg.PlotDataItem(size=3,connect="all", symbolSize=3)
self.w1.invertY()
self.w1.addItem(self.plot)
self.w1.addItem(self.roi2)
self.roi3= pg.RectROI([200, 200], [200, 200], pen=(2,9),
movable=False,centered=True, sideScalers=False)
self.w1.addItem(self.roi3)
self.Options_label=QtGui.QLineEdit(self)
self.Options_label.setGeometry(QtCore.QRect(670, 270, 320, 20))
self.Options_label.setFrame(False)
self.Options_label.setEnabled(False)
self.Options_label.setText("Options:")
self.Options_label.setFont(font)
self.proBar_label=QtGui.QLineEdit(self)
self.proBar_label.setGeometry(QtCore.QRect(670, 500, 320, 20))
self.proBar_label.setFrame(False)
self.proBar_label.setEnabled(False)
self.proBar_label.setText("Progress:")
self.proBar=QtGui.QProgressBar(self)
self.proBar.setGeometry(QtCore.QRect(670, 520, 280, 20))
self.sl = QtGui.QSlider(self)
self.sl.setOrientation(QtCore.Qt.Horizontal)
self.sl.setMinimum(0)
self.sl.setMaximum(255)
self.sl.setValue(200)
self.sl.setTickPosition(QtGui.QSlider.TicksBelow)
self.sl.setTickInterval(10)
self.sl.setGeometry(QtCore.QRect(750, 340, 180, 20))
self.sl.valueChanged.connect(self.selectionchange)
self.sl.setEnabled(False)
self.sl_brigth = QtGui.QSlider(self)
self.sl_brigth.setOrientation(QtCore.Qt.Horizontal)
self.sl_brigth.setMinimum(0)
self.sl_brigth.setMaximum(50)
self.sl_brigth.setValue(10)
self.sl_brigth.setTickPosition(QtGui.QSlider.TicksBelow)
self.sl_brigth.setTickInterval(10)
self.sl_brigth.valueChanged.connect(self.selectionchange)
self.sl_brigth.setGeometry(QtCore.QRect(750, 370, 180, 20))
self.sl_rotation = QtGui.QSlider(self)
self.sl_rotation.setOrientation(QtCore.Qt.Horizontal)
self.sl_rotation.setMinimum(-180)
self.sl_rotation.setMaximum(180)
self.sl_rotation.setValue(0)
self.sl_rotation.setTickPosition(QtGui.QSlider.TicksBelow)
self.sl_rotation.setTickInterval(20)
self.sl_rotation.valueChanged.connect(self.selectionchange)
self.sl_rotation.setGeometry(QtCore.QRect(750, 400, 180, 20))
self.Inner_label = QtGui.QLineEdit(self)
self.Inner_label.setEnabled(False)
self.Inner_label.setGeometry(QtCore.QRect(670, 230, 80, 20))
self.Inner_label.setFrame(False)
self.Inner_label.setText("Inner box (%):")
self.Inner = QtGui.QLineEdit(self)
self.Inner.setEnabled(True)
self.Inner.setText("45")
self.Inner.setGeometry(QtCore.QRect(760, 230, 40, 20))
self.Inner.setFrame(True)
self.BoxW_label = QtGui.QLineEdit(self)
self.BoxW_label.setEnabled(False)
self.BoxW_label.setGeometry(QtCore.QRect(690, 290, 80, 20))
self.BoxW_label.setFrame(False)
self.BoxW_label.setText("Width (cm):")
self.BoxW = QtGui.QLineEdit(self)
self.BoxW.setEnabled(True)
self.BoxW.setText("80")
self.BoxW.setGeometry(QtCore.QRect(760, 290, 40, 20))
self.BoxW.setFrame(True)
self.BoxL_label = QtGui.QLineEdit(self)
self.BoxL_label.setEnabled(False)
self.BoxL_label.setGeometry(QtCore.QRect(830, 290, 80, 20))
self.BoxL_label.setFrame(False)
self.BoxL_label.setText("Long (cm):")
self.BoxL = QtGui.QLineEdit(self)
self.BoxL.setEnabled(True)
self.BoxL.setText("100")
self.BoxL.setGeometry(QtCore.QRect(895, 290, 40, 20))
self.BoxL.setFrame(True)
self.thresh_label = QtGui.QLineEdit(self)
self.thresh_label.setEnabled(False)
self.thresh_label.setGeometry(QtCore.QRect(670, 340, 80, 20))
self.thresh_label.setFrame(False)
self.thresh_label.setText("Set threshold:")
self.bright_label = QtGui.QLineEdit(self)
self.bright_label.setEnabled(False)
self.bright_label.setGeometry(QtCore.QRect(670, 370, 80, 20))
self.bright_label.setFrame(False)
self.bright_label.setText("Set brightness:")
self.rotation_label = QtGui.QLineEdit(self)
self.rotation_label.setEnabled(False)
self.rotation_label.setGeometry(QtCore.QRect(670, 400, 80, 20))
self.rotation_label.setFrame(False)
self.rotation_label.setText("Rotate image:")
self.btn_refresh= QtGui.QPushButton(self)
self.btn_refresh.setText("Live")
self.btn_refresh.clicked.connect(self.Live)
self.btn_refresh.setGeometry(QtCore.QRect(850, 230, 80, 23))
layout.addWidget(self.open_button, 0,0)
layout.addWidget(self.LableMag, 0,1)
layout.addWidget(self.videoSize, 0,2)
layout.addWidget(self.LablePath, 1,0)
layout.addWidget(self.pg2_label, 2,0)
layout.addWidget(self.pg2, 3,0,3,3)
layout.addWidget(self.btn_refresh, 2,2)
layout.addWidget(self.Options_label, 7,0)
layout.addWidget(self.Inner_label, 8,1)
layout.addWidget(self.Inner, 8,2)
layout.addWidget(self.BoxW_label, 9,1)
layout.addWidget(self.BoxW, 9,2)
layout.addWidget(self.BoxL_label, 10,1)
layout.addWidget(self.BoxL, 10,2)
layout.addWidget(self.thresh_label, 12,0)
layout.addWidget(self.sl, 12,1,1,2)
layout.addWidget(self.bright_label, 13,0)
layout.addWidget(self.sl_brigth, 13,1,1,2)
layout.addWidget(self.rotation_label, 14,0)
layout.addWidget(self.sl_rotation, 14,1,1,2)
layout.addWidget(self.roi_button, 16,0)
layout.addWidget(self.play_button, 16,1)
layout.addWidget(self.save_button, 16,2)
layout.addWidget(self.proBar_label, 18,0)
layout.addWidget(self.proBar, 18,1,1,2)
self.show()
def on_activate(self):
""" Definition and initialisation of the GUI.
"""
self._wm_logger_logic = self.get_connector('wavemeterloggerlogic1')
self._save_logic = self.get_connector('savelogic')
# setting up the window
self._mw = WavemeterLogWindow()
## giving the plots names allows us to link their axes together
self._pw = self._mw.plotWidget # pg.PlotWidget(name='Counter1')
self._plot_item = self._pw.plotItem
## create a new ViewBox, link the right axis to its coordinate system
self._right_axis = pg.ViewBox()
self._plot_item.showAxis('right')
self._plot_item.scene().addItem(self._right_axis)
self._plot_item.getAxis('right').linkToView(self._right_axis)
self._right_axis.setXLink(self._plot_item)
## create a new ViewBox, link the right axis to its coordinate system
self._top_axis = pg.ViewBox()
self._plot_item.showAxis('top')
self._plot_item.scene().addItem(self._top_axis)
self._plot_item.getAxis('top').linkToView(self._top_axis)
self._top_axis.setYLink(self._plot_item)
self._top_axis.invertX(b=True)
# handle resizing of any of the elements
self._update_plot_views()
self._plot_item.vb.sigResized.connect(self._update_plot_views)
self._pw.setLabel('left', 'Fluorescence', units='counts/s')
self._pw.setLabel('right', 'Number of Points', units='#')
self._pw.setLabel('bottom', 'Wavelength', units='nm')
self._pw.setLabel('top', 'Relative Frequency', units='Hz')
self._mw.actionStop_resume_scan.triggered.connect(
self.stop_resume_clicked)
self._mw.actionSave_histogram.triggered.connect(self.save_clicked)
self._mw.actionStart_scan.triggered.connect(self.start_clicked)
self._mw.actionAuto_range.triggered.connect(self.set_auto_range)
# defining the parameters to edit
self._mw.binSpinBox.setValue(self._wm_logger_logic.get_bins())
self._mw.binSpinBox.editingFinished.connect(self.recalculate_histogram)
self._mw.minDoubleSpinBox.setValue(
self._wm_logger_logic.get_min_wavelength())
self._mw.minDoubleSpinBox.editingFinished.connect(
self.recalculate_histogram)
self._mw.maxDoubleSpinBox.setValue(
self._wm_logger_logic.get_max_wavelength())
self._mw.maxDoubleSpinBox.editingFinished.connect(
self.recalculate_histogram)
self._mw.show()
## Create an empty plot curve to be filled later, set its pen
self.curve_data_points = pg.PlotDataItem(pen=pg.mkPen(palette.c1),
symbol=None)
self.curve_nm_counts = pg.PlotDataItem(pen=pg.mkPen(
palette.c2, style=QtCore.Qt.DotLine),
symbol=None)
self.curve_hz_counts = pg.PlotDataItem(pen=pg.mkPen(
palette.c6, style=QtCore.Qt.DotLine),
symbol=None)
self.curve_envelope = pg.PlotDataItem(pen=pg.mkPen(
palette.c3, style=QtCore.Qt.DotLine),
symbol=None)
self.curve_fit = pg.PlotDataItem(pen=pg.mkPen(palette.c2, width=3),
symbol=None)
self._pw.addItem(self.curve_data_points)
self._pw.addItem(self.curve_envelope)
self._right_axis.addItem(self.curve_nm_counts)
self._top_axis.addItem(self.curve_hz_counts)
self._save_PNG = True
# scatter plot for time series
self._spw = self._mw.scatterPlotWidget
self._spi = self._spw.plotItem
self._spw.setLabel('bottom', 'Wavelength', units='nm')
self._spw.setLabel('left', 'Time', units='s')
self._scatterplot = pg.ScatterPlotItem(size=10,
pen=pg.mkPen(None),
brush=pg.mkBrush(
255, 255, 255, 20))
self._spw.addItem(self._scatterplot)
self._spw.setXLink(self._plot_item)
self._wm_logger_logic.sig_new_data_point.connect(self.add_data_point)
self._wm_logger_logic.sig_data_updated.connect(self.updateData)
# fit settings
self._fsd = FitSettingsDialog(self._wm_logger_logic.fc)
self._fsd.sigFitsUpdated.connect(
self._mw.fit_methods_ComboBox.setFitFunctions)
self._fsd.applySettings()
self._mw.actionFit_settings.triggered.connect(self._fsd.show)
self._mw.do_fit_PushButton.clicked.connect(self.doFit)
self.sigDoFit.connect(self._wm_logger_logic.do_fit)
self.sigFitChanged.connect(self._wm_logger_logic.fc.set_current_fit)
self._wm_logger_logic.sig_fit_updated.connect(self.updateFit)
def __init__(self,
data_filename,
bgimg,
delta_video_filename,
load_original=False,
clickable_width=6,
draw_interesting_time_points=True,
draw_config_function=False):
self.load_original = load_original
TemplateBaseClass.__init__(self)
self.setWindowTitle('Trajectory Viewer GUI v2')
# Create the main window
#self.app = QtGui.QApplication([])
self.ui = WindowTemplate()
self.ui.setupUi(self)
#self.show()
# options
self.draw_interesting_time_points = draw_interesting_time_points
self.draw_config_function = draw_config_function
# Buttons
self.ui.save_trajecs.clicked.connect(self.save_trajectories)
self.ui.movie_save.clicked.connect(self.save_image_sequence)
self.ui.movie_speed.sliderMoved.connect(self.set_movie_speed)
self.ui.trajec_undo.clicked.connect(self.trajec_undo)
self.ui.movie_play.clicked.connect(self.movie_play)
self.ui.movie_pause.clicked.connect(self.movie_pause)
self.ui.trajec_delete.clicked.connect(self.toggle_trajec_delete)
self.ui.trajec_cut.clicked.connect(self.toggle_trajec_cut)
self.ui.trajec_join_collect.clicked.connect(
self.toggle_trajec_join_collect)
self.ui.trajec_select_all.clicked.connect(self.select_all_trajecs)
self.ui.trajec_join_add_data.clicked.connect(
self.toggle_trajec_join_add_data)
self.ui.trajec_join_save.clicked.connect(self.trajec_join_save)
self.ui.trajec_join_clear.clicked.connect(
self.toggle_trajec_join_clear)
self.ui.save_annotation.clicked.connect(self.save_annotation)
self.ui.load_annotations.clicked.connect(self.load_annotations)
self.ui.annotated_color_checkbox.stateChanged.connect(
self.toggle_annotated_colors)
self.ui.annotated_hide_checkbox.stateChanged.connect(
self.toggle_annotated_hide)
if not SMALL:
self.ui.get_original_objid.clicked.connect(
self.trajec_get_original_objid)
self.ui.save_colors.clicked.connect(self.save_trajec_colors)
self.ui.min_selection_length.setPlainText(str(0))
self.ui.max_selection_length.setPlainText(str(-1)) # -1 means all
# parameters
self.data_filename = data_filename
self.load_data()
self.backgroundimg_filename = bgimg
self.backgroundimg = None
self.binsx = None
self.binsy = None
trange = np.float(
np.max(self.pd.time_epoch.values) -
np.min(self.pd.time_epoch.values))
self.troi = [
np.min(self.pd.time_epoch.values),
np.min(self.pd.time_epoch.values) + trange * 0.1
]
self.skip_frames = 1
self.frame_delay = 0.03
self.path = os.path.dirname(data_filename)
self.clickable_width = clickable_width
# load delta video bag
if delta_video_filename != 'none':
self.dvbag = rosbag.Bag(delta_video_filename)
else:
self.dvbag = None
# Initialize
self.trajec_width_dict = {}
try:
fname = os.path.join(self.path, 'trajec_to_color_dict.pickle')
f = open(fname, 'r+')
self.trajec_to_color_dict = pickle.load(f)
f.close()
except:
self.trajec_to_color_dict = {}
for key in self.pd.objid.unique():
color = get_random_color()
self.trajec_to_color_dict.setdefault(key, color)
self.plotted_traces_keys = []
self.plotted_traces = []
self.trajectory_ends_vlines = []
self.data_to_add = []
self.selected_trajectory_ends = []
self.object_id_numbers = []
self.annotations = os.path.join(self.path, 'annotations.pickle')
if os.path.exists(self.annotations):
f = open(self.annotations, 'r+')
data = pickle.load(f)
f.close()
self.annotated_keys = data.keys()
else:
self.annotated_keys = []
self.time_mouse_click = time.time()
self.cut_objects = False
self.delete_objects = False
self.join_objects = False
self.add_data = False
self.crosshair_pen = pg.mkPen('w', width=1)
self.ui.qtplot_timetrace.enableAutoRange('xy', False)
if self.config is not None:
print('**** Sensory stimulus: ', self.config.sensory_stimulus_on)
for r, row in enumerate(self.config.sensory_stimulus_on):
v1 = pg.PlotDataItem([
self.config.sensory_stimulus_on[r][0],
self.config.sensory_stimulus_on[r][0]
], [0, 10])
v2 = pg.PlotDataItem([
self.config.sensory_stimulus_on[r][-1],
self.config.sensory_stimulus_on[r][-1]
], [0, 10])
try:
f12 = pg.FillBetweenItem(
curve1=v1,
curve2=v2,
brush=pg.mkBrush(self.config.sensory_stimulus_rgba[r]))
except:
f12 = pg.FillBetweenItem(curve1=v1,
curve2=v2,
brush=pg.mkBrush(
(255, 0, 0, 150)))
self.ui.qtplot_timetrace.addItem(f12)
lr = pg.LinearRegionItem(values=self.troi)
f = 'update_time_region'
lr.sigRegionChanged.connect(self.__getattribute__(f))
self.ui.qtplot_timetrace.addItem(lr)
print('drawing interesting time points')
self.draw_timeseries_vlines_for_interesting_timepoints()
print('done drawing interesting time points')
self.ui.qtplot_timetrace.setRange(xRange=[
np.min(self.time_epoch_continuous),
np.max(self.time_epoch_continuous)
],
yRange=[0, np.max(self.nflies)])
self.ui.qtplot_timetrace.setLimits(yMin=0, yMax=np.max(self.nflies))
self.ui.qtplot_timetrace.setLimits(minYRange=np.max(self.nflies),
maxYRange=np.max(self.nflies))
self.current_time_vline = pg.InfiniteLine(angle=90, movable=False)
self.ui.qtplot_timetrace.addItem(self.current_time_vline,
ignoreBounds=True)
self.current_time_vline.setPos(0)
pen = pg.mkPen((255, 255, 255), width=2)
self.current_time_vline.setPen(pen)
# hide a bunch of the axes
self.ui.qtplot_timetrace.hideAxis('left')
self.ui.qtplot_timetrace.hideAxis('bottom')
self.ui.qtplot_trajectory.hideAxis('left')
self.ui.qtplot_trajectory.hideAxis('bottom')
x_scale_vals=x_scale_vals,
auto_run=False)
if show_ecp_definition:
win = o3plot.create_scaled_window_for_tds(tds, title='ECP definition')
o3plot.plot_two_d_system(tds, win)
o3plot.show()
##%
fc.get_special_coords_and_slopes() # Step 1
if show_get_special_coords_and_slopes:
win = o3plot.create_scaled_window_for_tds(
tds, title='get_special_coords_and_slopes')
leg = win.addLegend(offset=(70, 30), brush=0.3, labelTextColor='w')
o3plot.plot_two_d_system(tds, win, c2='w', cs='w')
leg.addItem(pg.PlotDataItem([0], [0], pen='w'),
name='2D system definition')
for i in range(len(fc.sds)):
win.plot(fc.sds[i][0],
fc.sds[i][1],
pen='b',
symbol='x',
symbolPen='b',
symbolBrush='b',
symbolSize=10,
name='Important slope')
xcs = fc.xcs_sorted
for i in range(len(xcs)):
xc = xcs[i]
xn = xc * np.ones_like(list(fc.yd[xc]))
win.plot(xn,
def __init__(self):
# Load an instance of the Digitizer control object
# Load the ui file for GUI
QtGui.QMainWindow.__init__(self)
Ui_MainWindow.__init__(self)
self.setupUi(self)
self.mutex = QtCore.QMutex()
# Window for real time streaming
pg.setConfigOption('background','w')
pg.setConfigOption('foreground','k')
self.pen=pg.mkPen(color=(0,0,0))
self.pen2=pg.mkPen(color=(255,0,0))
#self.pen=pg.mkPen(1)
#self.streamwindow=pg.LayoutWidget()
self.plotchannels = pg.GraphicsLayoutWidget()
self.StreamWindow.addWidget(self.plotchannels,row=0,col=0,rowspan=1,colspan=1)
self.plt_chA =self.plotchannels.addPlot(row=0,col=0)
self.plt_chA.setLabel(axis='left',text='Signal')
self.plt_chA.setLabel(axis='bottom',text='Tof (x0.5ns)')
self.plt_chA.showGrid(1,1,alpha=0.5)
self.plt_datachA=pg.PlotDataItem(np.arange(2000),np.zeros((2000)))
self.plt_chA.addItem(self.plt_datachA)
self.roiA = pg.LinearRegionItem(values=(500,1000),bounds=(-30000,30000)) # first vector =[x0,y0], second vector =[lx,ly]
self.plt_chA.addItem(self.roiA)
self.roiA.setZValue(10) # make sure ROI is drawn above image
#self.roiA.sigRegionChanged.connect(self.UpdatePlot)
self.plt_intchA =self.plotchannels.addPlot(row=1,col=0)
self.plt_intchA.setLabel(axis='left',text='Integrated Signal')
self.plt_intchA.setLabel(axis='bottom',text='real time (ms)')
self.plt_intchA.showGrid(1,1,alpha=0.5)
self.ROIRate_button.display(0)
self.plotchannelsSCTDC = pg.GraphicsLayoutWidget()
self.StreamWindow_SCTDC.addWidget(self.plotchannelsSCTDC,row=0,col=0,rowspan=1,colspan=1)
self.plotScan=self.plotchannelsSCTDC.addPlot(row=0,col=0)
self.imgSCTDC = pg.ImageItem()
self.plotScan.addItem(self.imgSCTDC)
self.hist = pg.HistogramLUTItem()
self.hist.setImageItem(self.imgSCTDC)
self.plotchannelsSCTDC.addItem(self.hist,row=0,col=1)
self.isoLine = pg.InfiniteLine(angle=0, movable=True, pen='g')
self.hist.vb.addItem(self.isoLine)
self.hist.vb.setMouseEnabled(y=False) # makes user interaction a little easier
self.isoLine.setValue(0.8)
self.isoLine.setZValue(1000) # bring iso line above contrast controls
#Digitizer stream parameters
self.StartStream_button.clicked.connect(self.StartStream)
self.StopStream_button.clicked.connect(self.StopStream)
self.SignalThresh_button.valueChanged.connect(self.setAcquisitionParameters)
self.TOFT0_button.valueChanged.connect(self.setAcquisitionParameters)
#self.ChA_broadcast_button.stateChanged.connect(self.
# Digitizer record parameters
self.RecSS_button.clicked.connect(self.setAcquisitionParameters)
self.RecAvg_button.clicked.connect(self.setAcquisitionParameters)
self.progress=0.0
self.Nsamples_button.valueChanged.connect(self.setAcquisitionParameters)
self.Nseconds_button.valueChanged.connect(self.setAcquisitionParameters)
self.Reprate_button.activated.connect(self.setAcquisitionParameters)
self.PretriggerVal_button.valueChanged.connect(self.setAcquisitionParameters)
self.HoldoffVal_button.valueChanged.connect(self.setAcquisitionParameters)
self.RecRef_button.clicked.connect(self.SaveTrace)
# Metadata record parameters
# Voltages
self.Vtofmcpf_button.valueChanged.connect(self.setMetadata)
self.Vgrid_button.valueChanged.connect(self.setMetadata)
self.Vtofdtube_button.valueChanged.connect(self.setMetadata)
self.Vrep_button.valueChanged.connect(self.setMetadata)
self.Vext_button.valueChanged.connect(self.setMetadata)
self.Vcorr_button.valueChanged.connect(self.setMetadata)
self.Vvmimcpf_button.valueChanged.connect(self.setMetadata)
self.Vvmimcpb_button.valueChanged.connect(self.setMetadata)
self.Vph_button.valueChanged.connect(self.setMetadata)
# Channels labels
#self.ChAlabel_button.textChanged.connect(self.setMetadata)
#self.ChBlabel_button.textChanged.connect(self.setMetadata)
#delay value for single tof (no dscan)
self.Singledelay_button.valueChanged.connect(self.setMetadata)
# Comments on the scan
self.Comments_button.textChanged.connect(self.setMetadata)
# Path for file saving
self.FilePath_button.textChanged.connect(self.setAcquisitionParameters)
self.FilePath='//sb1files.epfl.ch/lsu/LSU_DATA/Wetlab/Data/Photoelectrons/20180809'
self.FilePathBrowser_button.clicked.connect(self.setDir)
#
self.DscanMode_button.stateChanged.connect(self.setAcquisitionParameters)
self.DscanStart_button.valueChanged.connect(self.setAcquisitionParameters)
self.DscanStop_button.valueChanged.connect(self.setAcquisitionParameters)
self.DscanStep_button.valueChanged.connect(self.setAcquisitionParameters)
#self.FilePath_button.textChanged.connect(self.setAcquisitionParameters)
self.Delayfile=[]
self.DelayfilePath=''
self.DelayfileBrowser_button.clicked.connect(self.setDelayfile)
# Start/Stop
self.data_chA = np.zeros((self.Nsamples_button.value()),dtype=np.int64)
self.RecData_chA=np.zeros((self.Nsamples_button.value()*2),dtype=np.int64)
self.diff_data=0
self.prev_data=0
self.rolling_dataA = np.zeros((500,2)) # rolling array for integrated signal in real time from CHA
self.rolling_count = 0
self.t0 = 0 # first timeStamp recording
self.SavedData_chA = np.zeros((self.Nsamples_button.value()),dtype=np.int64)
self.StartAcq_button.clicked.connect(self.StartAcquisition)
self.StopAcq_button.clicked.connect(self.StopAcquisition)
self.AcqStart=0
print 'GUI loaded'
f.write('GUI loaded')
self.timer=QtCore.QTimer()
self.timer.timeout.connect(self.UpdateRecording)
self.MetadataDict=[]
self.thread=[]
self.SCTDCthread=[]
self.TDCthread=[]
self.broadcastthread=[]
self.DAQ=DAQ()
self.SCTDC=[]
self.Dstage=DelayStage()
self.KineticEnergy=np.zeros((self.Nsamples_button.value()))
self.delaylist=np.zeros((1))
f.write('init digitizer done')
print 'init digitizer done'
def _show_calculation_button_fired(self):
d = self.FFx[1] - self.FFx[0]
FFx = np.zeros((len(self.time), len(self.FFx)))
FFy = np.zeros((len(self.time), len(self.FFx)))
for i in range(len(self.time)):
self._fourier_transform(self.time[i]) # now we have self.FFx and self.FFy
FFx[i][:] = self.FFx
FFy[i][:] = self.FFy ** 2
self._mw.a.setValue(self.a)
self._mw.g.setValue(self.g)
self.S = (self.a / np.pi) * self.g / ((self.FFx - self.x0) ** 2 + self.g ** 2) + (
self.k * self.FFx + self.b) * 1e-18
self._mw.spin_noise_plot.clear()
self.noise_spectrum_image = pg.PlotDataItem(self.FFx,
self.S * 1e18,
pen=pg.mkPen(palette.c5, style=QtCore.Qt.DotLine),
symbol='o',
symbolPen=palette.c5,
symbolBrush=palette.c5,
symbolSize=7)
self._mw.spin_noise_plot.addItem(self.noise_spectrum_image)
self._mw.spin_noise_plot.setLabel(axis='left', text='Intensity', units='arb.u.')
self._mw.spin_noise_plot.setLabel(axis='bottom', text='Frequency', units='Hz')
self._mw.spin_noise_plot.showGrid(x=True, y=True, alpha=0.8)
hi = []
hi1 = []
for i in range(len(self.time)):
Int = trapz(self.S * FFy[i][:], dx=d) * 1e+18 # integration
hi.append(Int)
Int1 = trapz((self.k * self.FFx + self.b) * FFy[i][:], dx=d) # integration
hi1.append(Int1)
hi = [-x for x in hi]
hi1 = [-x for x in hi1]
calculated_counts = np.exp(hi)
self._mw.error_approximation.display(100 * np.sum(
np.abs(calculated_counts - self.normalized_counts) / calculated_counts) / len(self.normalized_counts))
try:
self._mw.processeddataplot.removeItem(self.fit_image)
self._mw.processeddataplot.removeItem(self.baseline_image)
except: print(1)
self.fit_image = pg.PlotDataItem(self.time,
calculated_counts,
pen=pg.mkPen(palette.c6, style=QtCore.Qt.DotLine),
symbol='o',
symbolPen=palette.c6,
symbolBrush=palette.c6,
symbolSize=7
)
self._mw.processeddataplot.addItem(self.fit_image)
self.baseline_image = pg.PlotDataItem(self.time,
np.exp(hi1),
pen=pg.mkPen(palette.c6, style=QtCore.Qt.DotLine),
symbol='o',
symbolPen=palette.c6,
symbolBrush=palette.c6,
symbolSize=7
)
self._mw.processeddataplot.addItem(self.baseline_image)
def _get_sel_range_curve(self):
color = QColor(self.color)
color.setAlpha(LinePlotStyle.SELECTED_RANGE_ALPHA)
curve1 = curve2 = pg.PlotDataItem(x=self.x_data, y=self.__mean)
return pg.FillBetweenItem(curve1, curve2, brush=color)
def peakdetection(self, blueThresh, redThresh, bluePeakThresh,
redPeakThresh):
markers = ['C', 'A', 'G', 'T']
colors = ['r', 'b']
score = ascore = gscore = tscore = spseries = pd.Series()
df = pd.DataFrame({
"ident": [],
'stimes': [],
'etimes': [],
'peaks': [],
'mins': []
})
seqdf = pd.DataFrame({'base': [], 'times': []})
time1, intensity1 = self.p1.roiCurve1.getData()
time2, intensity2 = self.p1.roiCurve2.getData()
intensities = [intensity1, intensity2]
self.firingplotlist = []
peakseries = pd.Series()
minseries = pd.Series()
for ind, intensity in enumerate(intensities):
if ind == 0:
thresh = redThresh
noise = redPeakThresh
if ind == 1:
thresh = blueThresh
noise = bluePeakThresh
firing = np.where(
((intensity > thresh) & (intensity > intensities[ind - 1])))[0]
startandend = np.diff(firing)
startpoints = np.insert(startandend, 0, 2)
endpoints = np.insert(startandend, -1, 2)
startpoints = np.where(startpoints > 1)[0]
endpoints = np.where(endpoints > 1)[0]
startpoints = firing[startpoints]
endpoints = firing[endpoints]
df = df.append(pd.DataFrame({
"ident": [ind] * len(startpoints),
'stimes': startpoints,
'etimes': endpoints
}),
ignore_index=True)
for i, x in enumerate(startpoints):
sp = startpoints[i]
ep = endpoints[i] + 1
curve = pg.PlotDataItem(x=np.linspace(sp, ep, ep - sp),
y=intensity[sp:ep],
pen=pg.mkPen(colors[ind], width=2))
self.firingplotlist.append(curve)
self.p1.getRoiPlot().addItem(curve)
try:
peaks, mins = peakdet(v=intensity[sp:ep],
delta=noise,
x=np.arange(sp, ep))
if len(peaks) == 0 or len(mins) == 0:
peaks = np.NAN
substack = np.mean(self.stack[sp:ep], 0)
if ind == 0:
cscore = np.dot(substack.ravel(),
self.czpro[0].ravel())
ascore = np.dot(substack.ravel(),
self.czpro[1].ravel())
if cscore > ascore:
call = 'C'
else:
call = 'A'
if ind == 1:
gscore = np.dot(substack.ravel(),
self.czpro[2].ravel())
tscore = np.dot(substack.ravel(),
self.czpro[3].ravel())
if gscore > tscore:
call = 'G'
else:
call = 'T'
seqdf = seqdf.append(pd.DataFrame({
'base': [call],
'times': [sp]
}),
ignore_index=True)
else:
# point = pg.PlotDataItem(peaks, pen = None, symbol = 'o', symbolBrush = 'g')
# self.p1.getRoiPlot().addItem(point)
# self.firingplotlist.append(point)
# point = pg.PlotDataItem(mins, pen = None, symbol = 'o', symbolBrush = 'r')
# self.p1.getRoiPlot().addItem(point)
# self.firingplotlist.append(point)
for i, x in enumerate(peaks):
if i == 0:
ssp = sp
sep = int(mins[i][0])
elif i == len(peaks) - 1:
ssp = int(mins[i - 1][0])
sep = ep
else:
ssp = int(mins[i - 1][0])
sep = int(mins[i][0])
substack = np.mean(self.stack[ssp:sep + 1], 0)
if ind == 0:
cscore = np.dot(substack.ravel(),
self.czpro[0].ravel())
ascore = np.dot(substack.ravel(),
self.czpro[1].ravel())
if cscore > ascore:
call = 'C'
else:
call = 'A'
if ind == 1:
gscore = np.dot(substack.ravel(),
self.czpro[2].ravel())
tscore = np.dot(substack.ravel(),
self.czpro[3].ravel())
if gscore > tscore:
call = 'G'
else:
call = 'T'
seqdf = seqdf.append(pd.DataFrame({
'base': [call],
'times': [ssp]
}),
ignore_index=True)
peakseries = peakseries.append(pd.Series([peaks]))
minseries = minseries.append(pd.Series([mins]))
except:
ValueError
seqdf = seqdf.sort(['times', 'base'])
for i, x in enumerate(seqdf.index):
base = seqdf.base[i]
if base == 'C':
color = 'r'
intensity = intensities[0][int(seqdf.times[i])]
if base == 'A':
color = 'y'
intensity = intensities[0][int(seqdf.times[i])]
if base == 'G':
color = 'g'
intensity = intensities[1][int(seqdf.times[i])]
if base == 'T':
color = 'b'
intensity = intensities[1][int(seqdf.times[i])]
text = pg.TextItem(base, color=color)
seqplot = self.p1.getRoiPlot().addItem(text)
if i == 0:
self.seqplotlist = [text]
else:
self.seqplotlist.append(text)
text.setPos(seqdf.times[i], intensity)
print(seqdf.base.str.cat())
return seqdf
def __init__(self,
data_filename,
bgimg,
delta_video_filename,
skip_frames=5):
'''
skip_frames - when playing back movie, how many frames to skip between updates (to speed up viewing)
'''
self.data_filename = data_filename
self.load_data()
self.backgroundimg_filename = bgimg
self.backgroundimg = None
self.binsx = None
self.binsy = None
trange = np.max(self.pd.time_epoch.values) - np.min(
self.pd.time_epoch.values)
self.troi = [
np.min(self.pd.time_epoch.values),
np.min(self.pd.time_epoch.values) + trange * 0.1
]
self.skip_frames = skip_frames
self.path = os.path.dirname(delta_video_filename)
# load delta video bag
if delta_video_filename != 'none':
self.dvbag = rosbag.Bag(delta_video_filename)
else:
self.dvbag = None
# trajectory colors
self.trajec_to_color_dict = {}
self.trajec_width_dict = {}
self.plotted_traces_keys = []
self.plotted_traces = []
self.trajectory_ends_vlines = []
## create GUI
self.app = QtGui.QApplication([])
self.w = QtGui.QWidget()
self.layout = QtGui.QGridLayout()
self.w.setLayout(self.layout)
self.w.show()
# play movie button
play_btn = QtGui.QPushButton('play video sequence')
play_btn.pressed.connect(self.play_movie)
self.layout.addWidget(play_btn, 0, 0)
# stop movie button
stop_btn = QtGui.QPushButton('stop video sequence')
stop_btn.pressed.connect(self.stop_movie)
self.layout.addWidget(stop_btn, 1, 0)
# toggle delete trajectory button
toggle_delete_object_id_btn = QtGui.QPushButton(
'delete objects\ncrosshair = red')
toggle_delete_object_id_btn.pressed.connect(
self.toggle_delete_object_id_numbers)
self.layout.addWidget(toggle_delete_object_id_btn, 3, 0)
self.delete_objects = False
# toggle cut trajectory button
toggle_cut_object_id_btn = QtGui.QPushButton(
'cut objects\ncrosshair = yellow')
toggle_cut_object_id_btn.pressed.connect(
self.toggle_cut_object_id_numbers)
self.layout.addWidget(toggle_cut_object_id_btn, 4, 0)
self.cut_objects = False
# start collecting object ids button
start_collecting_object_id_btn = QtGui.QPushButton(
'select objects to join\ncrosshair = green')
start_collecting_object_id_btn.pressed.connect(
self.start_collecting_object_id_numbers)
self.layout.addWidget(start_collecting_object_id_btn, 5, 0)
self.join_objects = False
# save collected object ids button
save_collected_object_id_btn = QtGui.QPushButton(
'join selected\nobject id numbers')
save_collected_object_id_btn.pressed.connect(
self.save_collected_object_id_numbers)
self.layout.addWidget(save_collected_object_id_btn, 6, 0)
# undo
undo_btn = QtGui.QPushButton('undo last action')
undo_btn.pressed.connect(self.undo)
self.layout.addWidget(undo_btn, 7, 0)
self.p1 = pg.PlotWidget(title="Basic array plotting")
self.p1.enableAutoRange('xy', False)
self.layout.addWidget(self.p1, 1, 1)
if self.config is not None:
print '**** Sensory stimulus: ', self.config.sensory_stimulus_on
for r, row in enumerate(self.config.sensory_stimulus_on):
v1 = pg.PlotDataItem([
self.config.sensory_stimulus_on[r][0],
self.config.sensory_stimulus_on[r][0]
], [0, 10])
v2 = pg.PlotDataItem([
self.config.sensory_stimulus_on[r][-1],
self.config.sensory_stimulus_on[r][-1]
], [0, 10])
f12 = pg.FillBetweenItem(curve1=v1,
curve2=v2,
brush=pg.mkBrush('r'))
self.p1.addItem(f12)
self.p2 = pg.PlotWidget()
self.layout.addWidget(self.p2, 0, 1)
lr = pg.LinearRegionItem(values=self.troi)
f = 'update_time_region'
lr.sigRegionChanged.connect(self.__getattribute__(f))
self.p1.addItem(lr)
self.draw_timeseries_vlines_for_interesting_timepoints()
self.current_time_vline = pg.InfiniteLine(angle=90, movable=False)
self.p1.addItem(self.current_time_vline, ignoreBounds=True)
self.current_time_vline.setPos(0)
pen = pg.mkPen((255, 255, 255), width=2)
self.current_time_vline.setPen(pen)
