def _save_select_detect(self, *args, filename=None):
"""Export selected detection."""
channel, method = self._get_current_chan_type()
# Read Table
row_count = self._DetectLocations.rowCount()
sta_ind = [channel, '', 'Time index (s)']
end_ind = [method, '', 'Time index (s)']
duration = ['', '', 'Duration (s)']
stage = ['', '', 'Sleep stage']
for row in np.arange(row_count):
sta_ind.append(str(self._DetectLocations.item(row, 0).text()))
end_ind.append(str(self._DetectLocations.item(row, 1).text()))
duration.append(str(self._DetectLocations.item(row, 2).text()))
stage.append(str(self._DetectLocations.item(row, 3).text()))
# Get file name :
saveas = "locinfo" + '_' + channel + '-' + method
if filename is None:
filename = dialog_save(self, 'Save ' + method + ' detection',
saveas, "CSV file (*.csv);;Text file"
" (*.txt);;All files (*.*)")
if filename:
file, ext = os.path.splitext(filename)
file += '_' + channel + '-' + method
zp = zip(sta_ind, end_ind, duration, stage)
if ext.find('csv') + 1:
write_csv(file + '.csv', zp)
elif ext.find('txt') + 1:
write_txt(file + '.txt', zp)
def _save_select_detect(self, *args, filename=None):
"""Export selected detection."""
channel, method = self._get_current_chan_type()
# Read Table
row_count = self._DetectLocations.rowCount()
sta_ind = [channel, '', 'Time index (s)']
end_ind = [method, '', 'Time index (s)']
duration = ['', '', 'Duration (s)']
stage = ['', '', 'Sleep stage']
for row in np.arange(row_count):
sta_ind.append(str(self._DetectLocations.item(row, 0).text()))
end_ind.append(str(self._DetectLocations.item(row, 1).text()))
duration.append(str(self._DetectLocations.item(row, 2).text()))
stage.append(str(self._DetectLocations.item(row, 3).text()))
# Get file name :
saveas = "locinfo" + '_' + channel + '-' + method
if filename is None:
filename = dialog_save(
self, 'Save ' + method + ' detection', saveas,
"CSV file (*.csv);;Text file"
" (*.txt);;All files (*.*)")
if filename:
file, ext = os.path.splitext(filename)
file += '_' + channel + '-' + method
zp = zip(sta_ind, end_ind, duration, stage)
if ext.find('csv') + 1:
write_csv(file + '.csv', zp)
elif ext.find('txt') + 1:
write_txt(file + '.txt', zp)
def _save_all_detect(self, *args, filename=None):
"""Export all detections."""
# Get file name :
if filename is None:
filename = dialog_save(self, 'Save all detections', 'detections',
"NumPy (*.npy);;All files (*.*)")
if filename:
file = os.path.splitext(str(filename))[0]
np.save(file + '.npy', self._detect.dict)
def _save_all_detect(self, *args, filename=None):
"""Export all detections."""
# Get file name :
if filename is None:
filename = dialog_save(self, 'Save all detections', 'detections',
"NumPy (*.npy);;All files (*.*)")
if filename:
file = os.path.splitext(str(filename))[0]
np.save(file + '.npy', self._detect.dict)
def _save_hyp_fig(self, *args, filename=None, **kwargs):
"""Save a 600 dpi .png figure of the hypnogram."""
if filename is None:
filename = dialog_save(self, 'Save Hypnogram figure', 'hypno',
"PNG (*.png);;All files (*.*)")
if filename:
hypno = self._hypno.copy()
grid = self._slGrid.isChecked()
ascolor = self._PanHypnoColor.isChecked()
write_fig_hyp(hypno, self._sf, file=filename,
start_s=self._toffset, grid=grid, ascolor=ascolor)
def _save_config(self, *args, filename=None):
"""Save a config file (*.txt) containing several display parameters."""
if filename is None:
filename = dialog_save(self, 'Save config File', 'config',
"JSON file (*.json);;Text file (*.txt)")
if filename:
config = {}
# Get channels visibility / amplitude :
viz, amp = [], []
for i, k in enumerate(self._chanChecks):
viz.append(k.isChecked())
amp.append(self._ymaxSpin[i].value())
config['Channel_Names'] = self._channels
config['Channel_Visible'] = viz
config['Channel_Amplitude'] = amp
# config['AllAmpMin'] = self._PanAllAmpMin.value()
# config['AllAmpMax'] = self._PanAllAmpMax.value()
config['SymAmp'] = self._PanAmpSym.isChecked()
config['AutoAmp'] = self._PanAmpAuto.isChecked()
# Spectrogram :
config['Spec_Visible'] = self.menuDispSpec.isChecked()
config['Spec_Method'] = self._PanSpecMethod.currentIndex()
config['Spec_Length'] = self._PanSpecNfft.value()
config['Spec_Overlap'] = self._PanSpecStep.value()
config['Spec_Cmap'] = self._PanSpecCmap.currentIndex()
config['Spec_CmapInv'] = self._PanSpecCmapInv.isChecked()
config['Spec_Chan'] = self._PanSpecChan.currentIndex()
config['Spec_Fstart'] = self._PanSpecFstart.value()
config['Spec_Fend'] = self._PanSpecFend.value()
config['Spec_Con'] = self._PanSpecCon.value()
config['Spec_Interp'] = self._PanSpecInterp.currentIndex()
# Hypnogram/time axis/navigation/topo/indic/zoom :
config['Hyp_Visible'] = self.menuDispHypno.isChecked()
config['Time_Visible'] = self.menuDispTimeax.isChecked()
config['Topo_Visible'] = self.menuDispTopo.isChecked()
config['Nav_Visible'] = self.menuDispNavbar.isChecked()
config['Indic_Visible'] = self.menuDispIndic.isChecked()
config['Zoom_Visible'] = self.menuDispZoom.isChecked()
config['Hyp_Lw'] = self._PanHypnoLw.value()
config['Hyp_Color'] = self._PanHypnoColor.isChecked()
# Navigation bar properties :
config['Slider'] = self._SlVal.value()
config['Step'] = self._SigSlStep.value()
config['Display_Window'] = self._SigWin.value()
config['Scoring_Window'] = self._ScorWin.value()
config['Goto'] = self._SlGoto.value()
config['Magnify'] = self._slMagnify.isChecked()
config['AbsTime'] = self._slAbsTime.isChecked()
config['Display_Scoring_Window'] = self._ScorWinVisible.isChecked()
config['Grid'] = self._slGrid.isChecked()
config['Unit'] = self._slRules.currentIndex()
save_config_json(filename, config)
def _save_info_table(self, *args, filename=None):
"""Export stat info."""
# Get file name :
if filename is None:
filename = dialog_save(self, 'Save file', 'statsinfo',
"CSV file (*.csv);;Text file (*.txt);;"
"All files (*.*)")
if filename:
file, ext = os.path.splitext(filename)
if ext.find('csv') + 1:
write_csv(file + '.csv', zip(self._keysInfo, self._valInfo))
elif ext.find('txt') + 1:
write_txt(file + '.txt', zip(self._keysInfo, self._valInfo))
def _save_config(self, *args, filename=None):
"""Save a config file (*.txt) containing several display parameters."""
if filename is None:
filename = dialog_save(self, 'Save config File', 'config',
"JSON file (*.json);;Text file (*.txt)")
if filename:
config = {}
# Get channels visibility / amplitude :
viz, amp = [], []
for i, k in enumerate(self._chanChecks):
viz.append(k.isChecked())
amp.append(self._ymaxSpin[i].value())
config['Channel_Names'] = self._channels
config['Channel_Visible'] = viz
config['Channel_Amplitude'] = amp
# config['AllAmpMin'] = self._PanAllAmpMin.value()
# config['AllAmpMax'] = self._PanAllAmpMax.value()
config['SymAmp'] = self._PanAmpSym.isChecked()
config['AutoAmp'] = self._PanAmpAuto.isChecked()
# Spectrogram :
config['Spec_Visible'] = self.menuDispSpec.isChecked()
config['Spec_Method'] = self._PanSpecMethod.currentIndex()
config['Spec_Length'] = self._PanSpecNfft.value()
config['Spec_Overlap'] = self._PanSpecStep.value()
config['Spec_Cmap'] = self._PanSpecCmap.currentIndex()
config['Spec_CmapInv'] = self._PanSpecCmapInv.isChecked()
config['Spec_Chan'] = self._PanSpecChan.currentIndex()
config['Spec_Fstart'] = self._PanSpecFstart.value()
config['Spec_Fend'] = self._PanSpecFend.value()
config['Spec_Con'] = self._PanSpecCon.value()
config['Spec_Interp'] = self._PanSpecInterp.currentIndex()
# Hypnogram/time axis/navigation/topo/indic/zoom :
config['Hyp_Visible'] = self.menuDispHypno.isChecked()
config['Time_Visible'] = self.menuDispTimeax.isChecked()
config['Topo_Visible'] = self.menuDispTopo.isChecked()
config['Nav_Visible'] = self.menuDispNavbar.isChecked()
config['Indic_Visible'] = self.menuDispIndic.isChecked()
config['Zoom_Visible'] = self.menuDispZoom.isChecked()
config['Hyp_Lw'] = self._PanHypnoLw.value()
config['Hyp_Color'] = self._PanHypnoColor.isChecked()
# Navigation bar properties :
config['Slider'] = self._SlVal.value()
config['Step'] = self._SigSlStep.value()
config['Window'] = self._SigWin.value()
config['Goto'] = self._SlGoto.value()
config['Magnify'] = self._slMagnify.isChecked()
config['AbsTime'] = self._slAbsTime.isChecked()
config['Grid'] = self._slGrid.isChecked()
config['Unit'] = self._slRules.currentIndex()
save_config_json(filename, config)
def _save_info_table(self, *args, filename=None):
"""Export stat info."""
# Get file name :
if filename is None:
filename = dialog_save(
self, 'Save file', 'statsinfo',
"CSV file (*.csv);;Text file (*.txt);;"
"All files (*.*)")
if filename:
file, ext = os.path.splitext(filename)
if ext.find('csv') + 1:
write_csv(file + '.csv', zip(self._keysInfo, self._valInfo))
elif ext.find('txt') + 1:
write_txt(file + '.txt', zip(self._keysInfo, self._valInfo))
def _save_hyp_fig(self, *args, filename=None, **kwargs):
"""Save a 600 dpi .png figure of the hypnogram."""
if filename is None:
filename = dialog_save(self, 'Save Hypnogram figure', 'hypno',
"PNG (*.png);;All files (*.*)")
if filename:
hypno = self._hypno.copy()
grid = self._slGrid.isChecked()
ascolor = self._PanHypnoColor.isChecked()
write_fig_hyp(hypno,
self._sf,
file=filename,
start_s=self._toffset,
grid=grid,
ascolor=ascolor)
def _fcn_run_screenshot(self):
"""Run the screenshot."""
# Get filename :
filename = dialog_save(self, 'Screenshot', 'screenshot', "PNG (*.PNG)"
";;TIFF (*.tiff);;JPG (*.jpg);;"
"All files (*.*)")
# Get screenshot arguments :
kwargs = self._ssGui.to_kwargs()
if kwargs['entire']: # Screenshot of the entire window
self._ssGui._ss.close()
write_fig_pyqt(self, filename)
else: # Screenshot of selected canvas
# Remove unsed entries :
del kwargs['entire']
self.screenshot(filename, **kwargs)
def _fcn_run_screenshot(self):
"""Run the screenshot."""
# Get filename :
filename = dialog_save(self, 'Screenshot', 'screenshot', "PNG (*.PNG)"
";;TIFF (*.tiff);;JPG (*.jpg);;"
"All files (*.*)")
# Get screenshot arguments :
kwargs = self._ssGui.to_kwargs()
if kwargs['entire']: # Screenshot of the entire window
self._ssGui._ss.close()
write_fig_pyqt(self, filename)
else: # Screenshot of selected canvas
# Get canvas name :
name = kwargs['canvas']
# Remove unsed entries :
del kwargs['entire'], kwargs['canvas']
if name == 'spectrogram':
# Force the spectrogram to be displayed :
self.menuDispSpec.setChecked(True)
self._disptog_spec()
# Get canvas
canvas = self._specCanvas.canvas
elif name == 'hypnogram':
# Force the spectrogram to be displayed :
self.menuDispHypno.setChecked(True)
self._disptog_hyp()
# Get canvas
canvas = self._hypCanvas.canvas
elif name == 'topoplot':
# Force the spectrogram to be displayed :
self.menuDispTopo.setChecked(True)
self._disptog_topo()
# Get canvas :
canvas = self._topoCanvas.canvas
else:
# Get the index of this channel :
kc = self._channels.index(name)
# Force the channel to be displayed :
self._chanChecks[kc].setChecked(True)
self._fcn_chan_viz()
canvas = self._chanCanvas[kc].canvas
# Finally, render the canvas :
write_fig_canvas(filename, canvas=canvas, **kwargs)
def _save_scoring_table(self, *args, filename=None):
"""Export score info."""
# Read Table
row_count = self._scoreTable.rowCount()
sta_ind, end_ind, stage = [], [], []
for row in np.arange(row_count):
sta_ind.append(str(self._scoreTable.item(row, 0).text()))
end_ind.append(str(self._scoreTable.item(row, 1).text()))
stage.append(str(self._scoreTable.item(row, 2).text()))
# Get file name :
if filename is None:
filename = dialog_save(self, 'Save file', 'scoring_info',
"CSV file (*.csv);;Text file (*.txt);;"
"All files (*.*)")
if filename:
file, ext = os.path.splitext(filename)
if ext.find('csv') + 1:
write_csv(file + '.csv', zip(sta_ind, end_ind, stage))
elif ext.find('txt') + 1:
write_txt(file + '.txt', zip(sta_ind, end_ind, stage))
def _fcn_run_screenshot(self):
"""Run the screenshot."""
# Get filename :
filename = dialog_save(self, 'Screenshot', 'screenshot', "PNG (*.PNG)"
";;TIFF (*.tiff);;JPG (*.jpg);;"
"All files (*.*)")
# Get screenshot arguments :
kwargs = self._ssGui.to_kwargs()
if kwargs['entire']: # Screenshot of the entire window
self._ssGui._ss.close()
write_fig_pyqt(self, filename)
elif kwargs['canvas'] in ['Grid', 'Signal']: # Selected canvas
# Remove unsed entries :
if kwargs['canvas'] == 'Grid':
c = self._grid_canvas.canvas
elif kwargs['canvas'] == 'Signal':
c = self._signal_canvas.canvas
del kwargs['entire'], kwargs['canvas']
write_fig_canvas(filename, c, widget=None, **kwargs)
def _save_annotation_table(self, *args, filename=None):
"""Export annotation table."""
# Read Table
row_count = self._AnnotateTable.rowCount()
sta_ind, end_ind, annot = [], [], []
for row in np.arange(row_count):
sta_ind.append(str(self._AnnotateTable.item(row, 0).text()))
end_ind.append(str(self._AnnotateTable.item(row, 1).text()))
annot.append(str(self._AnnotateTable.item(row, 2).text()))
# Get file name :
if filename is None:
filename = dialog_save(self, 'Save annotations', 'annotations',
"CSV file (*.csv);;Text file (*.txt);;"
"All files (*.*)")
if filename:
file, ext = os.path.splitext(filename)
if ext.find('csv') + 1:
write_csv(file + '.csv', zip(sta_ind, end_ind, annot))
elif ext.find('txt') + 1:
write_txt(file + '.txt', zip(sta_ind, end_ind, annot))
def saveHypData(self, *args, filename=None, reply=None): # noqa
"""Save the hypnogram data either in a hyp or txt file."""
# Define default filename for the hypnogram :
if not isinstance(self._file, str):
hyp_file = 'hypno'
else:
hyp_file = os.path.basename(self._file) + '_hypno'
# Version switch :
if reply is None:
msg = ("Since release 0.4, hypnogram are exported using stage "
"duration rather than point-per-second. This new format "
"avoids potential errors caused by downsampling and "
"confusion in the values assigned to each sleep stage. \n\n"
"Click 'Yes' to use the new format and 'No' to use the old "
"format. For more information, visit the doc at "
"visbrain.org/sleep")
reply = QtWidgets.QMessageBox.question(self, 'Message', msg,
QtWidgets.QMessageBox.Yes,
QtWidgets.QMessageBox.No)
if reply == QtWidgets.QMessageBox.No: # v1 = sample
dialog_ext = "Text file (*.txt);;Elan file (*.hyp)"
version = 'sample'
else: # v2 = time
dialog_ext = ("Text file (*.txt);;Csv file (*.csv);;Excel file "
"(*.xlsx)")
version = 'time'
# Open dialog window :
if filename is None:
filename = dialog_save(self, 'Save File', hyp_file,
dialog_ext + ";;All files (*.*)")
if filename:
info = {'Duration_sec': self._N * 1 / self._sfori}
if isinstance(self._file, str):
info['Datafile'] = self._file
write_hypno(filename,
self._hypno,
version=version,
sf=self._sfori,
npts=self._N,
time=self._time,
info=info)
def _save_scoring_table(self, *args, filename=None):
"""Export score info."""
# Read Table
row_count = self._scoreTable.rowCount()
sta_ind, end_ind, stage = [], [], []
for row in np.arange(row_count):
sta_ind.append(str(self._scoreTable.item(row, 0).text()))
end_ind.append(str(self._scoreTable.item(row, 1).text()))
stage.append(str(self._scoreTable.item(row, 2).text()))
# Get file name :
if filename is None:
filename = dialog_save(
self, 'Save file', 'scoring_info',
"CSV file (*.csv);;Text file (*.txt);;"
"All files (*.*)")
if filename:
file, ext = os.path.splitext(filename)
if ext.find('csv') + 1:
write_csv(file + '.csv', zip(sta_ind, end_ind, stage))
elif ext.find('txt') + 1:
write_txt(file + '.txt', zip(sta_ind, end_ind, stage))
def _save_annotation_table(self, *args, filename=None):
"""Export annotation table."""
# Read Table
row_count = self._AnnotateTable.rowCount()
sta_ind, end_ind, annot = [], [], []
for row in np.arange(row_count):
sta_ind.append(str(self._AnnotateTable.item(row, 0).text()))
end_ind.append(str(self._AnnotateTable.item(row, 1).text()))
annot.append(str(self._AnnotateTable.item(row, 2).text()))
# Get file name :
if filename is None:
filename = dialog_save(
self, 'Save annotations', 'annotations',
"CSV file (*.csv);;Text file (*.txt);;"
"All files (*.*)")
if filename:
file, ext = os.path.splitext(filename)
if ext.find('csv') + 1:
write_csv(file + '.csv', zip(sta_ind, end_ind, annot))
elif ext.find('txt') + 1:
write_txt(file + '.txt', zip(sta_ind, end_ind, annot))
def _fcn_run_screenshot(self):
"""Run the screenshot."""
# Get filename :
filename = dialog_save(
self, 'Screenshot', 'screenshot', "PNG (*.PNG)"
";;TIFF (*.tiff);;JPG (*.jpg);;"
"All files (*.*)")
# Get screenshot arguments :
kwargs = self._ssGui.to_kwargs()
if kwargs['entire']: # Screenshot of the entire window
self._ssGui._ss.close()
write_fig_pyqt(self, filename)
elif kwargs['canvas'] in ['Grid', 'Signal']: # Selected canvas
# Remove unsed entries :
if kwargs['canvas'] == 'Grid':
c = self._grid_canvas.canvas
elif kwargs['canvas'] == 'Signal':
c = self._signal_canvas.canvas
del kwargs['entire'], kwargs['canvas']
write_fig_canvas(filename, c, widget=None, **kwargs)
def _fcn_save_annotations(self, *args, filename=None):
"""Save annotations."""
# Read Table
row_count = self._annot_table.rowCount()
time, amp, signal, text = [], [], [], []
for row in range(row_count):
time.append(self._annot_table.item(row, 0).text())
amp.append(self._annot_table.item(row, 1).text())
signal.append(self._annot_table.item(row, 2).text())
text.append(self._annot_table.item(row, 3).text())
# Get file name :
if filename is None:
filename = dialog_save(self, 'Save annotations', 'annotations',
"CSV file (*.csv);;Text file (*.txt);;"
"All files (*.*)")
if filename:
kw = {'delimiter': '_'}
file, ext = os.path.splitext(filename)
if ext.find('csv') + 1:
write_csv(file + '.csv', zip(time, amp, signal, text), **kw)
elif ext.find('txt') + 1:
write_txt(file + '.txt', zip(time, amp, signal, text), **kw)
def _fcn_save_annotations(self, *args, filename=None):
"""Save annotations."""
# Read Table
row_count = self._annot_table.rowCount()
time, amp, signal, text = [], [], [], []
for row in range(row_count):
time.append(self._annot_table.item(row, 0).text())
amp.append(self._annot_table.item(row, 1).text())
signal.append(self._annot_table.item(row, 2).text())
text.append(self._annot_table.item(row, 3).text())
# Get file name :
if filename is None:
filename = dialog_save(
self, 'Save annotations', 'annotations',
"CSV file (*.csv);;Text file (*.txt);;"
"All files (*.*)")
if filename:
kw = {'delimiter': '_'}
file, ext = os.path.splitext(filename)
if ext.find('csv') + 1:
write_csv(file + '.csv', zip(time, amp, signal, text), **kw)
elif ext.find('txt') + 1:
write_txt(file + '.txt', zip(time, amp, signal, text), **kw)
def saveHypData(self, *args, filename=None, reply=None): # noqa
"""Save the hypnogram data either in a hyp or txt file."""
# Define default filename for the hypnogram :
if not isinstance(self._file, str):
hyp_file = 'hypno'
else:
hyp_file = os.path.basename(self._file) + '_hypno'
# Version switch :
if reply is None:
msg = ("Since release 0.4, hypnogram are exported using stage "
"duration rather than point-per-second. This new format "
"avoids potential errors caused by downsampling and "
"confusion in the values assigned to each sleep stage. \n\n"
"Click 'Yes' to use the new format and 'No' to use the old "
"format. For more information, visit the doc at "
"visbrain.org/sleep")
reply = QtWidgets.QMessageBox.question(self, 'Message', msg,
QtWidgets.QMessageBox.Yes,
QtWidgets.QMessageBox.No)
if reply == QtWidgets.QMessageBox.No: # v1 = sample
dialog_ext = "Text file (*.txt);;Elan file (*.hyp)"
version = 'sample'
else: # v2 = time
dialog_ext = ("Text file (*.txt);;Csv file (*.csv);;Excel file "
"(*.xlsx)")
version = 'time'
# Open dialog window :
if filename is None:
filename = dialog_save(self, 'Save File', hyp_file, dialog_ext +
";;All files (*.*)")
if filename:
info = {'Duration_sec': self._N * 1 / self._sfori}
if isinstance(self._file, str):
info['Datafile'] = self._file
write_hypno(filename, self._hypno, version=version, sf=self._sfori,
npts=self._N, time=self._time, info=info)
def _fcn_save_config(self, _, filename=None):
"""Save the configuration."""
# Get the name of the file to be saved :
if filename is None:
filename = dialog_save(self, 'Save config File', 'config',
"Text file (*.txt);;All files (*.*)")
if filename:
config = {}
# ----------------- VISIBLE OBJECTS -----------------
config['SettingViz'] = self.menuDispQuickSettings.isChecked()
config['EngramViz'] = self.menuDispEngram.isChecked()
config['SourcesViz'] = self.menuDispSources.isChecked()
config['ConnectViz'] = self.menuDispConnect.isChecked()
config['ROIViz'] = self.menuDispROI.isChecked()
config['CbarViz'] = self.menuDispCbar.isChecked()
# ----------------- CAMERAS -----------------
config['CamState'] = self.view.wc.camera.get_state()
rect = self.cbqt.cbviz._wc.camera.rect
config['CamCbState'] = list(rect.pos) + list(rect.size)
# ----------------- GUI SETTINGS -----------------
# Background color :
bgd = (self.bgd_red.value(), self.bgd_green.value(),
self.bgd_blue.value())
config['BcgColor'] = bgd
# Tab :
config['CurrentTab'] = self.QuickSettings.currentIndex()
# ----------------- ENGRAM -----------------
# Surroundings :
config['EngramTransp'] = self._engram_translucent.isChecked()
config['EngramHemi'] = self._engramPickHemi.currentIndex()
config['EngramTemplate'] = self._engramTemplate.currentIndex()
# ROI :
config['RoiTransp'] = self._roiTransp.isChecked()
config['RoiAnat'] = self._roiDiv.currentIndex()
config['RoiSmooth'] = self._roiSmooth.value()
config['RoiStruct'] = self._fcn_get_selected_rois()
# Cross-sections :
config['CsSagit'] = self._csSagit.value()
config['CsCoron'] = self._csCoron.value()
config['CsAxial'] = self._csAxial.value()
config['CsDiv'] = self._csDiv.currentIndex()
config['CsCmap'] = self._csCmap.currentIndex()
config['CsTransp'] = self._csTransp.isChecked()
config['CsSplit'] = self._csSplit.isChecked()
config['CsGrp'] = self.grpSec.isChecked()
# Volume :
config['VolDiv'] = self._volDiv.currentIndex()
config['VolRendering'] = self._volRendering.currentIndex()
config['VolCmap'] = self._volCmap.currentIndex()
config['VolTh'] = self._volIsoTh.value()
config['VolGrp'] = self.grpVol.isChecked()
# ----------------- SOURCES -----------------
# Sources object :
config['SourcesDisp'] = self._sourcesPickdisp.currentIndex()
config['SourcesSym'] = self.s_Symbol.currentIndex()
config['SourcesRm'] = self.s_radiusMin.value()
config['SourcesRM'] = self.s_radiusMax.value()
config['SourcesEcol'] = color2json(self.s_EdgeColor, False)
config['SourcesEw'] = self.s_EdgeWidth.value()
config['SourcesScale'] = self.s_Scaling.isChecked()
# Source's text :
config['StextShow'] = self.grpText.isChecked()
config['StextSz'] = self.q_stextsize.value()
config['StextCol'] = color2json(self.q_stextcolor)
config['StextXYZ'] = (self.x_text.value(), self.y_text.value(),
self.z_text.value())
# Source's projection settings :
config['SprojRad'] = self._uitRadius.value()
config['SprojType'] = self._uitPickProj.currentIndex()
config['SprojOn'] = self._uitProjectOn.currentIndex()
config['SprojCon'] = self._uitContribute.isChecked()
# Source's time-series :
config['StsWidth'] = self._tsWidth.value()
config['StsAmp'] = self._tsAmp.value()
config['StsLw'] = self._tsLw.value()
config['StsDxyz'] = (self._tsDx.value(), self._tsDy.value(),
self._tsDz.value())
config['StsColor'] = color2json(self._tsColor)
# ----------------- CONNECTIVITY -----------------
config['ConnectCby'] = self.uiConnect_colorby.currentIndex()
config['ConnectAlp'] = self._connectStaDynTransp.currentIndex()
config['ConnectMin'] = self.uiConnect_dynMin.value()
config['ConnectMax'] = self.uiConnect_dynMax.value()
config['ConnectRad'] = self._densityRadius.value()
config['ConnectLw'] = self.uiConnect_lw.value()
config['ConnectBun'] = self._conBlEnable.isChecked()
config['ConnectBunRad'] = self._conBlRadius.value()
config['ConnectBunDxyz'] = self._conBlDxyz.value()
# ----------------- CBAR -----------------
# Visual:
config['Cbar'] = self.cbqt.cbobjs.to_dict(alldicts=True)
config['CbarIdx'] = self.cbqt.cbui.object.currentIndex()
# Write the configuration into a json file :
save_config_json(filename, config)
