def plot_histo(self,
beam_out,
progressBarValue,
var,
plot_canvas_index,
title,
xtitle,
ytitle,
xum=""):
if self.plot_canvas[plot_canvas_index] is None:
self.plot_canvas[
plot_canvas_index] = ShadowPlot.DetailedHistoWidget()
self.tab[plot_canvas_index].layout().addWidget(
self.plot_canvas[plot_canvas_index])
self.plot_canvas[plot_canvas_index].plot_histo(
beam_out._beam,
var,
1,
None,
23,
title,
xtitle,
ytitle,
xum=xum,
conv=self.workspace_units_to_cm)
self.progressBarSet(progressBarValue)
def replace_fig(self, beam, var, xrange, title, xtitle, ytitle, xum):
if self.plot_canvas is None:
if self.iterative_mode < 2:
self.plot_canvas = ShadowPlot.DetailedHistoWidget(
y_scale_factor=1.14)
else:
if self.plot_type == 0:
self.plot_canvas = ScanHistoWidget(
self.workspace_units_to_cm)
elif self.plot_type == 1:
self.plot_canvas = Scan3DHistoWidget(
self.workspace_units_to_cm,
type=Scan3DHistoWidget.PlotType.LINES
if self.plot_type_3D == 0 else
Scan3DHistoWidget.PlotType.SURFACE)
self.plot_canvas_stats = DoublePlotWidget(parent=None)
self.image_box_stats.layout().addWidget(self.plot_canvas_stats)
self.image_box.layout().addWidget(self.plot_canvas)
if self.iterative_mode == 0:
self.last_ticket = None
self.current_histo_data = None
self.current_stats = None
self.last_histo_data = None
self.histo_index = -1
self.plot_canvas.plot_histo(beam._beam,
var,
self.rays,
xrange,
self.weight_column_index,
title,
xtitle,
ytitle,
nbins=self.number_of_bins,
xum=xum,
conv=self.workspace_units_to_cm)
elif self.iterative_mode == 1:
self.current_histo_data = None
self.current_stats = None
self.last_histo_data = None
self.histo_index = -1
self.last_ticket = self.plot_canvas.plot_histo(
beam._beam,
var,
self.rays,
xrange,
self.weight_column_index,
title,
xtitle,
ytitle,
nbins=self.number_of_bins,
xum=xum,
conv=self.workspace_units_to_cm,
ticket_to_add=self.last_ticket)
else:
if not beam.scanned_variable_data is None:
self.last_ticket = None
self.histo_index += 1
um = beam.scanned_variable_data.get_scanned_variable_um()
um = " " + um if um.strip() == "" else " [" + um + "]"
histo_data = self.plot_canvas.plot_histo(
beam=beam,
col=var,
nbins=self.number_of_bins,
title=title,
xtitle=xtitle,
ytitle=ytitle,
histo_index=self.histo_index,
scan_variable_name=beam.scanned_variable_data.
get_scanned_variable_display_name() + um,
scan_variable_value=beam.scanned_variable_data.
get_scanned_variable_value(),
offset=0.0 if self.last_histo_data is None else
self.last_histo_data.offset,
xrange=xrange,
show_reference=False,
add_labels=self.add_labels == 1,
has_colormap=self.has_colormap == 1)
scanned_variable_value = beam.scanned_variable_data.get_scanned_variable_value(
)
if isinstance(scanned_variable_value, str):
histo_data.scan_value = self.histo_index + 1
else:
histo_data.scan_value = beam.scanned_variable_data.get_scanned_variable_value(
)
if not histo_data.bins is None:
if self.current_histo_data is None:
self.current_histo_data = HistogramDataCollection(
histo_data)
else:
self.current_histo_data.add_histogram_data(histo_data)
if self.current_stats is None:
self.current_stats = StatisticalDataCollection(histo_data)
else:
self.current_stats.add_statistical_data(histo_data)
self.last_histo_data = histo_data
if self.sigma_fwhm_size == 0:
sizes = self.current_stats.get_sigmas()
label_size = "Sigma " + xum
else:
sizes = self.current_stats.get_fwhms()
label_size = "FWHM " + xum
if self.absolute_relative_intensity == 0: #relative
if self.peak_integral_intensity == 0: # peak
intensities = self.current_stats.get_relative_peak_intensities(
)
label_intensity = "Relative Peak Intensity"
else:
intensities = self.current_stats.get_relative_integral_intensities(
)
label_intensity = "Relative Integral Intensity"
else:
if self.peak_integral_intensity == 0: # peak
intensities = self.current_stats.get_absolute_peak_intensities(
)
label_intensity = "Absolute Peak Intensity"
else:
intensities = self.current_stats.get_absolute_integral_intensities(
)
label_intensity = "Absolute Integral Intensity"
self.plot_canvas_stats.plotCurves(
self.current_stats.get_scan_values(), sizes, intensities,
"Statistics",
beam.scanned_variable_data.
get_scanned_variable_display_name() + um, label_size,
label_intensity)
def replace_fig(self, beam, var, xrange, title, xtitle, ytitle, xum):
if self.plot_canvas is None:
self.plot_canvas = ShadowPlot.DetailedHistoWidget(
y_scale_factor=1.14)
self.image_box.layout().addWidget(self.plot_canvas)
try:
if self.autosave == 1:
if self.autosave_file is None:
self.autosave_file = ShadowPlot.HistogramHdf5File(
congruence.checkDir(self.autosave_file_name))
elif self.autosave_file.filename != congruence.checkFileName(
self.autosave_file_name):
self.autosave_file.close()
self.autosave_file = ShadowPlot.HistogramHdf5File(
congruence.checkDir(self.autosave_file_name))
if self.keep_result == 1:
self.cumulated_ticket, last_ticket = self.plot_canvas.plot_histo(
beam,
var,
self.rays,
xrange,
self.weight_column_index,
title,
xtitle,
ytitle,
nbins=self.number_of_bins,
xum=xum,
conv=self.workspace_units_to_cm,
ticket_to_add=self.cumulated_ticket)
self.plotted_ticket = self.cumulated_ticket
if self.autosave == 1:
self.autosave_prog_id += 1
self.autosave_file.write_coordinates(self.cumulated_ticket)
dataset_name = self.weight_column.itemText(
self.weight_column_index)
self.autosave_file.add_histogram(self.cumulated_ticket,
dataset_name=dataset_name)
if self.autosave_partial_results == 1:
if last_ticket is None:
self.autosave_file.add_histogram(
self.cumulated_ticket,
plot_name="Histogram #" +
str(self.autosave_prog_id),
dataset_name=dataset_name)
else:
self.autosave_file.add_histogram(
last_ticket,
plot_name="Histogram #" +
str(self.autosave_prog_id),
dataset_name=dataset_name)
self.autosave_file.flush()
else:
ticket, _ = self.plot_canvas.plot_histo(
beam,
var,
self.rays,
xrange,
self.weight_column_index,
title,
xtitle,
ytitle,
nbins=self.number_of_bins,
xum=xum,
conv=self.workspace_units_to_cm)
self.cumulated_ticket = None
self.plotted_ticket = ticket
if self.autosave == 1:
self.autosave_prog_id += 1
self.autosave_file.write_coordinates(ticket)
self.autosave_file.add_histogram(
ticket,
dataset_name=self.weight_column.itemText(
self.weight_column_index))
self.autosave_file.flush()
except Exception as e:
if not self.IS_DEVELOP:
raise Exception(
"Data not plottable: No good rays or bad content")
else:
raise e
def replace_fig(self, beam, var, xrange, title, xtitle, ytitle, xum):
if self.plot_canvas is None:
if self.iterative_mode < 2:
self.plot_canvas = ShadowPlot.DetailedHistoWidget(
y_scale_factor=1.14)
else:
if self.plot_type == 0:
self.plot_canvas = ScanHistoWidget(
self.workspace_units_to_cm)
elif self.plot_type == 1:
self.plot_canvas = Scan3DHistoWidget(
self.workspace_units_to_cm,
type=Scan3DHistoWidget.PlotType.LINES
if self.plot_type_3D == 0 else
Scan3DHistoWidget.PlotType.SURFACE)
self.plot_canvas_stats = DoublePlotWidget(parent=None)
self.image_box_stats.layout().addWidget(self.plot_canvas_stats)
self.image_box.layout().addWidget(self.plot_canvas)
try:
if self.iterative_mode == 0:
self.last_ticket = None
self.current_histo_data = None
self.current_stats = None
self.last_histo_data = None
self.histo_index = -1
self.plot_canvas.plot_histo(beam._beam,
var,
self.rays,
xrange,
self.weight_column_index,
title,
xtitle,
ytitle,
nbins=self.number_of_bins,
xum=xum,
conv=self.workspace_units_to_cm)
elif self.iterative_mode == 1:
self.current_histo_data = None
self.current_stats = None
self.last_histo_data = None
self.histo_index = -1
self.last_ticket = self.plot_canvas.plot_histo(
beam._beam,
var,
self.rays,
xrange,
self.weight_column_index,
title,
xtitle,
ytitle,
nbins=self.number_of_bins,
xum=xum,
conv=self.workspace_units_to_cm,
ticket_to_add=self.last_ticket)
else:
if not beam.scanned_variable_data is None:
self.last_ticket = None
self.histo_index += 1
histo_data = self.plot_canvas.plot_histo(
beam=beam,
col=var,
nbins=self.number_of_bins,
title=title,
xtitle=xtitle,
ytitle=ytitle,
histo_index=self.histo_index,
scan_variable_name=beam.scanned_variable_data.
get_scanned_variable_display_name() + " [" +
beam.scanned_variable_data.get_scanned_variable_um() +
"]",
scan_variable_value=beam.scanned_variable_data.
get_scanned_variable_value(),
offset=0.0 if self.last_histo_data is None else
self.last_histo_data.offset,
xrange=xrange,
show_reference=False,
add_labels=self.add_labels == 1,
has_colormap=self.has_colormap == 1)
histo_data.scan_value = beam.scanned_variable_data.get_scanned_variable_value(
)
if not histo_data.bins is None:
if self.current_histo_data is None:
self.current_histo_data = HistogramDataCollection(
histo_data)
else:
self.current_histo_data.add_histogram_data(
histo_data)
if self.current_stats is None:
self.current_stats = StatisticalDataCollection(
histo_data)
else:
self.current_stats.add_statistical_data(histo_data)
self.last_histo_data = histo_data
self.plot_canvas_stats.plotCurves(
self.current_stats.get_scan_values(),
self.current_stats.get_sigmas() if self.stats_to_plot
== 0 else self.current_stats.get_fwhms(),
self.current_stats.get_relative_intensities(),
"Statistics",
beam.scanned_variable_data.
get_scanned_variable_display_name() + " [" +
beam.scanned_variable_data.get_scanned_variable_um() +
"]", "Sigma " +
xum if self.stats_to_plot == 0 else "FWHM " + xum,
"Relative Peak Intensity")
except Exception as e:
if self.IS_DEVELOP: raise e
else:
raise Exception(
"Data not plottable: No good rays or bad content")