pr.py @ b5cc06e

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalc

Last change on this file since b5cc06e was fa81e94, checked in by Piotr Rozyczko <rozyczko@…>, 7 years ago
Initial commit of the P(r) inversion perspective. Code merged from Jeff Krzywon's ESS_GUI_Pr branch. Also, minor 2to3 mods to sascalc/sasgui to enble error free setup.
Property mode set to `100755`
File size: 46.1 KB

Rev	Line
[959eb01]	1	"""
	2	P(r) perspective for SasView
	3	"""
	4	################################################################################
	5	#This software was developed by the University of Tennessee as part of the
	6	#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
	7	#project funded by the US National Science Foundation.
	8	#
	9	#See the license text in license.txt
	10	#
	11	#copyright 2009, University of Tennessee
	12	################################################################################
	13
	14
	15	# Make sure the option of saving each curve is available
	16	# Use the I(q) curve as input and compare the output to P(r)
[fa81e94]	17
[959eb01]	18
	19	import sys
	20	import wx
	21	import logging
	22	import time
	23	import math
	24	import numpy as np
	25	import pylab
	26	from sas.sasgui.guiframe.gui_manager import MDIFrame
	27	from sas.sasgui.guiframe.dataFitting import Data1D
	28	from sas.sasgui.guiframe.events import NewPlotEvent
	29	from sas.sasgui.guiframe.events import StatusEvent
	30	from sas.sasgui.guiframe.gui_style import GUIFRAME_ID
	31	from sas.sascalc.pr.invertor import Invertor
	32	from sas.sascalc.dataloader.loader import Loader
	33	import sas.sascalc.dataloader
	34
[fa81e94]	35	from .pr_widgets import load_error
[959eb01]	36	from sas.sasgui.guiframe.plugin_base import PluginBase
	37
	38	logger = logging.getLogger(__name__)
	39
	40
	41	PR_FIT_LABEL = r"$P_{fit}(r)$"
	42	PR_LOADED_LABEL = r"$P_{loaded}(r)$"
	43	IQ_DATA_LABEL = r"$I_{obs}(q)$"
	44	IQ_FIT_LABEL = r"$I_{fit}(q)$"
	45	IQ_SMEARED_LABEL = r"$I_{smeared}(q)$"
	46	GROUP_ID_IQ_DATA = r"$I_{obs}(q)$"
	47	GROUP_ID_PR_FIT = r"$P_{fit}(r)$"
	48
	49
	50
	51	class Plugin(PluginBase):
	52	"""
	53	P(r) inversion perspective
	54	"""
	55	DEFAULT_ALPHA = 0.0001
	56	DEFAULT_NFUNC = 10
	57	DEFAULT_DMAX = 140.0
	58
	59	def __init__(self):
	60	PluginBase.__init__(self, name="Pr Inversion")
	61	## Simulation window manager
	62	self.simview = None
	63
	64	## State data
	65	self.alpha = self.DEFAULT_ALPHA
	66	self.nfunc = self.DEFAULT_NFUNC
	67	self.max_length = self.DEFAULT_DMAX
	68	self.q_min = None
	69	self.q_max = None
[cb62bd5]	70	self.est_bck = False
	71	self.bck_val = 0
[959eb01]	72	self.slit_height = 0
	73	self.slit_width = 0
	74	## Remember last plottable processed
	75	self.last_data = ""
	76	self._current_file_data = None
	77	## Time elapsed for last computation [sec]
	78	# Start with a good default
	79	self.elapsed = 0.022
	80	self.iq_data_shown = False
	81
	82	## Current invertor
	83	self.invertor = None
	84	self.pr = None
	85	self.data_id = IQ_DATA_LABEL
	86	# Copy of the last result in case we need to display it.
	87	self._last_pr = None
	88	self._last_out = None
	89	self._last_cov = None
	90	## Calculation thread
	91	self.calc_thread = None
	92	## Estimation thread
	93	self.estimation_thread = None
	94	## Result panel
	95	self.control_panel = None
	96	## Currently views plottable
	97	self.current_plottable = None
	98	## Number of P(r) points to display on the output plot
	99	self._pr_npts = 51
	100	self._normalize_output = False
	101	self._scale_output_unity = False
	102
	103	## List of added P(r) plots
	104	self._added_plots = {}
	105	self._default_Iq = {}
	106	self.list_plot_id = []
	107
	108	# Associate the inversion state reader with .prv files
[fa81e94]	109	from .inversion_state import Reader
[959eb01]	110
	111	# Create a CanSAS/Pr reader
	112	self.state_reader = Reader(self.set_state)
	113	self._extensions = '.prv'
	114	l = Loader()
	115	l.associate_file_reader('.prv', self.state_reader)
	116	#l.associate_file_reader(".svs", self.state_reader)
	117
	118	# Log startup
	119	logger.info("Pr(r) plug-in started")
	120
	121	def delete_data(self, data_id):
	122	"""
	123	delete the data association with prview
	124	"""
	125	self.control_panel.clear_panel()
	126
	127	def get_data(self):
	128	"""
	129	Returns the current data
	130	"""
	131	return self.current_plottable
	132
	133	def set_state(self, state=None, datainfo=None):
	134	"""
	135	Call-back method for the inversion state reader.
	136	This method is called when a .prv file is loaded.
	137
	138	:param state: InversionState object
	139	:param datainfo: Data1D object [optional]
	140
	141	"""
	142	try:
	143	if datainfo.__class__.__name__ == 'list':
	144	if len(datainfo) >= 1:
	145	data = datainfo[0]
	146	else:
	147	data = None
	148	else:
	149	data = datainfo
	150	if data is None:
	151	msg = "Pr.set_state: datainfo parameter cannot "
	152	msg += "be None in standalone mode"
[fa81e94]	153	raise RuntimeError(msg)
[959eb01]	154
	155	# Ensuring that plots are coordinated correctly
	156	t = time.localtime(data.meta_data['prstate'].timestamp)
	157	time_str = time.strftime("%b %d %H:%M", t)
	158
	159	# Check that no time stamp is already appended
	160	max_char = data.meta_data['prstate'].file.find("[")
	161	if max_char < 0:
	162	max_char = len(data.meta_data['prstate'].file)
	163
	164	datainfo.meta_data['prstate'].file = \
	165	data.meta_data['prstate'].file[0:max_char]\
	166	+ ' [' + time_str + ']'
	167
	168	data.filename = data.meta_data['prstate'].file
	169	# TODO:
	170	#remove this call when state save all information about the gui data
	171	# such as ID , Group_ID, etc...
	172	#make self.current_plottable = datainfo directly
	173	self.current_plottable = self.parent.create_gui_data(data, None)
	174	self.current_plottable.group_id = data.meta_data['prstate'].file
	175
	176	# Make sure the user sees the P(r) panel after loading
	177	#self.parent.set_perspective(self.perspective)
	178	self.on_perspective(event=None)
	179	# Load the P(r) results
	180	#state = self.state_reader.get_state()
	181	data_dict = {self.current_plottable.id:self.current_plottable}
	182	self.parent.add_data(data_list=data_dict)
	183	wx.PostEvent(self.parent, NewPlotEvent(plot=self.current_plottable,
	184	title=self.current_plottable.title))
	185	self.control_panel.set_state(state)
	186	except:
[fa81e94]	187	logger.error("prview.set_state: %s" % sys.exc_info()[1])
[959eb01]	188
	189
	190	def help(self, evt):
	191	"""
	192	Show a general help dialog.
	193
	194	:TODO: replace the text with a nice image
	195
	196	"""
[fa81e94]	197	from .inversion_panel import HelpDialog
[959eb01]	198	dialog = HelpDialog(None, -1)
	199	if dialog.ShowModal() == wx.ID_OK:
	200	dialog.Destroy()
	201	else:
	202	dialog.Destroy()
	203
	204	def _fit_pr(self, evt):
	205	"""
	206	"""
	207	# Generate P(r) for sphere
	208	radius = 60.0
	209	d_max = 2 * radius
	210
	211	r = pylab.arange(0.01, d_max, d_max / 51.0)
	212	M = len(r)
	213	y = np.zeros(M)
	214	pr_err = np.zeros(M)
	215
	216	total = 0.0
	217	for j in range(M):
	218	value = self.pr_theory(r[j], radius)
	219	total += value
	220	y[j] = value
	221	pr_err[j] = math.sqrt(y[j])
	222
	223	y = y / total * d_max / len(r)
	224
	225	# Perform fit
	226	pr = Invertor()
	227	pr.d_max = d_max
	228	pr.alpha = 0
	229	pr.x = r
	230	pr.y = y
	231	pr.err = pr_err
	232	out, cov = pr.pr_fit()
	233	for i in range(len(out)):
[9c3d784]	234	print("%g +- %g" % (out[i], math.sqrt(cov[i][i])))
[959eb01]	235
	236	# Show input P(r)
	237	title = "Pr"
	238	new_plot = Data1D(pr.x, pr.y, dy=pr.err)
	239	new_plot.name = "P_{obs}(r)"
	240	new_plot.xaxis("\\rm{r}", 'A')
	241	new_plot.yaxis("\\rm{P(r)} ", "cm^{-3}")
	242	new_plot.group_id = "P_{obs}(r)"
	243	new_plot.id = "P_{obs}(r)"
	244	new_plot.title = title
	245	self.parent.update_theory(data_id=self.data_id, theory=new_plot)
	246	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))
	247
	248	# Show P(r) fit
	249	self.show_pr(out, pr)
	250
	251	# Show I(q) fit
	252	q = pylab.arange(0.001, 0.1, 0.01 / 51.0)
	253	self.show_iq(out, pr, q)
	254
	255	def show_shpere(self, x, radius=70.0, x_range=70.0):
	256	"""
	257	"""
	258	# Show P(r)
	259	y_true = np.zeros(len(x))
	260
	261	sum_true = 0.0
	262	for i in range(len(x)):
	263	y_true[i] = self.pr_theory(x[i], radius)
	264	sum_true += y_true[i]
	265
	266	y_true = y_true / sum_true * x_range / len(x)
	267
	268	# Show the theory P(r)
	269	new_plot = Data1D(x, y_true)
	270	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
	271	new_plot.name = "P_{true}(r)"
	272	new_plot.xaxis("\\rm{r}", 'A')
	273	new_plot.yaxis("\\rm{P(r)} ", "cm^{-3}")
	274	new_plot.id = "P_{true}(r)"
	275	new_plot.group_id = "P_{true}(r)"
	276	self.parent.update_theory(data_id=self.data_id, theory=new_plot)
	277	#Put this call in plottables/guitools
	278	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	279	title="Sphere P(r)"))
	280
	281	def get_npts(self):
	282	"""
	283	Returns the number of points in the I(q) data
	284	"""
	285	try:
	286	return len(self.pr.x)
	287	except:
	288	return 0
	289
	290	def show_iq(self, out, pr, q=None):
	291	"""
	292	Display computed I(q)
	293	"""
	294	qtemp = pr.x
[ac07a3a]	295	if q is not None:
[959eb01]	296	qtemp = q
	297
	298	# Make a plot
	299	maxq = -1
	300	for q_i in qtemp:
	301	if q_i > maxq:
	302	maxq = q_i
	303
	304	minq = 0.001
	305
	306	# Check for user min/max
[ac07a3a]	307	if pr.q_min is not None:
[959eb01]	308	minq = pr.q_min
[ac07a3a]	309	if pr.q_max is not None:
[959eb01]	310	maxq = pr.q_max
	311
	312	x = pylab.arange(minq, maxq, maxq / 301.0)
	313	y = np.zeros(len(x))
	314	err = np.zeros(len(x))
	315	for i in range(len(x)):
	316	value = pr.iq(out, x[i])
	317	y[i] = value
	318	try:
	319	err[i] = math.sqrt(math.fabs(value))
	320	except:
	321	err[i] = 1.0
[9c3d784]	322	print("Error getting error", value, x[i])
[959eb01]	323
	324	new_plot = Data1D(x, y)
	325	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
	326	new_plot.name = IQ_FIT_LABEL
	327	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	328	new_plot.yaxis("\\rm{Intensity} ", "cm^{-1}")
	329	title = "I(q)"
	330	new_plot.title = title
	331
	332	# If we have a group ID, use it
	333	if 'plot_group_id' in pr.info:
	334	new_plot.group_id = pr.info["plot_group_id"]
	335	new_plot.id = IQ_FIT_LABEL
	336	self.parent.update_theory(data_id=self.data_id, theory=new_plot)
	337
	338	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))
	339
	340	# If we have used slit smearing, plot the smeared I(q) too
	341	if pr.slit_width > 0 or pr.slit_height > 0:
	342	x = pylab.arange(minq, maxq, maxq / 301.0)
	343	y = np.zeros(len(x))
	344	err = np.zeros(len(x))
	345	for i in range(len(x)):
	346	value = pr.iq_smeared(out, x[i])
	347	y[i] = value
	348	try:
	349	err[i] = math.sqrt(math.fabs(value))
	350	except:
	351	err[i] = 1.0
	352	print("Error getting error", value, x[i])
	353
	354	new_plot = Data1D(x, y)
	355	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
	356	new_plot.name = IQ_SMEARED_LABEL
	357	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	358	new_plot.yaxis("\\rm{Intensity} ", "cm^{-1}")
	359	# If we have a group ID, use it
	360	if 'plot_group_id' in pr.info:
	361	new_plot.group_id = pr.info["plot_group_id"]
	362	new_plot.id = IQ_SMEARED_LABEL
	363	new_plot.title = title
	364	self.parent.update_theory(data_id=self.data_id, theory=new_plot)
	365	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))
	366
	367	def _on_pr_npts(self, evt):
	368	"""
	369	Redisplay P(r) with a different number of points
	370	"""
[fa81e94]	371	from .inversion_panel import PrDistDialog
[959eb01]	372	dialog = PrDistDialog(None, -1)
	373	dialog.set_content(self._pr_npts)
	374	if dialog.ShowModal() == wx.ID_OK:
	375	self._pr_npts = dialog.get_content()
	376	dialog.Destroy()
	377	self.show_pr(self._last_out, self._last_pr, self._last_cov)
	378	else:
	379	dialog.Destroy()
	380
	381
	382	def show_pr(self, out, pr, cov=None):
	383	"""
	384	"""
	385	# Show P(r)
	386	x = pylab.arange(0.0, pr.d_max, pr.d_max / self._pr_npts)
	387
	388	y = np.zeros(len(x))
	389	dy = np.zeros(len(x))
	390	y_true = np.zeros(len(x))
	391
	392	total = 0.0
	393	pmax = 0.0
	394	cov2 = np.ascontiguousarray(cov)
	395
	396	for i in range(len(x)):
[235f514]	397	if cov2 is None:
[959eb01]	398	value = pr.pr(out, x[i])
	399	else:
	400	(value, dy[i]) = pr.pr_err(out, cov2, x[i])
	401	total += value * pr.d_max / len(x)
	402
	403	# keep track of the maximum P(r) value
	404	if value > pmax:
	405	pmax = value
	406
	407	y[i] = value
	408
	409	if self._normalize_output == True:
	410	y = y / total
	411	dy = dy / total
	412	elif self._scale_output_unity == True:
	413	y = y / pmax
	414	dy = dy / pmax
	415
[235f514]	416	if cov2 is None:
[959eb01]	417	new_plot = Data1D(x, y)
	418	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
	419	else:
	420	new_plot = Data1D(x, y, dy=dy)
	421	new_plot.name = PR_FIT_LABEL
	422	new_plot.xaxis("\\rm{r}", 'A')
	423	new_plot.yaxis("\\rm{P(r)} ", "cm^{-3}")
	424	new_plot.title = "P(r) fit"
	425	new_plot.id = PR_FIT_LABEL
	426	# Make sure that the plot is linear
	427	new_plot.xtransform = "x"
	428	new_plot.ytransform = "y"
	429	new_plot.group_id = GROUP_ID_PR_FIT
	430	self.parent.update_theory(data_id=self.data_id, theory=new_plot)
	431	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="P(r) fit"))
	432	return x, pr.d_max
	433
	434	def load(self, data):
	435	"""
	436	Load data. This will eventually be replaced
	437	by our standard DataLoader class.
	438	"""
	439	class FileData(object):
	440	x = None
	441	y = None
	442	err = None
	443	path = None
	444
	445	def __init__(self, path):
	446	self.path = path
	447
	448	self._current_file_data = FileData(data.path)
	449
	450	# Use data loader to load file
	451	dataread = data
	452	# Notify the user if we could not read the file
	453	if dataread is None:
[fa81e94]	454	raise RuntimeError("Invalid data")
[959eb01]	455
	456	x = None
	457	y = None
	458	err = None
	459	if dataread.__class__.__name__ == 'Data1D':
	460	x = dataread.x
	461	y = dataread.y
	462	err = dataread.dy
	463	else:
	464	if isinstance(dataread, list) and len(dataread) > 0:
	465	x = dataread[0].x
	466	y = dataread[0].y
	467	err = dataread[0].dy
	468	msg = "PrView only allows a single data set at a time. "
	469	msg += "Only the first data set was loaded."
	470	wx.PostEvent(self.parent, StatusEvent(status=msg))
	471	else:
	472	if dataread is None:
	473	return x, y, err
[fa81e94]	474	raise RuntimeError("This tool can only read 1D data")
[959eb01]	475
	476	self._current_file_data.x = x
	477	self._current_file_data.y = y
	478	self._current_file_data.err = err
	479	return x, y, err
	480
	481	def load_columns(self, path="sphere_60_q0_2.txt"):
	482	"""
	483	Load 2- or 3- column ascii
	484	"""
	485	# Read the data from the data file
	486	data_x = np.zeros(0)
	487	data_y = np.zeros(0)
	488	data_err = np.zeros(0)
	489	scale = None
	490	min_err = 0.0
[ac07a3a]	491	if path is not None:
[959eb01]	492	input_f = open(path, 'r')
	493	buff = input_f.read()
	494	lines = buff.split('\n')
	495	for line in lines:
	496	try:
	497	toks = line.split()
	498	x = float(toks[0])
	499	y = float(toks[1])
	500	if len(toks) > 2:
	501	err = float(toks[2])
	502	else:
[235f514]	503	if scale is None:
[959eb01]	504	scale = 0.05 * math.sqrt(y)
	505	#scale = 0.05/math.sqrt(y)
	506	min_err = 0.01 * y
	507	err = scale * math.sqrt(y) + min_err
	508	#err = 0
	509
	510	data_x = np.append(data_x, x)
	511	data_y = np.append(data_y, y)
	512	data_err = np.append(data_err, err)
	513	except:
[fa81e94]	514	logger.error(sys.exc_info()[1])
[959eb01]	515
[ac07a3a]	516	if scale is not None:
[959eb01]	517	message = "The loaded file had no error bars, statistical errors are assumed."
	518	wx.PostEvent(self.parent, StatusEvent(status=message))
	519	else:
	520	wx.PostEvent(self.parent, StatusEvent(status=''))
	521
	522	return data_x, data_y, data_err
	523
	524	def load_abs(self, path):
	525	"""
	526	Load an IGOR .ABS reduced file
	527
	528	:param path: file path
	529
	530	:return: x, y, err vectors
	531
	532	"""
	533	# Read the data from the data file
	534	data_x = np.zeros(0)
	535	data_y = np.zeros(0)
	536	data_err = np.zeros(0)
	537	scale = None
	538	min_err = 0.0
	539
	540	data_started = False
[ac07a3a]	541	if path is not None:
[959eb01]	542	input_f = open(path, 'r')
	543	buff = input_f.read()
	544	lines = buff.split('\n')
	545	for line in lines:
	546	if data_started == True:
	547	try:
	548	toks = line.split()
	549	x = float(toks[0])
	550	y = float(toks[1])
	551	if len(toks) > 2:
	552	err = float(toks[2])
	553	else:
[235f514]	554	if scale is None:
[959eb01]	555	scale = 0.05 * math.sqrt(y)
	556	#scale = 0.05/math.sqrt(y)
	557	min_err = 0.01 * y
	558	err = scale * math.sqrt(y) + min_err
	559	#err = 0
	560
	561	data_x = np.append(data_x, x)
	562	data_y = np.append(data_y, y)
	563	data_err = np.append(data_err, err)
	564	except:
[fa81e94]	565	logger.error(sys.exc_info()[1])
[959eb01]	566	elif line.find("The 6 columns") >= 0:
	567	data_started = True
	568
[ac07a3a]	569	if scale is not None:
[959eb01]	570	message = "The loaded file had no error bars, statistical errors are assumed."
	571	wx.PostEvent(self.parent, StatusEvent(status=message))
	572	else:
	573	wx.PostEvent(self.parent, StatusEvent(status=''))
	574
	575	return data_x, data_y, data_err
	576
	577	def pr_theory(self, r, R):
	578	"""
	579	Return P(r) of a sphere for a given R
	580	For test purposes
	581	"""
	582	if r <= 2 * R:
	583	return 12.0 * ((0.5 * r / R) ** 2) * ((1.0 - 0.5 * r / R) ** 2) * (2.0 + 0.5 * r / R)
	584	else:
	585	return 0.0
	586
	587	def get_context_menu(self, plotpanel=None):
	588	"""
	589	Get the context menu items available for P(r)
	590
	591	:param graph: the Graph object to which we attach the context menu
	592
	593	:return: a list of menu items with call-back function
	594
	595	"""
	596	graph = plotpanel.graph
	597	# Look whether this Graph contains P(r) data
	598	if graph.selected_plottable not in plotpanel.plots:
	599	return []
	600	item = plotpanel.plots[graph.selected_plottable]
	601	if item.id == PR_FIT_LABEL:
	602	#add_data_hint = "Load a data file and display it on this plot"
	603	#["Add P(r) data",add_data_hint , self._on_add_data],
	604	change_n_hint = "Change the number of"
	605	change_n_hint += " points on the P(r) output"
	606	change_n_label = "Change number of P(r) points"
	607	m_list = [[change_n_label, change_n_hint, self._on_pr_npts]]
	608
	609	if self._scale_output_unity or self._normalize_output:
	610	hint = "Let the output P(r) keep the scale of the data"
	611	m_list.append(["Disable P(r) scaling", hint,
	612	self._on_disable_scaling])
	613	if not self._scale_output_unity:
	614	m_list.append(["Scale P_max(r) to unity",
	615	"Scale P(r) so that its maximum is 1",
	616	self._on_scale_unity])
	617	if not self._normalize_output:
	618	m_list.append(["Normalize P(r) to unity",
	619	"Normalize the integral of P(r) to 1",
	620	self._on_normalize])
	621
	622	return m_list
	623
	624	elif item.id in [PR_LOADED_LABEL, IQ_DATA_LABEL, IQ_FIT_LABEL, IQ_SMEARED_LABEL]:
	625	return []
	626	elif item.id == graph.selected_plottable:
	627	if issubclass(item.__class__, Data1D):
	628	return [["Compute P(r)",
	629	"Compute P(r) from distribution",
	630	self._on_context_inversion]]
	631	return []
	632
	633	def _on_disable_scaling(self, evt):
	634	"""
	635	Disable P(r) scaling
	636
	637	:param evt: Menu event
	638
	639	"""
	640	self._normalize_output = False
	641	self._scale_output_unity = False
	642	self.show_pr(self._last_out, self._last_pr, self._last_cov)
	643
	644	# Now replot the original added data
	645	for plot in self._added_plots:
	646	self._added_plots[plot].y = np.copy(self._default_Iq[plot])
	647	wx.PostEvent(self.parent,
	648	NewPlotEvent(plot=self._added_plots[plot],
	649	title=self._added_plots[plot].name,
	650	update=True))
	651
	652	# Need the update flag in the NewPlotEvent to protect against
	653	# the plot no longer being there...
	654
	655	def _on_normalize(self, evt):
	656	"""
	657	Normalize the area under the P(r) curve to 1.
	658	This operation is done for all displayed plots.
	659
	660	:param evt: Menu event
	661
	662	"""
	663	self._normalize_output = True
	664	self._scale_output_unity = False
	665
	666	self.show_pr(self._last_out, self._last_pr, self._last_cov)
	667
	668	# Now scale the added plots too
	669	for plot in self._added_plots:
	670	total = np.sum(self._added_plots[plot].y)
	671	npts = len(self._added_plots[plot].x)
	672	total *= self._added_plots[plot].x[npts - 1] / npts
	673	y = self._added_plots[plot].y / total
	674
	675	new_plot = Data1D(self._added_plots[plot].x, y)
	676	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
	677	new_plot.group_id = self._added_plots[plot].group_id
	678	new_plot.id = self._added_plots[plot].id
	679	new_plot.title = self._added_plots[plot].title
	680	new_plot.name = self._added_plots[plot].name
	681	new_plot.xaxis("\\rm{r}", 'A')
	682	new_plot.yaxis("\\rm{P(r)} ", "cm^{-3}")
	683	self.parent.update_theory(data_id=self.data_id, theory=new_plot)
	684	wx.PostEvent(self.parent,
	685	NewPlotEvent(plot=new_plot, update=True,
	686	title=self._added_plots[plot].name))
	687
	688	def _on_scale_unity(self, evt):
	689	"""
	690	Scale the maximum P(r) value on each displayed plot to 1.
	691
	692	:param evt: Menu event
	693
	694	"""
	695	self._scale_output_unity = True
	696	self._normalize_output = False
	697
	698	self.show_pr(self._last_out, self._last_pr, self._last_cov)
	699
	700	# Now scale the added plots too
	701	for plot in self._added_plots:
	702	_max = 0
	703	for y in self._added_plots[plot].y:
	704	if y > _max:
	705	_max = y
	706	y = self._added_plots[plot].y / _max
	707
	708	new_plot = Data1D(self._added_plots[plot].x, y)
	709	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
	710	new_plot.name = self._added_plots[plot].name
	711	new_plot.xaxis("\\rm{r}", 'A')
	712	new_plot.yaxis("\\rm{P(r)} ", "cm^{-3}")
	713	self.parent.update_theory(data_id=self.data_id, theory=new_plot)
	714	wx.PostEvent(self.parent,
	715	NewPlotEvent(plot=new_plot, update=True,
	716	title=self._added_plots[plot].name))
	717
	718	def start_thread(self):
	719	"""
	720	Start a calculation thread
	721	"""
[fa81e94]	722	from .pr_thread import CalcPr
[959eb01]	723
	724	# If a thread is already started, stop it
[7432acb]	725	if self.calc_thread is not None and self.calc_thread.isrunning():
[959eb01]	726	self.calc_thread.stop()
	727	## stop just raises the flag -- the thread is supposed to
	728	## then kill itself. In August 2014 it was shown that this is
	729	## incorrectly handled by fitting.py and a fix implemented.
	730	## It is not clear whether it is properly used here, but the
	731	## "fix" of waiting for the previous thread to end breaks the
	732	## pr perspective completely as it causes an infinite loop.
	733	## Thus it is likely the threading is bing properly handled.
	734	## While the "fix" is no longer implemented the comment is
	735	## left here till somebody ascertains that in fact the threads
	736	## are being properly handled.
	737	##
	738	## -PDB January 25, 2015
	739
	740	pr = self.pr.clone()
	741	self.calc_thread = CalcPr(pr, self.nfunc,
	742	error_func=self._thread_error,
	743	completefn=self._completed, updatefn=None)
	744	self.calc_thread.queue()
	745	self.calc_thread.ready(2.5)
	746
	747	def _thread_error(self, error):
	748	"""
	749	Call-back method for calculation errors
	750	"""
	751	wx.PostEvent(self.parent, StatusEvent(status=error))
	752
	753	def _estimate_completed(self, alpha, message, elapsed):
	754	"""
	755	Parameter estimation completed,
	756	display the results to the user
	757
	758	:param alpha: estimated best alpha
	759	:param elapsed: computation time
	760
	761	"""
	762	# Save useful info
	763	self.elapsed = elapsed
	764	self.control_panel.alpha_estimate = alpha
[ac07a3a]	765	if message is not None:
[959eb01]	766	wx.PostEvent(self.parent, StatusEvent(status=str(message)))
	767	self.perform_estimateNT()
	768
	769	def _estimateNT_completed(self, nterms, alpha, message, elapsed):
	770	"""
	771	Parameter estimation completed,
	772	display the results to the user
	773
	774	:param alpha: estimated best alpha
	775	:param nterms: estimated number of terms
	776	:param elapsed: computation time
	777
	778	"""
	779	# Save useful info
	780	self.elapsed = elapsed
	781	self.control_panel.nterms_estimate = nterms
	782	self.control_panel.alpha_estimate = alpha
[ac07a3a]	783	if message is not None:
[959eb01]	784	wx.PostEvent(self.parent, StatusEvent(status=str(message)))
	785
	786	def _completed(self, out, cov, pr, elapsed):
	787	"""
	788	wxCallAfter Method called with the results when the inversion
	789	is done
	790
	791	:param out: output coefficient for the base functions
	792	:param cov: covariance matrix
	793	:param pr: Invertor instance
	794	:param elapsed: time spent computing
	795	"""
	796	# Ensure hat you have all inputs are ready at the time call happens:
	797	# Without CallAfter, it will freeze with wx >= 2.9.
	798	wx.CallAfter(self._completed_call, out, cov, pr, elapsed)
	799
	800	def _completed_call(self, out, cov, pr, elapsed):
	801	"""
	802	Method called with the results when the inversion
	803	is done
	804
	805	:param out: output coefficient for the base functions
	806	:param cov: covariance matrix
	807	:param pr: Invertor instance
	808	:param elapsed: time spent computing
	809
	810	"""
	811	# Save useful info
	812	self.elapsed = elapsed
	813	# Keep a copy of the last result
	814	self._last_pr = pr.clone()
	815	self._last_out = out
	816	self._last_cov = cov
	817
	818	# Save Pr invertor
	819	self.pr = pr
	820	cov = np.ascontiguousarray(cov)
	821
	822	# Show result on control panel
	823	self.control_panel.chi2 = pr.chi2
	824	self.control_panel.elapsed = elapsed
	825	self.control_panel.oscillation = pr.oscillations(out)
	826	self.control_panel.positive = pr.get_positive(out)
	827	self.control_panel.pos_err = pr.get_pos_err(out, cov)
	828	self.control_panel.rg = pr.rg(out)
	829	self.control_panel.iq0 = pr.iq0(out)
	830	self.control_panel.bck = pr.background
[cb62bd5]	831	self.control_panel.bck_input.SetValue("{:.2g}".format(pr.background))
[959eb01]	832
	833	# Show I(q) fit
	834	self.show_iq(out, self.pr)
	835
	836	# Show P(r) fit
	837	self.show_pr(out, self.pr, cov)
	838
	839	def show_data(self, path=None, data=None, reset=False):
	840	"""
	841	Show data read from a file
	842
	843	:param path: file path
	844	:param reset: if True all other plottables will be cleared
	845
	846	"""
	847	#if path is not None:
	848	if data is not None:
	849	try:
	850	pr = self._create_file_pr(data)
	851	except:
[fa81e94]	852	status = "Problem reading data: %s" % sys.exc_info()[1]
[959eb01]	853	wx.PostEvent(self.parent, StatusEvent(status=status))
[fa81e94]	854	raise RuntimeError(status)
[959eb01]	855
	856	# If the file contains nothing, just return
	857	if pr is None:
[fa81e94]	858	raise RuntimeError("Loaded data is invalid")
[959eb01]	859
	860	self.pr = pr
	861
	862	# Make a plot of I(q) data
[235f514]	863	if self.pr.err is None:
[959eb01]	864	new_plot = Data1D(self.pr.x, self.pr.y)
	865	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
	866	else:
	867	new_plot = Data1D(self.pr.x, self.pr.y, dy=self.pr.err)
	868	new_plot.name = IQ_DATA_LABEL
	869	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	870	new_plot.yaxis("\\rm{Intensity} ", "cm^{-1}")
	871	new_plot.interactive = True
	872	new_plot.group_id = GROUP_ID_IQ_DATA
	873	new_plot.id = self.data_id
	874	new_plot.title = "I(q)"
	875	wx.PostEvent(self.parent,
	876	NewPlotEvent(plot=new_plot, title="I(q)", reset=reset))
	877
	878	self.current_plottable = new_plot
	879	# Get Q range
	880	self.control_panel.q_min = min(self.pr.x)
	881	self.control_panel.q_max = max(self.pr.x)
	882
	883	def save_data(self, filepath, prstate=None):
	884	"""
	885	Save data in provided state object.
	886
	887	:TODO: move the state code away from inversion_panel and move it here.
	888	Then remove the "prstate" input and make this method private.
	889
	890	:param filepath: path of file to write to
	891	:param prstate: P(r) inversion state
	892
	893	"""
	894	#TODO: do we need this or can we use DataLoader.loader.save directly?
	895
	896	# Add output data and coefficients to state
	897	prstate.coefficients = self._last_out
	898	prstate.covariance = self._last_cov
	899
	900	# Write the output to file
	901	# First, check that the data is of the right type
	902	if issubclass(self.current_plottable.__class__,
	903	sas.sascalc.dataloader.data_info.Data1D):
	904	self.state_reader.write(filepath, self.current_plottable, prstate)
	905	else:
	906	msg = "pr.save_data: the data being saved is not a"
	907	msg += " sas.data_info.Data1D object"
[fa81e94]	908	raise RuntimeError(msg)
[959eb01]	909
	910	def setup_plot_inversion(self, alpha, nfunc, d_max, q_min=None, q_max=None,
[cb62bd5]	911	est_bck=False, bck_val=0, height=0, width=0):
[959eb01]	912	"""
	913	Set up inversion from plotted data
	914	"""
	915	self.alpha = alpha
	916	self.nfunc = nfunc
	917	self.max_length = d_max
	918	self.q_min = q_min
	919	self.q_max = q_max
[cb62bd5]	920	self.est_bck = est_bck
	921	self.bck_val = bck_val
[959eb01]	922	self.slit_height = height
	923	self.slit_width = width
	924
	925	try:
	926	pr = self._create_plot_pr()
[ac07a3a]	927	if pr is not None:
[959eb01]	928	self.pr = pr
	929	self.perform_inversion()
	930	except:
[fa81e94]	931	wx.PostEvent(self.parent, StatusEvent(status=sys.exc_info()[1]))
[959eb01]	932
	933	def estimate_plot_inversion(self, alpha, nfunc, d_max,
	934	q_min=None, q_max=None,
[cb62bd5]	935	est_bck=False, bck_val=0, height=0, width=0):
[959eb01]	936	"""
	937	Estimate parameters from plotted data
	938	"""
	939	self.alpha = alpha
	940	self.nfunc = nfunc
	941	self.max_length = d_max
	942	self.q_min = q_min
	943	self.q_max = q_max
[cb62bd5]	944	self.est_bck = est_bck
	945	self.bck_val = bck_val
[959eb01]	946	self.slit_height = height
	947	self.slit_width = width
	948
	949	try:
	950	pr = self._create_plot_pr()
[ac07a3a]	951	if pr is not None:
[959eb01]	952	self.pr = pr
	953	self.perform_estimate()
	954	except:
[fa81e94]	955	wx.PostEvent(self.parent, StatusEvent(status=sys.exc_info()[1]))
[959eb01]	956
	957	def _create_plot_pr(self, estimate=False):
	958	"""
	959	Create and prepare invertor instance from
	960	a plottable data set.
	961
	962	:param path: path of the file to read in
	963
	964	"""
	965	# Sanity check
	966	if self.current_plottable is None:
	967	msg = "Please load a valid data set before proceeding."
	968	wx.PostEvent(self.parent, StatusEvent(status=msg))
	969	return None
	970
	971	# Get the data from the chosen data set and perform inversion
	972	pr = Invertor()
	973	pr.d_max = self.max_length
	974	pr.alpha = self.alpha
	975	pr.q_min = self.q_min
	976	pr.q_max = self.q_max
	977	pr.x = self.current_plottable.x
	978	pr.y = self.current_plottable.y
[cb62bd5]	979	pr.est_bck = self.est_bck
[959eb01]	980	pr.slit_height = self.slit_height
	981	pr.slit_width = self.slit_width
[cb62bd5]	982	pr.background = self.bck_val
[959eb01]	983
	984	# Keep track of the plot window title to ensure that
	985	# we can overlay the plots
	986	pr.info["plot_group_id"] = self.current_plottable.group_id
	987
	988	# Fill in errors if none were provided
	989	err = self.current_plottable.dy
	990	all_zeros = True
[235f514]	991	if err is None:
[959eb01]	992	err = np.zeros(len(pr.y))
	993	else:
	994	for i in range(len(err)):
	995	if err[i] > 0:
	996	all_zeros = False
	997
	998	if all_zeros:
	999	scale = None
	1000	min_err = 0.0
	1001	for i in range(len(pr.y)):
	1002	# Scale the error so that we can fit over several decades of Q
[235f514]	1003	if scale is None:
[959eb01]	1004	scale = 0.05 * math.sqrt(pr.y[i])
	1005	min_err = 0.01 * pr.y[i]
	1006	err[i] = scale * math.sqrt(math.fabs(pr.y[i])) + min_err
	1007	message = "The loaded file had no error bars, "
	1008	message += "statistical errors are assumed."
	1009	wx.PostEvent(self.parent, StatusEvent(status=message))
	1010
	1011	pr.err = err
	1012
	1013	return pr
	1014
	1015	def setup_file_inversion(self, alpha, nfunc, d_max, data,
	1016	path=None, q_min=None, q_max=None,
	1017	bck=False, height=0, width=0):
	1018	"""
	1019	Set up inversion
	1020	"""
	1021	self.alpha = alpha
	1022	self.nfunc = nfunc
	1023	self.max_length = d_max
	1024	self.q_min = q_min
	1025	self.q_max = q_max
[cb62bd5]	1026	self.est_bck = bck
[959eb01]	1027	self.slit_height = height
	1028	self.slit_width = width
	1029
	1030	try:
	1031	pr = self._create_file_pr(data)
[ac07a3a]	1032	if pr is not None:
[959eb01]	1033	self.pr = pr
	1034	self.perform_inversion()
	1035	except:
[fa81e94]	1036	wx.PostEvent(self.parent, StatusEvent(status=sys.exc_info()[1]))
[959eb01]	1037
	1038	def estimate_file_inversion(self, alpha, nfunc, d_max, data,
	1039	path=None, q_min=None, q_max=None,
	1040	bck=False, height=0, width=0):
	1041	"""
	1042	Estimate parameters for inversion
	1043	"""
	1044	self.alpha = alpha
	1045	self.nfunc = nfunc
	1046	self.max_length = d_max
	1047	self.q_min = q_min
	1048	self.q_max = q_max
[cb62bd5]	1049	self.est_bck = bck
[959eb01]	1050	self.slit_height = height
	1051	self.slit_width = width
	1052
	1053	try:
	1054	pr = self._create_file_pr(data)
	1055	if pr is not None:
	1056	self.pr = pr
	1057	self.perform_estimate()
	1058	except:
[fa81e94]	1059	wx.PostEvent(self.parent, StatusEvent(status=sys.exc_info()[1]))
[959eb01]	1060
	1061	def _create_file_pr(self, data):
	1062	"""
	1063	Create and prepare invertor instance from
	1064	a file data set.
	1065
	1066	:param path: path of the file to read in
	1067
	1068	"""
	1069	# Reset the status bar so that we don't get mixed up
	1070	# with old messages.
	1071	#TODO: refactor this into a proper status handling
	1072	wx.PostEvent(self.parent, StatusEvent(status=''))
	1073	try:
	1074	class FileData(object):
	1075	x = None
	1076	y = None
	1077	err = None
	1078	path = None
	1079	def __init__(self, path):
	1080	self.path = path
	1081
	1082	self._current_file_data = FileData(data.path)
	1083	self._current_file_data.x = data.x
	1084	self._current_file_data.y = data.y
	1085	self._current_file_data.err = data.dy
	1086	x, y, err = data.x, data.y, data.dy
	1087	except:
[fa81e94]	1088	load_error(sys.exc_info()[1])
[959eb01]	1089	return None
	1090
	1091	# If the file contains no data, just return
	1092	if x is None or len(x) == 0:
	1093	load_error("The loaded file contains no data")
	1094	return None
	1095
	1096	# If we have not errors, add statistical errors
	1097	if y is not None:
[235f514]	1098	if err is None or np.all(err) == 0:
[959eb01]	1099	err = np.zeros(len(y))
	1100	scale = None
	1101	min_err = 0.0
	1102	for i in range(len(y)):
	1103	# Scale the error so that we can fit over several decades of Q
[235f514]	1104	if scale is None:
[959eb01]	1105	scale = 0.05 * math.sqrt(y[i])
	1106	min_err = 0.01 * y[i]
	1107	err[i] = scale * math.sqrt(math.fabs(y[i])) + min_err
	1108	message = "The loaded file had no error bars, "
	1109	message += "statistical errors are assumed."
	1110	wx.PostEvent(self.parent, StatusEvent(status=message))
	1111
	1112	try:
	1113	# Get the data from the chosen data set and perform inversion
	1114	pr = Invertor()
	1115	pr.d_max = self.max_length
	1116	pr.alpha = self.alpha
	1117	pr.q_min = self.q_min
	1118	pr.q_max = self.q_max
	1119	pr.x = x
	1120	pr.y = y
	1121	pr.err = err
[cb62bd5]	1122	pr.est_bck = self.est_bck
[959eb01]	1123	pr.slit_height = self.slit_height
	1124	pr.slit_width = self.slit_width
	1125	return pr
	1126	except:
[fa81e94]	1127	load_error(sys.exc_info()[1])
[959eb01]	1128	return None
	1129
	1130	def perform_estimate(self):
	1131	"""
	1132	Perform parameter estimation
	1133	"""
[fa81e94]	1134	from .pr_thread import EstimatePr
[959eb01]	1135
	1136	# If a thread is already started, stop it
[7432acb]	1137	if self.estimation_thread is not None and \
[959eb01]	1138	self.estimation_thread.isrunning():
	1139	self.estimation_thread.stop()
	1140	## stop just raises the flag -- the thread is supposed to
	1141	## then kill itself. In August 2014 it was shown that this is
	1142	## incorrectly handled by fitting.py and a fix implemented.
	1143	## It is not clear whether it is properly used here, but the
	1144	## "fix" of waiting for the previous thread to end breaks the
	1145	## pr perspective completely as it causes an infinite loop.
	1146	## Thus it is likely the threading is bing properly handled.
	1147	## While the "fix" is no longer implemented the comment is
	1148	## left here till somebody ascertains that in fact the threads
	1149	## are being properly handled.
	1150	##
	1151	## -PDB January 25, 2015
	1152	pr = self.pr.clone()
	1153	self.estimation_thread = EstimatePr(pr, self.nfunc,
	1154	error_func=self._thread_error,
	1155	completefn=self._estimate_completed,
	1156	updatefn=None)
	1157	self.estimation_thread.queue()
	1158	self.estimation_thread.ready(2.5)
	1159
	1160	def perform_estimateNT(self):
	1161	"""
	1162	Perform parameter estimation
	1163	"""
[fa81e94]	1164	from .pr_thread import EstimateNT
[959eb01]	1165
	1166	# If a thread is already started, stop it
[7432acb]	1167	if self.estimation_thread is not None and self.estimation_thread.isrunning():
[959eb01]	1168	self.estimation_thread.stop()
	1169	## stop just raises the flag -- the thread is supposed to
	1170	## then kill itself. In August 2014 it was shown that this is
	1171	## incorrectly handled by fitting.py and a fix implemented.
	1172	## It is not clear whether it is properly used here, but the
	1173	## "fix" of waiting for the previous thread to end breaks the
	1174	## pr perspective completely as it causes an infinite loop.
	1175	## Thus it is likely the threading is bing properly handled.
	1176	## While the "fix" is no longer implemented the comment is
	1177	## left here till somebody ascertains that in fact the threads
	1178	## are being properly handled.
	1179	##
	1180	## -PDB January 25, 2015
	1181	pr = self.pr.clone()
	1182	# Skip the slit settings for the estimation
	1183	# It slows down the application and it doesn't change the estimates
	1184	pr.slit_height = 0.0
	1185	pr.slit_width = 0.0
	1186	self.estimation_thread = EstimateNT(pr, self.nfunc,
	1187	error_func=self._thread_error,
	1188	completefn=self._estimateNT_completed,
	1189	updatefn=None)
	1190	self.estimation_thread.queue()
	1191	self.estimation_thread.ready(2.5)
	1192
	1193	def perform_inversion(self):
	1194	"""
	1195	Perform inversion
	1196	"""
	1197	self.start_thread()
	1198
	1199	def _on_context_inversion(self, event):
	1200	"""
	1201	Call-back method for plot context menu
	1202	"""
	1203	panel = event.GetEventObject()
	1204	Plugin.on_perspective(self, event=event)
	1205
	1206	# If we have more than one displayed plot, make the user choose
	1207	if len(panel.plots) >= 1 and \
	1208	panel.graph.selected_plottable in panel.plots:
	1209	dataset = panel.plots[panel.graph.selected_plottable].name
	1210	else:
	1211	logger.info("Prview Error: No data is available")
	1212	return
	1213
	1214	# Store a reference to the current plottable
	1215	# If we have a suggested value, use it.
	1216	try:
	1217	estimate = float(self.control_panel.alpha_estimate)
	1218	self.control_panel.alpha = estimate
	1219	except:
	1220	self.control_panel.alpha = self.alpha
	1221	logger.info("Prview :Alpha Not estimate yet")
	1222	try:
	1223	estimate = int(self.control_panel.nterms_estimate)
	1224	self.control_panel.nfunc = estimate
	1225	except:
	1226	self.control_panel.nfunc = self.nfunc
	1227	logger.info("Prview : ntemrs Not estimate yet")
	1228
	1229	self.current_plottable = panel.plots[panel.graph.selected_plottable]
	1230	self.set_data([self.current_plottable])
	1231	self.control_panel.plotname = dataset
	1232	#self.control_panel.nfunc = self.nfunc
	1233	self.control_panel.d_max = self.max_length
	1234	#self.parent.set_perspective(self.perspective)
	1235	self.control_panel._on_invert(None)
	1236
	1237	def get_panels(self, parent):
	1238	"""
	1239	Create and return a list of panel objects
	1240	"""
[fa81e94]	1241	from .inversion_panel import InversionControl
[959eb01]	1242
	1243	self.parent = parent
	1244	self.frame = MDIFrame(self.parent, None, 'None', (100, 200))
	1245	self.control_panel = InversionControl(self.frame, -1,
	1246	style=wx.RAISED_BORDER)
	1247	self.frame.set_panel(self.control_panel)
	1248	self._frame_set_helper()
	1249	self.control_panel.set_manager(self)
	1250	self.control_panel.nfunc = self.nfunc
	1251	self.control_panel.d_max = self.max_length
	1252	self.control_panel.alpha = self.alpha
	1253	self.perspective = []
	1254	self.perspective.append(self.control_panel.window_name)
	1255
	1256	return [self.control_panel]
	1257
	1258	def set_data(self, data_list=None):
	1259	"""
	1260	receive a list of data to compute pr
	1261	"""
	1262	if data_list is None:
	1263	data_list = []
	1264	if len(data_list) >= 1:
	1265	if len(data_list) == 1:
	1266	data = data_list[0]
	1267	else:
	1268	data_1d_list = []
	1269	data_2d_list = []
	1270	error_msg = ""
	1271	# separate data into data1d and data2d list
	1272	for data in data_list:
	1273	if data is not None:
	1274	if issubclass(data.__class__, Data1D):
	1275	data_1d_list.append(data)
	1276	else:
	1277	error_msg += " %s type %s \n" % (str(data.name),
	1278	str(data.__class__.__name__))
	1279	data_2d_list.append(data)
	1280	if len(data_2d_list) > 0:
	1281	msg = "PrView does not support the following data types:\n"
	1282	msg += error_msg
	1283	if len(data_1d_list) == 0:
	1284	wx.PostEvent(self.parent, StatusEvent(status=msg, info='error'))
	1285	return
	1286	msg = "Prview does not allow multiple data!\n"
	1287	msg += "Please select one.\n"
	1288	if len(data_list) > 1:
[fa81e94]	1289	from .pr_widgets import DataDialog
[959eb01]	1290	dlg = DataDialog(data_list=data_1d_list, text=msg)
	1291	if dlg.ShowModal() == wx.ID_OK:
	1292	data = dlg.get_data()
	1293	else:
	1294	data = None
	1295	dlg.Destroy()
	1296	if data is None:
	1297	msg += "PrView receives no data. \n"
	1298	wx.PostEvent(self.parent, StatusEvent(status=msg, info='error'))
	1299	return
	1300	if issubclass(data.__class__, Data1D):
	1301	try:
	1302	wx.PostEvent(self.parent,
	1303	NewPlotEvent(action='remove',
	1304	group_id=GROUP_ID_IQ_DATA,
	1305	id=self.data_id))
	1306	self.data_id = data.id
	1307	self.control_panel._change_file(evt=None, data=data)
	1308	except:
[fa81e94]	1309	msg = "Prview Set_data: " + str(sys.exc_info()[1])
[959eb01]	1310	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	1311	else:
	1312	msg = "Pr cannot be computed for data of "
	1313	msg += "type %s" % (data_list[0].__class__.__name__)
	1314	wx.PostEvent(self.parent, StatusEvent(status=msg, info='error'))
	1315	else:
	1316	msg = "Pr contain no data"
	1317	wx.PostEvent(self.parent, StatusEvent(status=msg, info='warning'))
	1318
	1319	def post_init(self):
	1320	"""
	1321	Post initialization call back to close the loose ends
	1322	[Somehow openGL needs this call]
	1323	"""
	1324	pass

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SasView

source: sasview/src/sas/sasgui/perspectives/pr/pr.py @ b5cc06e

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