[9ff861b] | 1 | |
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[7116b6e0] | 2 | ################################################################################ |
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| 3 | #This software was developed by the University of Tennessee as part of the |
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| 4 | #Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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| 5 | #project funded by the US National Science Foundation. |
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| 6 | # |
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| 7 | #See the license text in license.txt |
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| 8 | # |
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| 9 | #copyright 2009, University of Tennessee |
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| 10 | ################################################################################ |
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[9ff861b] | 11 | |
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| 12 | |
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[f3d51f6] | 13 | # Make sure the option of saving each curve is available |
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| 14 | # Use the I(q) curve as input and compare the output to P(r) |
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| 15 | |
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| 16 | import os |
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[4a5de6f] | 17 | import sys |
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[f3d51f6] | 18 | import wx |
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[aa4b8379] | 19 | import logging |
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[302510b] | 20 | import time |
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[75df58b] | 21 | import copy |
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| 22 | import math |
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| 23 | import numpy |
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| 24 | import pylab |
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| 25 | from sans.guiframe.dataFitting import Data1D |
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| 26 | from sans.guiframe.events import NewPlotEvent |
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[a07e72f] | 27 | from sans.guiframe.events import StatusEvent |
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| 28 | from sans.guiframe.gui_style import GUIFRAME_ID |
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[f3d51f6] | 29 | from sans.pr.invertor import Invertor |
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[aab8ad7] | 30 | from DataLoader.loader import Loader |
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[a07e72f] | 31 | |
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[af91b68] | 32 | from pr_widgets import load_error |
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[75df58b] | 33 | from sans.guiframe.plugin_base import PluginBase |
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[f3d51f6] | 34 | |
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[0d88a09] | 35 | |
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[f1181977] | 36 | PR_FIT_LABEL = r"$P_{fit}(r)$" |
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| 37 | PR_LOADED_LABEL = r"$P_{loaded}(r)$" |
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| 38 | IQ_DATA_LABEL = r"$I_{obs}(q)$" |
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| 39 | IQ_FIT_LABEL = r"$I_{fit}(q)$" |
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| 40 | IQ_SMEARED_LABEL = r"$I_{smeared}(q)$" |
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[aa4b8379] | 41 | |
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| 42 | |
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[3e41f43] | 43 | class Plugin(PluginBase): |
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[7116b6e0] | 44 | """ |
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| 45 | """ |
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[b659551] | 46 | DEFAULT_ALPHA = 0.0001 |
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| 47 | DEFAULT_NFUNC = 10 |
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| 48 | DEFAULT_DMAX = 140.0 |
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| 49 | |
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[d2ee6f6] | 50 | def __init__(self, standalone=True): |
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[3e41f43] | 51 | PluginBase.__init__(self, name="Pr inversion", standalone=standalone) |
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[f3d51f6] | 52 | ## Simulation window manager |
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| 53 | self.simview = None |
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[3e41f43] | 54 | |
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[f3d51f6] | 55 | ## State data |
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[b659551] | 56 | self.alpha = self.DEFAULT_ALPHA |
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| 57 | self.nfunc = self.DEFAULT_NFUNC |
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| 58 | self.max_length = self.DEFAULT_DMAX |
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[634f1cf] | 59 | self.q_min = None |
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| 60 | self.q_max = None |
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[a4bd2ac] | 61 | self.has_bck = False |
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[2a92852] | 62 | self.slit_height = 0 |
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| 63 | self.slit_width = 0 |
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[f3d51f6] | 64 | ## Remember last plottable processed |
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| 65 | self.last_data = "sphere_60_q0_2.txt" |
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[0bae207] | 66 | self._current_file_data = None |
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[f3d51f6] | 67 | ## Time elapsed for last computation [sec] |
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| 68 | # Start with a good default |
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| 69 | self.elapsed = 0.022 |
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[aa4b8379] | 70 | self.iq_data_shown = False |
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[f3d51f6] | 71 | |
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| 72 | ## Current invertor |
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| 73 | self.invertor = None |
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[3fd1ebc] | 74 | self.pr = None |
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[db4ed82] | 75 | self.data_id = IQ_DATA_LABEL |
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[feb21d8] | 76 | # Copy of the last result in case we need to display it. |
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| 77 | self._last_pr = None |
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| 78 | self._last_out = None |
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| 79 | self._last_cov = None |
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[f3d51f6] | 80 | ## Calculation thread |
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| 81 | self.calc_thread = None |
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| 82 | ## Estimation thread |
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| 83 | self.estimation_thread = None |
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| 84 | ## Result panel |
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| 85 | self.control_panel = None |
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| 86 | ## Currently views plottable |
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| 87 | self.current_plottable = None |
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[b659551] | 88 | ## Number of P(r) points to display on the output plot |
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| 89 | self._pr_npts = 51 |
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[aa4b8379] | 90 | ## Flag to let the plug-in know that it is running standalone |
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[d2ee6f6] | 91 | self.standalone = standalone |
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[feb21d8] | 92 | self._normalize_output = False |
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| 93 | self._scale_output_unity = False |
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[aa4b8379] | 94 | |
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[f1181977] | 95 | ## List of added P(r) plots |
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| 96 | self._added_plots = {} |
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| 97 | self._default_Iq = {} |
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[91d910d] | 98 | self.list_plot_id = [] |
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[f1181977] | 99 | |
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[6f1f129] | 100 | # Associate the inversion state reader with .prv files |
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| 101 | from inversion_state import Reader |
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| 102 | |
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[0d88a09] | 103 | # Create a CanSAS/Pr reader |
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| 104 | self.state_reader = Reader(self.set_state) |
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[6d3d5ff] | 105 | self._extensions = '.prv' |
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[6f1f129] | 106 | l = Loader() |
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[410aad8] | 107 | l.associate_file_reader('.prv', self.state_reader) |
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[6d3d5ff] | 108 | l.associate_file_reader(".svs", self.state_reader) |
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[6f1f129] | 109 | |
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[aa4b8379] | 110 | # Log startup |
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| 111 | logging.info("Pr(r) plug-in started") |
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| 112 | |
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[91d910d] | 113 | def delete_data(self, data_id): |
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| 114 | """ |
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| 115 | delete the data association with prview |
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| 116 | """ |
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| 117 | if self.calc_thread is not None and self.calc_thread.isrunning(): |
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| 118 | msg = "Data in use in Prview\n" |
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| 119 | if self.estimation_thread is not None and \ |
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| 120 | self.estimation_thread.isrunning(): |
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| 121 | msg = "Data in use in Prview\n" |
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| 122 | self.control_panel.clear_panel() |
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| 123 | |
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[6d3d5ff] | 124 | def get_data(self): |
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| 125 | """ |
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| 126 | """ |
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| 127 | return self.current_plottable |
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| 128 | |
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[75fbd17] | 129 | def set_state(self, state=None, datainfo=None): |
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[6f1f129] | 130 | """ |
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[7116b6e0] | 131 | Call-back method for the inversion state reader. |
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| 132 | This method is called when a .prv file is loaded. |
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| 133 | |
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| 134 | :param state: InversionState object |
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| 135 | :param datainfo: Data1D object [optional] |
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| 136 | |
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[6f1f129] | 137 | """ |
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[410aad8] | 138 | try: |
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[75fbd17] | 139 | if datainfo.__class__.__name__ == 'list': |
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[c03b780] | 140 | if len(datainfo) >= 1: |
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[75fbd17] | 141 | data = datainfo[0] |
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[c03b780] | 142 | else: |
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| 143 | data = None |
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| 144 | else: |
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| 145 | data = datainfo |
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[75fbd17] | 146 | if data is None: |
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[0d88a09] | 147 | raise RuntimeError, "Pr.set_state: datainfo parameter cannot be None in standalone mode" |
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[229da98] | 148 | |
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[0d88a09] | 149 | # Ensuring that plots are coordinated correctly |
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[75fbd17] | 150 | t = time.localtime(data.meta_data['prstate'].timestamp) |
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[0d88a09] | 151 | time_str = time.strftime("%b %d %H:%M", t) |
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| 152 | |
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| 153 | # Check that no time stamp is already appended |
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[75fbd17] | 154 | max_char = data.meta_data['prstate'].file.find("[") |
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[0d88a09] | 155 | if max_char < 0: |
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[75fbd17] | 156 | max_char = len(data.meta_data['prstate'].file) |
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[0d88a09] | 157 | |
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[229da98] | 158 | datainfo.meta_data['prstate'].file = data.meta_data['prstate'].file[0:max_char] +' [' + time_str + ']' |
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[75fbd17] | 159 | data.filename = data.meta_data['prstate'].file |
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[053c769] | 160 | # TODO: |
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| 161 | #remove this call when state save all information about the gui data |
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| 162 | # such as ID , Group_ID, etc... |
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| 163 | #make self.current_plottable = datainfo directly |
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[229da98] | 164 | self.current_plottable = self.parent.create_gui_data(data,None) |
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| 165 | self.current_plottable.group_id = data.meta_data['prstate'].file |
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[75fbd17] | 166 | |
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| 167 | # Make sure the user sees the P(r) panel after loading |
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| 168 | #self.parent.set_perspective(self.perspective) |
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| 169 | self.on_perspective(event=None) |
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[410aad8] | 170 | # Load the P(r) results |
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[229da98] | 171 | #state = self.state_reader.get_state() |
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[c8afcb7] | 172 | data_dict = {self.current_plottable.id:self.current_plottable} |
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| 173 | self.parent.add_data(data_list=data_dict) |
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[75fbd17] | 174 | wx.PostEvent(self.parent, NewPlotEvent(plot=self.current_plottable, |
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| 175 | title=self.current_plottable.title)) |
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[410aad8] | 176 | self.control_panel.set_state(state) |
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| 177 | except: |
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[a07e72f] | 178 | logging.error("prview.set_state: %s" % sys.exc_value) |
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[f3d51f6] | 179 | |
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[8994b6b] | 180 | |
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[119a11d] | 181 | def help(self, evt): |
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| 182 | """ |
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[7116b6e0] | 183 | Show a general help dialog. |
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| 184 | |
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| 185 | :TODO: replace the text with a nice image |
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| 186 | |
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[119a11d] | 187 | """ |
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| 188 | from inversion_panel import HelpDialog |
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| 189 | dialog = HelpDialog(None, -1) |
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| 190 | if dialog.ShowModal() == wx.ID_OK: |
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| 191 | dialog.Destroy() |
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| 192 | else: |
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| 193 | dialog.Destroy() |
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| 194 | |
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[f3d51f6] | 195 | def _fit_pr(self, evt): |
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[7116b6e0] | 196 | """ |
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| 197 | """ |
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[f3d51f6] | 198 | from sans.pr.invertor import Invertor |
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| 199 | # Generate P(r) for sphere |
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| 200 | radius = 60.0 |
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| 201 | d_max = 2*radius |
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| 202 | |
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| 203 | r = pylab.arange(0.01, d_max, d_max/51.0) |
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| 204 | M = len(r) |
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| 205 | y = numpy.zeros(M) |
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| 206 | pr_err = numpy.zeros(M) |
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| 207 | |
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| 208 | sum = 0.0 |
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| 209 | for j in range(M): |
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| 210 | value = self.pr_theory(r[j], radius) |
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| 211 | sum += value |
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| 212 | y[j] = value |
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| 213 | pr_err[j] = math.sqrt(y[j]) |
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| 214 | |
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| 215 | y = y/sum*d_max/len(r) |
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| 216 | |
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| 217 | # Perform fit |
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| 218 | pr = Invertor() |
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| 219 | pr.d_max = d_max |
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| 220 | pr.alpha = 0 |
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| 221 | pr.x = r |
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| 222 | pr.y = y |
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| 223 | pr.err = pr_err |
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| 224 | out, cov = pr.pr_fit() |
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| 225 | for i in range(len(out)): |
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| 226 | print "%g +- %g" % (out[i], math.sqrt(cov[i][i])) |
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[a07e72f] | 227 | |
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[f3d51f6] | 228 | # Show input P(r) |
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[a07e72f] | 229 | title = "Pr" |
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| 230 | new_plot = Data1D(pr.x, pr.y, dy=pr.err) |
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[f3d51f6] | 231 | new_plot.name = "P_{obs}(r)" |
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| 232 | new_plot.xaxis("\\rm{r}", 'A') |
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| 233 | new_plot.yaxis("\\rm{P(r)} ","cm^{-3}") |
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[e88ebfd] | 234 | new_plot.group_id = "P_{obs}(r)" |
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[a07e72f] | 235 | new_plot.id = "P_{obs}(r)" |
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| 236 | new_plot.title = title |
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[db4ed82] | 237 | self.parent.update_theory(data_id=self.data_id, theory=new_plot) |
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[a07e72f] | 238 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title)) |
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[f3d51f6] | 239 | |
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| 240 | # Show P(r) fit |
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| 241 | self.show_pr(out, pr) |
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| 242 | |
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| 243 | # Show I(q) fit |
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| 244 | q = pylab.arange(0.001, 0.1, 0.01/51.0) |
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| 245 | self.show_iq(out, pr, q) |
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| 246 | |
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| 247 | def show_shpere(self, x, radius=70.0, x_range=70.0): |
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[7116b6e0] | 248 | """ |
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| 249 | """ |
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[f3d51f6] | 250 | # Show P(r) |
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| 251 | y_true = numpy.zeros(len(x)) |
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| 252 | |
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| 253 | sum_true = 0.0 |
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| 254 | for i in range(len(x)): |
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| 255 | y_true[i] = self.pr_theory(x[i], radius) |
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| 256 | sum_true += y_true[i] |
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| 257 | |
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| 258 | y_true = y_true/sum_true*x_range/len(x) |
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| 259 | |
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| 260 | # Show the theory P(r) |
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[a07e72f] | 261 | new_plot = Data1D(x, y_true) |
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| 262 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
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[f3d51f6] | 263 | new_plot.name = "P_{true}(r)" |
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| 264 | new_plot.xaxis("\\rm{r}", 'A') |
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| 265 | new_plot.yaxis("\\rm{P(r)} ","cm^{-3}") |
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[a3149c5] | 266 | new_plot.id = "P_{true}(r)" |
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[e88ebfd] | 267 | new_plot.group_id = "P_{true}(r)" |
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[db4ed82] | 268 | self.parent.update_theory(data_id=self.data_id, theory=new_plot) |
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[f3d51f6] | 269 | #Put this call in plottables/guitools |
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[db4ed82] | 270 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, |
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| 271 | title="Sphere P(r)")) |
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[75df58b] | 272 | |
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[f3d51f6] | 273 | |
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[b659551] | 274 | def get_npts(self): |
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| 275 | """ |
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[7116b6e0] | 276 | Returns the number of points in the I(q) data |
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[b659551] | 277 | """ |
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| 278 | try: |
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| 279 | return len(self.pr.x) |
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| 280 | except: |
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| 281 | return 0 |
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| 282 | |
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[f3d51f6] | 283 | def show_iq(self, out, pr, q=None): |
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[7116b6e0] | 284 | """ |
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[75df58b] | 285 | """ |
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[f3d51f6] | 286 | qtemp = pr.x |
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| 287 | if not q==None: |
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| 288 | qtemp = q |
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| 289 | |
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| 290 | # Make a plot |
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| 291 | maxq = -1 |
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| 292 | for q_i in qtemp: |
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| 293 | if q_i>maxq: |
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| 294 | maxq=q_i |
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| 295 | |
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[634f1cf] | 296 | minq = 0.001 |
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| 297 | |
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| 298 | # Check for user min/max |
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| 299 | if not pr.q_min==None: |
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| 300 | minq = pr.q_min |
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| 301 | if not pr.q_max==None: |
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| 302 | maxq = pr.q_max |
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| 303 | |
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| 304 | x = pylab.arange(minq, maxq, maxq/301.0) |
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[f3d51f6] | 305 | y = numpy.zeros(len(x)) |
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| 306 | err = numpy.zeros(len(x)) |
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| 307 | for i in range(len(x)): |
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| 308 | value = pr.iq(out, x[i]) |
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| 309 | y[i] = value |
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| 310 | try: |
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| 311 | err[i] = math.sqrt(math.fabs(value)) |
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| 312 | except: |
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| 313 | err[i] = 1.0 |
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| 314 | print "Error getting error", value, x[i] |
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| 315 | |
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[a07e72f] | 316 | new_plot = Data1D(x, y) |
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| 317 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
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[2a92852] | 318 | new_plot.name = IQ_FIT_LABEL |
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[f3d51f6] | 319 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
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| 320 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
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[d2ee6f6] | 321 | title = "I(q)" |
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[a07e72f] | 322 | new_plot.title = title |
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| 323 | |
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[d2ee6f6] | 324 | # If we have a group ID, use it |
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| 325 | if pr.info.has_key("plot_group_id"): |
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[e88ebfd] | 326 | new_plot.group_id = pr.info["plot_group_id"] |
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[a07e72f] | 327 | new_plot.id = IQ_FIT_LABEL |
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[db4ed82] | 328 | self.parent.update_theory(data_id=self.data_id, theory=new_plot) |
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[d2ee6f6] | 329 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title)) |
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[f3d51f6] | 330 | |
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[2a92852] | 331 | # If we have used slit smearing, plot the smeared I(q) too |
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| 332 | if pr.slit_width>0 or pr.slit_height>0: |
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| 333 | x = pylab.arange(minq, maxq, maxq/301.0) |
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| 334 | y = numpy.zeros(len(x)) |
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| 335 | err = numpy.zeros(len(x)) |
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| 336 | for i in range(len(x)): |
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| 337 | value = pr.iq_smeared(out, x[i]) |
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| 338 | y[i] = value |
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| 339 | try: |
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| 340 | err[i] = math.sqrt(math.fabs(value)) |
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| 341 | except: |
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| 342 | err[i] = 1.0 |
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| 343 | print "Error getting error", value, x[i] |
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| 344 | |
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[a07e72f] | 345 | new_plot = Data1D(x, y) |
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| 346 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
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[2a92852] | 347 | new_plot.name = IQ_SMEARED_LABEL |
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| 348 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
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| 349 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
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[f0ff8d65] | 350 | # If we have a group ID, use it |
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| 351 | if pr.info.has_key("plot_group_id"): |
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[e88ebfd] | 352 | new_plot.group_id = pr.info["plot_group_id"] |
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[a07e72f] | 353 | new_plot.id = IQ_SMEARED_LABEL |
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| 354 | new_plot.title = title |
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[db4ed82] | 355 | self.parent.update_theory(data_id=self.data_id, theory=new_plot) |
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[f0ff8d65] | 356 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title)) |
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[2a92852] | 357 | |
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[b659551] | 358 | def _on_pr_npts(self, evt): |
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| 359 | """ |
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[7116b6e0] | 360 | Redisplay P(r) with a different number of points |
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[b659551] | 361 | """ |
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| 362 | from inversion_panel import PrDistDialog |
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| 363 | dialog = PrDistDialog(None, -1) |
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| 364 | dialog.set_content(self._pr_npts) |
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| 365 | if dialog.ShowModal() == wx.ID_OK: |
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| 366 | self._pr_npts= dialog.get_content() |
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| 367 | dialog.Destroy() |
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[feb21d8] | 368 | self.show_pr(self._last_out, self._last_pr, self._last_cov) |
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[b659551] | 369 | else: |
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| 370 | dialog.Destroy() |
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[f3d51f6] | 371 | |
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| 372 | |
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| 373 | def show_pr(self, out, pr, cov=None): |
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[7116b6e0] | 374 | """ |
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[75df58b] | 375 | """ |
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[f3d51f6] | 376 | # Show P(r) |
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[b659551] | 377 | x = pylab.arange(0.0, pr.d_max, pr.d_max/self._pr_npts) |
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[f3d51f6] | 378 | |
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| 379 | y = numpy.zeros(len(x)) |
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| 380 | dy = numpy.zeros(len(x)) |
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| 381 | y_true = numpy.zeros(len(x)) |
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| 382 | |
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| 383 | sum = 0.0 |
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[feb21d8] | 384 | pmax = 0.0 |
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[dfb58f8] | 385 | cov2 = numpy.ascontiguousarray(cov) |
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| 386 | |
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[f3d51f6] | 387 | for i in range(len(x)): |
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[dfb58f8] | 388 | if cov2==None: |
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[f3d51f6] | 389 | value = pr.pr(out, x[i]) |
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| 390 | else: |
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[dfb58f8] | 391 | (value, dy[i]) = pr.pr_err(out, cov2, x[i]) |
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[660b1e6] | 392 | sum += value*pr.d_max/len(x) |
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[f3d51f6] | 393 | |
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[feb21d8] | 394 | # keep track of the maximum P(r) value |
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| 395 | if value>pmax: |
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| 396 | pmax = value |
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| 397 | |
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| 398 | y[i] = value |
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| 399 | |
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| 400 | if self._normalize_output==True: |
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| 401 | y = y/sum |
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| 402 | dy = dy/sum |
---|
| 403 | elif self._scale_output_unity==True: |
---|
| 404 | y = y/pmax |
---|
| 405 | dy = dy/pmax |
---|
[f3d51f6] | 406 | |
---|
[dfb58f8] | 407 | if cov2==None: |
---|
[a07e72f] | 408 | new_plot = Data1D(x, y) |
---|
| 409 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
---|
[f3d51f6] | 410 | else: |
---|
[a07e72f] | 411 | new_plot = Data1D(x, y, dy=dy) |
---|
[f1181977] | 412 | new_plot.name = PR_FIT_LABEL |
---|
[f3d51f6] | 413 | new_plot.xaxis("\\rm{r}", 'A') |
---|
| 414 | new_plot.yaxis("\\rm{P(r)} ","cm^{-3}") |
---|
[75df58b] | 415 | new_plot.title = "P(r) fit" |
---|
[a07e72f] | 416 | new_plot.id = PR_FIT_LABEL |
---|
[d2ee6f6] | 417 | # Make sure that the plot is linear |
---|
[75fbd17] | 418 | new_plot.xtransform = "x" |
---|
[a3149c5] | 419 | new_plot.ytransform = "y" |
---|
[e88ebfd] | 420 | new_plot.group_id = "P(r) fit" |
---|
[db4ed82] | 421 | self.parent.update_theory(data_id=self.data_id, theory=new_plot) |
---|
[f3d51f6] | 422 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="P(r) fit")) |
---|
| 423 | return x, pr.d_max |
---|
[db4ed82] | 424 | |
---|
[75df58b] | 425 | def load(self, data): |
---|
[0bae207] | 426 | """ |
---|
[7116b6e0] | 427 | Load data. This will eventually be replaced |
---|
| 428 | by our standard DataLoader class. |
---|
[0bae207] | 429 | """ |
---|
| 430 | class FileData: |
---|
| 431 | x = None |
---|
| 432 | y = None |
---|
| 433 | err = None |
---|
| 434 | path = None |
---|
| 435 | |
---|
| 436 | def __init__(self, path): |
---|
| 437 | self.path = path |
---|
| 438 | |
---|
[75df58b] | 439 | self._current_file_data = FileData(data.path) |
---|
[0bae207] | 440 | |
---|
[aab8ad7] | 441 | # Use data loader to load file |
---|
[75df58b] | 442 | #dataread = Loader().load(path) |
---|
| 443 | dataread = data |
---|
[ceaf16e] | 444 | # Notify the user if we could not read the file |
---|
| 445 | if dataread is None: |
---|
| 446 | raise RuntimeError, "Invalid data" |
---|
| 447 | |
---|
[aab8ad7] | 448 | x = None |
---|
| 449 | y = None |
---|
| 450 | err = None |
---|
| 451 | if dataread.__class__.__name__ == 'Data1D': |
---|
| 452 | x = dataread.x |
---|
| 453 | y = dataread.y |
---|
| 454 | err = dataread.dy |
---|
| 455 | else: |
---|
[e43c012] | 456 | if isinstance(dataread, list) and len(dataread)>0: |
---|
| 457 | x = dataread[0].x |
---|
| 458 | y = dataread[0].y |
---|
| 459 | err = dataread[0].dy |
---|
| 460 | msg = "PrView only allows a single data set at a time. " |
---|
| 461 | msg += "Only the first data set was loaded." |
---|
| 462 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
---|
| 463 | else: |
---|
[6f1f129] | 464 | if dataread is None: |
---|
| 465 | return x, y, err |
---|
[e43c012] | 466 | raise RuntimeError, "This tool can only read 1D data" |
---|
[aab8ad7] | 467 | |
---|
[0bae207] | 468 | self._current_file_data.x = x |
---|
| 469 | self._current_file_data.y = y |
---|
| 470 | self._current_file_data.err = err |
---|
| 471 | return x, y, err |
---|
| 472 | |
---|
| 473 | def load_columns(self, path = "sphere_60_q0_2.txt"): |
---|
| 474 | """ |
---|
[7116b6e0] | 475 | Load 2- or 3- column ascii |
---|
[0bae207] | 476 | """ |
---|
[f3d51f6] | 477 | import numpy, math, sys |
---|
| 478 | # Read the data from the data file |
---|
| 479 | data_x = numpy.zeros(0) |
---|
| 480 | data_y = numpy.zeros(0) |
---|
| 481 | data_err = numpy.zeros(0) |
---|
[b659551] | 482 | scale = None |
---|
| 483 | min_err = 0.0 |
---|
[f3d51f6] | 484 | if not path == None: |
---|
| 485 | input_f = open(path,'r') |
---|
| 486 | buff = input_f.read() |
---|
| 487 | lines = buff.split('\n') |
---|
| 488 | for line in lines: |
---|
| 489 | try: |
---|
| 490 | toks = line.split() |
---|
| 491 | x = float(toks[0]) |
---|
| 492 | y = float(toks[1]) |
---|
[b659551] | 493 | if len(toks)>2: |
---|
| 494 | err = float(toks[2]) |
---|
| 495 | else: |
---|
| 496 | if scale==None: |
---|
| 497 | scale = 0.05*math.sqrt(y) |
---|
| 498 | #scale = 0.05/math.sqrt(y) |
---|
| 499 | min_err = 0.01*y |
---|
| 500 | err = scale*math.sqrt(y)+min_err |
---|
| 501 | #err = 0 |
---|
| 502 | |
---|
[4a5de6f] | 503 | data_x = numpy.append(data_x, x) |
---|
| 504 | data_y = numpy.append(data_y, y) |
---|
[b659551] | 505 | data_err = numpy.append(data_err, err) |
---|
[f3d51f6] | 506 | except: |
---|
[b659551] | 507 | pass |
---|
[f3d51f6] | 508 | |
---|
[357b79b] | 509 | if not scale==None: |
---|
| 510 | message = "The loaded file had no error bars, statistical errors are assumed." |
---|
| 511 | wx.PostEvent(self.parent, StatusEvent(status=message)) |
---|
| 512 | else: |
---|
| 513 | wx.PostEvent(self.parent, StatusEvent(status='')) |
---|
| 514 | |
---|
[b659551] | 515 | return data_x, data_y, data_err |
---|
[f3d51f6] | 516 | |
---|
[0bae207] | 517 | def load_abs(self, path): |
---|
| 518 | """ |
---|
[7116b6e0] | 519 | Load an IGOR .ABS reduced file |
---|
| 520 | |
---|
| 521 | :param path: file path |
---|
| 522 | |
---|
| 523 | :return: x, y, err vectors |
---|
| 524 | |
---|
[0bae207] | 525 | """ |
---|
| 526 | import numpy, math, sys |
---|
| 527 | # Read the data from the data file |
---|
| 528 | data_x = numpy.zeros(0) |
---|
| 529 | data_y = numpy.zeros(0) |
---|
| 530 | data_err = numpy.zeros(0) |
---|
| 531 | scale = None |
---|
| 532 | min_err = 0.0 |
---|
| 533 | |
---|
| 534 | data_started = False |
---|
| 535 | if not path == None: |
---|
| 536 | input_f = open(path,'r') |
---|
| 537 | buff = input_f.read() |
---|
| 538 | lines = buff.split('\n') |
---|
| 539 | for line in lines: |
---|
| 540 | if data_started==True: |
---|
| 541 | try: |
---|
| 542 | toks = line.split() |
---|
| 543 | x = float(toks[0]) |
---|
| 544 | y = float(toks[1]) |
---|
| 545 | if len(toks)>2: |
---|
| 546 | err = float(toks[2]) |
---|
| 547 | else: |
---|
| 548 | if scale==None: |
---|
| 549 | scale = 0.05*math.sqrt(y) |
---|
| 550 | #scale = 0.05/math.sqrt(y) |
---|
| 551 | min_err = 0.01*y |
---|
| 552 | err = scale*math.sqrt(y)+min_err |
---|
| 553 | #err = 0 |
---|
| 554 | |
---|
| 555 | data_x = numpy.append(data_x, x) |
---|
| 556 | data_y = numpy.append(data_y, y) |
---|
| 557 | data_err = numpy.append(data_err, err) |
---|
| 558 | except: |
---|
| 559 | pass |
---|
| 560 | elif line.find("The 6 columns")>=0: |
---|
| 561 | data_started = True |
---|
| 562 | |
---|
| 563 | if not scale==None: |
---|
| 564 | message = "The loaded file had no error bars, statistical errors are assumed." |
---|
| 565 | wx.PostEvent(self.parent, StatusEvent(status=message)) |
---|
| 566 | else: |
---|
| 567 | wx.PostEvent(self.parent, StatusEvent(status='')) |
---|
| 568 | |
---|
| 569 | return data_x, data_y, data_err |
---|
| 570 | |
---|
[f3d51f6] | 571 | def pr_theory(self, r, R): |
---|
[7116b6e0] | 572 | """ |
---|
[f3d51f6] | 573 | """ |
---|
| 574 | if r<=2*R: |
---|
| 575 | return 12.0* ((0.5*r/R)**2) * ((1.0-0.5*r/R)**2) * ( 2.0 + 0.5*r/R ) |
---|
| 576 | else: |
---|
| 577 | return 0.0 |
---|
| 578 | |
---|
[a07e72f] | 579 | def get_context_menu(self, plotpanel=None): |
---|
[f3d51f6] | 580 | """ |
---|
[7116b6e0] | 581 | Get the context menu items available for P(r) |
---|
| 582 | |
---|
| 583 | :param graph: the Graph object to which we attach the context menu |
---|
| 584 | |
---|
| 585 | :return: a list of menu items with call-back function |
---|
| 586 | |
---|
[f3d51f6] | 587 | """ |
---|
[a07e72f] | 588 | graph = plotpanel.graph |
---|
[660b1e6] | 589 | # Look whether this Graph contains P(r) data |
---|
[a07e72f] | 590 | if graph.selected_plottable not in plotpanel.plots: |
---|
| 591 | return [] |
---|
| 592 | item = plotpanel.plots[graph.selected_plottable] |
---|
| 593 | if item.id == PR_FIT_LABEL: |
---|
| 594 | #add_data_hint = "Load a data file and display it on this plot" |
---|
| 595 | #["Add P(r) data",add_data_hint , self._on_add_data], |
---|
| 596 | change_n_hint = "Change the number of" |
---|
| 597 | change_n_hint += " points on the P(r) output" |
---|
| 598 | change_n_label = "Change number of P(r) points" |
---|
| 599 | m_list = [[change_n_label, change_n_hint , self._on_pr_npts]] |
---|
[feb21d8] | 600 | |
---|
[a07e72f] | 601 | if self._scale_output_unity or self._normalize_output: |
---|
| 602 | hint = "Let the output P(r) keep the scale of the data" |
---|
| 603 | m_list.append(["Disable P(r) scaling", hint, |
---|
| 604 | self._on_disable_scaling]) |
---|
| 605 | if not self._scale_output_unity: |
---|
| 606 | m_list.append(["Scale P_max(r) to unity", |
---|
| 607 | "Scale P(r) so that its maximum is 1", |
---|
| 608 | self._on_scale_unity]) |
---|
| 609 | if not self._normalize_output: |
---|
| 610 | m_list.append(["Normalize P(r) to unity", |
---|
| 611 | "Normalize the integral of P(r) to 1", |
---|
| 612 | self._on_normalize]) |
---|
| 613 | |
---|
| 614 | return m_list |
---|
| 615 | |
---|
| 616 | elif item.id in [PR_LOADED_LABEL, IQ_DATA_LABEL, IQ_FIT_LABEL, |
---|
| 617 | IQ_SMEARED_LABEL]: |
---|
| 618 | return [] |
---|
| 619 | elif item.id == graph.selected_plottable: |
---|
| 620 | if not self.standalone and issubclass(item.__class__, Data1D): |
---|
| 621 | return [["Compute P(r)", |
---|
[75df58b] | 622 | "Compute P(r) from distribution", |
---|
| 623 | self._on_context_inversion]] |
---|
[660b1e6] | 624 | |
---|
[aa4b8379] | 625 | return [] |
---|
[660b1e6] | 626 | |
---|
[feb21d8] | 627 | def _on_disable_scaling(self, evt): |
---|
| 628 | """ |
---|
[7116b6e0] | 629 | Disable P(r) scaling |
---|
| 630 | |
---|
| 631 | :param evt: Menu event |
---|
| 632 | |
---|
[feb21d8] | 633 | """ |
---|
| 634 | self._normalize_output = False |
---|
| 635 | self._scale_output_unity = False |
---|
| 636 | self.show_pr(self._last_out, self._last_pr, self._last_cov) |
---|
| 637 | |
---|
[f1181977] | 638 | # Now replot the original added data |
---|
| 639 | for plot in self._added_plots: |
---|
| 640 | self._added_plots[plot].y = numpy.copy(self._default_Iq[plot]) |
---|
[75df58b] | 641 | wx.PostEvent(self.parent, |
---|
| 642 | NewPlotEvent(plot=self._added_plots[plot], |
---|
| 643 | title=self._added_plots[plot].name, |
---|
[f1181977] | 644 | update=True)) |
---|
| 645 | |
---|
| 646 | # Need the update flag in the NewPlotEvent to protect against |
---|
| 647 | # the plot no longer being there... |
---|
| 648 | |
---|
[feb21d8] | 649 | def _on_normalize(self, evt): |
---|
| 650 | """ |
---|
[7116b6e0] | 651 | Normalize the area under the P(r) curve to 1. |
---|
| 652 | This operation is done for all displayed plots. |
---|
| 653 | |
---|
| 654 | :param evt: Menu event |
---|
| 655 | |
---|
[feb21d8] | 656 | """ |
---|
| 657 | self._normalize_output = True |
---|
| 658 | self._scale_output_unity = False |
---|
| 659 | |
---|
| 660 | self.show_pr(self._last_out, self._last_pr, self._last_cov) |
---|
| 661 | |
---|
[f1181977] | 662 | # Now scale the added plots too |
---|
| 663 | for plot in self._added_plots: |
---|
| 664 | sum = numpy.sum(self._added_plots[plot].y) |
---|
| 665 | npts = len(self._added_plots[plot].x) |
---|
| 666 | sum *= self._added_plots[plot].x[npts-1]/npts |
---|
| 667 | y = self._added_plots[plot].y/sum |
---|
| 668 | |
---|
[a07e72f] | 669 | new_plot = Data1D(self._added_plots[plot].x, y) |
---|
| 670 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
---|
[e88ebfd] | 671 | new_plot.group_id = self._added_plots[plot].group_id |
---|
[a07e72f] | 672 | new_plot.id = self._added_plots[plot].id |
---|
| 673 | new_plot.title = self._added_plots[plot].title |
---|
[f1181977] | 674 | new_plot.name = self._added_plots[plot].name |
---|
| 675 | new_plot.xaxis("\\rm{r}", 'A') |
---|
| 676 | new_plot.yaxis("\\rm{P(r)} ","cm^{-3}") |
---|
[db4ed82] | 677 | self.parent.update_theory(data_id=self.data_id, theory=new_plot) |
---|
[75df58b] | 678 | wx.PostEvent(self.parent, |
---|
| 679 | NewPlotEvent(plot=new_plot, update=True, |
---|
| 680 | title=self._added_plots[plot].name)) |
---|
[f1181977] | 681 | |
---|
[feb21d8] | 682 | def _on_scale_unity(self, evt): |
---|
| 683 | """ |
---|
[7116b6e0] | 684 | Scale the maximum P(r) value on each displayed plot to 1. |
---|
| 685 | |
---|
| 686 | :param evt: Menu event |
---|
| 687 | |
---|
[feb21d8] | 688 | """ |
---|
| 689 | self._scale_output_unity = True |
---|
| 690 | self._normalize_output = False |
---|
| 691 | |
---|
| 692 | self.show_pr(self._last_out, self._last_pr, self._last_cov) |
---|
| 693 | |
---|
[f1181977] | 694 | # Now scale the added plots too |
---|
| 695 | for plot in self._added_plots: |
---|
| 696 | _max = 0 |
---|
| 697 | for y in self._added_plots[plot].y: |
---|
| 698 | if y>_max: |
---|
| 699 | _max = y |
---|
| 700 | y = self._added_plots[plot].y/_max |
---|
| 701 | |
---|
[a07e72f] | 702 | new_plot = Data1D(self._added_plots[plot].x, y) |
---|
| 703 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
---|
[f1181977] | 704 | new_plot.name = self._added_plots[plot].name |
---|
| 705 | new_plot.xaxis("\\rm{r}", 'A') |
---|
| 706 | new_plot.yaxis("\\rm{P(r)} ","cm^{-3}") |
---|
[db4ed82] | 707 | self.parent.update_theory(data_id=self.data_id,theory=new_plot) |
---|
[75df58b] | 708 | wx.PostEvent(self.parent, |
---|
| 709 | NewPlotEvent(plot=new_plot, update=True, |
---|
| 710 | title=self._added_plots[plot].name)) |
---|
[f1181977] | 711 | |
---|
| 712 | |
---|
[660b1e6] | 713 | def _on_add_data(self, evt): |
---|
| 714 | """ |
---|
[7116b6e0] | 715 | Add a data curve to the plot |
---|
| 716 | |
---|
| 717 | :WARNING: this will be removed once guiframe.plotting has |
---|
| 718 | its full functionality |
---|
[660b1e6] | 719 | """ |
---|
| 720 | path = self.choose_file() |
---|
| 721 | if path==None: |
---|
| 722 | return |
---|
| 723 | |
---|
[14d05ba] | 724 | #x, y, err = self.parent.load_ascii_1D(path) |
---|
| 725 | # Use data loader to load file |
---|
| 726 | try: |
---|
| 727 | dataread = Loader().load(path) |
---|
| 728 | x = None |
---|
| 729 | y = None |
---|
| 730 | err = None |
---|
| 731 | if dataread.__class__.__name__ == 'Data1D': |
---|
| 732 | x = dataread.x |
---|
| 733 | y = dataread.y |
---|
| 734 | err = dataread.dy |
---|
| 735 | else: |
---|
[e43c012] | 736 | if isinstance(dataread, list) and len(dataread)>0: |
---|
| 737 | x = dataread[0].x |
---|
| 738 | y = dataread[0].y |
---|
| 739 | err = dataread[0].dy |
---|
| 740 | msg = "PrView only allows a single data set at a time. " |
---|
| 741 | msg += "Only the first data set was loaded." |
---|
| 742 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
---|
| 743 | else: |
---|
[75df58b] | 744 | msg = "This tool can only read 1D data" |
---|
| 745 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
---|
[e43c012] | 746 | return |
---|
| 747 | |
---|
[14d05ba] | 748 | except: |
---|
| 749 | wx.PostEvent(self.parent, StatusEvent(status=sys.exc_value)) |
---|
| 750 | return |
---|
[660b1e6] | 751 | |
---|
[f1181977] | 752 | filename = os.path.basename(path) |
---|
[a07e72f] | 753 | new_plot = Data1D(x, y) |
---|
| 754 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
---|
[f1181977] | 755 | new_plot.name = filename |
---|
[660b1e6] | 756 | new_plot.xaxis("\\rm{r}", 'A') |
---|
| 757 | new_plot.yaxis("\\rm{P(r)} ","cm^{-3}") |
---|
[f1181977] | 758 | # Store a ref to the plottable for later use |
---|
| 759 | self._added_plots[filename] = new_plot |
---|
| 760 | self._default_Iq[filename] = numpy.copy(y) |
---|
| 761 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=filename)) |
---|
[660b1e6] | 762 | |
---|
[f3d51f6] | 763 | def start_thread(self): |
---|
[7116b6e0] | 764 | """ |
---|
| 765 | """ |
---|
[f3d51f6] | 766 | from pr_thread import CalcPr |
---|
| 767 | from copy import deepcopy |
---|
| 768 | |
---|
| 769 | # If a thread is already started, stop it |
---|
| 770 | if self.calc_thread != None and self.calc_thread.isrunning(): |
---|
| 771 | self.calc_thread.stop() |
---|
| 772 | |
---|
| 773 | pr = self.pr.clone() |
---|
[75df58b] | 774 | self.calc_thread = CalcPr(pr, self.nfunc, |
---|
| 775 | error_func=self._thread_error, |
---|
| 776 | completefn=self._completed, updatefn=None) |
---|
[f3d51f6] | 777 | self.calc_thread.queue() |
---|
| 778 | self.calc_thread.ready(2.5) |
---|
| 779 | |
---|
| 780 | def _thread_error(self, error): |
---|
[7116b6e0] | 781 | """ |
---|
| 782 | """ |
---|
[f3d51f6] | 783 | wx.PostEvent(self.parent, StatusEvent(status=error)) |
---|
| 784 | |
---|
[32dffae4] | 785 | def _estimate_completed(self, alpha, message, elapsed): |
---|
[f3d51f6] | 786 | """ |
---|
[7116b6e0] | 787 | Parameter estimation completed, |
---|
| 788 | display the results to the user |
---|
| 789 | |
---|
| 790 | :param alpha: estimated best alpha |
---|
| 791 | :param elapsed: computation time |
---|
| 792 | |
---|
[f3d51f6] | 793 | """ |
---|
| 794 | # Save useful info |
---|
| 795 | self.elapsed = elapsed |
---|
| 796 | self.control_panel.alpha_estimate = alpha |
---|
[32dffae4] | 797 | if not message==None: |
---|
| 798 | wx.PostEvent(self.parent, StatusEvent(status=str(message))) |
---|
[35adaf6] | 799 | self.perform_estimateNT() |
---|
| 800 | |
---|
| 801 | def _estimateNT_completed(self, nterms, alpha, message, elapsed): |
---|
| 802 | """ |
---|
[7116b6e0] | 803 | Parameter estimation completed, |
---|
| 804 | display the results to the user |
---|
| 805 | |
---|
| 806 | :param alpha: estimated best alpha |
---|
| 807 | :param nterms: estimated number of terms |
---|
| 808 | :param elapsed: computation time |
---|
| 809 | |
---|
[35adaf6] | 810 | """ |
---|
| 811 | # Save useful info |
---|
| 812 | self.elapsed = elapsed |
---|
| 813 | self.control_panel.nterms_estimate = nterms |
---|
| 814 | self.control_panel.alpha_estimate = alpha |
---|
| 815 | if not message==None: |
---|
| 816 | wx.PostEvent(self.parent, StatusEvent(status=str(message))) |
---|
[f3d51f6] | 817 | |
---|
| 818 | def _completed(self, out, cov, pr, elapsed): |
---|
| 819 | """ |
---|
[7116b6e0] | 820 | Method called with the results when the inversion |
---|
| 821 | is done |
---|
| 822 | |
---|
| 823 | :param out: output coefficient for the base functions |
---|
| 824 | :param cov: covariance matrix |
---|
| 825 | :param pr: Invertor instance |
---|
| 826 | :param elapsed: time spent computing |
---|
| 827 | |
---|
[f3d51f6] | 828 | """ |
---|
[dfb58f8] | 829 | from copy import deepcopy |
---|
[f3d51f6] | 830 | # Save useful info |
---|
| 831 | self.elapsed = elapsed |
---|
[feb21d8] | 832 | # Keep a copy of the last result |
---|
| 833 | self._last_pr = pr.clone() |
---|
| 834 | self._last_out = out |
---|
| 835 | self._last_cov = cov |
---|
| 836 | |
---|
[b659551] | 837 | # Save Pr invertor |
---|
| 838 | self.pr = pr |
---|
| 839 | |
---|
[75df58b] | 840 | #message = "Computation completed in" |
---|
| 841 | #message += %g seconds [chi2=%g]" % (elapsed, pr.chi2) |
---|
[d6113849] | 842 | #wx.PostEvent(self.parent, StatusEvent(status=message)) |
---|
[f3d51f6] | 843 | |
---|
[dfb58f8] | 844 | cov = numpy.ascontiguousarray(cov) |
---|
| 845 | |
---|
[f3d51f6] | 846 | # Show result on control panel |
---|
| 847 | self.control_panel.chi2 = pr.chi2 |
---|
| 848 | self.control_panel.elapsed = elapsed |
---|
| 849 | self.control_panel.oscillation = pr.oscillations(out) |
---|
| 850 | #print "OSCILL", pr.oscillations(out) |
---|
[d6113849] | 851 | #print "PEAKS:", pr.get_peaks(out) |
---|
[dfb58f8] | 852 | self.control_panel.positive = pr.get_positive(out) |
---|
| 853 | self.control_panel.pos_err = pr.get_pos_err(out, cov) |
---|
[a4bd2ac] | 854 | self.control_panel.rg = pr.rg(out) |
---|
| 855 | self.control_panel.iq0 = pr.iq0(out) |
---|
| 856 | self.control_panel.bck = pr.background |
---|
[f3d51f6] | 857 | |
---|
[aa4b8379] | 858 | if False: |
---|
[0bae207] | 859 | for i in range(len(out)): |
---|
| 860 | try: |
---|
[75df58b] | 861 | print "%d: %g +- %g" % (i, out[i], |
---|
| 862 | math.sqrt(math.fabs(cov[i][i]))) |
---|
[0bae207] | 863 | except: |
---|
| 864 | print sys.exc_value |
---|
| 865 | print "%d: %g +- ?" % (i, out[i]) |
---|
| 866 | |
---|
| 867 | # Make a plot of I(q) data |
---|
[aa4b8379] | 868 | new_plot = Data1D(self.pr.x, self.pr.y, dy=self.pr.err) |
---|
[f1181977] | 869 | new_plot.name = IQ_DATA_LABEL |
---|
[aa4b8379] | 870 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
---|
| 871 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
---|
[a07e72f] | 872 | if pr.info.has_key("plot_group_id"): |
---|
[e88ebfd] | 873 | new_plot.group_id = pr.info["plot_group_id"] |
---|
[db4ed82] | 874 | new_plot.id = self.data_id |
---|
| 875 | self.parent.update_theory(data_id=self.data_id, |
---|
[a3149c5] | 876 | theory=new_plot) |
---|
[aa4b8379] | 877 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Iq")) |
---|
[f3d51f6] | 878 | |
---|
| 879 | # Show I(q) fit |
---|
| 880 | self.show_iq(out, self.pr) |
---|
| 881 | |
---|
| 882 | # Show P(r) fit |
---|
[dfb58f8] | 883 | x_values, x_range = self.show_pr(out, self.pr, cov) |
---|
[f3d51f6] | 884 | |
---|
| 885 | # Popup result panel |
---|
[75df58b] | 886 | #result_panel = InversionResults(self.parent, |
---|
| 887 | #-1, style=wx.RAISED_BORDER) |
---|
[f3d51f6] | 888 | |
---|
[75df58b] | 889 | def show_data(self, path=None, data=None, reset=False): |
---|
[2a92852] | 890 | """ |
---|
[7116b6e0] | 891 | Show data read from a file |
---|
| 892 | |
---|
| 893 | :param path: file path |
---|
| 894 | :param reset: if True all other plottables will be cleared |
---|
| 895 | |
---|
[2a92852] | 896 | """ |
---|
[75df58b] | 897 | #if path is not None: |
---|
| 898 | if data is not None: |
---|
[ea5551f] | 899 | try: |
---|
[75df58b] | 900 | pr = self._create_file_pr(data) |
---|
[ceaf16e] | 901 | except: |
---|
[75df58b] | 902 | status = "Problem reading data: %s" % sys.exc_value |
---|
[ceaf16e] | 903 | wx.PostEvent(self.parent, StatusEvent(status=status)) |
---|
| 904 | raise RuntimeError, status |
---|
[6f1f129] | 905 | |
---|
[ceaf16e] | 906 | # If the file contains nothing, just return |
---|
| 907 | if pr is None: |
---|
| 908 | raise RuntimeError, "Loaded data is invalid" |
---|
| 909 | |
---|
| 910 | self.pr = pr |
---|
[75df58b] | 911 | |
---|
[660b1e6] | 912 | # Make a plot of I(q) data |
---|
[a07e72f] | 913 | if self.pr.err == None: |
---|
| 914 | new_plot = Data1D(self.pr.x, self.pr.y) |
---|
| 915 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
---|
[357b79b] | 916 | else: |
---|
| 917 | new_plot = Data1D(self.pr.x, self.pr.y, dy=self.pr.err) |
---|
[f1181977] | 918 | new_plot.name = IQ_DATA_LABEL |
---|
[660b1e6] | 919 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
---|
| 920 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
---|
[aa4b8379] | 921 | new_plot.interactive = True |
---|
[e88ebfd] | 922 | new_plot.group_id = IQ_DATA_LABEL |
---|
[db4ed82] | 923 | new_plot.id = self.data_id |
---|
| 924 | new_plot.title = "I(q)" |
---|
[75df58b] | 925 | wx.PostEvent(self.parent, |
---|
| 926 | NewPlotEvent(plot=new_plot, title="I(q)", reset=reset)) |
---|
[660b1e6] | 927 | |
---|
[0d88a09] | 928 | self.current_plottable = new_plot |
---|
[aa4b8379] | 929 | # Get Q range |
---|
| 930 | self.control_panel.q_min = self.pr.x.min() |
---|
| 931 | self.control_panel.q_max = self.pr.x.max() |
---|
| 932 | |
---|
[410aad8] | 933 | def save_data(self, filepath, prstate=None): |
---|
| 934 | """ |
---|
[7116b6e0] | 935 | Save data in provided state object. |
---|
| 936 | |
---|
| 937 | :TODO: move the state code away from inversion_panel and move it here. |
---|
| 938 | Then remove the "prstate" input and make this method private. |
---|
| 939 | |
---|
| 940 | :param filepath: path of file to write to |
---|
| 941 | :param prstate: P(r) inversion state |
---|
| 942 | |
---|
[410aad8] | 943 | """ |
---|
| 944 | #TODO: do we need this or can we use DataLoader.loader.save directly? |
---|
| 945 | |
---|
| 946 | # Add output data and coefficients to state |
---|
| 947 | prstate.coefficients = self._last_out |
---|
| 948 | prstate.covariance = self._last_cov |
---|
| 949 | |
---|
| 950 | # Write the output to file |
---|
[0ab485b] | 951 | # First, check that the data is of the right type |
---|
[75df58b] | 952 | if issubclass(self.current_plottable.__class__, |
---|
| 953 | DataLoader.data_info.Data1D): |
---|
[0ab485b] | 954 | self.state_reader.write(filepath, self.current_plottable, prstate) |
---|
| 955 | else: |
---|
[75df58b] | 956 | msg = "pr.save_data: the data being saved is not a" |
---|
| 957 | msg += " DataLoader.data_info.Data1D object" |
---|
| 958 | raise RuntimeError, msg |
---|
[410aad8] | 959 | |
---|
[660b1e6] | 960 | |
---|
[2a92852] | 961 | def setup_plot_inversion(self, alpha, nfunc, d_max, q_min=None, q_max=None, |
---|
| 962 | bck=False, height=0, width=0): |
---|
[7116b6e0] | 963 | """ |
---|
| 964 | """ |
---|
[f3d51f6] | 965 | self.alpha = alpha |
---|
| 966 | self.nfunc = nfunc |
---|
| 967 | self.max_length = d_max |
---|
[634f1cf] | 968 | self.q_min = q_min |
---|
| 969 | self.q_max = q_max |
---|
[a4bd2ac] | 970 | self.has_bck = bck |
---|
[2a92852] | 971 | self.slit_height = height |
---|
| 972 | self.slit_width = width |
---|
[f3d51f6] | 973 | |
---|
[4a5de6f] | 974 | try: |
---|
[2a92852] | 975 | pr = self._create_plot_pr() |
---|
| 976 | if not pr==None: |
---|
| 977 | self.pr = pr |
---|
| 978 | self.perform_inversion() |
---|
[4a5de6f] | 979 | except: |
---|
| 980 | wx.PostEvent(self.parent, StatusEvent(status=sys.exc_value)) |
---|
[f3d51f6] | 981 | |
---|
[75df58b] | 982 | def estimate_plot_inversion(self, alpha, nfunc, d_max, |
---|
| 983 | q_min=None, q_max=None, |
---|
[2a92852] | 984 | bck=False, height=0, width=0): |
---|
[7116b6e0] | 985 | """ |
---|
| 986 | """ |
---|
[f3d51f6] | 987 | self.alpha = alpha |
---|
| 988 | self.nfunc = nfunc |
---|
| 989 | self.max_length = d_max |
---|
[634f1cf] | 990 | self.q_min = q_min |
---|
| 991 | self.q_max = q_max |
---|
[a4bd2ac] | 992 | self.has_bck = bck |
---|
[2a92852] | 993 | self.slit_height = height |
---|
| 994 | self.slit_width = width |
---|
[f3d51f6] | 995 | |
---|
[4a5de6f] | 996 | try: |
---|
[2a92852] | 997 | pr = self._create_plot_pr() |
---|
| 998 | if not pr==None: |
---|
| 999 | self.pr = pr |
---|
| 1000 | self.perform_estimate() |
---|
[4a5de6f] | 1001 | except: |
---|
| 1002 | wx.PostEvent(self.parent, StatusEvent(status=sys.exc_value)) |
---|
[f3d51f6] | 1003 | |
---|
[2a92852] | 1004 | def _create_plot_pr(self, estimate=False): |
---|
[f3d51f6] | 1005 | """ |
---|
[7116b6e0] | 1006 | Create and prepare invertor instance from |
---|
| 1007 | a plottable data set. |
---|
| 1008 | |
---|
| 1009 | :param path: path of the file to read in |
---|
| 1010 | |
---|
[f3d51f6] | 1011 | """ |
---|
[ceaf16e] | 1012 | # Sanity check |
---|
| 1013 | if self.current_plottable is None: |
---|
| 1014 | msg = "Please load a valid data set before proceeding." |
---|
| 1015 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
---|
| 1016 | return None |
---|
| 1017 | |
---|
[f3d51f6] | 1018 | # Get the data from the chosen data set and perform inversion |
---|
| 1019 | pr = Invertor() |
---|
| 1020 | pr.d_max = self.max_length |
---|
| 1021 | pr.alpha = self.alpha |
---|
[634f1cf] | 1022 | pr.q_min = self.q_min |
---|
| 1023 | pr.q_max = self.q_max |
---|
[f3d51f6] | 1024 | pr.x = self.current_plottable.x |
---|
| 1025 | pr.y = self.current_plottable.y |
---|
[a4bd2ac] | 1026 | pr.has_bck = self.has_bck |
---|
[2a92852] | 1027 | pr.slit_height = self.slit_height |
---|
| 1028 | pr.slit_width = self.slit_width |
---|
[f3d51f6] | 1029 | |
---|
[d2ee6f6] | 1030 | # Keep track of the plot window title to ensure that |
---|
| 1031 | # we can overlay the plots |
---|
[e88ebfd] | 1032 | pr.info["plot_group_id"] = self.current_plottable.group_id |
---|
[d2ee6f6] | 1033 | |
---|
[f3d51f6] | 1034 | # Fill in errors if none were provided |
---|
[d2ee6f6] | 1035 | err = self.current_plottable.dy |
---|
| 1036 | all_zeros = True |
---|
| 1037 | if err == None: |
---|
[d483799] | 1038 | err = numpy.zeros(len(pr.y)) |
---|
[d2ee6f6] | 1039 | else: |
---|
| 1040 | for i in range(len(err)): |
---|
| 1041 | if err[i]>0: |
---|
| 1042 | all_zeros = False |
---|
| 1043 | |
---|
| 1044 | if all_zeros: |
---|
| 1045 | scale = None |
---|
| 1046 | min_err = 0.0 |
---|
[f3d51f6] | 1047 | for i in range(len(pr.y)): |
---|
[d2ee6f6] | 1048 | # Scale the error so that we can fit over several decades of Q |
---|
| 1049 | if scale==None: |
---|
| 1050 | scale = 0.05*math.sqrt(pr.y[i]) |
---|
| 1051 | min_err = 0.01*pr.y[i] |
---|
| 1052 | err[i] = scale*math.sqrt( math.fabs(pr.y[i]) ) + min_err |
---|
[75df58b] | 1053 | message = "The loaded file had no error bars, " |
---|
| 1054 | message += "statistical errors are assumed." |
---|
[d2ee6f6] | 1055 | wx.PostEvent(self.parent, StatusEvent(status=message)) |
---|
| 1056 | |
---|
| 1057 | pr.err = err |
---|
[2a92852] | 1058 | |
---|
| 1059 | return pr |
---|
[f3d51f6] | 1060 | |
---|
| 1061 | |
---|
[75df58b] | 1062 | def setup_file_inversion(self, alpha, nfunc, d_max, data, |
---|
| 1063 | path=None, q_min=None, q_max=None, |
---|
[2a92852] | 1064 | bck=False, height=0, width=0): |
---|
[7116b6e0] | 1065 | """ |
---|
| 1066 | """ |
---|
[f3d51f6] | 1067 | self.alpha = alpha |
---|
| 1068 | self.nfunc = nfunc |
---|
| 1069 | self.max_length = d_max |
---|
[634f1cf] | 1070 | self.q_min = q_min |
---|
| 1071 | self.q_max = q_max |
---|
[a4bd2ac] | 1072 | self.has_bck = bck |
---|
[2a92852] | 1073 | self.slit_height = height |
---|
| 1074 | self.slit_width = width |
---|
[f3d51f6] | 1075 | |
---|
[4a5de6f] | 1076 | try: |
---|
[75df58b] | 1077 | #pr = self._create_file_pr(path) |
---|
| 1078 | pr = self._create_file_pr(data) |
---|
[2a92852] | 1079 | if not pr==None: |
---|
| 1080 | self.pr = pr |
---|
[4a5de6f] | 1081 | self.perform_inversion() |
---|
| 1082 | except: |
---|
| 1083 | wx.PostEvent(self.parent, StatusEvent(status=sys.exc_value)) |
---|
[f3d51f6] | 1084 | |
---|
[75df58b] | 1085 | def estimate_file_inversion(self, alpha, nfunc, d_max, data, |
---|
| 1086 | path=None, q_min=None, q_max=None, |
---|
[2a92852] | 1087 | bck=False, height=0, width=0): |
---|
[7116b6e0] | 1088 | """ |
---|
| 1089 | """ |
---|
[f3d51f6] | 1090 | self.alpha = alpha |
---|
| 1091 | self.nfunc = nfunc |
---|
| 1092 | self.max_length = d_max |
---|
[634f1cf] | 1093 | self.q_min = q_min |
---|
| 1094 | self.q_max = q_max |
---|
[a4bd2ac] | 1095 | self.has_bck = bck |
---|
[2a92852] | 1096 | self.slit_height = height |
---|
| 1097 | self.slit_width = width |
---|
[f3d51f6] | 1098 | |
---|
[4a5de6f] | 1099 | try: |
---|
[75df58b] | 1100 | pr = self._create_file_pr(data) |
---|
| 1101 | #pr = self._create_file_pr(path) |
---|
| 1102 | if not pr is None: |
---|
[2a92852] | 1103 | self.pr = pr |
---|
[4a5de6f] | 1104 | self.perform_estimate() |
---|
| 1105 | except: |
---|
| 1106 | wx.PostEvent(self.parent, StatusEvent(status=sys.exc_value)) |
---|
| 1107 | |
---|
[f3d51f6] | 1108 | |
---|
[75df58b] | 1109 | def _create_file_pr(self, data): |
---|
[f3d51f6] | 1110 | """ |
---|
[7116b6e0] | 1111 | Create and prepare invertor instance from |
---|
| 1112 | a file data set. |
---|
| 1113 | |
---|
| 1114 | :param path: path of the file to read in |
---|
| 1115 | |
---|
[f3d51f6] | 1116 | """ |
---|
| 1117 | # Load data |
---|
[75df58b] | 1118 | #if os.path.isfile(path): |
---|
| 1119 | """ |
---|
| 1120 | if self._current_file_data is not None \ |
---|
| 1121 | and self._current_file_data.path==path: |
---|
| 1122 | # Protect against corrupted data from |
---|
| 1123 | # previous failed load attempt |
---|
| 1124 | if self._current_file_data.x is None: |
---|
| 1125 | return None |
---|
| 1126 | x = self._current_file_data.x |
---|
| 1127 | y = self._current_file_data.y |
---|
| 1128 | err = self._current_file_data.err |
---|
[357b79b] | 1129 | |
---|
[75df58b] | 1130 | message = "The data from this file has already been loaded." |
---|
| 1131 | wx.PostEvent(self.parent, StatusEvent(status=message)) |
---|
| 1132 | else: |
---|
| 1133 | """ |
---|
| 1134 | # Reset the status bar so that we don't get mixed up |
---|
| 1135 | # with old messages. |
---|
| 1136 | #TODO: refactor this into a proper status handling |
---|
| 1137 | wx.PostEvent(self.parent, StatusEvent(status='')) |
---|
| 1138 | try: |
---|
| 1139 | class FileData: |
---|
| 1140 | x = None |
---|
| 1141 | y = None |
---|
| 1142 | err = None |
---|
| 1143 | path = None |
---|
| 1144 | def __init__(self, path): |
---|
| 1145 | self.path = path |
---|
[6f1f129] | 1146 | |
---|
[75df58b] | 1147 | self._current_file_data = FileData(data.path) |
---|
| 1148 | self._current_file_data.x = data.x |
---|
| 1149 | self._current_file_data.y = data.y |
---|
| 1150 | self._current_file_data.err = data.dy |
---|
| 1151 | x, y, err = data.x, data.y, data.dy |
---|
| 1152 | except: |
---|
| 1153 | load_error(sys.exc_value) |
---|
| 1154 | return None |
---|
| 1155 | |
---|
| 1156 | # If the file contains no data, just return |
---|
| 1157 | if x is None or len(x) == 0: |
---|
| 1158 | load_error("The loaded file contains no data") |
---|
| 1159 | return None |
---|
| 1160 | |
---|
| 1161 | # If we have not errors, add statistical errors |
---|
| 1162 | if err is not None and y is not None: |
---|
| 1163 | err = numpy.zeros(len(y)) |
---|
| 1164 | scale = None |
---|
| 1165 | min_err = 0.0 |
---|
| 1166 | for i in range(len(y)): |
---|
| 1167 | # Scale the error so that we can fit over several decades of Q |
---|
| 1168 | if scale == None: |
---|
| 1169 | scale = 0.05 * math.sqrt(y[i]) |
---|
| 1170 | min_err = 0.01 * y[i] |
---|
| 1171 | err[i] = scale * math.sqrt(math.fabs(y[i])) + min_err |
---|
| 1172 | message = "The loaded file had no error bars, " |
---|
| 1173 | message += "statistical errors are assumed." |
---|
| 1174 | wx.PostEvent(self.parent, StatusEvent(status=message)) |
---|
| 1175 | |
---|
| 1176 | try: |
---|
| 1177 | # Get the data from the chosen data set and perform inversion |
---|
| 1178 | pr = Invertor() |
---|
| 1179 | pr.d_max = self.max_length |
---|
| 1180 | pr.alpha = self.alpha |
---|
| 1181 | pr.q_min = self.q_min |
---|
| 1182 | pr.q_max = self.q_max |
---|
| 1183 | pr.x = x |
---|
| 1184 | pr.y = y |
---|
| 1185 | pr.err = err |
---|
| 1186 | pr.has_bck = self.has_bck |
---|
| 1187 | pr.slit_height = self.slit_height |
---|
| 1188 | pr.slit_width = self.slit_width |
---|
| 1189 | return pr |
---|
| 1190 | except: |
---|
| 1191 | load_error(sys.exc_value) |
---|
[2a92852] | 1192 | return None |
---|
[f3d51f6] | 1193 | |
---|
| 1194 | def perform_estimate(self): |
---|
[7116b6e0] | 1195 | """ |
---|
| 1196 | """ |
---|
[f3d51f6] | 1197 | from pr_thread import EstimatePr |
---|
| 1198 | from copy import deepcopy |
---|
| 1199 | |
---|
| 1200 | # If a thread is already started, stop it |
---|
[75df58b] | 1201 | if self.estimation_thread != None and \ |
---|
| 1202 | self.estimation_thread.isrunning(): |
---|
[f3d51f6] | 1203 | self.estimation_thread.stop() |
---|
| 1204 | |
---|
| 1205 | pr = self.pr.clone() |
---|
[75df58b] | 1206 | self.estimation_thread = EstimatePr(pr, self.nfunc, |
---|
| 1207 | error_func=self._thread_error, |
---|
| 1208 | completefn = self._estimate_completed, |
---|
[f3d51f6] | 1209 | updatefn = None) |
---|
| 1210 | self.estimation_thread.queue() |
---|
| 1211 | self.estimation_thread.ready(2.5) |
---|
[35adaf6] | 1212 | |
---|
| 1213 | def perform_estimateNT(self): |
---|
[7116b6e0] | 1214 | """ |
---|
| 1215 | """ |
---|
[35adaf6] | 1216 | from pr_thread import EstimateNT |
---|
| 1217 | from copy import deepcopy |
---|
| 1218 | |
---|
| 1219 | # If a thread is already started, stop it |
---|
| 1220 | if self.estimation_thread != None and self.estimation_thread.isrunning(): |
---|
| 1221 | self.estimation_thread.stop() |
---|
| 1222 | |
---|
| 1223 | pr = self.pr.clone() |
---|
[2a92852] | 1224 | # Skip the slit settings for the estimation |
---|
| 1225 | # It slows down the application and it doesn't change the estimates |
---|
| 1226 | pr.slit_height = 0.0 |
---|
| 1227 | pr.slit_width = 0.0 |
---|
[75df58b] | 1228 | self.estimation_thread = EstimateNT(pr, self.nfunc, |
---|
| 1229 | error_func=self._thread_error, |
---|
| 1230 | completefn = self._estimateNT_completed, |
---|
[35adaf6] | 1231 | updatefn = None) |
---|
| 1232 | self.estimation_thread.queue() |
---|
| 1233 | self.estimation_thread.ready(2.5) |
---|
[f3d51f6] | 1234 | |
---|
| 1235 | def perform_inversion(self): |
---|
[7116b6e0] | 1236 | """ |
---|
| 1237 | """ |
---|
[f3d51f6] | 1238 | # Time estimate |
---|
| 1239 | #estimated = self.elapsed*self.nfunc**2 |
---|
[2a92852] | 1240 | #message = "Computation time may take up to %g seconds" % self.elapsed |
---|
| 1241 | #wx.PostEvent(self.parent, StatusEvent(status=message)) |
---|
[f3d51f6] | 1242 | |
---|
| 1243 | # Start inversion thread |
---|
| 1244 | self.start_thread() |
---|
| 1245 | return |
---|
| 1246 | |
---|
| 1247 | out, cov = self.pr.lstsq(self.nfunc) |
---|
| 1248 | |
---|
| 1249 | # Save useful info |
---|
| 1250 | self.elapsed = self.pr.elapsed |
---|
| 1251 | |
---|
| 1252 | for i in range(len(out)): |
---|
| 1253 | try: |
---|
[75df58b] | 1254 | print "%d: %g +- %g" % (i, out[i], |
---|
| 1255 | math.sqrt(math.fabs(cov[i][i]))) |
---|
[f3d51f6] | 1256 | except: |
---|
| 1257 | print "%d: %g +- ?" % (i, out[i]) |
---|
| 1258 | |
---|
| 1259 | # Make a plot of I(q) data |
---|
| 1260 | new_plot = Data1D(self.pr.x, self.pr.y, dy=self.pr.err) |
---|
| 1261 | new_plot.name = "I_{obs}(q)" |
---|
| 1262 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
---|
| 1263 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
---|
| 1264 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Iq")) |
---|
| 1265 | # Show I(q) fit |
---|
| 1266 | self.show_iq(out, self.pr) |
---|
| 1267 | # Show P(r) fit |
---|
| 1268 | x_values, x_range = self.show_pr(out, self.pr, cov=cov) |
---|
| 1269 | |
---|
| 1270 | def _on_context_inversion(self, event): |
---|
[75df58b] | 1271 | """ |
---|
| 1272 | """ |
---|
[f3d51f6] | 1273 | panel = event.GetEventObject() |
---|
| 1274 | |
---|
| 1275 | # If we have more than one displayed plot, make the user choose |
---|
[75df58b] | 1276 | if len(panel.plots) > 1 and \ |
---|
| 1277 | panel.graph.selected_plottable in panel.plots: |
---|
[aa4b8379] | 1278 | dataset = panel.graph.selected_plottable |
---|
[75df58b] | 1279 | elif len(panel.plots) == 1: |
---|
[f3d51f6] | 1280 | dataset = panel.plots.keys()[0] |
---|
| 1281 | else: |
---|
[75df58b] | 1282 | logging.info("Prview Error: No data is available") |
---|
[f3d51f6] | 1283 | return |
---|
| 1284 | |
---|
| 1285 | # Store a reference to the current plottable |
---|
[3fd1ebc] | 1286 | # If we have a suggested value, use it. |
---|
| 1287 | try: |
---|
| 1288 | estimate = float(self.control_panel.alpha_estimate) |
---|
| 1289 | self.control_panel.alpha = estimate |
---|
| 1290 | except: |
---|
| 1291 | self.control_panel.alpha = self.alpha |
---|
[75df58b] | 1292 | logging.info("Prview :Alpha Not estimate yet") |
---|
[3fd1ebc] | 1293 | pass |
---|
[d6113849] | 1294 | try: |
---|
| 1295 | estimate = int(self.control_panel.nterms_estimate) |
---|
| 1296 | self.control_panel.nfunc = estimate |
---|
| 1297 | except: |
---|
| 1298 | self.control_panel.nfunc = self.nfunc |
---|
[75df58b] | 1299 | logging.info("Prview : ntemrs Not estimate yet") |
---|
[d6113849] | 1300 | pass |
---|
[3fd1ebc] | 1301 | |
---|
[f3d51f6] | 1302 | self.current_plottable = panel.plots[dataset] |
---|
| 1303 | self.control_panel.plotname = dataset |
---|
[d6113849] | 1304 | #self.control_panel.nfunc = self.nfunc |
---|
[f3d51f6] | 1305 | self.control_panel.d_max = self.max_length |
---|
| 1306 | self.parent.set_perspective(self.perspective) |
---|
[aa4b8379] | 1307 | self.control_panel._on_invert(None) |
---|
[f3d51f6] | 1308 | |
---|
| 1309 | def get_panels(self, parent): |
---|
| 1310 | """ |
---|
| 1311 | Create and return a list of panel objects |
---|
| 1312 | """ |
---|
| 1313 | from inversion_panel import InversionControl |
---|
| 1314 | |
---|
| 1315 | self.parent = parent |
---|
[aa4b8379] | 1316 | self.control_panel = InversionControl(self.parent, -1, |
---|
| 1317 | style=wx.RAISED_BORDER, |
---|
| 1318 | standalone=self.standalone) |
---|
[f3d51f6] | 1319 | self.control_panel.set_manager(self) |
---|
| 1320 | self.control_panel.nfunc = self.nfunc |
---|
| 1321 | self.control_panel.d_max = self.max_length |
---|
| 1322 | self.control_panel.alpha = self.alpha |
---|
| 1323 | self.perspective = [] |
---|
| 1324 | self.perspective.append(self.control_panel.window_name) |
---|
[75df58b] | 1325 | |
---|
[f3d51f6] | 1326 | return [self.control_panel] |
---|
| 1327 | |
---|
[e88ebfd] | 1328 | def set_data(self, data_list=None): |
---|
[aa4b8379] | 1329 | """ |
---|
[75df58b] | 1330 | receive a list of data to compute pr |
---|
[aa4b8379] | 1331 | """ |
---|
[a3149c5] | 1332 | if data_list is None: |
---|
| 1333 | data_list = [] |
---|
[e88ebfd] | 1334 | if len(data_list) >= 1: |
---|
| 1335 | if len(data_list) == 1: |
---|
| 1336 | data = data_list[0] |
---|
[75df58b] | 1337 | else: |
---|
[e88ebfd] | 1338 | msg = "Pr panel does not allow multiple Data.\n" |
---|
| 1339 | msg += "Please select one!\n" |
---|
| 1340 | from pr_widgets import DataDialog |
---|
| 1341 | dlg = DataDialog(data_list=data_list, text=msg) |
---|
| 1342 | if dlg.ShowModal() == wx.ID_OK: |
---|
| 1343 | data = dlg.get_data() |
---|
| 1344 | if data is None: |
---|
| 1345 | return |
---|
| 1346 | if issubclass(data.__class__, Data1D): |
---|
| 1347 | try: |
---|
[db4ed82] | 1348 | self.data_id = data.id |
---|
[e88ebfd] | 1349 | self.control_panel._change_file(evt=None, data=data) |
---|
| 1350 | except: |
---|
| 1351 | msg = "Prview Set_data: " + str(sys.exc_value) |
---|
| 1352 | wx.PostEvent(self.parent, StatusEvent(status=msg, |
---|
| 1353 | info="error")) |
---|
| 1354 | else: |
---|
| 1355 | msg = "Pr cannot be computed for data of " |
---|
| 1356 | msg += "type %s" % (data_list[0].__class__.__name__) |
---|
[75a7ece] | 1357 | wx.PostEvent(self.parent, |
---|
[e88ebfd] | 1358 | StatusEvent(status=msg, info='error')) |
---|
[75a7ece] | 1359 | else: |
---|
| 1360 | msg = "Pr contain no data" |
---|
| 1361 | wx.PostEvent(self.parent, StatusEvent(status=msg, info='warning')) |
---|
[75df58b] | 1362 | |
---|
[f3d51f6] | 1363 | def post_init(self): |
---|
| 1364 | """ |
---|
| 1365 | Post initialization call back to close the loose ends |
---|
| 1366 | [Somehow openGL needs this call] |
---|
| 1367 | """ |
---|
[3e41f43] | 1368 | if self.standalone: |
---|
[d2ee6f6] | 1369 | self.parent.set_perspective(self.perspective) |
---|
[35adaf6] | 1370 | |
---|
| 1371 | if __name__ == "__main__": |
---|
| 1372 | i = Plugin() |
---|
| 1373 | print i.perform_estimateNT() |
---|
| 1374 | |
---|
| 1375 | |
---|
| 1376 | |
---|
[660b1e6] | 1377 | |
---|