Changes in / [c1694f8:7d32aaf] in sasview
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build_tools/conda/pyopencl/meta.yaml (modified) (1 diff)
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src/sas/guiframe/media/data_explorer_help.rst (modified) (8 diffs)
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src/sas/guiframe/media/data_formats_help.rst (modified) (2 diffs)
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src/sas/guiframe/media/graph_help.rst (modified) (15 diffs)
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src/sas/guiframe/report_dialog.py (added)
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src/sas/models/media/model_functions.rst (modified) (5 diffs)
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src/sas/perspectives/calculator/image_viewer.py (modified) (4 diffs)
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src/sas/perspectives/calculator/media/data_operator_help.rst (modified) (2 diffs)
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src/sas/perspectives/calculator/media/density_calculator_help.rst (modified) (2 diffs)
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src/sas/perspectives/fitting/batchfitpage.py (modified) (2 diffs)
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src/sas/perspectives/fitting/fitpanel.py (modified) (3 diffs)
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src/sas/perspectives/fitting/report_dialog.py (modified) (7 diffs)
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src/sas/perspectives/invariant/report_dialog.py (modified) (5 diffs)
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build_tools/conda/pyopencl/meta.yaml
r20b238df r0037131 38 38 run: 39 39 - python 40 - setuptools 40 41 - numpy 41 42 - pytools >=2014.2 -
src/sas/guiframe/media/data_explorer_help.rst
rc147870 r2bf5e3b 39 39 Hide by clicking *Show/Hide Data Explorer*. 40 40 41 NOTE! When *Data Explorer*is hidden, all data loaded will be sent directly42 to the current active application, if possible. When *Data Explorer*is43 shown, data go first to the *Data Explorer*.41 *NOTE! When* Data Explorer *is hidden, all data loaded will be sent directly 42 to the current active application, if possible. When* Data Explorer *is 43 shown, data go first to the* Data Explorer. 44 44 45 45 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ … … 52 52 To load data, click the button *Load Data*, then select one or more (by holding 53 53 the Ctrl key) files to load into the application. The name of each selected 54 file will be listed. Clicking the *+* symbol will display any available 55 metadata. 54 file will be listed. 55 56 Clicking the *+* symbol will display any available metadata. 56 57 57 58 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ … … 63 64 64 65 Right-clicking on a loaded dataset (or model calculation, what SasView calls a 65 theory) brings up a *Handy Menu* from which it is possible to access Data Info,66 theory) brings up a *Handy Menu* from which it is possible to access Datainfo, 66 67 Save the data/theory, or Plot the data/theory. 67 68 … … 90 91 ----------- 91 92 92 WARNING! *Remove Data* will stop any data operations currently using the 93 selected data sets. 94 93 *WARNING!* Remove Data *will stop any data operations currently using the 94 selected data sets.* 95 95 96 96 *Remove Data* removes all reference to selected data from the application. … … 103 103 -------------------- 104 104 105 This operation can only be performed on 1D data and plot panels currently 106 containing 1D data. 107 105 108 Click on the button *Append To* to add selected data to a plot panel. Next to 106 109 the button is a combo box containing the names of available plot panels. … … 110 113 disabled. 111 114 112 2D Data cannot be appended to any plot panels. This operation can 113 only be performed on 1D data and plot panels currently containing 1D data. 115 2D Data cannot be appended to any plot panels. 114 116 115 117 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ … … 132 134 The *Freeze Theory* button generates data from the selected theory. 133 135 134 NOTE! This operation can only be performed when theory labels are selected. 136 *NOTE! This operation can only be performed when theory labels are selected.* 135 137 136 138 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ … … 150 152 fitted at the same time, use *Simultaneous* fitting under the *Fitting* 151 153 option on the menu bar. 154 155 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 156 157 .. note:: This help document was last changed by Steve King, 18Feb2015 -
src/sas/guiframe/media/data_formats_help.rst
r6f10243 r3fd3d5a4 29 29 SasView recognises the following file extensions: 30 30 31 .TXT 32 33 .ASC 34 35 .DAT 36 37 .XML (in canSAS format v1.0 and 1.1) 31 * .TXT 32 * .ASC 33 * .DAT 34 * .XML (in canSAS format v1.0 and 1.1) 38 35 39 36 If using CSV output from, for example, a spreadsheet, ensure that it is not 40 37 using commas as delimiters for thousands. 41 38 39 For a description of the CanSAS/SASXML format see: 40 http://www.cansas.org/formats/canSAS1d/1.1/doc/ 41 42 42 For a description of the NIST 1D format see: 43 44 43 http://danse.chem.utk.edu/trac/wiki/NCNROutput1D_IQ 45 44 46 45 For a description of the ISIS 1D format see: 47 48 46 http://www.isis.stfc.ac.uk/instruments/loq/software/colette-ascii-file-format-descriptions9808.pdf 49 47 50 NB:SasView does not at present load data where the Q and I(Q) data are in51 separate files. 48 *NOTE! SasView does not at present load data where the Q and I(Q) data are in 49 separate files.* 52 50 53 51 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ … … 65 63 66 64 For a description of the NIST 2D format see: 67 68 65 http://danse.chem.utk.edu/trac/wiki/NCNROutput1D_2DQxQy 69 66 70 67 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 68 69 .. note:: This help document was last changed by Steve King, 18Feb2015 -
src/sas/guiframe/media/graph_help.rst
r98b30b4 r1394952 4 4 .. by S King, ISIS, during SasView CodeCamp-III in Feb 2015. 5 5 6 .. |delta| unicode:: U+03B4 7 .. |phi| unicode:: U+03C6 8 9 6 10 Plotting Data/Models 7 11 ==================== 8 12 9 Graph_Menu_ 13 Graph_Window_Options_ 14 15 Dataset_Menu_Options_ 10 16 11 17 2D_Data_Averaging_ 12 18 13 Key_Sequences_14 15 19 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 16 20 17 .. _Graph_Menu: 18 19 Graph Menu 21 .. _Graph_Window_Options: 22 23 Graph Window Options 24 -------------------- 25 26 Invoking_the_Graph_Menu_ 27 28 Hide_Show_Delete_Graph_ 29 30 Drag_Plot_ 31 32 Zoom_In_Out_ 33 34 Save_Plot_Image_ 35 36 Print_Plot_ 37 38 Reset_Graph_ 39 40 Graph_Modifications_ 41 42 Change_Scale_ 43 44 Toggle_Scale_ 45 46 2D_Color_Map_ 47 48 Data_Coordinates_ 49 50 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 51 52 .. _Dataset_Menu_Options: 53 54 Dataset Menu Options 55 -------------------- 56 57 Invoking_the_Dataset_Menu_ 58 59 Data_Info_ 60 61 Save_Data_ 62 63 Linear_Fit_ 64 65 Remove_Data_from_Plot_ 66 67 Show_Hide_Error_Bars_ 68 69 Modify_Plot_Property_ 70 71 2D Averaging 72 ------------ 73 74 2D_Data_Averaging_ 75 76 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 77 78 .. _Invoking_the_Graph_Menu: 79 80 Invoking the Graph Menu 81 ----------------------- 82 83 To invoke the *Graph Menu* simply right-click on a data/theory plot, or click 84 the *Graph Menu* (bullet list) icon in the toolbar at the bottom of the plot. 85 Then select a menu item. 86 87 .. _Hide_Show_Delete_Graph: 88 89 Hide/Show/Delete Graph 90 ---------------------- 91 92 To expand a plot window, click the *Maximise* (square) icon in the top-right 93 corner. 94 95 To shrink a plot window, click the *Restore down* (square-on-square) icon in 96 the top-right corner. 97 98 To hide a plot, click the *Minimise* (-) icon in the top-right corner of the 99 plot window. 100 101 To show a hidden plot, select the *Restore up* (square-on-square) icon on the 102 minimised window. 103 104 To delete a plot, click the *Close* (x) icon in the top-right corner of the 105 plot window. 106 107 *NOTE! If a residuals graph (when fitting data) is hidden, it will not show up 108 after computation.* 109 110 .. _Drag_Plot: 111 112 Drag Plot 113 --------- 114 115 Select the *Pan* (crossed arrows) icon in the toolbar at the bottom of the plot 116 to activate this option. Move the mouse pointer to the plot. It will change to 117 a hand. Then left-click and drag the plot around. The axis values will adjust 118 accordingly. 119 120 To disable dragging mode, unselect the *crossed arrows* icon on the toolbar. 121 122 .. _Zoom_In_Out: 123 124 Zoom In/Out 125 ----------- 126 127 Select the *Zoom* (magnifying glass) button in the toolbar at the bottom of 128 the plot to activate this option. Move the mouse pointer to the plot. It will 129 change to a cross-hair. Then left-click and drag the pointer around to generate 130 a region of interest. Release the mouse button to generate the new view. 131 132 To disable zoom mode, unselect the *Zoom* button on the toolbar. 133 134 After zooming in on a a region, the *left arrow* or *right arrow* buttons on 135 the toolbar will switch between recent views. 136 137 *NOTE! If a wheel mouse is available scrolling the wheel will zoom in/out 138 on the current plot (changing both axes). Alternatively, point at the numbers 139 on one axis and scroll the wheel to zoom in/out on just that axis.* 140 141 To return to the original view of the data, click the the *Reset* (home) icon 142 in the toolbar at the bottom of the plot (see Reset_Graph_ for further details). 143 144 .. _Save_Plot_Image: 145 146 Save Plot Image 147 --------------- 148 149 To save the current plot as an image file, right click on the plot to bring up 150 the *Graph Menu* (see Invoking_the_Graph_Menu_) and select *Save Image*. 151 Alternatively, click on the *Save* (floppy disk) icon in the toolbar at the 152 bottom of the plot. 153 154 A dialog window will open. Select a folder, enter a filename, choose an output 155 image type, and click *Save*. 156 157 The currently supported image types are: 158 159 * EPS (encapsulated postscript) 160 * EMF (enhanced metafile) 161 * JPG/JPEG (joint photographics experts group) 162 * PDF (portable documant format) 163 * PNG (portable network graphics) 164 * PS (postscript) 165 * RAW/RGBA (bitmap) 166 * SVG/SVGA (scalable vector graphics) 167 * TIF/TIFF (tagged iamge file) 168 169 .. _Print_Plot: 170 171 Print Plot 20 172 ---------- 21 173 22 Invoking_the_Graph_Menu_ 23 24 Reset_Graph_ 25 26 Hide_Show_Delete_Graph_ 27 28 Data_Info_ 29 30 Save_Plot_Image_ 31 32 Save_Data_ 33 34 Drag_Plot_ 35 36 Zoom_In_Out_ 37 38 Remove_Data_from_Plot_ 39 40 Change_Scale_ 41 42 Linear_Fit_ 43 44 Other_Graph_Modifications_ 45 46 .. _Invoking_the_Graph_Menu: 47 48 Introduction 49 ------------ 50 51 Locating the pointer and right-clicking on a data/theory plot will bring a 52 context menu. On the menu, select a menu item. 174 To send the current plot to a printer, click on the *Print* (printer) icon in 175 the toolbar at the bottom of the plot. 53 176 54 177 .. _Reset_Graph: … … 57 180 ----------- 58 181 59 To reset the graph's axis range, right click on the plot and the context menu 60 pops-up. Select *Reset Graph* and the plot will take its initial range. Also 61 the 'home' icon in tool bar will do the same. 62 63 .. _Hide_Show_Delete_Graph: 64 65 Hide/Show/Delete Graph 66 ---------------------- 67 68 To Hide, click the Hide (bar) button in the tool bar.To Show, select the the 69 'Show' menu item in the 'Graph' menu in the menu bar.To Delete, click the 'x' 70 button in the title bar. 71 72 Note: If a residuals graph (in Fitting) is hidden, it will not show up after 73 computation. 182 To reset the axis range of a graph to its initial values select *Reset Graph 183 Range* on the *Graph Menu* (see Invoking_the_Graph_Menu_). Alternatively, use 184 the *Reset* (home) icon in the toolbar at the bottom of the plot. 185 186 .. _Graph_Modifications: 187 188 Graph Modifications 189 ------------------- 190 191 From the *Graph Menu* (see Invoking_the_Graph_Menu_) it is also possible to 192 make some custom modifications to plots, including: 193 194 * changing the plot window title 195 * changing the axis legend locations 196 * changing the axis legend label text 197 * changing the axis legend label units 198 * changing the axis legend label font & font colour 199 * adding/removing a text string 200 * adding a grid overlay 201 202 .. _Change_Scale: 203 204 Change Scale 205 ------------ 206 207 This menu option is only available with 1D data. 208 209 From the *Graph Menu* (see Invoking_the_Graph_Menu_) select *Change Scale*. A 210 dialog window will appear in which it is possible to choose different 211 transformations of the x (usually Q) or y (usually I(Q)) axes, including: 212 213 * x, x^2, x^4, ln(x), log10(x), log10(x^4) 214 * y, 1/y, ln(y), y^2, y.(x^4), 1/sqrt(y), 215 * log10(y), ln(y.x), ln(y.x^2), ln(y.x^4), log10(y.x^4) 216 217 A *View* option includes short-cuts to common SAS transformations, such as: 218 219 * linear 220 * Guinier 221 * X-sectional Guinier 222 * Porod 223 * Kratky 224 225 For properly corrected and scaled data, these SAS transformations can be used 226 to estimate, for example, Rg, rod diameter, or SANS incoherent background 227 levels, via a linear fit (see Linear_Fit_). 228 229 .. _Toggle_Scale: 230 231 Toggle Scale 232 ------------ 233 234 This menu option is only available with 2D data. 235 236 From the *Graph Menu* (see Invoking_the_Graph_Menu_) select *Toggle Linear/Log 237 Scale* to switch between a linear to log intensity scale. The type of scale 238 selected is written alongside the colour scale. 239 240 .. _2D_Color_Map: 241 242 2D Color Map 243 ------------ 244 245 This menu option is only available with 2D data. 246 247 From the *Graph Menu* (see Invoking_the_Graph_Menu_) select *2D Color Map* to 248 choose a different color scale for the image and/or change the maximum or 249 minimum limits of the scale. 250 251 .. _Data_Coordinates: 252 253 Data Coordinates 254 ---------------- 255 256 Clicking anywhere in the plot window will cause the current coordinates to be 257 displayed in the status bar at the very bottom-left of the SasView window. 258 259 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 260 261 .. _Invoking_the_Dataset_Menu: 262 263 Invoking_the_Dataset_Menu 264 ------------------------- 265 266 From the *Graph Menu* (see Invoking_the_Graph_Menu_) highlight a plotted 267 dataset. 74 268 75 269 .. _Data_Info: … … 78 272 --------- 79 273 80 From the context menu, select 'Data Info' to see the data information dialog 81 panel. 82 83 .. _Save_Plot_Image: 84 85 Save Plot Image 86 --------------- 87 88 Right click on plot. Context menu will pop-up select save image [file name]. 89 A dialog window opens and write a the name of the file to save and click on 90 *Save Image.* 274 In the *Dataset Menu* (see Invoking_the_Dataset_Menu_), highlight a data set 275 and select *DataInfo* to bring up a data information dialog panel for that 276 data set. 91 277 92 278 .. _Save_Data: … … 95 281 --------- 96 282 97 From the context menu, select 'Save points as a file' for 1D, or 'Save as a 98 file(DAT)' for 2D. Note that two formats, txt and xml, are available in 1D 99 saving. 100 101 .. _Drag_Plot: 102 103 Drag Plot 104 --------- 105 106 Select the *crossed arrows* button on the plot panel *toolbar* to drag the 107 plot. To disable dragging mode, unselect the same button on the toolbar. 108 109 .. _Zoom_In_Out: 110 111 Zoom In/Out 112 ----------- 113 114 Select the *rectangle* button on the plot panel *toolbar* to zoom in a 115 region of the plot. 116 117 To disable zoom mode, unselect the same button on the toolbar. After zoom in 118 a region, select *left arrow* or *right arrow* button on the toolbar to set 119 the graph the the previous size. If a mouse wheel button is available, 120 *zoom in/out* by scrolling the mouse wheel (see Key_Sequences_ help for 121 details). 283 In the *Dataset Menu* (see Invoking_the_Dataset_Menu_), select *Save Points as 284 a File* (if 1D data) or *Save as a file(DAT)* (if 2D data). A save dialog will 285 appear. 286 287 1D data can be saved in either ASCII text (.TXT) or CanSAS/SASXML (.XML) 288 formats (see :ref:`1D_Formats`). 289 290 2D data can only be saved in the NIST 2D format (.DAT) (see :ref:`2D_Formats`). 291 292 .. _Linear_Fit: 293 294 Linear Fit 295 ---------- 296 297 Linear fit performs a simple ( y(x)=ax+b ) linear fit within the plot window. 298 299 In the *Dataset Menu* (see Invoking_the_Dataset_Menu_), select *Linear Fit*. A 300 fitting dialog will appear. Set some initial parameters and data limits and 301 click *Fit*. The fitted parameter values are displayed and the resulting line 302 calculated from them is added to the plot. 303 304 This option is most useful for performing simple Guinier, XS Guinier, and 305 Porod type analyses, for example, to estimate Rg, a rod diameter, or incoherent 306 background level, respectively. 307 308 The following figure shows an example of a Guinier analysis using this option 309 310 .. image:: guinier_fit.png 122 311 123 312 .. _Remove_Data_from_Plot: … … 126 315 --------------------- 127 316 128 Highlight the plot and the context menu appears.Select *remove [file name]*. 129 The plot selected will disappear. 130 131 .. _Change_Scale: 132 133 Change Scale 134 ------------ 135 136 If the loaded data is a 1-D data changing scale or data representation will 137 work as follows. *Right click* on the plot window. A context menu pops-up and 138 select *Change Scale* . A dialog window titled *select the scale of the graph* 139 will pop-up then change the *x* , the *y* and the *view* values as wish. 140 141 The 'view' option includes the axis scale short-cuts such as Linear, Guinier, 142 Cross-sectional (XC) Guinier, and Porod plot scale. For a proper data set, 143 these axis scales can be used to estimate Rg, Rod diameter, or Background of 144 neutron scattering data respectively (via 'Linear Fit'; see below). For a 2D 145 image, *Right click* on the image to pop-up the context menu. Select to 146 switch from linear to log scale. The scale selected is printed on the status 147 bar. 148 149 If the loaded data is an image. *Right click* on the image to pop-up the 150 context menu. Select to switch from linear to log scale. The scale selected is 151 printed on the status bar. 152 153 .. _Linear_Fit: 154 155 Linear Fit 156 ---------- 157 158 Linear fit is to perform a line model fitting keeping the scale of the plot. 159 Highlight data to fit. From the context menu select *Linear Fit* . A dialog 160 window appears. Change model initial parameters, data limits and hit *fit* 161 button. New parameters values are displayed and the line with the new 162 parameters is added to the plot. Especially for Guinier, XC Guinier, and 163 Porod plot scale, this 'Linear Fit' will provides Rg, Rod diameter, and 164 background, respectively. The following figure shows an example for the 165 Guinier scale. 166 167 .. image:: guinier_fit.png 168 169 .. _Other_Graph_Modifications: 170 171 Other Graph Modifications 172 ------------------------- 173 174 Some custom modifications of the symbols, text, axis, etc of the graph are 175 provided. 317 In the *Dataset Menu* (see Invoking_the_Dataset_Menu_), select *Remove*. The 318 selected data will be removed from the plot. 319 320 *NOTE! This action cannot be undone.* 321 322 .. _Show_Hide_Error_Bars: 323 324 Show/Hide Error Bars 325 -------------------- 326 327 In the *Dataset Menu* (see Invoking_the_Dataset_Menu_), select *Show Error Bar* 328 or *Hide Error Bar* to switch between showing/hiding the errors associated 329 with the chosen dataset. 330 331 .. _Modify_Plot_Property: 332 333 Modify Plot Property 334 -------------------- 335 336 In the *Dataset Menu* (see Invoking_the_Dataset_Menu_), select *Modify Plot 337 Property* to change the size, color, or shape of the displayed marker for the 338 chosen dataset, or to change the dataset label that appears on the plot. 176 339 177 340 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ … … 182 345 ----------------- 183 346 184 P rinciple_347 Purpose_ 185 348 186 349 How_to_Average_ … … 204 367 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 205 368 206 .. Principle: 207 208 Principle 209 --------- 210 211 This feature allows you to perform different types of averages on your data, 212 and allows you to see what regions of the detector will contribute to the 213 average. The region to be averaged will be drown and can be modified by 214 dragging the lines around. 369 .. Purpose: 370 371 Purpose 372 ------- 373 374 This feature is only available with 2D data. 375 376 2D data averaging allows you to perform different types of averages on your 377 data. The region to be averaged is displayed in the plot window and its limits 378 can be modified by dragging the boundaries around. 215 379 216 380 .. _How_to_Average: … … 219 383 -------------- 220 384 221 Right click on 2D data for the context menu to appear. Select one type of 222 averages among *"sector [Q view]", "Annulus [Phi view]", "Box sum", "Box 223 averaging in Qx ", "box averaging on Qy","Perform circular Average".* 224 225 A slicer will appear except for *"Perform circular Average"* that you can 226 drag by clicking on a slicer 's marker. When the marker is highlighted in red, 227 it means that the slicer can change size.You can also move some of the slicer 228 by simply drag its side when highlighted in red. the slicer size will be reset 229 to its previous size if the user try to select a region greater than the size 230 of the data. 231 232 The user can also select a region to average when a slicer has been selected 233 already by *right clicking* on the context menu and selecting *Edit Slicer 234 Parameters* . The dialog window will appears and the user can enter values to 235 selected a region or selected numbers of points to plot *nbins* . 236 237 For *Box sum* , when the user selects this option, a new panel is created 238 containing the result of average of the sum of every pixels contains on that 239 data.The user can also enter values to select a region. 385 In the *Dataset Menu* (see Invoking_the_Dataset_Menu_), select one of the 386 following averages 387 388 * Perform Circular Average 389 * Sector [Q view] 390 * Annulus [Phi view] 391 * Box sum 392 * Box averaging in Qx 393 * Box averaging on Qy 394 395 A 'slicer' will appear (except for *Perform Circular Average*) in the plot that 396 you can drag by clicking on a slicer's handle. When the handle is highlighted 397 in red, it means that the slicer can move/change size. 398 399 *NOTE! The slicer size will reset if you try to select a region greater than 400 the size of the data.* 401 402 Alternatively, once a 'slicer' is active you can also select the region to 403 average by bringing back the *Dataset Menu* and selecting *Edit Slicer 404 Parameters*. A dialog window will appear in which you can enter values to 405 define a region or select the number of points to plot (*nbins*). 406 407 A separate plot window will also have appeared, displaying the requested 408 average. 409 410 *NOTE! The displayed average only updates when input focus is moved back to 411 that window; ie, when the mouse pointer is moved onto that plot.* 412 413 Selecting *Box Sum* automatically brings up the 'Slicer Parameters' dialog in 414 order to display the average numerically, rather than graphically. 415 416 To remove a 'slicer', bring back the *Dataset menu* and select *Clear Slicer*. 240 417 241 418 .. _Available_Averagings: … … 244 421 -------------------- 245 422 246 Some different types of averaging are provided for. 423 The available averages are 247 424 248 425 .. _Unmasked_Circular_Average: … … 251 428 ------------------------- 252 429 253 This operation will perform an d average in constant q-rings around the (x,y) pixel254 location of the beam center.430 This operation will perform an average in constant Q-rings around the (x,y) 431 pixel location of the beam center. 255 432 256 433 .. _Masked_Circular_Average: … … 259 436 ----------------------- 260 437 261 This operation is same as 'Masked Circular Average' except that the masked262 region is excluded if masked.438 This operation is the same as 'Unmasked Circular Average' except that any 439 masked region is excluded. 263 440 264 441 .. _Sector_Average: … … 267 444 ----------------------- 268 445 269 This operation averages in constant q-arcs. The width of the sector is specified in 270 degrees (+/- delta phi) each side of the central angle (phi). 446 This operation averages in constant Q-arcs. 447 448 The width of the sector is specified in degrees (+/- |delta|\|phi|\) each side 449 of the central angle (|phi|\). 271 450 272 451 .. _Annular_Average: 273 452 274 Annular Average [ PhiView]275 -------------------------- 276 277 It performs an average between two q-values centered in (0,0), and averaged278 over a width of a specified number of pixels. The data is returned as a 279 function of angle (phi) in degrees. Moving one circle of this slicer to 280 radius of zero corresponding to a circular averaging on radius qmax , the281 outer circle. The angle zero starts from the positive x-axis direction.453 Annular Average [|phi| View] 454 ---------------------------- 455 456 This operation performs an average between two Q-values centered on (0,0), 457 and averaged over a specified number of pixels. 458 459 The data is returned as a function of angle (|phi|\) in degrees with zero 460 degrees at the 3 O'clock position. 282 461 283 462 .. _Box_Sum: … … 286 465 ------- 287 466 288 Perform the sum of counts in a 2D region of interest.When editing the slicer, 289 the user can enter the length and the width the rectangle slicer and the 290 coordinates of the center of this rectangle. 467 This operation performs a sum of counts in a 2D region of interest. 468 469 When editing the slicer parameters, the user can enter the length and the width 470 the rectangular slicer and the coordinates of the center of the rectangle. 291 471 292 472 .. _Box_Averaging_in_Qx: … … 295 475 ------------------- 296 476 297 Computes average I(Qx) for a region of interest. When editing the slicer, the 298 user can control the length and the width the rectangle slicer. The averaged 299 output is calculated from the constant bins with rectangular shape. The 300 resultant q values are nominal values, i.e., the central values of each bins 301 on the x-axis. 477 This operation computes an average I(Qx) for the region of interest. 478 479 When editing the slicer parameters, the user can control the length and the 480 width the rectangular slicer. The averaged output is calculated from constant 481 bins with rectangular shape. The resultant Q values are nominal values, that 482 is, the central value of each bin on the x-axis. 302 483 303 484 .. _Box_Averaging_in_Qy: … … 306 487 ------------------- 307 488 308 Computes average I(Qy) for a region of interest.When editing the slicer, the 309 user can control the length and the width the rectangle slicer. The averaged 310 output is calculated from the constant bins with rectangular shape. The 311 resultant q values are nominal values, i.e., the central values of each bins 312 on the y-axis. 313 314 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 315 316 .. _Key_Sequences: 317 318 Key Sequences 319 ------------- 320 321 Floating_Panel_ 322 323 Context_Menu_ 324 325 Zoom_ 326 327 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 328 329 .. _Floating_Panel: 330 331 Floating Panel 332 -------------- 333 334 For a graph panel to float on the top of the SV window: 335 336 Press the *Ctrl(Cmd on MAC) key* on dragging and placing a panel. Or if you 337 want to make all plot panels float, select 'Float' from Graph/Preperences in 338 the menu bar. Otherwise choose 'Dock'. 339 340 .. _Context_Menu: 341 342 Graph Context Menu 343 ------------------ 344 345 To get the graph context menu to print, copy, save data, (2D)average, etc, 346 *locate the mouse point on the plot to highlight and *(Mouse) Right Click* 347 to bring up the full menu. 348 349 .. _Zoom: 350 351 Zoom In/Out 352 ----------- 353 354 To Zoom in or out the full plot, *locate the mouse point inside the graph 355 which will be the center of the zooming, then *rotate MouseWheel*. 356 357 *To Zoom in or out the plot in x or y direction, *locate (and click) the 358 mouse point near x (or y) axis just outside of the graph and then *rotate 359 MouseWheel* .* Note that this works only on the 1D plots. 489 490 This operation computes an average I(Qy) for the region of interest. 491 492 When editing the slicer parameters, the user can control the length and the 493 width the rectangular slicer. The averaged output is calculated from constant 494 bins with rectangular shape. The resultant Q values are nominal values, that 495 is, the central value of each bin on the x-axis. 496 497 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 498 499 .. note:: This help document was last changed by Steve King, 18Feb2015 -
src/sas/models/media/model_functions.rst
rcd06a5f r7072ce6 10 10 11 11 .. To do: 12 .. Remove the 'This is xi' & 'This is zeta' lines before release!13 12 .. Add example parameters/plots for the CoreShellEllipsoidXTModel 14 13 .. Add example parameters/plots for the RectangularPrism models … … 20 19 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 21 20 21 22 .. note:: The contents of this document are awaiting proof reading. Feb2015 22 23 23 24 … … 169 170 - RaspBerryModel_ 170 171 - CoreShellModel_ (including magnetic 2D version) 172 - MicelleSphCoreModel_ 171 173 - CoreMultiShellModel_ (including magnetic 2D version) 172 174 - Core2ndMomentModel_ … … 2444 2446 2445 2447 where |delta|\ T = tail length (or *t_length*), |delta|\ H = head thickness (or *h_thickness*), 2446 |drho|\ H = SLD(headgroup) - SLD(solvent), and |drho|\ T = SLD(tail) - SLD(solvent). 2448 |drho|\ H = SLD(headgroup) - SLD(solvent), and |drho|\ T = SLD(tail) - SLD(solvent). The total thickness is 2(H+T). 2447 2449 2448 2450 The 2D scattering intensity is calculated in the same way as 1D, where the *q* vector is defined as … … 3372 3374 3373 3375 3376 .. _MicelleSphCoreModel: 3377 3378 **2.1.42. MicelleSphCoreModel** 3379 3380 This model provides the form factor, *P(q)*, for a micelle with a spherical core 3381 and Gaussian polymer chains attached to the surface. 3382 3383 *2.1.42.1. Definition* 3384 3385 The 1D scattering intensity for this model is calculated according to the equations given by Pedersen 3386 (Pedersen, 2000). 3387 3388 *2.1.42.2. Validation of the MicelleSphCoreModel* 3389 3390 This model has not yet been validated. Feb2015 3391 3392 REFERENCES 3393 3394 J Pedersen, *J. Appl. Cryst.*, 33 (2000) 637-640 3395 3396 3397 3374 3398 2.2 Shape-independent Functions 3375 3399 ------------------------------- -
src/sas/perspectives/calculator/image_viewer.py
r7a04dbb reec63a8 59 59 plot_frame = ImageFrame(parent, -1, basename, img) 60 60 plot_frame.Show(False) 61 #plot_frame.im_show(img)62 61 ax = plot_frame.plotpanel 63 62 if not is_png: … … 73 72 except: 74 73 print "parent", parent 75 raise76 74 err_msg += "Failed to load '%s'.\n"% basename 77 75 if err_msg: … … 80 78 else: 81 79 print err_msg 82 83 80 84 81 def choose_data_file(self, location=None): … … 86 83 Open a file dialog to allow loading a file 87 84 """ 88 parent = self.parent89 85 path = None 90 86 if location == None: 91 87 location = os.getcwd() 92 wlist = '' 93 elist = ["All images (*.png, *.bmp, *.gif, *.jpg, *.tif, *.tiff) | \ 94 *.png; *.bmp; *.gif; *.jpg; *.tif; *.tiff", 95 "PNG files (*.PNG, *.png) | *.png", 96 "BMP files (*.BMP, *.bmp) | *.bmp", 97 "GIF files (*.GIF, *.gif) | *.gif", 98 "JPG files (*.JPG, *.jpg) | *.jpg", 99 "TIF files (*.TIF, *.tif) | *.tif", 100 "TIFF files (*.TIFF, *.tiff) | *.tiff"] 101 if not IS_WIN: 102 del elist[0] 103 elist.append("All files (*.*) | *.*") 104 wlist = '|'.join(elist) 105 style = wx.OPEN|wx.FD_MULTIPLE 106 dlg = wx.FileDialog(parent, "Image Viewer: Choose a image file", 107 location, "", wlist, style=style) 88 dlg = wx.FileDialog(self.parent, "Image Viewer: Choose a image file", 89 location, "", "", style=wx.FD_OPEN|wx.FD_MULTIPLE) 108 90 if dlg.ShowModal() == wx.ID_OK: 109 91 path = dlg.GetPaths() -
src/sas/perspectives/calculator/media/data_operator_help.rst
r98b30b4 r684fade 9 9 Description 10 10 ----------- 11 This dialog panel provides arithmetic operations between two data sets (the12 last data set could be a number).13 11 14 When data1 and data2 are selected, their x (or qx and qy for 2D) value(s) 15 must match with each other. 12 This tool permits arithmetic operations between two data sets. Alternatively, 13 the last data set can be a number. 14 15 *NOTE! When* Data1 *and* Data2 *are both data, their Q (or Qx and Qy for 2D) 16 value(s) must match with each other UNLESS using the 'append' operator.* 16 17 17 18 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ … … 19 20 How To 20 21 ------ 21 1. Type the data name resulted from an operation.22 22 23 2) Select a data/theory in the drop down menus. When data2 is set to number, 24 type a number in the text control box. 23 1) Enure you have loaded data into the *Data Explorer* (see :ref:`Load_Data`). 25 24 26 3) Select an arithmetic operator symbol; + (for addition), - (for subtraction), 27 * (for multiplication), / (for division), and | (for combination of two data 28 sets). 25 2) Select *Data Operation* from the *Tool* menu on the SasView toolbar. 29 26 30 If two data sets do not match, the operation will fail and the background color 31 of the combo box items will turn to red (WIN only).27 3) Select a dataset/theory in the drop-down menu *Data1*. A mini-plot of the 28 data will appear underneath. 32 29 33 4) If the operation is successful, hit the Apply button to make the new data.34 Then the data name will be shown up in the data box in the data explorer.30 4) Select a dataset/theory in the drop-down menu *Data2* or select *Number* 31 and enter a number in the box that appears alongside. 35 32 36 Note: Any errors and warnings will be displayed at the bottom of the SasView 37 window. 33 5) Select an arithmetic operator symbol from the *Operator* drop-down. The 34 available operators are: 35 36 * + (for addition) 37 * - (for subtraction), 38 * * (for multiplication) 39 * / (for division) 40 * | (for combination of two data sets) 41 42 If two data sets do not match, the operation will fail and the background 43 color of the combo box items will turn to red (WIN only). 44 45 6) If the operation is successful, hit the Apply button to make the new dataset. 46 The new dataset will appear in the *Data Explorer*. 47 48 *NOTE! Any errors and warnings will be displayed at the bottom of the SasView 49 window.* 38 50 39 51 .. image:: data_oper_pic.png 52 53 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 54 55 .. note:: This help document was last changed by Steve King, 18Feb2015 -
src/sas/perspectives/calculator/media/density_calculator_help.rst
rec392464 r054a3ad 10 10 ----------- 11 11 12 This tool is to calculatethe mass density from the molar volume or vice12 This tool calculates the mass density from the molar volume or vice 13 13 versa. To calculate the mass density, the chemical formula and molar volume 14 14 should be provided. … … 19 19 ------ 20 20 21 1. Molecular Formula: The chemical formula of ONE molecule or ONE atom. For 22 mixtures, the ratio of the each molecules should be used; for example, 23 (H2O)0.5(D2O)0.5. 21 1) Enter the empirical formula of a molecule. For mixtures, the ratio of each 22 of the molecules should be used, for example, (H2O)0.5(D2O)0.5. 24 23 25 2 . Select input (molar volume or mass density) from combobox. Then type in the26 input value.24 2) Use the input combo box to choose between molar volume or mass density and 25 then type in an input value. 27 26 28 3. Click the 'Calculate' button to perform the calculation. 29 30 4. Outputs also include the molar mass (weight) that depends only on the 31 chemical formula 27 3) Click the 'Calculate' button to perform the calculation. 32 28 33 29 .. image:: density_tutor.gif 30 31 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 32 33 .. note:: This help document was last changed by Steve King, 18Feb2015 -
src/sas/perspectives/fitting/batchfitpage.py
r79492222 rfa09d62 17 17 from sas.models.qsmearing import smear_selection 18 18 from sas.perspectives.fitting.fitpage import FitPage 19 from sas.perspectives.fitting.fitpage import check_data_validity 19 20 20 21 class BatchFitPage(FitPage): … … 30 31 """ 31 32 FitPage.__init__(self, parent, color=color) 32 self.window_name = "BatchFit" 33 self.window_caption = "BatchFit" 34 self._set_save_flag(False) 35 self._set_bookmark_flag(False) 36 37 def _fill_range_sizer(self): 33 34 ## draw sizer 35 36 def _fill_data_sizer(self): 38 37 """ 39 Fill the sizer containing the plotting range 40 add access to npts 38 fill sizer 0 with data info 41 39 """ 42 is_2Ddata = False 43 44 # Check if data is 2D 45 if self.data.__class__.__name__ == "Data2D" or \ 46 self.enable2D: 47 is_2Ddata = True 48 49 title = "Fitting" 50 self._get_smear_info() 51 52 #Sizers 53 box_description_range = wx.StaticBox(self, -1, str(title)) 54 boxsizer_range = wx.StaticBoxSizer(box_description_range, wx.VERTICAL) 55 self.sizer_set_smearer = wx.BoxSizer(wx.VERTICAL) 56 #sizer_smearer = wx.BoxSizer(wx.HORIZONTAL) 57 self.sizer_new_smear = wx.BoxSizer(wx.HORIZONTAL) 58 self.sizer_set_masking = wx.BoxSizer(wx.HORIZONTAL) 59 sizer_chi2 = wx.BoxSizer(wx.VERTICAL) 60 61 sizer_fit = wx.GridSizer(2, 4, 2, 6) 62 #Fit button 63 self.btFit = wx.Button(self, wx.NewId(), 'Fit', size=(88, 25)) 64 self.default_bt_colour = self.btFit.GetDefaultAttributes() 65 self.btFit.Bind(wx.EVT_BUTTON, self._onFit, id= self.btFit.GetId()) 66 self.btFit.SetToolTipString("Start fitting.") 67 68 # Update and Draw button 69 self.draw_button = wx.Button(self, wx.NewId(), 'Compute', size=(88, 24)) 70 self.draw_button.Bind(wx.EVT_BUTTON, \ 71 self._onDraw,id=self.draw_button.GetId()) 72 self.draw_button.SetToolTipString("Compute and Draw.") 73 sizer_fit.Add(self.draw_button, 0, 0) 74 sizer_fit.Add(self.btFit, 0, 0) 75 sizer_chi2.Add((-1, 5)) 76 # get smear_selection 77 self.current_smearer = smear_selection( self.data, self.model ) 78 boxsizer_range.Add(self.sizer_set_masking) 79 #2D data? default 80 is_2Ddata = False 81 82 #check if it is 2D data 83 if self.data.__class__.__name__ == "Data2D" or \ 84 self.enable2D: 85 is_2Ddata = True 86 87 self.sizer5.Clear(True) 88 89 self.qmin = self.ModelTextCtrl(self, -1, size=(_BOX_WIDTH, 20), 90 style=wx.TE_PROCESS_ENTER, 91 text_enter_callback = self._onQrangeEnter) 92 self.qmin.SetValue(str(self.qmin_x)) 93 self.qmin.SetToolTipString("Minimun value of Q in linear scale.") 94 95 self.qmax = self.ModelTextCtrl(self, -1, size=(_BOX_WIDTH, 20), 96 style=wx.TE_PROCESS_ENTER, 97 text_enter_callback=self._onQrangeEnter) 98 self.qmax.SetValue(str(self.qmax_x)) 99 self.qmax.SetToolTipString("Maximum value of Q in linear scale.") 100 101 id = wx.NewId() 102 self.reset_qrange =wx.Button(self, id, 'Reset', size=(77, 20)) 103 104 self.reset_qrange.Bind(wx.EVT_BUTTON, self.on_reset_clicked, id=id) 105 self.reset_qrange.SetToolTipString(\ 106 "Reset Q range to the default values") 107 108 sizer_horizontal = wx.BoxSizer(wx.HORIZONTAL) 109 sizer = wx.GridSizer(2, 4, 2, 6) 110 111 self.btEditMask = wx.Button(self, wx.NewId(),'Editor', size=(88, 23)) 112 self.btEditMask.Bind(wx.EVT_BUTTON, 113 self._onMask,id=self.btEditMask.GetId()) 114 self.btEditMask.SetToolTipString("Edit Mask.") 115 self.EditMask_title = wx.StaticText(self, -1, ' Masking(2D)') 116 117 sizer.Add(wx.StaticText(self, -1, 'Q range')) 118 sizer.Add(wx.StaticText(self, -1, ' Min[1/A]')) 119 sizer.Add(wx.StaticText(self, -1, ' Max[1/A]')) 120 sizer.Add(self.EditMask_title) 121 122 sizer.Add(self.reset_qrange) 123 sizer.Add(self.qmin) 124 sizer.Add(self.qmax) 125 126 sizer.Add(self.btEditMask) 127 boxsizer_range.Add(sizer_chi2) 128 boxsizer_range.Add((10, 10)) 129 boxsizer_range.Add(sizer) 130 131 boxsizer_range.Add((10, 15)) 132 boxsizer_range.Add(sizer_fit) 133 if is_2Ddata: 134 self.btEditMask.Enable() 135 self.EditMask_title.Enable() 40 self.data_box_description = wx.StaticBox(self, -1, 'I(q) Data Source') 41 if check_data_validity(self.data): 42 dname_color = wx.BLUE 136 43 else: 137 self.btEditMask.Disable() 138 self.EditMask_title.Disable() 139 140 ## save state 141 #self.save_current_state() 142 143 self.sizer5.Add(boxsizer_range, 0, wx.EXPAND | wx.ALL, 10) 144 self.sizer5.Layout() 145 146 def _on_select_model(self, event=None): 147 """ 148 call back for model selection 149 """ 150 151 self.Show(False) 152 self._on_select_model_helper() 153 self.set_model_param_sizer(self.model) 154 if self.model is None: 155 self._set_bookmark_flag(False) 156 self._keep.Enable(False) 157 self._set_save_flag(False) 158 self.enable_disp.SetValue(False) 159 self.disable_disp.SetValue(True) 160 try: 161 self.set_dispers_sizer() 162 except: 163 pass 164 self.state.structurecombobox = self.structurebox.GetCurrentSelection() 165 self.state.formfactorcombobox = self.formfactorbox.GetCurrentSelection() 166 167 if self.model != None: 168 self._set_copy_flag(True) 169 self._set_paste_flag(True) 170 if self.data != None: 171 self._set_bookmark_flag(False) 172 self._keep.Enable(False) 173 174 temp_smear = None 175 ## event to post model to fit to fitting plugins 176 (ModelEventbox, _) = wx.lib.newevent.NewEvent() 177 178 ## set smearing value whether or not 179 # the data contain the smearing info 180 evt = ModelEventbox(model=self.model, 181 smearer=temp_smear, 182 qmin=float(self.qmin_x), 183 uid=self.uid, 184 qmax=float(self.qmax_x)) 185 186 self._manager._on_model_panel(evt=evt) 187 self.mbox_description.SetLabel("Model [%s]" % str(self.model.name)) 188 self.state.model = self.model.clone() 189 self.state.model.name = self.model.name 190 191 192 if event != None: 193 ## post state to fit panel 194 new_event = PageInfoEvent(page = self) 195 wx.PostEvent(self.parent, new_event) 196 #update list of plugins if new plugin is available 197 if self.plugin_rbutton.GetValue(): 198 temp = self.parent.update_model_list() 199 if temp: 200 self.model_list_box = temp 201 current_val = self.formfactorbox.GetValue() 202 pos = self.formfactorbox.GetSelection() 203 self._show_combox_helper() 204 self.formfactorbox.SetSelection(pos) 205 self.formfactorbox.SetValue(current_val) 206 self._onDraw(event=None) 207 else: 208 self._draw_model() 209 self.SetupScrolling() 210 self.Show(True) 211 212 def _update_paramv_on_fit(self): 213 """ 214 make sure that update param values just before the fitting 215 """ 216 #flag for qmin qmax check values 217 flag = True 218 self.fitrange = True 219 is_modified = False 220 221 if self.model != None: 222 ##Check the values 223 self._check_value_enter( self.fittable_param, is_modified) 224 self._check_value_enter( self.fixed_param, is_modified) 225 self._check_value_enter( self.parameters, is_modified) 226 227 # If qmin and qmax have been modified, update qmin and qmax and 228 # Here we should check whether the boundaries have been modified. 229 # If qmin and qmax have been modified, update qmin and qmax and 230 # set the is_modified flag to True 231 self.fitrange = self._validate_qrange(self.qmin, self.qmax) 232 if self.fitrange: 233 tempmin = float(self.qmin.GetValue()) 234 if tempmin != self.qmin_x: 235 self.qmin_x = tempmin 236 tempmax = float(self.qmax.GetValue()) 237 if tempmax != self.qmax_x: 238 self.qmax_x = tempmax 239 if tempmax == tempmin: 240 flag = False 241 #temp_smearer = None 242 if self._is_2D(): 243 # only 2D case set mask 244 flag = self._validate_Npts() 245 if not flag: 246 return flag 247 else: flag = False 248 else: 249 flag = False 250 251 #For invalid q range, disable the mask editor and fit button, vs. 252 if not self.fitrange: 253 #self.btFit.Disable() 254 if self._is_2D(): 255 self.btEditMask.Disable() 256 else: 257 #self.btFit.Enable(True) 258 if self._is_2D() and self.data != None: 259 self.btEditMask.Enable(True) 260 261 if not flag: 262 msg = "Cannot Plot or Fit :Must select a " 263 msg += " model or Fitting range is not valid!!! " 264 wx.PostEvent(self.parent.parent, StatusEvent(status=msg)) 265 266 self.save_current_state() 267 268 return flag 269 def save_current_state(self): 270 """ 271 Currently no save option implemented for batch page 272 """ 273 pass 274 def save_current_state_fit(self): 275 """ 276 Currently no save option implemented for batch page 277 """ 278 pass 279 def set_data(self, data): 280 """ 281 reset the current data 282 """ 283 #id = None 284 group_id = None 285 flag = False 286 if self.data is None and data is not None: 287 flag = True 288 if data is not None: 289 #id = data.id 290 group_id = data.group_id 291 if self.data is not None: 292 flag = (data.id != self.data.id) 293 self.data = data 294 if self.data is None: 295 data_min = "" 296 data_max = "" 297 data_name = "" 298 self._set_bookmark_flag(False) 299 self._keep.Enable(False) 300 self._set_save_flag(False) 301 else: 302 if self.model != None: 303 self._set_bookmark_flag(False) 304 self._keep.Enable(False) 305 self._set_save_flag(False) 306 self._set_preview_flag(True) 307 308 self.formfactorbox.Enable() 309 self.structurebox.Enable() 310 data_name = self.data.name 311 #set maximum range for x in linear scale 312 if not hasattr(self.data,"data"): #Display only for 1D data fit 313 # Minimum value of data 314 data_min = min(self.data.x) 315 # Maximum value of data 316 data_max = max(self.data.x) 317 self.btEditMask.Disable() 318 self.EditMask_title.Disable() 319 else: 320 321 ## Minimum value of data 322 data_min = 0 323 x = max(math.fabs(self.data.xmin), math.fabs(self.data.xmax)) 324 y = max(math.fabs(self.data.ymin), math.fabs(self.data.ymax)) 325 ## Maximum value of data 326 data_max = math.sqrt(x*x + y*y) 327 self.btEditMask.Enable() 328 self.EditMask_title.Enable() 329 330 self.dataSource.SetValue(data_name) 331 self.qmin_x = data_min 332 self.qmax_x = data_max 333 #self.minimum_q.SetValue(str(data_min)) 334 #self.maximum_q.SetValue(str(data_max)) 335 self.qmin.SetValue(str(data_min)) 336 self.qmax.SetValue(str(data_max)) 337 self.qmin.SetBackgroundColour("white") 338 self.qmax.SetBackgroundColour("white") 339 self.state.data = data 340 self.state.qmin = self.qmin_x 341 self.state.qmax = self.qmax_x 342 343 #update model plot with new data information 344 if flag: 345 #set model view button 346 if self.data.__class__.__name__ == "Data2D": 347 self.enable2D = True 348 self.model_view.SetLabel("2D Mode") 349 else: 350 self.enable2D = False 351 self.model_view.SetLabel("1D Mode") 352 353 self.model_view.Disable() 354 355 wx.PostEvent(self._manager.parent, 356 NewPlotEvent(group_id=group_id, 357 action="delete")) 358 #plot the current selected data 359 wx.PostEvent(self._manager.parent, NewPlotEvent(plot=self.data, 360 title=str(self.data.title))) 361 self._manager.store_data(uid=self.uid, data=data, 362 data_list=self.data_list, 363 caption=self.window_name) 364 self._draw_model() 44 dname_color = wx.RED 45 self.data_box_description.SetForegroundColour(dname_color) 46 boxsizer1 = wx.StaticBoxSizer(self.data_box_description, wx.VERTICAL) 47 #---------------------------------------------------------- 48 sizer_data = wx.BoxSizer(wx.VERTICAL) 49 text1 = wx.StaticText(self, -1, ' - Choose a file to set initial fit parameters -') 50 text1.SetForegroundColour(wx.RED) 51 sizer_data.Add(text1) 52 text2 = wx.StaticText(self, -1, ' - This panel is not designed to view individual fits. - ') 53 text2.SetForegroundColour(wx.RED) 54 sizer_data.Add(text2) 55 56 combo = wx.BoxSizer(wx.HORIZONTAL) 57 self.dataSource = wx.ComboBox(self, -1, style=wx.CB_READONLY) 58 wx.EVT_COMBOBOX(self.dataSource, -1, self.on_select_data) 59 self.dataSource.SetMinSize((_DATA_BOX_WIDTH, -1)) 60 61 combo.Add(wx.StaticText(self, -1, 'Name : ')) 62 combo.Add((0,5)) 63 combo.Add(self.dataSource) 64 65 sizer_data.Add(combo, 0, wx.ALL, 10) 66 boxsizer1.Add(sizer_data, 0, wx.ALL, 0) 67 self.sizer0.Add(boxsizer1, 0, wx.EXPAND | wx.ALL, 10) 68 self.sizer0.Layout() 69 70 # COMMENTED OUT TO USE METHODS INHERITED FROM fitpage.py 71 72 # def _fill_range_sizer(self): 73 # """ 74 # Fill the sizer containing the plotting range 75 # add access to npts 76 # """ 77 # is_2Ddata = False 78 # 79 # # Check if data is 2D 80 # if self.data.__class__.__name__ == "Data2D" or \ 81 # self.enable2D: 82 # is_2Ddata = True 83 # 84 # title = "Fitting" 85 # self._get_smear_info() 86 # 87 # #Sizers 88 # box_description_range = wx.StaticBox(self, -1, str(title)) 89 # boxsizer_range = wx.StaticBoxSizer(box_description_range, wx.VERTICAL) 90 # self.sizer_set_smearer = wx.BoxSizer(wx.VERTICAL) 91 # #sizer_smearer = wx.BoxSizer(wx.HORIZONTAL) 92 # self.sizer_new_smear = wx.BoxSizer(wx.HORIZONTAL) 93 # self.sizer_set_masking = wx.BoxSizer(wx.HORIZONTAL) 94 # sizer_chi2 = wx.BoxSizer(wx.VERTICAL) 95 # 96 # sizer_fit = wx.GridSizer(2, 4, 2, 6) 97 # #Fit button 98 # self.btFit = wx.Button(self, wx.NewId(), 'Fit', size=(88, 25)) 99 # self.default_bt_colour = self.btFit.GetDefaultAttributes() 100 # self.btFit.Bind(wx.EVT_BUTTON, self._onFit, id= self.btFit.GetId()) 101 # self.btFit.SetToolTipString("Start fitting.") 102 # 103 # # Update and Draw button 104 # self.draw_button = wx.Button(self, wx.NewId(), 'Compute', size=(88, 24)) 105 # self.draw_button.Bind(wx.EVT_BUTTON, \ 106 # self._onDraw,id=self.draw_button.GetId()) 107 # self.draw_button.SetToolTipString("Compute and Draw.") 108 # sizer_fit.Add(self.draw_button, 0, 0) 109 # sizer_fit.Add(self.btFit, 0, 0) 110 # sizer_chi2.Add((-1, 5)) 111 # # get smear_selection 112 # self.current_smearer = smear_selection( self.data, self.model ) 113 # boxsizer_range.Add(self.sizer_set_masking) 114 # #2D data? default 115 # is_2Ddata = False 116 # 117 # #check if it is 2D data 118 # if self.data.__class__.__name__ == "Data2D" or \ 119 # self.enable2D: 120 # is_2Ddata = True 121 # 122 # self.sizer5.Clear(True) 123 # 124 # self.qmin = self.ModelTextCtrl(self, -1, size=(_BOX_WIDTH, 20), 125 # style=wx.TE_PROCESS_ENTER, 126 # text_enter_callback = self._onQrangeEnter) 127 # self.qmin.SetValue(str(self.qmin_x)) 128 # self.qmin.SetToolTipString("Minimun value of Q in linear scale.") 129 # 130 # self.qmax = self.ModelTextCtrl(self, -1, size=(_BOX_WIDTH, 20), 131 # style=wx.TE_PROCESS_ENTER, 132 # text_enter_callback=self._onQrangeEnter) 133 # self.qmax.SetValue(str(self.qmax_x)) 134 # self.qmax.SetToolTipString("Maximum value of Q in linear scale.") 135 # 136 # id = wx.NewId() 137 # self.reset_qrange =wx.Button(self, id, 'Reset', size=(77, 20)) 138 # 139 # self.reset_qrange.Bind(wx.EVT_BUTTON, self.on_reset_clicked, id=id) 140 # self.reset_qrange.SetToolTipString(\ 141 # "Reset Q range to the default values") 142 # 143 # sizer_horizontal = wx.BoxSizer(wx.HORIZONTAL) 144 # sizer = wx.GridSizer(2, 4, 2, 6) 145 # 146 # self.btEditMask = wx.Button(self, wx.NewId(),'Editor', size=(88, 23)) 147 # self.btEditMask.Bind(wx.EVT_BUTTON, 148 # self._onMask,id=self.btEditMask.GetId()) 149 # self.btEditMask.SetToolTipString("Edit Mask.") 150 # self.EditMask_title = wx.StaticText(self, -1, ' Masking(2D)') 151 # 152 # sizer.Add(wx.StaticText(self, -1, 'Q range')) 153 # sizer.Add(wx.StaticText(self, -1, ' Min[1/A]')) 154 # sizer.Add(wx.StaticText(self, -1, ' Max[1/A]')) 155 # sizer.Add(self.EditMask_title) 156 # 157 # sizer.Add(self.reset_qrange) 158 # sizer.Add(self.qmin) 159 # sizer.Add(self.qmax) 160 # 161 # sizer.Add(self.btEditMask) 162 # boxsizer_range.Add(sizer_chi2) 163 # boxsizer_range.Add((10, 10)) 164 # boxsizer_range.Add(sizer) 165 # 166 # boxsizer_range.Add((10, 15)) 167 # boxsizer_range.Add(sizer_fit) 168 # if is_2Ddata: 169 # self.btEditMask.Enable() 170 # self.EditMask_title.Enable() 171 # else: 172 # self.btEditMask.Disable() 173 # self.EditMask_title.Disable() 174 # 175 # ## save state 176 # #self.save_current_state() 177 # 178 # self.sizer5.Add(boxsizer_range, 0, wx.EXPAND | wx.ALL, 10) 179 # self.sizer5.Layout() 180 # 181 # def _on_select_model(self, event=None): 182 # """ 183 # call back for model selection 184 # """ 185 # 186 # self.Show(False) 187 # self._on_select_model_helper() 188 # self.set_model_param_sizer(self.model) 189 # if self.model is None: 190 # self._set_bookmark_flag(False) 191 # self._keep.Enable(False) 192 # self._set_save_flag(False) 193 # self.enable_disp.SetValue(False) 194 # self.disable_disp.SetValue(True) 195 # try: 196 # self.set_dispers_sizer() 197 # except: 198 # pass 199 # self.state.structurecombobox = self.structurebox.GetCurrentSelection() 200 # self.state.formfactorcombobox = self.formfactorbox.GetCurrentSelection() 201 # 202 # if self.model != None: 203 # self._set_copy_flag(True) 204 # self._set_paste_flag(True) 205 # if self.data != None: 206 # self._set_bookmark_flag(False) 207 # self._keep.Enable(False) 208 # 209 # temp_smear = None 210 # ## event to post model to fit to fitting plugins 211 # (ModelEventbox, _) = wx.lib.newevent.NewEvent() 212 # 213 # ## set smearing value whether or not 214 # # the data contain the smearing info 215 # evt = ModelEventbox(model=self.model, 216 # smearer=temp_smear, 217 # qmin=float(self.qmin_x), 218 # uid=self.uid, 219 # qmax=float(self.qmax_x)) 220 # 221 # self._manager._on_model_panel(evt=evt) 222 # self.mbox_description.SetLabel("Model [%s]" % str(self.model.name)) 223 # self.state.model = self.model.clone() 224 # self.state.model.name = self.model.name 225 # 226 # 227 # if event != None: 228 # ## post state to fit panel 229 # new_event = PageInfoEvent(page = self) 230 # wx.PostEvent(self.parent, new_event) 231 # #update list of plugins if new plugin is available 232 # if self.plugin_rbutton.GetValue(): 233 # temp = self.parent.update_model_list() 234 # if temp: 235 # self.model_list_box = temp 236 # current_val = self.formfactorbox.GetValue() 237 # pos = self.formfactorbox.GetSelection() 238 # self._show_combox_helper() 239 # self.formfactorbox.SetSelection(pos) 240 # self.formfactorbox.SetValue(current_val) 241 # self._onDraw(event=None) 242 # else: 243 # self._draw_model() 244 # self.SetupScrolling() 245 # self.Show(True) 246 # 247 # def _update_paramv_on_fit(self): 248 # """ 249 # make sure that update param values just before the fitting 250 # """ 251 # #flag for qmin qmax check values 252 # flag = True 253 # self.fitrange = True 254 # is_modified = False 255 # 256 # if self.model != None: 257 # ##Check the values 258 # self._check_value_enter( self.fittable_param, is_modified) 259 # self._check_value_enter( self.fixed_param, is_modified) 260 # self._check_value_enter( self.parameters, is_modified) 261 # 262 # # If qmin and qmax have been modified, update qmin and qmax and 263 # # Here we should check whether the boundaries have been modified. 264 # # If qmin and qmax have been modified, update qmin and qmax and 265 # # set the is_modified flag to True 266 # self.fitrange = self._validate_qrange(self.qmin, self.qmax) 267 # if self.fitrange: 268 # tempmin = float(self.qmin.GetValue()) 269 # if tempmin != self.qmin_x: 270 # self.qmin_x = tempmin 271 # tempmax = float(self.qmax.GetValue()) 272 # if tempmax != self.qmax_x: 273 # self.qmax_x = tempmax 274 # if tempmax == tempmin: 275 # flag = False 276 # #temp_smearer = None 277 # if self._is_2D(): 278 # # only 2D case set mask 279 # flag = self._validate_Npts() 280 # if not flag: 281 # return flag 282 # else: flag = False 283 # else: 284 # flag = False 285 # 286 # #For invalid q range, disable the mask editor and fit button, vs. 287 # if not self.fitrange: 288 # #self.btFit.Disable() 289 # if self._is_2D(): 290 # self.btEditMask.Disable() 291 # else: 292 # #self.btFit.Enable(True) 293 # if self._is_2D() and self.data != None: 294 # self.btEditMask.Enable(True) 295 # 296 # if not flag: 297 # msg = "Cannot Plot or Fit :Must select a " 298 # msg += " model or Fitting range is not valid!!! " 299 # wx.PostEvent(self.parent.parent, StatusEvent(status=msg)) 300 # 301 # self.save_current_state() 302 # 303 # return flag 304 # def save_current_state(self): 305 # """ 306 # Currently no save option implemented for batch page 307 # """ 308 # pass 309 # def save_current_state_fit(self): 310 # """ 311 # Currently no save option implemented for batch page 312 # """ 313 # pass 314 # def set_data(self, data): 315 # """ 316 # reset the current data 317 # """ 318 # #id = None 319 # group_id = None 320 # flag = False 321 # if self.data is None and data is not None: 322 # flag = True 323 # if data is not None: 324 # #id = data.id 325 # group_id = data.group_id 326 # if self.data is not None: 327 # flag = (data.id != self.data.id) 328 # self.data = data 329 # if self.data is None: 330 # data_min = "" 331 # data_max = "" 332 # data_name = "" 333 # self._set_bookmark_flag(False) 334 # self._keep.Enable(False) 335 # self._set_save_flag(False) 336 # else: 337 # if self.model != None: 338 # self._set_bookmark_flag(False) 339 # self._keep.Enable(False) 340 # self._set_save_flag(False) 341 # self._set_preview_flag(True) 342 # 343 # self.formfactorbox.Enable() 344 # self.structurebox.Enable() 345 # data_name = self.data.name 346 # #set maximum range for x in linear scale 347 # if not hasattr(self.data,"data"): #Display only for 1D data fit 348 # # Minimum value of data 349 # data_min = min(self.data.x) 350 # # Maximum value of data 351 # data_max = max(self.data.x) 352 # self.btEditMask.Disable() 353 # self.EditMask_title.Disable() 354 # else: 355 # 356 # ## Minimum value of data 357 # data_min = 0 358 # x = max(math.fabs(self.data.xmin), math.fabs(self.data.xmax)) 359 # y = max(math.fabs(self.data.ymin), math.fabs(self.data.ymax)) 360 # ## Maximum value of data 361 # data_max = math.sqrt(x*x + y*y) 362 # self.btEditMask.Enable() 363 # self.EditMask_title.Enable() 364 # 365 # self.dataSource.SetValue(data_name) 366 # self.qmin_x = data_min 367 # self.qmax_x = data_max 368 # #self.minimum_q.SetValue(str(data_min)) 369 # #self.maximum_q.SetValue(str(data_max)) 370 # self.qmin.SetValue(str(data_min)) 371 # self.qmax.SetValue(str(data_max)) 372 # self.qmin.SetBackgroundColour("white") 373 # self.qmax.SetBackgroundColour("white") 374 # self.state.data = data 375 # self.state.qmin = self.qmin_x 376 # self.state.qmax = self.qmax_x 377 # 378 # #update model plot with new data information 379 # if flag: 380 # #set model view button 381 # if self.data.__class__.__name__ == "Data2D": 382 # self.enable2D = True 383 # self.model_view.SetLabel("2D Mode") 384 # else: 385 # self.enable2D = False 386 # self.model_view.SetLabel("1D Mode") 387 # 388 # self.model_view.Disable() 389 # 390 # wx.PostEvent(self._manager.parent, 391 # NewPlotEvent(group_id=group_id, 392 # action="delete")) 393 # #plot the current selected data 394 # wx.PostEvent(self._manager.parent, NewPlotEvent(plot=self.data, 395 # title=str(self.data.title))) 396 # self._manager.store_data(uid=self.uid, data=data, 397 # data_list=self.data_list, 398 # caption=self.window_name) 399 # self._draw_model() 365 400 366 401 -
src/sas/perspectives/fitting/fitpanel.py
r79492222 rfa09d62 371 371 """ 372 372 from fitpage import FitPage 373 panel = FitPage(parent=self)373 from batchfitpage import BatchFitPage 374 374 if self.batch_on: 375 panel = BatchFitPage(parent=self) 375 376 self.batch_page_index += 1 376 377 caption = "BatchPage" + str(self.batch_page_index) … … 378 379 else: 379 380 #Increment index of fit page 381 panel = FitPage(parent=self) 380 382 self.fit_page_index += 1 381 383 caption = "FitPage" + str(self.fit_page_index) … … 467 469 if data_1d_list and data_2d_list: 468 470 # need to warning the user that this batch is a special case 469 from sas import BatchDataDialog471 from sas.perspectives.fitting.fitting_widgets import BatchDataDialog 470 472 dlg = BatchDataDialog(self) 471 473 if dlg.ShowModal() == wx.ID_OK: -
src/sas/perspectives/fitting/report_dialog.py
r4ec242e re8bb5b6 14 14 15 15 import wx 16 import sys17 16 import os 18 17 import wx.html as html 19 import logging20 18 21 _STATICBOX_WIDTH = 480 22 PANEL_WIDTH = 530 23 PANEL_HEIGHT = 700 24 FONT_VARIANT = 1 25 ISMAC = False 26 ISPDF = False 27 if sys.platform == "win32": 28 _STATICBOX_WIDTH = 450 29 PANEL_WIDTH = 500 30 PANEL_HEIGHT = 700 31 FONT_VARIANT = 0 32 ISMAC = False 33 ISPDF = True 34 elif sys.platform == "darwin": 35 ISMAC = True 36 ISPDF = True 19 from sas.guiframe.report_dialog import BaseReportDialog 37 20 38 39 class ReportDialog(wx.Dialog): 21 class ReportDialog(BaseReportDialog): 40 22 """ 41 23 The report dialog box. 42 24 """ 43 25 44 def __init__(self, list, *args, **kwds):26 def __init__(self, report_list, *args, **kwds): 45 27 """ 46 28 Initialization. The parameters added to Dialog are: 47 29 48 :param list: report_list (list of html_str, text_str, image)30 :param report_list: list of html_str, text_str, image 49 31 from invariant_state 50 32 """ 51 kwds["style"] = wx.RESIZE_BORDER|wx.DEFAULT_DIALOG_STYLE 52 wx.Dialog.__init__(self, *args, **kwds) 53 kwds["image"] = 'Dynamic Image' 33 super(ReportDialog, self).__init__(report_list, *args, **kwds) 34 54 35 # title 55 36 self.SetTitle("Report: Fitting") 56 # size 57 self.SetSize((720, 650)) 58 # font size 59 self.SetWindowVariant(variant=FONT_VARIANT) 60 # check if tit is MAC 61 self.is_pdf = ISPDF 62 # report string 63 self.report_list = list 37 64 38 # number of images of plot 65 self.nimages = len( list[2])39 self.nimages = len(self.report_list[2]) 66 40 67 if list[2] != None:41 if self.report_list[2] != None: 68 42 # put image path in the report string 69 if len( list[2]) == 1:43 if len(self.report_list[2]) == 1: 70 44 self.report_html = self.report_list[0] % \ 71 45 "memory:img_fit0.png" 72 elif len( list[2]) == 2:46 elif len(self.report_list) == 2: 73 47 self.report_html = self.report_list[0] % \ 74 48 ("memory:img_fit0.png", … … 85 59 self._setup_layout() 86 60 87 def _setup_layout(self):88 """89 Set up layout90 """91 hbox = wx.BoxSizer(wx.HORIZONTAL)92 93 # buttons94 id = wx.ID_OK95 button_close = wx.Button(self, id, "Close")96 button_close.SetToolTipString("Close this report window.")97 #hbox.Add((5,10), 1 , wx.EXPAND|wx.ADJUST_MINSIZE,0)98 hbox.Add(button_close)99 button_close.SetFocus()100 101 id = wx.NewId()102 button_preview = wx.Button(self, id, "Preview")103 button_preview.SetToolTipString("Print preview this report.")104 button_preview.Bind(wx.EVT_BUTTON, self.onPreview,105 id=button_preview.GetId())106 hbox.Add(button_preview)107 108 id = wx.NewId()109 button_print = wx.Button(self, id, "Print")110 button_print.SetToolTipString("Print this report.")111 button_print.Bind(wx.EVT_BUTTON, self.onPrint,112 id=button_print.GetId())113 hbox.Add(button_print)114 115 id = wx.NewId()116 button_save = wx.Button(self, id, "Save")117 button_save.SetToolTipString("Save this report.")118 button_save.Bind(wx.EVT_BUTTON, self.onSave, id=button_save.GetId())119 hbox.Add(button_save)120 121 # panel for report page122 #panel = wx.Panel(self, -1)123 vbox = wx.BoxSizer(wx.VERTICAL)124 # html window125 self.hwindow = html.HtmlWindow(self, style=wx.BORDER)126 # set the html page with the report string127 self.hwindow.SetPage(self.report_html)128 129 # add panels to boxsizers130 vbox.Add(hbox)131 vbox.Add(self.hwindow, 1, wx.EXPAND|wx.ALL,0)132 133 self.SetSizer(vbox)134 self.Centre()135 self.Show(True)136 137 61 def onSave(self, event=None): 138 62 """ 139 63 Save 140 64 """ 141 # pdf supporting only on MAC, not on exe142 if self.is_pdf:143 wild_card = ' PDF files (*.pdf)|*.pdf|'144 ind_cor = 0145 else:146 wild_card = ''147 ind_cor = 1148 wild_card += 'HTML files (*.html)|*.html|'149 wild_card += 'Text files (*.txt)|*.txt'150 151 65 #todo: complete saving fig file and as a txt file 152 66 dlg = wx.FileDialog(self, "Choose a file", 153 wildcard= wild_card,67 wildcard=self.wild_card, 154 68 style=wx.SAVE|wx.OVERWRITE_PROMPT|wx.CHANGE_DIR) 155 69 dlg.SetFilterIndex(0) # Set .html files to be default … … 166 80 pic_fname = [] 167 81 #PDF 168 if ext_num == (0 + 2 * ind_cor):82 if ext_num == (0 + 2 * self.index_offset): 169 83 # TODO: Sort this case out 170 84 ext = '.pdf' … … 216 130 return 217 131 #HTML + png(graph) 218 elif ext_num == (1 - ind_cor):132 elif ext_num == (1 - self.index_offset): 219 133 ext = '.html' 220 134 for num in range(self.nimages): … … 222 136 report_frame = self.report_list[0] 223 137 #TEXT + pdf(graph) 224 elif ext_num == (2 - ind_cor):138 elif ext_num == (2 - self.index_offset): 225 139 ext = '.txt' 226 140 # changing the image extension actually changes the image … … 241 155 pic_fname.append(pic_name) 242 156 #put the image path in html string 243 if ext_num == (1 - ind_cor):157 if ext_num == (1 - self.index_offset): 244 158 if self.nimages == 1: 245 159 report = report_frame % os.path.basename(pic_fname[0]) … … 259 173 self.report_list[2][num].savefig(pic_fname[num]) 260 174 261 def onPreview(self, event=None):262 """263 Preview264 265 : event: Preview button event266 """267 previewh = html.HtmlEasyPrinting(name="Printing", parentWindow=self)268 previewh.PreviewText(self.report_html)269 if event is not None:270 event.Skip()271 self.Update()272 273 def onPrint(self, event=None):274 """275 Print276 277 : event: Print button event278 """279 printh = html.HtmlEasyPrinting(name="Printing", parentWindow=self)280 printh.PrintText(self.report_html)281 if event is not None:282 event.Skip()283 self.Update()284 285 def OnClose(self, event=None):286 """287 Close the Dialog288 289 : event: Close button event290 """291 self.Close()292 # Reset memory293 #wx.MemoryFSHandler()294 if event is not None:295 event.Skip()296 297 def HTML2PDF(self, data, filename):298 """299 Create a PDF file from html source string.300 Returns True is the file creation was successful.301 302 : data: html string303 : filename: name of file to be saved304 """305 try:306 from xhtml2pdf import pisa307 # open output file for writing (truncated binary)308 resultFile = open(filename, "w+b")309 # convert HTML to PDF310 pisaStatus = pisa.CreatePDF(data, dest=resultFile)311 # close output file312 resultFile.close()313 self.Update()314 return pisaStatus.err315 except:316 logging.error("Error creating pdf: %s" % sys.exc_value)317 return False -
src/sas/perspectives/invariant/report_dialog.py
r4ec242e re8bb5b6 15 15 """ 16 16 import wx 17 import sys18 17 import os 19 18 import wx.html as html 20 import logging 21 ISPDF = False 22 if sys.platform == "win32": 23 _STATICBOX_WIDTH = 450 24 PANEL_WIDTH = 500 25 PANEL_HEIGHT = 700 26 FONT_VARIANT = 0 27 ISMAC = False 28 ISPDF = True 29 elif sys.platform == "darwin": 30 _STATICBOX_WIDTH = 480 31 PANEL_WIDTH = 530 32 PANEL_HEIGHT = 700 33 FONT_VARIANT = 1 34 ISMAC = True 35 ISPDF = True 36 37 class ReportDialog(wx.Dialog): 19 20 from sas.guiframe.report_dialog import BaseReportDialog 21 22 class ReportDialog(BaseReportDialog): 38 23 """ 39 24 The report dialog box. 40 25 """ 41 26 42 def __init__(self, list, *args, **kwds):27 def __init__(self, report_list, *args, **kwds): 43 28 """ 44 29 Initialization. The parameters added to Dialog are: 45 30 46 :param list: report_list (list of html_str, text_str, image)31 :param report_list: list of html_str, text_str, image 47 32 from invariant_state 48 33 """ 49 kwds["style"] = wx.RESIZE_BORDER|wx.DEFAULT_DIALOG_STYLE 50 wx.Dialog.__init__(self, *args, **kwds) 51 kwds["image"] = 'Dynamic Image' 34 super(ReportDialog, self).__init__(report_list, *args, **kwds) 35 52 36 # title 53 37 self.SetTitle("Report: Invariant computaion") 54 # size55 self.SetSize((720, 650))56 # font size57 self.SetWindowVariant(variant=FONT_VARIANT)58 38 59 # check if tit is MAC60 self.is_pdf = ISPDF61 62 # report string63 self.report_list = list64 39 # put image path in the report string 65 40 self.report_html = self.report_list[0] % "memory:img_inv.png" 66 41 # layout 67 42 self._setup_layout() 68 # wild card69 # pdf supporting only on MAC70 if self.is_pdf:71 self.wild_card = ' PDF files (*.pdf)|*.pdf|'72 else:73 self.wild_card = ''74 self.wild_card += 'HTML files (*.html)|*.html|'75 self.wild_card += 'Text files (*.txt)|*.txt'76 77 78 79 def _setup_layout(self):80 """81 Set up layout82 """83 hbox = wx.BoxSizer(wx.HORIZONTAL)84 85 # buttons86 id = wx.ID_OK87 button_close = wx.Button(self, id, "Close")88 button_close.SetToolTipString("Close this report window.")89 #hbox.Add((5,10), 1 , wx.EXPAND|wx.ADJUST_MINSIZE,0)90 hbox.Add(button_close)91 button_close.SetFocus()92 93 id = wx.NewId()94 button_preview = wx.Button(self, id, "Preview")95 button_preview.SetToolTipString("Print preview this report.")96 button_preview.Bind(wx.EVT_BUTTON, self.onPreview,97 id=button_preview.GetId())98 hbox.Add(button_preview)99 100 id = wx.NewId()101 button_print = wx.Button(self, id, "Print")102 button_print.SetToolTipString("Print this report.")103 button_print.Bind(wx.EVT_BUTTON, self.onPrint,104 id=button_print.GetId())105 hbox.Add(button_print)106 107 id = wx.NewId()108 button_save = wx.Button(self, id, "Save" )109 button_save.SetToolTipString("Save this report.")110 button_save.Bind(wx.EVT_BUTTON, self.onSave, id = button_save.GetId())111 hbox.Add(button_save)112 113 # panel for report page114 #panel = wx.Panel(self, -1)115 vbox = wx.BoxSizer(wx.VERTICAL)116 # html window117 self.hwindow = html.HtmlWindow(self,style=wx.BORDER)118 # set the html page with the report string119 self.hwindow.SetPage(self.report_html)120 121 # add panels to boxsizers122 vbox.Add(hbox)123 vbox.Add(self.hwindow, 1, wx.EXPAND|wx.ALL,0)124 125 self.SetSizer(vbox)126 self.Centre()127 self.Show(True)128 129 43 130 44 def onSave(self, event=None): … … 144 58 fName = dlg.GetPath() 145 59 ext_num = dlg.GetFilterIndex() 146 # index correction147 if not self.is_pdf:148 ind_cor = 1149 else:150 ind_cor = 0151 60 #set file extensions 152 if ext_num == (0 + 2 * ind_cor):153 61 if ext_num == (0 + 2 * self.index_offset): 62 # TODO: Sort this case out 154 63 ext = '.pdf' 155 64 img_ext = '_img.png' … … 186 95 os.remove(pic_fname) 187 96 return 188 elif ext_num == (1 - ind_cor):97 elif ext_num == (1 - self.index_offset): 189 98 ext = '.html' 190 99 img_ext = '_img4html.png' 191 100 report_frame = self.report_list[0] 192 elif ext_num == (2 - ind_cor):101 elif ext_num == (2 - self.index_offset): 193 102 ext = '.txt' 194 103 # changing the image extension actually changes the image … … 205 114 pic_fname = os.path.splitext(fName)[0] + img_ext 206 115 #put the image path in html string 207 if ext_num == (1 - ind_cor):116 if ext_num == (1 - self.index_offset): 208 117 report = report_frame % os.path.basename(pic_fname) 209 118 … … 214 123 self.report_list[2].savefig(pic_fname) 215 124 216 217 def onPreview(self, event=None):218 """219 Preview220 221 : event: Preview button event222 """223 previewh = html.HtmlEasyPrinting(name="Printing", parentWindow=self)224 previewh.PreviewText(self.report_html)225 if event is not None:226 event.Skip()227 228 def onPrint(self, event=None):229 """230 Print231 232 : event: Print button event233 """234 printh = html.HtmlEasyPrinting(name="Printing", parentWindow=self)235 printh.PrintText(self.report_html)236 if event is not None:237 event.Skip()238 239 def OnClose(self,event=None):240 """241 Close the Dialog242 243 : event: Close button event244 """245 self.Close()246 247 def HTML2PDF(self, data, filename):248 """249 Create a PDF file from html source string.250 Returns True is the file creation was successful.251 252 : data: html string253 : filename: name of file to be saved254 """255 try:256 from xhtml2pdf import pisa257 # open output file for writing (truncated binary)258 resultFile = open(filename, "w+b")259 # convert HTML to PDF260 pisaStatus = pisa.CreatePDF(data, dest=resultFile)261 # close output file262 resultFile.close()263 self.Update()264 return pisaStatus.err265 except:266 logging.error("Error creating pdf: %s" % sys.exc_value)267 return False
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