| 1 | """ |
|---|
| 2 | Module that contains classes to hold information read from |
|---|
| 3 | reduced data files. |
|---|
| 4 | |
|---|
| 5 | A good description of the data members can be found in |
|---|
| 6 | the CanSAS 1D XML data format: |
|---|
| 7 | |
|---|
| 8 | http://www.smallangles.net/wgwiki/index.php/cansas1d_documentation |
|---|
| 9 | """ |
|---|
| 10 | ##################################################################### |
|---|
| 11 | #This software was developed by the University of Tennessee as part of the |
|---|
| 12 | #Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
|---|
| 13 | #project funded by the US National Science Foundation. |
|---|
| 14 | #See the license text in license.txt |
|---|
| 15 | #copyright 2008, University of Tennessee |
|---|
| 16 | ###################################################################### |
|---|
| 17 | |
|---|
| 18 | |
|---|
| 19 | #TODO: Keep track of data manipulation in the 'process' data structure. |
|---|
| 20 | #TODO: This module should be independent of plottables. We should write |
|---|
| 21 | # an adapter class for plottables when needed. |
|---|
| 22 | |
|---|
| 23 | #from sans.guitools.plottables import Data1D as plottable_1D |
|---|
| 24 | from data_util.uncertainty import Uncertainty |
|---|
| 25 | import numpy |
|---|
| 26 | import math |
|---|
| 27 | |
|---|
| 28 | |
|---|
| 29 | class plottable_1D: |
|---|
| 30 | """ |
|---|
| 31 | Data1D is a place holder for 1D plottables. |
|---|
| 32 | """ |
|---|
| 33 | # The presence of these should be mutually |
|---|
| 34 | # exclusive with the presence of Qdev (dx) |
|---|
| 35 | x = None |
|---|
| 36 | y = None |
|---|
| 37 | dx = None |
|---|
| 38 | dy = None |
|---|
| 39 | ## Slit smearing length |
|---|
| 40 | dxl = None |
|---|
| 41 | ## Slit smearing width |
|---|
| 42 | dxw = None |
|---|
| 43 | |
|---|
| 44 | # Units |
|---|
| 45 | _xaxis = '' |
|---|
| 46 | _xunit = '' |
|---|
| 47 | _yaxis = '' |
|---|
| 48 | _yunit = '' |
|---|
| 49 | |
|---|
| 50 | def __init__(self, x, y, dx=None, dy=None, dxl=None, dxw=None): |
|---|
| 51 | self.x = numpy.asarray(x) |
|---|
| 52 | self.y = numpy.asarray(y) |
|---|
| 53 | if dx is not None: |
|---|
| 54 | self.dx = numpy.asarray(dx) |
|---|
| 55 | if dy is not None: |
|---|
| 56 | self.dy = numpy.asarray(dy) |
|---|
| 57 | if dxl is not None: |
|---|
| 58 | self.dxl = numpy.asarray(dxl) |
|---|
| 59 | if dxw is not None: |
|---|
| 60 | self.dxw = numpy.asarray(dxw) |
|---|
| 61 | |
|---|
| 62 | def xaxis(self, label, unit): |
|---|
| 63 | """ |
|---|
| 64 | set the x axis label and unit |
|---|
| 65 | """ |
|---|
| 66 | self._xaxis = label |
|---|
| 67 | self._xunit = unit |
|---|
| 68 | |
|---|
| 69 | def yaxis(self, label, unit): |
|---|
| 70 | """ |
|---|
| 71 | set the y axis label and unit |
|---|
| 72 | """ |
|---|
| 73 | self._yaxis = label |
|---|
| 74 | self._yunit = unit |
|---|
| 75 | |
|---|
| 76 | |
|---|
| 77 | class plottable_2D: |
|---|
| 78 | """ |
|---|
| 79 | Data2D is a place holder for 2D plottables. |
|---|
| 80 | """ |
|---|
| 81 | xmin = None |
|---|
| 82 | xmax = None |
|---|
| 83 | ymin = None |
|---|
| 84 | ymax = None |
|---|
| 85 | data = None |
|---|
| 86 | qx_data = None |
|---|
| 87 | qy_data = None |
|---|
| 88 | q_data = None |
|---|
| 89 | err_data = None |
|---|
| 90 | dqx_data = None |
|---|
| 91 | dqy_data = None |
|---|
| 92 | mask = None |
|---|
| 93 | |
|---|
| 94 | # Units |
|---|
| 95 | _xaxis = '' |
|---|
| 96 | _xunit = '' |
|---|
| 97 | _yaxis = '' |
|---|
| 98 | _yunit = '' |
|---|
| 99 | _zaxis = '' |
|---|
| 100 | _zunit = '' |
|---|
| 101 | |
|---|
| 102 | def __init__(self, data=None, err_data=None, qx_data=None, |
|---|
| 103 | qy_data=None, q_data=None, mask=None, |
|---|
| 104 | dqx_data=None, dqy_data=None): |
|---|
| 105 | self.data = numpy.asarray(data) |
|---|
| 106 | self.qx_data = numpy.asarray(qx_data) |
|---|
| 107 | self.qy_data = numpy.asarray(qy_data) |
|---|
| 108 | self.q_data = numpy.asarray(q_data) |
|---|
| 109 | self.mask = numpy.asarray(mask) |
|---|
| 110 | self.err_data = numpy.asarray(err_data) |
|---|
| 111 | if dqx_data is not None: |
|---|
| 112 | self.dqx_data = numpy.asarray(dqx_data) |
|---|
| 113 | if dqy_data is not None: |
|---|
| 114 | self.dqy_data = numpy.asarray(dqy_data) |
|---|
| 115 | |
|---|
| 116 | def xaxis(self, label, unit): |
|---|
| 117 | """ |
|---|
| 118 | set the x axis label and unit |
|---|
| 119 | """ |
|---|
| 120 | self._xaxis = label |
|---|
| 121 | self._xunit = unit |
|---|
| 122 | |
|---|
| 123 | def yaxis(self, label, unit): |
|---|
| 124 | """ |
|---|
| 125 | set the y axis label and unit |
|---|
| 126 | """ |
|---|
| 127 | self._yaxis = label |
|---|
| 128 | self._yunit = unit |
|---|
| 129 | |
|---|
| 130 | def zaxis(self, label, unit): |
|---|
| 131 | """ |
|---|
| 132 | set the z axis label and unit |
|---|
| 133 | """ |
|---|
| 134 | self._zaxis = label |
|---|
| 135 | self._zunit = unit |
|---|
| 136 | |
|---|
| 137 | |
|---|
| 138 | class Vector: |
|---|
| 139 | """ |
|---|
| 140 | Vector class to hold multi-dimensional objects |
|---|
| 141 | """ |
|---|
| 142 | ## x component |
|---|
| 143 | x = None |
|---|
| 144 | ## y component |
|---|
| 145 | y = None |
|---|
| 146 | ## z component |
|---|
| 147 | z = None |
|---|
| 148 | |
|---|
| 149 | def __init__(self, x=None, y=None, z=None): |
|---|
| 150 | """ |
|---|
| 151 | Initialization. Components that are not |
|---|
| 152 | set a set to None by default. |
|---|
| 153 | |
|---|
| 154 | :param x: x component |
|---|
| 155 | :param y: y component |
|---|
| 156 | :param z: z component |
|---|
| 157 | |
|---|
| 158 | """ |
|---|
| 159 | self.x = x |
|---|
| 160 | self.y = y |
|---|
| 161 | self.z = z |
|---|
| 162 | |
|---|
| 163 | def __str__(self): |
|---|
| 164 | msg = "x = %s\ty = %s\tz = %s" % (str(self.x), str(self.y), str(self.z)) |
|---|
| 165 | return msg |
|---|
| 166 | |
|---|
| 167 | |
|---|
| 168 | class Detector: |
|---|
| 169 | """ |
|---|
| 170 | Class to hold detector information |
|---|
| 171 | """ |
|---|
| 172 | ## Name of the instrument [string] |
|---|
| 173 | name = None |
|---|
| 174 | ## Sample to detector distance [float] [mm] |
|---|
| 175 | distance = None |
|---|
| 176 | distance_unit = 'mm' |
|---|
| 177 | ## Offset of this detector position in X, Y, |
|---|
| 178 | #(and Z if necessary) [Vector] [mm] |
|---|
| 179 | offset = None |
|---|
| 180 | offset_unit = 'm' |
|---|
| 181 | ## Orientation (rotation) of this detector in roll, |
|---|
| 182 | # pitch, and yaw [Vector] [degrees] |
|---|
| 183 | orientation = None |
|---|
| 184 | orientation_unit = 'degree' |
|---|
| 185 | ## Center of the beam on the detector in X and Y |
|---|
| 186 | #(and Z if necessary) [Vector] [mm] |
|---|
| 187 | beam_center = None |
|---|
| 188 | beam_center_unit = 'mm' |
|---|
| 189 | ## Pixel size in X, Y, (and Z if necessary) [Vector] [mm] |
|---|
| 190 | pixel_size = None |
|---|
| 191 | pixel_size_unit = 'mm' |
|---|
| 192 | ## Slit length of the instrument for this detector.[float] [mm] |
|---|
| 193 | slit_length = None |
|---|
| 194 | slit_length_unit = 'mm' |
|---|
| 195 | |
|---|
| 196 | def __init__(self): |
|---|
| 197 | """ |
|---|
| 198 | |
|---|
| 199 | Initialize class attribute that are objects... |
|---|
| 200 | |
|---|
| 201 | """ |
|---|
| 202 | self.offset = Vector() |
|---|
| 203 | self.orientation = Vector() |
|---|
| 204 | self.beam_center = Vector() |
|---|
| 205 | self.pixel_size = Vector() |
|---|
| 206 | |
|---|
| 207 | def __str__(self): |
|---|
| 208 | _str = "Detector:\n" |
|---|
| 209 | _str += " Name: %s\n" % self.name |
|---|
| 210 | _str += " Distance: %s [%s]\n" % \ |
|---|
| 211 | (str(self.distance), str(self.distance_unit)) |
|---|
| 212 | _str += " Offset: %s [%s]\n" % \ |
|---|
| 213 | (str(self.offset), str(self.offset_unit)) |
|---|
| 214 | _str += " Orientation: %s [%s]\n" % \ |
|---|
| 215 | (str(self.orientation), str(self.orientation_unit)) |
|---|
| 216 | _str += " Beam center: %s [%s]\n" % \ |
|---|
| 217 | (str(self.beam_center), str(self.beam_center_unit)) |
|---|
| 218 | _str += " Pixel size: %s [%s]\n" % \ |
|---|
| 219 | (str(self.pixel_size), str(self.pixel_size_unit)) |
|---|
| 220 | _str += " Slit length: %s [%s]\n" % \ |
|---|
| 221 | (str(self.slit_length), str(self.slit_length_unit)) |
|---|
| 222 | return _str |
|---|
| 223 | |
|---|
| 224 | |
|---|
| 225 | class Aperture: |
|---|
| 226 | ## Name |
|---|
| 227 | name = None |
|---|
| 228 | ## Type |
|---|
| 229 | type = None |
|---|
| 230 | ## Size name |
|---|
| 231 | size_name = None |
|---|
| 232 | ## Aperture size [Vector] |
|---|
| 233 | size = None |
|---|
| 234 | size_unit = 'mm' |
|---|
| 235 | ## Aperture distance [float] |
|---|
| 236 | distance = None |
|---|
| 237 | distance_unit = 'mm' |
|---|
| 238 | |
|---|
| 239 | def __init__(self): |
|---|
| 240 | self.size = Vector() |
|---|
| 241 | |
|---|
| 242 | |
|---|
| 243 | class Collimation: |
|---|
| 244 | """ |
|---|
| 245 | Class to hold collimation information |
|---|
| 246 | """ |
|---|
| 247 | ## Name |
|---|
| 248 | name = None |
|---|
| 249 | ## Length [float] [mm] |
|---|
| 250 | length = None |
|---|
| 251 | length_unit = 'mm' |
|---|
| 252 | ## Aperture |
|---|
| 253 | aperture = None |
|---|
| 254 | |
|---|
| 255 | def __init__(self): |
|---|
| 256 | self.aperture = [] |
|---|
| 257 | |
|---|
| 258 | def __str__(self): |
|---|
| 259 | _str = "Collimation:\n" |
|---|
| 260 | _str += " Length: %s [%s]\n" % \ |
|---|
| 261 | (str(self.length), str(self.length_unit)) |
|---|
| 262 | for item in self.aperture: |
|---|
| 263 | _str += " Aperture size:%s [%s]\n" % \ |
|---|
| 264 | (str(item.size), str(item.size_unit)) |
|---|
| 265 | _str += " Aperture_dist:%s [%s]\n" % \ |
|---|
| 266 | (str(item.distance), str(item.distance_unit)) |
|---|
| 267 | return _str |
|---|
| 268 | |
|---|
| 269 | |
|---|
| 270 | class Source: |
|---|
| 271 | """ |
|---|
| 272 | Class to hold source information |
|---|
| 273 | """ |
|---|
| 274 | ## Name |
|---|
| 275 | name = None |
|---|
| 276 | ## Radiation type [string] |
|---|
| 277 | radiation = None |
|---|
| 278 | ## Beam size name |
|---|
| 279 | beam_size_name = None |
|---|
| 280 | ## Beam size [Vector] [mm] |
|---|
| 281 | beam_size = None |
|---|
| 282 | beam_size_unit = 'mm' |
|---|
| 283 | ## Beam shape [string] |
|---|
| 284 | beam_shape = None |
|---|
| 285 | ## Wavelength [float] [Angstrom] |
|---|
| 286 | wavelength = None |
|---|
| 287 | wavelength_unit = 'A' |
|---|
| 288 | ## Minimum wavelength [float] [Angstrom] |
|---|
| 289 | wavelength_min = None |
|---|
| 290 | wavelength_min_unit = 'nm' |
|---|
| 291 | ## Maximum wavelength [float] [Angstrom] |
|---|
| 292 | wavelength_max = None |
|---|
| 293 | wavelength_max_unit = 'nm' |
|---|
| 294 | ## Wavelength spread [float] [Angstrom] |
|---|
| 295 | wavelength_spread = None |
|---|
| 296 | wavelength_spread_unit = 'percent' |
|---|
| 297 | |
|---|
| 298 | def __init__(self): |
|---|
| 299 | self.beam_size = Vector() |
|---|
| 300 | |
|---|
| 301 | def __str__(self): |
|---|
| 302 | _str = "Source:\n" |
|---|
| 303 | _str += " Radiation: %s\n" % str(self.radiation) |
|---|
| 304 | _str += " Shape: %s\n" % str(self.beam_shape) |
|---|
| 305 | _str += " Wavelength: %s [%s]\n" % \ |
|---|
| 306 | (str(self.wavelength), str(self.wavelength_unit)) |
|---|
| 307 | _str += " Waveln_min: %s [%s]\n" % \ |
|---|
| 308 | (str(self.wavelength_min), str(self.wavelength_min_unit)) |
|---|
| 309 | _str += " Waveln_max: %s [%s]\n" % \ |
|---|
| 310 | (str(self.wavelength_max), str(self.wavelength_max_unit)) |
|---|
| 311 | _str += " Waveln_spread:%s [%s]\n" % \ |
|---|
| 312 | (str(self.wavelength_spread), str(self.wavelength_spread_unit)) |
|---|
| 313 | _str += " Beam_size: %s [%s]\n" % \ |
|---|
| 314 | (str(self.beam_size), str(self.beam_size_unit)) |
|---|
| 315 | return _str |
|---|
| 316 | |
|---|
| 317 | |
|---|
| 318 | """ |
|---|
| 319 | Definitions of radiation types |
|---|
| 320 | """ |
|---|
| 321 | NEUTRON = 'neutron' |
|---|
| 322 | XRAY = 'x-ray' |
|---|
| 323 | MUON = 'muon' |
|---|
| 324 | ELECTRON = 'electron' |
|---|
| 325 | |
|---|
| 326 | |
|---|
| 327 | class Sample: |
|---|
| 328 | """ |
|---|
| 329 | Class to hold the sample description |
|---|
| 330 | """ |
|---|
| 331 | ## Short name for sample |
|---|
| 332 | name = '' |
|---|
| 333 | ## ID |
|---|
| 334 | ID = '' |
|---|
| 335 | ## Thickness [float] [mm] |
|---|
| 336 | thickness = None |
|---|
| 337 | thickness_unit = 'mm' |
|---|
| 338 | ## Transmission [float] [fraction] |
|---|
| 339 | transmission = None |
|---|
| 340 | ## Temperature [float] [C] |
|---|
| 341 | temperature = None |
|---|
| 342 | temperature_unit = 'C' |
|---|
| 343 | ## Position [Vector] [mm] |
|---|
| 344 | position = None |
|---|
| 345 | position_unit = 'mm' |
|---|
| 346 | ## Orientation [Vector] [degrees] |
|---|
| 347 | orientation = None |
|---|
| 348 | orientation_unit = 'degree' |
|---|
| 349 | ## Details |
|---|
| 350 | details = None |
|---|
| 351 | |
|---|
| 352 | def __init__(self): |
|---|
| 353 | self.position = Vector() |
|---|
| 354 | self.orientation = Vector() |
|---|
| 355 | self.details = [] |
|---|
| 356 | |
|---|
| 357 | def __str__(self): |
|---|
| 358 | _str = "Sample:\n" |
|---|
| 359 | _str += " ID: %s\n" % str(self.ID) |
|---|
| 360 | _str += " Transmission: %s\n" % str(self.transmission) |
|---|
| 361 | _str += " Thickness: %s [%s]\n" % \ |
|---|
| 362 | (str(self.thickness), str(self.thickness_unit)) |
|---|
| 363 | _str += " Temperature: %s [%s]\n" % \ |
|---|
| 364 | (str(self.temperature), str(self.temperature_unit)) |
|---|
| 365 | _str += " Position: %s [%s]\n" % \ |
|---|
| 366 | (str(self.position), str(self.position_unit)) |
|---|
| 367 | _str += " Orientation: %s [%s]\n" % \ |
|---|
| 368 | (str(self.orientation), str(self.orientation_unit)) |
|---|
| 369 | |
|---|
| 370 | _str += " Details:\n" |
|---|
| 371 | for item in self.details: |
|---|
| 372 | _str += " %s\n" % item |
|---|
| 373 | |
|---|
| 374 | return _str |
|---|
| 375 | |
|---|
| 376 | |
|---|
| 377 | class Process: |
|---|
| 378 | """ |
|---|
| 379 | Class that holds information about the processes |
|---|
| 380 | performed on the data. |
|---|
| 381 | """ |
|---|
| 382 | name = '' |
|---|
| 383 | date = '' |
|---|
| 384 | description = '' |
|---|
| 385 | term = None |
|---|
| 386 | notes = None |
|---|
| 387 | |
|---|
| 388 | def __init__(self): |
|---|
| 389 | self.term = [] |
|---|
| 390 | self.notes = [] |
|---|
| 391 | |
|---|
| 392 | def __str__(self): |
|---|
| 393 | _str = "Process:\n" |
|---|
| 394 | _str += " Name: %s\n" % self.name |
|---|
| 395 | _str += " Date: %s\n" % self.date |
|---|
| 396 | _str += " Description: %s\n" % self.description |
|---|
| 397 | for item in self.term: |
|---|
| 398 | _str += " Term: %s\n" % item |
|---|
| 399 | for item in self.notes: |
|---|
| 400 | _str += " Note: %s\n" % item |
|---|
| 401 | return _str |
|---|
| 402 | |
|---|
| 403 | |
|---|
| 404 | class DataInfo: |
|---|
| 405 | """ |
|---|
| 406 | Class to hold the data read from a file. |
|---|
| 407 | It includes four blocks of data for the |
|---|
| 408 | instrument description, the sample description, |
|---|
| 409 | the data itself and any other meta data. |
|---|
| 410 | """ |
|---|
| 411 | ## Title |
|---|
| 412 | title = '' |
|---|
| 413 | ## Run number |
|---|
| 414 | run = None |
|---|
| 415 | ## Run name |
|---|
| 416 | run_name = None |
|---|
| 417 | ## File name |
|---|
| 418 | filename = '' |
|---|
| 419 | ## Notes |
|---|
| 420 | notes = None |
|---|
| 421 | ## Processes (Action on the data) |
|---|
| 422 | process = None |
|---|
| 423 | ## Instrument name |
|---|
| 424 | instrument = '' |
|---|
| 425 | ## Detector information |
|---|
| 426 | detector = None |
|---|
| 427 | ## Sample information |
|---|
| 428 | sample = None |
|---|
| 429 | ## Source information |
|---|
| 430 | source = None |
|---|
| 431 | ## Collimation information |
|---|
| 432 | collimation = None |
|---|
| 433 | ## Additional meta-data |
|---|
| 434 | meta_data = None |
|---|
| 435 | ## Loading errors |
|---|
| 436 | errors = None |
|---|
| 437 | |
|---|
| 438 | def __init__(self): |
|---|
| 439 | """ |
|---|
| 440 | Initialization |
|---|
| 441 | """ |
|---|
| 442 | ## Title |
|---|
| 443 | self.title = '' |
|---|
| 444 | ## Run number |
|---|
| 445 | self.run = [] |
|---|
| 446 | self.run_name = {} |
|---|
| 447 | ## File name |
|---|
| 448 | self.filename = '' |
|---|
| 449 | ## Notes |
|---|
| 450 | self.notes = [] |
|---|
| 451 | ## Processes (Action on the data) |
|---|
| 452 | self.process = [] |
|---|
| 453 | ## Instrument name |
|---|
| 454 | self.instrument = '' |
|---|
| 455 | ## Detector information |
|---|
| 456 | self.detector = [] |
|---|
| 457 | ## Sample information |
|---|
| 458 | self.sample = Sample() |
|---|
| 459 | ## Source information |
|---|
| 460 | self.source = Source() |
|---|
| 461 | ## Collimation information |
|---|
| 462 | self.collimation = [] |
|---|
| 463 | ## Additional meta-data |
|---|
| 464 | self.meta_data = {} |
|---|
| 465 | ## Loading errors |
|---|
| 466 | self.errors = [] |
|---|
| 467 | |
|---|
| 468 | def append_empty_process(self): |
|---|
| 469 | """ |
|---|
| 470 | """ |
|---|
| 471 | self.process.append(Process()) |
|---|
| 472 | |
|---|
| 473 | def add_notes(self, message=""): |
|---|
| 474 | """ |
|---|
| 475 | Add notes to datainfo |
|---|
| 476 | """ |
|---|
| 477 | self.notes.append(message) |
|---|
| 478 | |
|---|
| 479 | def __str__(self): |
|---|
| 480 | """ |
|---|
| 481 | Nice printout |
|---|
| 482 | """ |
|---|
| 483 | _str = "File: %s\n" % self.filename |
|---|
| 484 | _str += "Title: %s\n" % self.title |
|---|
| 485 | _str += "Run: %s\n" % str(self.run) |
|---|
| 486 | _str += "Instrument: %s\n" % str(self.instrument) |
|---|
| 487 | _str += "%s\n" % str(self.sample) |
|---|
| 488 | _str += "%s\n" % str(self.source) |
|---|
| 489 | for item in self.detector: |
|---|
| 490 | _str += "%s\n" % str(item) |
|---|
| 491 | for item in self.collimation: |
|---|
| 492 | _str += "%s\n" % str(item) |
|---|
| 493 | for item in self.process: |
|---|
| 494 | _str += "%s\n" % str(item) |
|---|
| 495 | for item in self.notes: |
|---|
| 496 | _str += "%s\n" % str(item) |
|---|
| 497 | |
|---|
| 498 | return _str |
|---|
| 499 | |
|---|
| 500 | # Private method to perform operation. Not implemented for DataInfo, |
|---|
| 501 | # but should be implemented for each data class inherited from DataInfo |
|---|
| 502 | # that holds actual data (ex.: Data1D) |
|---|
| 503 | def _perform_operation(self, other, operation): |
|---|
| 504 | """ |
|---|
| 505 | Private method to perform operation. Not implemented for DataInfo, |
|---|
| 506 | but should be implemented for each data class inherited from DataInfo |
|---|
| 507 | that holds actual data (ex.: Data1D) |
|---|
| 508 | """ |
|---|
| 509 | return NotImplemented |
|---|
| 510 | |
|---|
| 511 | def _perform_union(self, other): |
|---|
| 512 | """ |
|---|
| 513 | Private method to perform union operation. Not implemented for DataInfo, |
|---|
| 514 | but should be implemented for each data class inherited from DataInfo |
|---|
| 515 | that holds actual data (ex.: Data1D) |
|---|
| 516 | """ |
|---|
| 517 | return NotImplemented |
|---|
| 518 | |
|---|
| 519 | def __add__(self, other): |
|---|
| 520 | """ |
|---|
| 521 | Add two data sets |
|---|
| 522 | |
|---|
| 523 | :param other: data set to add to the current one |
|---|
| 524 | :return: new data set |
|---|
| 525 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 526 | """ |
|---|
| 527 | def operation(a, b): |
|---|
| 528 | return a + b |
|---|
| 529 | return self._perform_operation(other, operation) |
|---|
| 530 | |
|---|
| 531 | def __radd__(self, other): |
|---|
| 532 | """ |
|---|
| 533 | Add two data sets |
|---|
| 534 | |
|---|
| 535 | :param other: data set to add to the current one |
|---|
| 536 | |
|---|
| 537 | :return: new data set |
|---|
| 538 | |
|---|
| 539 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 540 | |
|---|
| 541 | """ |
|---|
| 542 | def operation(a, b): |
|---|
| 543 | return b + a |
|---|
| 544 | return self._perform_operation(other, operation) |
|---|
| 545 | |
|---|
| 546 | def __sub__(self, other): |
|---|
| 547 | """ |
|---|
| 548 | Subtract two data sets |
|---|
| 549 | |
|---|
| 550 | :param other: data set to subtract from the current one |
|---|
| 551 | |
|---|
| 552 | :return: new data set |
|---|
| 553 | |
|---|
| 554 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 555 | |
|---|
| 556 | """ |
|---|
| 557 | def operation(a, b): |
|---|
| 558 | return a - b |
|---|
| 559 | return self._perform_operation(other, operation) |
|---|
| 560 | |
|---|
| 561 | def __rsub__(self, other): |
|---|
| 562 | """ |
|---|
| 563 | Subtract two data sets |
|---|
| 564 | |
|---|
| 565 | :param other: data set to subtract from the current one |
|---|
| 566 | |
|---|
| 567 | :return: new data set |
|---|
| 568 | |
|---|
| 569 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 570 | |
|---|
| 571 | """ |
|---|
| 572 | def operation(a, b): |
|---|
| 573 | return b - a |
|---|
| 574 | return self._perform_operation(other, operation) |
|---|
| 575 | |
|---|
| 576 | def __mul__(self, other): |
|---|
| 577 | """ |
|---|
| 578 | Multiply two data sets |
|---|
| 579 | |
|---|
| 580 | :param other: data set to subtract from the current one |
|---|
| 581 | |
|---|
| 582 | :return: new data set |
|---|
| 583 | |
|---|
| 584 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 585 | |
|---|
| 586 | """ |
|---|
| 587 | def operation(a, b): |
|---|
| 588 | return a * b |
|---|
| 589 | return self._perform_operation(other, operation) |
|---|
| 590 | |
|---|
| 591 | def __rmul__(self, other): |
|---|
| 592 | """ |
|---|
| 593 | Multiply two data sets |
|---|
| 594 | |
|---|
| 595 | :param other: data set to subtract from the current one |
|---|
| 596 | |
|---|
| 597 | :return: new data set |
|---|
| 598 | |
|---|
| 599 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 600 | """ |
|---|
| 601 | def operation(a, b): |
|---|
| 602 | return b * a |
|---|
| 603 | return self._perform_operation(other, operation) |
|---|
| 604 | |
|---|
| 605 | def __div__(self, other): |
|---|
| 606 | """ |
|---|
| 607 | Divided a data set by another |
|---|
| 608 | |
|---|
| 609 | :param other: data set that the current one is divided by |
|---|
| 610 | |
|---|
| 611 | :return: new data set |
|---|
| 612 | |
|---|
| 613 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 614 | |
|---|
| 615 | """ |
|---|
| 616 | def operation(a, b): |
|---|
| 617 | return a/b |
|---|
| 618 | return self._perform_operation(other, operation) |
|---|
| 619 | |
|---|
| 620 | def __rdiv__(self, other): |
|---|
| 621 | """ |
|---|
| 622 | Divided a data set by another |
|---|
| 623 | |
|---|
| 624 | :param other: data set that the current one is divided by |
|---|
| 625 | |
|---|
| 626 | :return: new data set |
|---|
| 627 | |
|---|
| 628 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 629 | |
|---|
| 630 | """ |
|---|
| 631 | def operation(a, b): |
|---|
| 632 | return b/a |
|---|
| 633 | return self._perform_operation(other, operation) |
|---|
| 634 | |
|---|
| 635 | |
|---|
| 636 | def __or__(self, other): |
|---|
| 637 | """ |
|---|
| 638 | Union a data set with another |
|---|
| 639 | |
|---|
| 640 | :param other: data set to be unified |
|---|
| 641 | |
|---|
| 642 | :return: new data set |
|---|
| 643 | |
|---|
| 644 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 645 | |
|---|
| 646 | """ |
|---|
| 647 | return self._perform_union(other) |
|---|
| 648 | |
|---|
| 649 | def __ror__(self, other): |
|---|
| 650 | """ |
|---|
| 651 | Union a data set with another |
|---|
| 652 | |
|---|
| 653 | :param other: data set to be unified |
|---|
| 654 | |
|---|
| 655 | :return: new data set |
|---|
| 656 | |
|---|
| 657 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 658 | |
|---|
| 659 | """ |
|---|
| 660 | return self._perform_union(other) |
|---|
| 661 | |
|---|
| 662 | class Data1D(plottable_1D, DataInfo): |
|---|
| 663 | """ |
|---|
| 664 | 1D data class |
|---|
| 665 | """ |
|---|
| 666 | x_unit = '1/A' |
|---|
| 667 | y_unit = '1/cm' |
|---|
| 668 | |
|---|
| 669 | def __init__(self, x, y, dx=None, dy=None): |
|---|
| 670 | DataInfo.__init__(self) |
|---|
| 671 | plottable_1D.__init__(self, x, y, dx, dy) |
|---|
| 672 | |
|---|
| 673 | def __str__(self): |
|---|
| 674 | """ |
|---|
| 675 | Nice printout |
|---|
| 676 | """ |
|---|
| 677 | _str = "%s\n" % DataInfo.__str__(self) |
|---|
| 678 | |
|---|
| 679 | _str += "Data:\n" |
|---|
| 680 | _str += " Type: %s\n" % self.__class__.__name__ |
|---|
| 681 | _str += " X-axis: %s\t[%s]\n" % (self._xaxis, self._xunit) |
|---|
| 682 | _str += " Y-axis: %s\t[%s]\n" % (self._yaxis, self._yunit) |
|---|
| 683 | _str += " Length: %g\n" % len(self.x) |
|---|
| 684 | |
|---|
| 685 | return _str |
|---|
| 686 | |
|---|
| 687 | def is_slit_smeared(self): |
|---|
| 688 | """ |
|---|
| 689 | Check whether the data has slit smearing information |
|---|
| 690 | |
|---|
| 691 | :return: True is slit smearing info is present, False otherwise |
|---|
| 692 | |
|---|
| 693 | """ |
|---|
| 694 | def _check(v): |
|---|
| 695 | if (v.__class__ == list or v.__class__ == numpy.ndarray) \ |
|---|
| 696 | and len(v) > 0 and min(v) > 0: |
|---|
| 697 | return True |
|---|
| 698 | |
|---|
| 699 | return False |
|---|
| 700 | |
|---|
| 701 | return _check(self.dxl) or _check(self.dxw) |
|---|
| 702 | |
|---|
| 703 | def clone_without_data(self, length=0, clone=None): |
|---|
| 704 | """ |
|---|
| 705 | Clone the current object, without copying the data (which |
|---|
| 706 | will be filled out by a subsequent operation). |
|---|
| 707 | The data arrays will be initialized to zero. |
|---|
| 708 | |
|---|
| 709 | :param length: length of the data array to be initialized |
|---|
| 710 | :param clone: if provided, the data will be copied to clone |
|---|
| 711 | """ |
|---|
| 712 | from copy import deepcopy |
|---|
| 713 | |
|---|
| 714 | if clone is None or not issubclass(clone.__class__, Data1D): |
|---|
| 715 | x = numpy.zeros(length) |
|---|
| 716 | dx = numpy.zeros(length) |
|---|
| 717 | y = numpy.zeros(length) |
|---|
| 718 | dy = numpy.zeros(length) |
|---|
| 719 | clone = Data1D(x, y, dx=dx, dy=dy) |
|---|
| 720 | |
|---|
| 721 | clone.title = self.title |
|---|
| 722 | clone.run = self.run |
|---|
| 723 | clone.filename = self.filename |
|---|
| 724 | clone.instrument = self.instrument |
|---|
| 725 | clone.notes = deepcopy(self.notes) |
|---|
| 726 | clone.process = deepcopy(self.process) |
|---|
| 727 | clone.detector = deepcopy(self.detector) |
|---|
| 728 | clone.sample = deepcopy(self.sample) |
|---|
| 729 | clone.source = deepcopy(self.source) |
|---|
| 730 | clone.collimation = deepcopy(self.collimation) |
|---|
| 731 | clone.meta_data = deepcopy(self.meta_data) |
|---|
| 732 | clone.errors = deepcopy(self.errors) |
|---|
| 733 | |
|---|
| 734 | return clone |
|---|
| 735 | |
|---|
| 736 | def _validity_check(self, other): |
|---|
| 737 | """ |
|---|
| 738 | Checks that the data lengths are compatible. |
|---|
| 739 | Checks that the x vectors are compatible. |
|---|
| 740 | Returns errors vectors equal to original |
|---|
| 741 | errors vectors if they were present or vectors |
|---|
| 742 | of zeros when none was found. |
|---|
| 743 | |
|---|
| 744 | :param other: other data set for operation |
|---|
| 745 | |
|---|
| 746 | :return: dy for self, dy for other [numpy arrays] |
|---|
| 747 | |
|---|
| 748 | :raise ValueError: when lengths are not compatible |
|---|
| 749 | |
|---|
| 750 | """ |
|---|
| 751 | dy_other = None |
|---|
| 752 | if isinstance(other, Data1D): |
|---|
| 753 | # Check that data lengths are the same |
|---|
| 754 | if len(self.x) != len(other.x) or \ |
|---|
| 755 | len(self.y) != len(other.y): |
|---|
| 756 | msg = "Unable to perform operation: data length are not equal" |
|---|
| 757 | raise ValueError, msg |
|---|
| 758 | |
|---|
| 759 | # Here we could also extrapolate between data points |
|---|
| 760 | for i in range(len(self.x)): |
|---|
| 761 | if self.x[i] != other.x[i]: |
|---|
| 762 | msg = "Incompatible data sets: x-values do not match" |
|---|
| 763 | raise ValueError, msg |
|---|
| 764 | """ |
|---|
| 765 | if self.dxl != None and other.dxl == None: |
|---|
| 766 | msg = "Incompatible data sets: dxl-values do not match" |
|---|
| 767 | raise ValueError, msg |
|---|
| 768 | if self.dxl == None and other.dxl != None: |
|---|
| 769 | msg = "Incompatible data sets: dxl-values do not match" |
|---|
| 770 | raise ValueError, msg |
|---|
| 771 | if self.dxw != None and other.dxw == None: |
|---|
| 772 | msg = "Incompatible data sets: dxw-values do not match" |
|---|
| 773 | raise ValueError, msg |
|---|
| 774 | if self.dxw == None and other.dxw != None: |
|---|
| 775 | msg = "Incompatible data sets: dxw-values do not match" |
|---|
| 776 | raise ValueError, msg |
|---|
| 777 | """ |
|---|
| 778 | # Check that the other data set has errors, otherwise |
|---|
| 779 | # create zero vector |
|---|
| 780 | dy_other = other.dy |
|---|
| 781 | if other.dy == None or (len(other.dy) != len(other.y)): |
|---|
| 782 | dy_other = numpy.zeros(len(other.y)) |
|---|
| 783 | |
|---|
| 784 | # Check that we have errors, otherwise create zero vector |
|---|
| 785 | dy = self.dy |
|---|
| 786 | if self.dy == None or (len(self.dy) != len(self.y)): |
|---|
| 787 | dy = numpy.zeros(len(self.y)) |
|---|
| 788 | |
|---|
| 789 | return dy, dy_other |
|---|
| 790 | |
|---|
| 791 | def _perform_operation(self, other, operation): |
|---|
| 792 | """ |
|---|
| 793 | """ |
|---|
| 794 | # First, check the data compatibility |
|---|
| 795 | dy, dy_other = self._validity_check(other) |
|---|
| 796 | result = self.clone_without_data(len(self.x)) |
|---|
| 797 | if self.dxw == None: |
|---|
| 798 | result.dxw = None |
|---|
| 799 | else: |
|---|
| 800 | result.dxw = numpy.zeros(len(self.x)) |
|---|
| 801 | if self.dxl == None: |
|---|
| 802 | result.dxl = None |
|---|
| 803 | else: |
|---|
| 804 | result.dxl = numpy.zeros(len(self.x)) |
|---|
| 805 | |
|---|
| 806 | for i in range(len(self.x)): |
|---|
| 807 | result.x[i] = self.x[i] |
|---|
| 808 | if self.dx is not None and len(self.x) == len(self.dx): |
|---|
| 809 | result.dx[i] = self.dx[i] |
|---|
| 810 | if self.dxw is not None and len(self.x) == len(self.dxw): |
|---|
| 811 | result.dxw[i] = self.dxw[i] |
|---|
| 812 | if self.dxl is not None and len(self.x) == len(self.dxl): |
|---|
| 813 | result.dxl[i] = self.dxl[i] |
|---|
| 814 | |
|---|
| 815 | a = Uncertainty(self.y[i], dy[i]**2) |
|---|
| 816 | if isinstance(other, Data1D): |
|---|
| 817 | b = Uncertainty(other.y[i], dy_other[i]**2) |
|---|
| 818 | if other.dx is not None: |
|---|
| 819 | result.dx[i] *= self.dx[i] |
|---|
| 820 | result.dx[i] += (other.dx[i]**2) |
|---|
| 821 | result.dx[i] /= 2 |
|---|
| 822 | result.dx[i] = math.sqrt(result.dx[i]) |
|---|
| 823 | if result.dxl is not None and other.dxl is not None: |
|---|
| 824 | result.dxl[i] *= self.dxl[i] |
|---|
| 825 | result.dxl[i] += (other.dxl[i]**2) |
|---|
| 826 | result.dxl[i] /= 2 |
|---|
| 827 | result.dxl[i] = math.sqrt(result.dxl[i]) |
|---|
| 828 | else: |
|---|
| 829 | b = other |
|---|
| 830 | |
|---|
| 831 | output = operation(a, b) |
|---|
| 832 | result.y[i] = output.x |
|---|
| 833 | result.dy[i] = math.sqrt(math.fabs(output.variance)) |
|---|
| 834 | return result |
|---|
| 835 | |
|---|
| 836 | def _validity_check_union(self, other): |
|---|
| 837 | """ |
|---|
| 838 | Checks that the data lengths are compatible. |
|---|
| 839 | Checks that the x vectors are compatible. |
|---|
| 840 | Returns errors vectors equal to original |
|---|
| 841 | errors vectors if they were present or vectors |
|---|
| 842 | of zeros when none was found. |
|---|
| 843 | |
|---|
| 844 | :param other: other data set for operation |
|---|
| 845 | |
|---|
| 846 | :return: bool |
|---|
| 847 | |
|---|
| 848 | :raise ValueError: when data types are not compatible |
|---|
| 849 | |
|---|
| 850 | """ |
|---|
| 851 | if not isinstance(other, Data1D): |
|---|
| 852 | msg = "Unable to perform operation: different types of data set" |
|---|
| 853 | raise ValueError, msg |
|---|
| 854 | return True |
|---|
| 855 | |
|---|
| 856 | def _perform_union(self, other): |
|---|
| 857 | """ |
|---|
| 858 | """ |
|---|
| 859 | # First, check the data compatibility |
|---|
| 860 | self._validity_check_union(other) |
|---|
| 861 | result = self.clone_without_data(len(self.x) + len(other.x)) |
|---|
| 862 | if self.dy == None or other.dy is None: |
|---|
| 863 | result.dy = None |
|---|
| 864 | else: |
|---|
| 865 | result.dy = numpy.zeros(len(self.x) + len(other.x)) |
|---|
| 866 | if self.dx == None or other.dx is None: |
|---|
| 867 | result.dx = None |
|---|
| 868 | else: |
|---|
| 869 | result.dx = numpy.zeros(len(self.x) + len(other.x)) |
|---|
| 870 | if self.dxw == None or other.dxw is None: |
|---|
| 871 | result.dxw = None |
|---|
| 872 | else: |
|---|
| 873 | result.dxw = numpy.zeros(len(self.x) + len(other.x)) |
|---|
| 874 | if self.dxl == None or other.dxl is None: |
|---|
| 875 | result.dxl = None |
|---|
| 876 | else: |
|---|
| 877 | result.dxl = numpy.zeros(len(self.x) + len(other.x)) |
|---|
| 878 | |
|---|
| 879 | result.x = numpy.append(self.x, other.x) |
|---|
| 880 | #argsorting |
|---|
| 881 | ind = numpy.argsort(result.x) |
|---|
| 882 | result.x = result.x[ind] |
|---|
| 883 | result.y = numpy.append(self.y, other.y) |
|---|
| 884 | result.y = result.y[ind] |
|---|
| 885 | if result.dy != None: |
|---|
| 886 | result.dy = numpy.append(self.dy, other.dy) |
|---|
| 887 | result.dy = result.dy[ind] |
|---|
| 888 | if result.dx is not None: |
|---|
| 889 | result.dx = numpy.append(self.dx, other.dx) |
|---|
| 890 | result.dx = result.dx[ind] |
|---|
| 891 | if result.dxw is not None: |
|---|
| 892 | result.dxw = numpy.append(self.dxw, other.dxw) |
|---|
| 893 | result.dxw = result.dxw[ind] |
|---|
| 894 | if result.dxl is not None: |
|---|
| 895 | result.dxl = numpy.append(self.dxl, other.dxl) |
|---|
| 896 | result.dxl = result.dxl[ind] |
|---|
| 897 | return result |
|---|
| 898 | |
|---|
| 899 | |
|---|
| 900 | class Data2D(plottable_2D, DataInfo): |
|---|
| 901 | """ |
|---|
| 902 | 2D data class |
|---|
| 903 | """ |
|---|
| 904 | ## Units for Q-values |
|---|
| 905 | Q_unit = '1/A' |
|---|
| 906 | |
|---|
| 907 | ## Units for I(Q) values |
|---|
| 908 | I_unit = '1/cm' |
|---|
| 909 | |
|---|
| 910 | ## Vector of Q-values at the center of each bin in x |
|---|
| 911 | x_bins = None |
|---|
| 912 | |
|---|
| 913 | ## Vector of Q-values at the center of each bin in y |
|---|
| 914 | y_bins = None |
|---|
| 915 | |
|---|
| 916 | def __init__(self, data=None, err_data=None, qx_data=None, |
|---|
| 917 | qy_data=None, q_data=None, mask=None, |
|---|
| 918 | dqx_data=None, dqy_data=None): |
|---|
| 919 | self.y_bins = [] |
|---|
| 920 | self.x_bins = [] |
|---|
| 921 | DataInfo.__init__(self) |
|---|
| 922 | plottable_2D.__init__(self, data, err_data, qx_data, |
|---|
| 923 | qy_data, q_data, mask, dqx_data, dqy_data) |
|---|
| 924 | if len(self.detector) > 0: |
|---|
| 925 | raise RuntimeError, "Data2D: Detector bank already filled at init" |
|---|
| 926 | |
|---|
| 927 | def __str__(self): |
|---|
| 928 | _str = "%s\n" % DataInfo.__str__(self) |
|---|
| 929 | |
|---|
| 930 | _str += "Data:\n" |
|---|
| 931 | _str += " Type: %s\n" % self.__class__.__name__ |
|---|
| 932 | _str += " X- & Y-axis: %s\t[%s]\n" % (self._yaxis, self._yunit) |
|---|
| 933 | _str += " Z-axis: %s\t[%s]\n" % (self._zaxis, self._zunit) |
|---|
| 934 | #leny = 0 |
|---|
| 935 | #if len(self.data) > 0: |
|---|
| 936 | # leny = len(self.data) |
|---|
| 937 | _str += " Length: %g \n" % (len(self.data)) |
|---|
| 938 | |
|---|
| 939 | return _str |
|---|
| 940 | |
|---|
| 941 | def clone_without_data(self, length=0, clone=None): |
|---|
| 942 | """ |
|---|
| 943 | Clone the current object, without copying the data (which |
|---|
| 944 | will be filled out by a subsequent operation). |
|---|
| 945 | The data arrays will be initialized to zero. |
|---|
| 946 | |
|---|
| 947 | :param length: length of the data array to be initialized |
|---|
| 948 | :param clone: if provided, the data will be copied to clone |
|---|
| 949 | """ |
|---|
| 950 | from copy import deepcopy |
|---|
| 951 | |
|---|
| 952 | if clone is None or not issubclass(clone.__class__, Data2D): |
|---|
| 953 | data = numpy.zeros(length) |
|---|
| 954 | err_data = numpy.zeros(length) |
|---|
| 955 | qx_data = numpy.zeros(length) |
|---|
| 956 | qy_data = numpy.zeros(length) |
|---|
| 957 | q_data = numpy.zeros(length) |
|---|
| 958 | mask = numpy.zeros(length) |
|---|
| 959 | dqx_data = None |
|---|
| 960 | dqy_data = None |
|---|
| 961 | clone = Data2D(data=data, err_data=err_data, |
|---|
| 962 | qx_data=qx_data, qy_data=qy_data, |
|---|
| 963 | q_data=q_data, mask=mask) |
|---|
| 964 | |
|---|
| 965 | clone.title = self.title |
|---|
| 966 | clone.run = self.run |
|---|
| 967 | clone.filename = self.filename |
|---|
| 968 | clone.instrument = self.instrument |
|---|
| 969 | clone.notes = deepcopy(self.notes) |
|---|
| 970 | clone.process = deepcopy(self.process) |
|---|
| 971 | clone.detector = deepcopy(self.detector) |
|---|
| 972 | clone.sample = deepcopy(self.sample) |
|---|
| 973 | clone.source = deepcopy(self.source) |
|---|
| 974 | clone.collimation = deepcopy(self.collimation) |
|---|
| 975 | clone.meta_data = deepcopy(self.meta_data) |
|---|
| 976 | clone.errors = deepcopy(self.errors) |
|---|
| 977 | |
|---|
| 978 | return clone |
|---|
| 979 | |
|---|
| 980 | def _validity_check(self, other): |
|---|
| 981 | """ |
|---|
| 982 | Checks that the data lengths are compatible. |
|---|
| 983 | Checks that the x vectors are compatible. |
|---|
| 984 | Returns errors vectors equal to original |
|---|
| 985 | errors vectors if they were present or vectors |
|---|
| 986 | of zeros when none was found. |
|---|
| 987 | |
|---|
| 988 | :param other: other data set for operation |
|---|
| 989 | |
|---|
| 990 | :return: dy for self, dy for other [numpy arrays] |
|---|
| 991 | |
|---|
| 992 | :raise ValueError: when lengths are not compatible |
|---|
| 993 | |
|---|
| 994 | """ |
|---|
| 995 | err_other = None |
|---|
| 996 | if isinstance(other, Data2D): |
|---|
| 997 | # Check that data lengths are the same |
|---|
| 998 | if len(self.data) != len(other.data) or \ |
|---|
| 999 | len(self.qx_data) != len(other.qx_data) or \ |
|---|
| 1000 | len(self.qy_data) != len(other.qy_data): |
|---|
| 1001 | msg = "Unable to perform operation: data length are not equal" |
|---|
| 1002 | raise ValueError, msg |
|---|
| 1003 | #if len(self.data) < 1: |
|---|
| 1004 | # msg = "Incompatible data sets: I-values do not match" |
|---|
| 1005 | # raise ValueError, msg |
|---|
| 1006 | for ind in range(len(self.data)): |
|---|
| 1007 | if self.qx_data[ind] != other.qx_data[ind]: |
|---|
| 1008 | msg = "Incompatible data sets: qx-values do not match" |
|---|
| 1009 | raise ValueError, msg |
|---|
| 1010 | if self.qy_data[ind] != other.qy_data[ind]: |
|---|
| 1011 | msg = "Incompatible data sets: qy-values do not match" |
|---|
| 1012 | raise ValueError, msg |
|---|
| 1013 | |
|---|
| 1014 | # Check that the scales match |
|---|
| 1015 | err_other = other.err_data |
|---|
| 1016 | if other.err_data == None or \ |
|---|
| 1017 | (len(other.err_data) != len(other.data)): |
|---|
| 1018 | err_other = numpy.zeros(len(other.data)) |
|---|
| 1019 | |
|---|
| 1020 | # Check that we have errors, otherwise create zero vector |
|---|
| 1021 | err = self.err_data |
|---|
| 1022 | if self.err_data == None or \ |
|---|
| 1023 | (len(self.err_data) != len(self.data)): |
|---|
| 1024 | err = numpy.zeros(len(other.data)) |
|---|
| 1025 | |
|---|
| 1026 | return err, err_other |
|---|
| 1027 | |
|---|
| 1028 | def _perform_operation(self, other, operation): |
|---|
| 1029 | """ |
|---|
| 1030 | Perform 2D operations between data sets |
|---|
| 1031 | |
|---|
| 1032 | :param other: other data set |
|---|
| 1033 | :param operation: function defining the operation |
|---|
| 1034 | |
|---|
| 1035 | """ |
|---|
| 1036 | # First, check the data compatibility |
|---|
| 1037 | dy, dy_other = self._validity_check(other) |
|---|
| 1038 | result = self.clone_without_data(numpy.size(self.data)) |
|---|
| 1039 | if self.dqx_data == None or self.dqy_data == None: |
|---|
| 1040 | result.dqx_data = None |
|---|
| 1041 | result.dqy_data = None |
|---|
| 1042 | else: |
|---|
| 1043 | result.dqx_data = numpy.zeros(len(self.data)) |
|---|
| 1044 | result.dqy_data = numpy.zeros(len(self.data)) |
|---|
| 1045 | for i in range(numpy.size(self.data)): |
|---|
| 1046 | result.data[i] = self.data[i] |
|---|
| 1047 | if self.err_data is not None and \ |
|---|
| 1048 | numpy.size(self.data) == numpy.size(self.err_data): |
|---|
| 1049 | result.err_data[i] = self.err_data[i] |
|---|
| 1050 | if self.dqx_data is not None: |
|---|
| 1051 | result.dqx_data[i] = self.dqx_data[i] |
|---|
| 1052 | if self.dqy_data is not None: |
|---|
| 1053 | result.dqy_data[i] = self.dqy_data[i] |
|---|
| 1054 | result.qx_data[i] = self.qx_data[i] |
|---|
| 1055 | result.qy_data[i] = self.qy_data[i] |
|---|
| 1056 | result.q_data[i] = self.q_data[i] |
|---|
| 1057 | result.mask[i] = self.mask[i] |
|---|
| 1058 | |
|---|
| 1059 | a = Uncertainty(self.data[i], dy[i]**2) |
|---|
| 1060 | if isinstance(other, Data2D): |
|---|
| 1061 | b = Uncertainty(other.data[i], dy_other[i]**2) |
|---|
| 1062 | if other.dqx_data is not None and \ |
|---|
| 1063 | result.dqx_data is not None: |
|---|
| 1064 | result.dqx_data[i] *= self.dqx_data[i] |
|---|
| 1065 | result.dqx_data[i] += (other.dqx_data[i]**2) |
|---|
| 1066 | result.dqx_data[i] /= 2 |
|---|
| 1067 | result.dqx_data[i] = math.sqrt(result.dqx_data[i]) |
|---|
| 1068 | if other.dqy_data is not None and \ |
|---|
| 1069 | result.dqy_data is not None: |
|---|
| 1070 | result.dqy_data[i] *= self.dqy_data[i] |
|---|
| 1071 | result.dqy_data[i] += (other.dqy_data[i]**2) |
|---|
| 1072 | result.dqy_data[i] /= 2 |
|---|
| 1073 | result.dqy_data[i] = math.sqrt(result.dqy_data[i]) |
|---|
| 1074 | else: |
|---|
| 1075 | b = other |
|---|
| 1076 | |
|---|
| 1077 | output = operation(a, b) |
|---|
| 1078 | result.data[i] = output.x |
|---|
| 1079 | result.err_data[i] = math.sqrt(math.fabs(output.variance)) |
|---|
| 1080 | return result |
|---|
| 1081 | |
|---|
| 1082 | def _validity_check_union(self, other): |
|---|
| 1083 | """ |
|---|
| 1084 | Checks that the data lengths are compatible. |
|---|
| 1085 | Checks that the x vectors are compatible. |
|---|
| 1086 | Returns errors vectors equal to original |
|---|
| 1087 | errors vectors if they were present or vectors |
|---|
| 1088 | of zeros when none was found. |
|---|
| 1089 | |
|---|
| 1090 | :param other: other data set for operation |
|---|
| 1091 | |
|---|
| 1092 | :return: bool |
|---|
| 1093 | |
|---|
| 1094 | :raise ValueError: when data types are not compatible |
|---|
| 1095 | |
|---|
| 1096 | """ |
|---|
| 1097 | if not isinstance(other, Data2D): |
|---|
| 1098 | msg = "Unable to perform operation: different types of data set" |
|---|
| 1099 | raise ValueError, msg |
|---|
| 1100 | return True |
|---|
| 1101 | |
|---|
| 1102 | def _perform_union(self, other): |
|---|
| 1103 | """ |
|---|
| 1104 | Perform 2D operations between data sets |
|---|
| 1105 | |
|---|
| 1106 | :param other: other data set |
|---|
| 1107 | :param operation: function defining the operation |
|---|
| 1108 | |
|---|
| 1109 | """ |
|---|
| 1110 | # First, check the data compatibility |
|---|
| 1111 | self._validity_check_union(other) |
|---|
| 1112 | result = self.clone_without_data(numpy.size(self.data) + \ |
|---|
| 1113 | numpy.size(other.data)) |
|---|
| 1114 | result.xmin = self.xmin |
|---|
| 1115 | result.xmax = self.xmax |
|---|
| 1116 | result.ymin = self.ymin |
|---|
| 1117 | result.ymax = self.ymax |
|---|
| 1118 | if self.dqx_data == None or self.dqy_data == None or \ |
|---|
| 1119 | other.dqx_data == None or other.dqy_data == None : |
|---|
| 1120 | result.dqx_data = None |
|---|
| 1121 | result.dqy_data = None |
|---|
| 1122 | else: |
|---|
| 1123 | result.dqx_data = numpy.zeros(len(self.data) + \ |
|---|
| 1124 | numpy.size(other.data)) |
|---|
| 1125 | result.dqy_data = numpy.zeros(len(self.data) + \ |
|---|
| 1126 | numpy.size(other.data)) |
|---|
| 1127 | |
|---|
| 1128 | result.data = numpy.append(self.data, other.data) |
|---|
| 1129 | result.qx_data = numpy.append(self.qx_data, other.qx_data) |
|---|
| 1130 | result.qy_data = numpy.append(self.qy_data, other.qy_data) |
|---|
| 1131 | result.q_data = numpy.append(self.q_data, other.q_data) |
|---|
| 1132 | result.mask = numpy.append(self.mask, other.mask) |
|---|
| 1133 | if result.err_data is not None: |
|---|
| 1134 | result.err_data = numpy.append(self.err_data, other.err_data) |
|---|
| 1135 | if self.dqx_data is not None: |
|---|
| 1136 | result.dqx_data = numpy.append(self.dqx_data, other.dqx_data) |
|---|
| 1137 | if self.dqy_data is not None: |
|---|
| 1138 | result.dqy_data = numpy.append(self.dqy_data, other.dqy_data) |
|---|
| 1139 | |
|---|
| 1140 | return result |
|---|
