source: trunk/python/scantable.py@ 1194

Last change on this file since 1194 was 1192, checked in by mar637, 18 years ago

added lag_flag - flagging of frequencies in fft space

  • Property svn:eol-style set to native
  • Property svn:keywords set to Author Date Id Revision
File size: 61.8 KB
Line 
1from asap._asap import Scantable
2from asap import rcParams
3from asap import print_log
4from asap import asaplog
5from asap import selector
6from asap import NUM
7from asap import linecatalog
8
9class scantable(Scantable):
10 """
11 The ASAP container for scans
12 """
13
14 def __init__(self, filename, average=None, unit=None):
15 """
16 Create a scantable from a saved one or make a reference
17 Parameters:
18 filename: the name of an asap table on disk
19 or
20 the name of a rpfits/sdfits/ms file
21 (integrations within scans are auto averaged
22 and the whole file is read)
23 or
24 [advanced] a reference to an existing
25 scantable
26 average: average all integrations withinb a scan on read.
27 The default (True) is taken from .asaprc.
28 unit: brightness unit; must be consistent with K or Jy.
29 Over-rides the default selected by the reader
30 (input rpfits/sdfits/ms) or replaces the value
31 in existing scantables
32 """
33 if average is None:
34 average = rcParams['scantable.autoaverage']
35 #varlist = vars()
36 from asap._asap import stmath
37 self._math = stmath()
38 if isinstance(filename, Scantable):
39 Scantable.__init__(self, filename)
40 else:
41 if isinstance(filename, str):
42 import os.path
43 filename = os.path.expandvars(filename)
44 filename = os.path.expanduser(filename)
45 if not os.path.exists(filename):
46 s = "File '%s' not found." % (filename)
47 if rcParams['verbose']:
48 asaplog.push(s)
49 print asaplog.pop().strip()
50 return
51 raise IOError(s)
52 if os.path.isdir(filename) \
53 and not os.path.exists(filename+'/table.f1'):
54 # crude check if asap table
55 if os.path.exists(filename+'/table.info'):
56 ondisk = rcParams['scantable.storage'] == 'disk'
57 Scantable.__init__(self, filename, ondisk)
58 if unit is not None:
59 self.set_fluxunit(unit)
60 self.set_freqframe(rcParams['scantable.freqframe'])
61 else:
62 msg = "The given file '%s'is not a valid " \
63 "asap table." % (filename)
64 if rcParams['verbose']:
65 print msg
66 return
67 else:
68 raise IOError(msg)
69 else:
70 self._fill([filename], unit, average)
71 elif (isinstance(filename, list) or isinstance(filename, tuple)) \
72 and isinstance(filename[-1], str):
73 self._fill(filename, unit, average)
74 print_log()
75
76 def save(self, name=None, format=None, overwrite=False):
77 """
78 Store the scantable on disk. This can be an asap (aips++) Table, SDFITS,
79 Image FITS or MS2 format.
80 Parameters:
81 name: the name of the outputfile. For format "ASCII"
82 this is the root file name (data in 'name'.txt
83 and header in 'name'_header.txt)
84 format: an optional file format. Default is ASAP.
85 Allowed are - 'ASAP' (save as ASAP [aips++] Table),
86 'SDFITS' (save as SDFITS file)
87 'ASCII' (saves as ascii text file)
88 'MS2' (saves as an aips++
89 MeasurementSet V2)
90 overwrite: If the file should be overwritten if it exists.
91 The default False is to return with warning
92 without writing the output. USE WITH CARE.
93 Example:
94 scan.save('myscan.asap')
95 scan.save('myscan.sdfits', 'SDFITS')
96 """
97 from os import path
98 if format is None: format = rcParams['scantable.save']
99 suffix = '.'+format.lower()
100 if name is None or name == "":
101 name = 'scantable'+suffix
102 msg = "No filename given. Using default name %s..." % name
103 asaplog.push(msg)
104 name = path.expandvars(name)
105 if path.isfile(name) or path.isdir(name):
106 if not overwrite:
107 msg = "File %s exists." % name
108 if rcParams['verbose']:
109 print msg
110 return
111 else:
112 raise IOError(msg)
113 format2 = format.upper()
114 if format2 == 'ASAP':
115 self._save(name)
116 else:
117 from asap._asap import stwriter as stw
118 writer = stw(format2)
119 writer.write(self, name)
120 print_log()
121 return
122
123 def copy(self):
124 """
125 Return a copy of this scantable.
126 Parameters:
127 none
128 Example:
129 copiedscan = scan.copy()
130 """
131 sd = scantable(Scantable._copy(self))
132 return sd
133
134 def drop_scan(self, scanid=None):
135 """
136 Return a new scantable where the specified scan number(s) has(have)
137 been dropped.
138 Parameters:
139 scanid: a (list of) scan number(s)
140 """
141 from asap import _is_sequence_or_number as _is_valid
142 from asap import _to_list
143 from asap import unique
144 if not _is_valid(scanid):
145 if rcParams['verbose']:
146 print "Please specify a scanno to drop from the scantable"
147 return
148 else:
149 raise RuntimeError("No scan given")
150 try:
151 scanid = _to_list(scanid)
152 allscans = unique([ self.getscan(i) for i in range(self.nrow())])
153 for sid in scanid: allscans.remove(sid)
154 if len(allscans) == 0:
155 raise ValueError("Can't remove all scans")
156 except ValueError:
157 if rcParams['verbose']:
158 print "Couldn't find any match."
159 return
160 else: raise
161 try:
162 bsel = self.get_selection()
163 sel = selector()
164 sel.set_scans(allscans)
165 self.set_selection(bsel+sel)
166 scopy = self._copy()
167 self.set_selection(bsel)
168 return scantable(scopy)
169 except RuntimeError:
170 if rcParams['verbose']:
171 print "Couldn't find any match."
172 else:
173 raise
174
175
176 def get_scan(self, scanid=None):
177 """
178 Return a specific scan (by scanno) or collection of scans (by
179 source name) in a new scantable.
180 Parameters:
181 scanid: a (list of) scanno or a source name, unix-style
182 patterns are accepted for source name matching, e.g.
183 '*_R' gets all 'ref scans
184 Example:
185 # get all scans containing the source '323p459'
186 newscan = scan.get_scan('323p459')
187 # get all 'off' scans
188 refscans = scan.get_scan('*_R')
189 # get a susbset of scans by scanno (as listed in scan.summary())
190 newscan = scan.get_scan([0, 2, 7, 10])
191 """
192 if scanid is None:
193 if rcParams['verbose']:
194 print "Please specify a scan no or name to " \
195 "retrieve from the scantable"
196 return
197 else:
198 raise RuntimeError("No scan given")
199
200 try:
201 bsel = self.get_selection()
202 sel = selector()
203 if type(scanid) is str:
204 sel.set_name(scanid)
205 self.set_selection(bsel+sel)
206 scopy = self._copy()
207 self.set_selection(bsel)
208 return scantable(scopy)
209 elif type(scanid) is int:
210 sel.set_scans([scanid])
211 self.set_selection(bsel+sel)
212 scopy = self._copy()
213 self.set_selection(bsel)
214 return scantable(scopy)
215 elif type(scanid) is list:
216 sel.set_scans(scanid)
217 self.set_selection(sel)
218 scopy = self._copy()
219 self.set_selection(bsel)
220 return scantable(scopy)
221 else:
222 msg = "Illegal scanid type, use 'int' or 'list' if ints."
223 if rcParams['verbose']:
224 print msg
225 else:
226 raise TypeError(msg)
227 except RuntimeError:
228 if rcParams['verbose']: print "Couldn't find any match."
229 else: raise
230
231 def __str__(self):
232 return Scantable._summary(self, True)
233
234 def summary(self, filename=None):
235 """
236 Print a summary of the contents of this scantable.
237 Parameters:
238 filename: the name of a file to write the putput to
239 Default - no file output
240 verbose: print extra info such as the frequency table
241 The default (False) is taken from .asaprc
242 """
243 info = Scantable._summary(self, True)
244 #if verbose is None: verbose = rcParams['scantable.verbosesummary']
245 if filename is not None:
246 if filename is "":
247 filename = 'scantable_summary.txt'
248 from os.path import expandvars, isdir
249 filename = expandvars(filename)
250 if not isdir(filename):
251 data = open(filename, 'w')
252 data.write(info)
253 data.close()
254 else:
255 msg = "Illegal file name '%s'." % (filename)
256 if rcParams['verbose']:
257 print msg
258 else:
259 raise IOError(msg)
260 if rcParams['verbose']:
261 try:
262 from IPython.genutils import page as pager
263 except ImportError:
264 from pydoc import pager
265 pager(info)
266 else:
267 return info
268
269
270 def get_selection(self):
271 """
272 Get the selection object currently set on this scantable.
273 Parameters:
274 none
275 Example:
276 sel = scan.get_selection()
277 sel.set_ifs(0) # select IF 0
278 scan.set_selection(sel) # apply modified selection
279 """
280 return selector(self._getselection())
281
282 def set_selection(self, selection=selector()):
283 """
284 Select a subset of the data. All following operations on this scantable
285 are only applied to thi selection.
286 Parameters:
287 selection: a selector object (default unset the selection)
288 Examples:
289 sel = selector() # create a selection object
290 self.set_scans([0, 3]) # select SCANNO 0 and 3
291 scan.set_selection(sel) # set the selection
292 scan.summary() # will only print summary of scanno 0 an 3
293 scan.set_selection() # unset the selection
294 """
295 self._setselection(selection)
296
297 def stats(self, stat='stddev', mask=None):
298 """
299 Determine the specified statistic of the current beam/if/pol
300 Takes a 'mask' as an optional parameter to specify which
301 channels should be excluded.
302 Parameters:
303 stat: 'min', 'max', 'sumsq', 'sum', 'mean'
304 'var', 'stddev', 'avdev', 'rms', 'median'
305 mask: an optional mask specifying where the statistic
306 should be determined.
307 Example:
308 scan.set_unit('channel')
309 msk = scan.create_mask([100, 200], [500, 600])
310 scan.stats(stat='mean', mask=m)
311 """
312 if mask == None:
313 mask = []
314 axes = ['Beam', 'IF', 'Pol', 'Time']
315 if not self._check_ifs():
316 raise ValueError("Cannot apply mask as the IFs have different "
317 "number of channels. Please use setselection() "
318 "to select individual IFs")
319
320 statvals = self._math._stats(self, mask, stat)
321 out = ''
322 axes = []
323 for i in range(self.nrow()):
324 axis = []
325 axis.append(self.getscan(i))
326 axis.append(self.getbeam(i))
327 axis.append(self.getif(i))
328 axis.append(self.getpol(i))
329 axis.append(self.getcycle(i))
330 axes.append(axis)
331 tm = self._gettime(i)
332 src = self._getsourcename(i)
333 out += 'Scan[%d] (%s) ' % (axis[0], src)
334 out += 'Time[%s]:\n' % (tm)
335 if self.nbeam(-1) > 1: out += ' Beam[%d] ' % (axis[1])
336 if self.nif(-1) > 1: out += ' IF[%d] ' % (axis[2])
337 if self.npol(-1) > 1: out += ' Pol[%d] ' % (axis[3])
338 out += '= %3.3f\n' % (statvals[i])
339 out += "--------------------------------------------------\n"
340
341 if rcParams['verbose']:
342 print "--------------------------------------------------"
343 print " ", stat
344 print "--------------------------------------------------"
345 print out
346 retval = { 'axesnames': ['scanno', 'beamno', 'ifno', 'polno', 'cycleno'],
347 'axes' : axes,
348 'data': statvals}
349 return retval
350
351 def stddev(self, mask=None):
352 """
353 Determine the standard deviation of the current beam/if/pol
354 Takes a 'mask' as an optional parameter to specify which
355 channels should be excluded.
356 Parameters:
357 mask: an optional mask specifying where the standard
358 deviation should be determined.
359
360 Example:
361 scan.set_unit('channel')
362 msk = scan.create_mask([100, 200], [500, 600])
363 scan.stddev(mask=m)
364 """
365 return self.stats(stat='stddev', mask=mask);
366
367
368 def column_names(self):
369 """
370 Return a list of column names, which can be used for selection.
371 """
372 return list(Scantable.column_names(self))
373
374 def get_tsys(self):
375 """
376 Return the System temperatures.
377 Parameters:
378
379 Returns:
380 a list of Tsys values for the current selection
381 """
382
383 return self._row_callback(self._gettsys, "Tsys")
384
385 def _row_callback(self, callback, label):
386 axes = []
387 axesnames = ['scanno', 'beamno', 'ifno', 'polno', 'cycleno']
388 out = ""
389 outvec = []
390 for i in range(self.nrow()):
391 axis = []
392 axis.append(self.getscan(i))
393 axis.append(self.getbeam(i))
394 axis.append(self.getif(i))
395 axis.append(self.getpol(i))
396 axis.append(self.getcycle(i))
397 axes.append(axis)
398 tm = self._gettime(i)
399 src = self._getsourcename(i)
400 out += 'Scan[%d] (%s) ' % (axis[0], src)
401 out += 'Time[%s]:\n' % (tm)
402 if self.nbeam(-1) > 1: out += ' Beam[%d] ' % (axis[1])
403 if self.nif(-1) > 1: out += ' IF[%d] ' % (axis[2])
404 if self.npol(-1) > 1: out += ' Pol[%d] ' % (axis[3])
405 outvec.append(callback(i))
406 out += '= %3.3f\n' % (outvec[i])
407 out += "--------------------------------------------------\n"
408 if rcParams['verbose']:
409 print "--------------------------------------------------"
410 print " %s" % (label)
411 print "--------------------------------------------------"
412 print out
413 # disabled because the vector seems more useful
414 #retval = {'axesnames': axesnames, 'axes': axes, 'data': outvec}
415 return outvec
416
417 def _get_column(self, callback, row=-1):
418 """
419 """
420 if row == -1:
421 return [callback(i) for i in range(self.nrow())]
422 else:
423 if 0 <= row < self.nrow():
424 return callback(row)
425
426
427 def get_time(self, row=-1):
428 """
429 Get a list of time stamps for the observations.
430 Return a string for each integration in the scantable.
431 Parameters:
432 row: row no of integration. Default -1 return all rows
433 Example:
434 none
435 """
436 from time import strptime
437 from datetime import datetime
438 times = self._get_column(self._gettime, row)
439 format = "%Y/%m/%d/%H:%M:%S"
440 if isinstance(times, list):
441 return [datetime(*strptime(i, format)[:6]) for i in times]
442 else:
443 return datetime(*strptime(times, format)[:6])
444
445 def get_sourcename(self, row=-1):
446 """
447 Get a list source names for the observations.
448 Return a string for each integration in the scantable.
449 Parameters:
450 row: row no of integration. Default -1 return all rows
451 Example:
452 none
453 """
454 return self._get_column(self._getsourcename, row)
455
456 def get_elevation(self, row=-1):
457 """
458 Get a list of elevations for the observations.
459 Return a float for each integration in the scantable.
460 Parameters:
461 row: row no of integration. Default -1 return all rows
462 Example:
463 none
464 """
465 return self._get_column(self._getelevation, row)
466
467 def get_azimuth(self, row=-1):
468 """
469 Get a list of azimuths for the observations.
470 Return a float for each integration in the scantable.
471 Parameters:
472 row: row no of integration. Default -1 return all rows
473 Example:
474 none
475 """
476 return self._get_column(self._getazimuth, row)
477
478 def get_parangle(self, row=-1):
479 """
480 Get a list of parallactic angles for the observations.
481 Return a float for each integration in the scantable.
482 Parameters:
483 row: row no of integration. Default -1 return all rows
484 Example:
485 none
486 """
487 return self._get_column(self._getparangle, row)
488
489 def get_direction(self, row=-1):
490 """
491 Get a list of Positions on the sky (direction) for the observations.
492 Return a float for each integration in the scantable.
493 Parameters:
494 row: row no of integration. Default -1 return all rows
495 Example:
496 none
497 """
498 return self._get_column(self._getdirection, row)
499
500 def set_unit(self, unit='channel'):
501 """
502 Set the unit for all following operations on this scantable
503 Parameters:
504 unit: optional unit, default is 'channel'
505 one of '*Hz', 'km/s', 'channel', ''
506 """
507 varlist = vars()
508 if unit in ['', 'pixel', 'channel']:
509 unit = ''
510 inf = list(self._getcoordinfo())
511 inf[0] = unit
512 self._setcoordinfo(inf)
513 self._add_history("set_unit", varlist)
514
515 def set_instrument(self, instr):
516 """
517 Set the instrument for subsequent processing
518 Parameters:
519 instr: Select from 'ATPKSMB', 'ATPKSHOH', 'ATMOPRA',
520 'DSS-43' (Tid), 'CEDUNA', and 'HOBART'
521 """
522 self._setInstrument(instr)
523 self._add_history("set_instument", vars())
524 print_log()
525
526 def set_feedtype(self, feedtype):
527 """
528 Overwrite the feed type, which might not be set correctly.
529 Parameters:
530 feedtype: 'linear' or 'circular'
531 """
532 self._setfeedtype(feedtype)
533 self._add_history("set_feedtype", vars())
534 print_log()
535
536 def set_doppler(self, doppler='RADIO'):
537 """
538 Set the doppler for all following operations on this scantable.
539 Parameters:
540 doppler: One of 'RADIO', 'OPTICAL', 'Z', 'BETA', 'GAMMA'
541 """
542 varlist = vars()
543 inf = list(self._getcoordinfo())
544 inf[2] = doppler
545 self._setcoordinfo(inf)
546 self._add_history("set_doppler", vars())
547 print_log()
548
549 def set_freqframe(self, frame=None):
550 """
551 Set the frame type of the Spectral Axis.
552 Parameters:
553 frame: an optional frame type, default 'LSRK'. Valid frames are:
554 'REST', 'TOPO', 'LSRD', 'LSRK', 'BARY',
555 'GEO', 'GALACTO', 'LGROUP', 'CMB'
556 Examples:
557 scan.set_freqframe('BARY')
558 """
559 if frame is None: frame = rcParams['scantable.freqframe']
560 varlist = vars()
561 valid = ['REST', 'TOPO', 'LSRD', 'LSRK', 'BARY', \
562 'GEO', 'GALACTO', 'LGROUP', 'CMB']
563
564 if frame in valid:
565 inf = list(self._getcoordinfo())
566 inf[1] = frame
567 self._setcoordinfo(inf)
568 self._add_history("set_freqframe", varlist)
569 else:
570 msg = "Please specify a valid freq type. Valid types are:\n", valid
571 if rcParams['verbose']:
572 print msg
573 else:
574 raise TypeError(msg)
575 print_log()
576
577 def set_dirframe(self, frame=""):
578 """
579 Set the frame type of the Direction on the sky.
580 Parameters:
581 frame: an optional frame type, default ''. Valid frames are:
582 'J2000', 'B1950', 'GALACTIC'
583 Examples:
584 scan.set_dirframe('GALACTIC')
585 """
586 varlist = vars()
587 try:
588 Scantable.set_dirframe(self, frame)
589 except RuntimeError, msg:
590 if rcParams['verbose']:
591 print msg
592 else:
593 raise
594 self._add_history("set_dirframe", varlist)
595
596 def get_unit(self):
597 """
598 Get the default unit set in this scantable
599 Parameters:
600 Returns:
601 A unit string
602 """
603 inf = self._getcoordinfo()
604 unit = inf[0]
605 if unit == '': unit = 'channel'
606 return unit
607
608 def get_abcissa(self, rowno=0):
609 """
610 Get the abcissa in the current coordinate setup for the currently
611 selected Beam/IF/Pol
612 Parameters:
613 rowno: an optional row number in the scantable. Default is the
614 first row, i.e. rowno=0
615 Returns:
616 The abcissa values and it's format string (as a dictionary)
617 """
618 abc = self._getabcissa(rowno)
619 lbl = self._getabcissalabel(rowno)
620 print_log()
621 return abc, lbl
622
623 def flag(self, mask=None):
624 """
625 Flag the selected data using an optional channel mask.
626 Parameters:
627 mask: an optional channel mask, created with create_mask. Default
628 (no mask) is all channels.
629 """
630 varlist = vars()
631 if mask is None:
632 mask = []
633 try:
634 self._flag(mask)
635 except RuntimeError, msg:
636 if rcParams['verbose']:
637 print msg
638 return
639 else: raise
640 self._add_history("flag", varlist)
641
642 def lag_flag(self, frequency, unit="GHz", width=0, insitu=None):
643 """
644 Flag the data in 'lag' space by providing a frequency to remove.
645 Flagged data in the scantable gets set to 0.0 before the fft.
646 No taper is applied.
647 Parameters:
648 frequency: the frequency to remove
649 unit: the frequency unit ()default "GHz")
650 width: the number of 'lag' channels to extent the frequency
651 by, i.e. the interval
652 [bandwidth/frequency-width, bandwidth/frequency+width]
653 """
654 if insitu is None: insitu = rcParams['insitu']
655 self._math._setinsitu(insitu)
656 varlist = vars()
657 base = { "GHz": 100000000., "MHz": 1000000., "kHz": 1000., "Hz": 1. }
658 if not base.has_key(unit):
659 raise ValueError("%s is not a valid unit." % unit)
660 try:
661 s = scantable(self._math._lag_flag(self, frequency*base[unit], width))
662 except RuntimeError, msg:
663 if rcParams['verbose']:
664 print msg
665 return
666 else: raise
667 s._add_history("lag_flag", varlist)
668 print_log()
669 if insitu:
670 self._assign(s)
671 else:
672 return s
673
674
675 def create_mask(self, *args, **kwargs):
676 """
677 Compute and return a mask based on [min, max] windows.
678 The specified windows are to be INCLUDED, when the mask is
679 applied.
680 Parameters:
681 [min, max], [min2, max2], ...
682 Pairs of start/end points (inclusive)specifying the regions
683 to be masked
684 invert: optional argument. If specified as True,
685 return an inverted mask, i.e. the regions
686 specified are EXCLUDED
687 row: create the mask using the specified row for
688 unit conversions, default is row=0
689 only necessary if frequency varies over rows.
690 Example:
691 scan.set_unit('channel')
692 a)
693 msk = scan.create_mask([400, 500], [800, 900])
694 # masks everything outside 400 and 500
695 # and 800 and 900 in the unit 'channel'
696
697 b)
698 msk = scan.create_mask([400, 500], [800, 900], invert=True)
699 # masks the regions between 400 and 500
700 # and 800 and 900 in the unit 'channel'
701 c)
702 mask only channel 400
703 msk = scan.create_mask([400, 400])
704 """
705 row = 0
706 if kwargs.has_key("row"):
707 row = kwargs.get("row")
708 data = self._getabcissa(row)
709 u = self._getcoordinfo()[0]
710 if rcParams['verbose']:
711 if u == "": u = "channel"
712 msg = "The current mask window unit is %s" % u
713 i = self._check_ifs()
714 if not i:
715 msg += "\nThis mask is only valid for IF=%d" % (self.getif(i))
716 asaplog.push(msg)
717 n = self.nchan()
718 msk = NUM.zeros(n)
719 # test if args is a 'list' or a 'normal *args - UGLY!!!
720
721 ws = (isinstance(args[-1][-1], int) or isinstance(args[-1][-1], float)) \
722 and args or args[0]
723 for window in ws:
724 if (len(window) != 2 or window[0] > window[1] ):
725 raise TypeError("A window needs to be defined as [min, max]")
726 for i in range(n):
727 if data[i] >= window[0] and data[i] <= window[1]:
728 msk[i] = 1
729 if kwargs.has_key('invert'):
730 if kwargs.get('invert'):
731 msk = NUM.logical_not(msk)
732 print_log()
733 return msk
734
735 def get_restfreqs(self):
736 """
737 Get the restfrequency(s) stored in this scantable.
738 The return value(s) are always of unit 'Hz'
739 Parameters:
740 none
741 Returns:
742 a list of doubles
743 """
744 return list(self._getrestfreqs())
745
746
747 def set_restfreqs(self, freqs=None, unit='Hz'):
748 """
749 Set or replace the restfrequency specified and
750 If the 'freqs' argument holds a scalar,
751 then that rest frequency will be applied to all the selected
752 data. If the 'freqs' argument holds
753 a vector, then it MUST be of equal or smaller length than
754 the number of IFs (and the available restfrequencies will be
755 replaced by this vector). In this case, *all* data have
756 the restfrequency set per IF according
757 to the corresponding value you give in the 'freqs' vector.
758 E.g. 'freqs=[1e9, 2e9]' would mean IF 0 gets restfreq 1e9 and
759 IF 1 gets restfreq 2e9.
760 You can also specify the frequencies via a linecatalog/
761
762 Parameters:
763 freqs: list of rest frequency values or string idenitfiers
764 unit: unit for rest frequency (default 'Hz')
765
766 Example:
767 # set the given restfrequency for the whole table
768 scan.set_restfreqs(freqs=1.4e9)
769 # If thee number of IFs in the data is >= 2 the IF0 gets the first
770 # value IF1 the second...
771 scan.set_restfreqs(freqs=[1.4e9, 1.67e9])
772 #set the given restfrequency for the whole table (by name)
773 scan.set_restfreqs(freqs="OH1667")
774
775 Note:
776 To do more sophisticate Restfrequency setting, e.g. on a
777 source and IF basis, use scantable.set_selection() before using
778 this function.
779 # provide your scantable is call scan
780 selection = selector()
781 selection.set_name("ORION*")
782 selection.set_ifs([1])
783 scan.set_selection(selection)
784 scan.set_restfreqs(freqs=86.6e9)
785
786 """
787 varlist = vars()
788 from asap import linecatalog
789 # simple value
790 if isinstance(freqs, int) or isinstance(freqs, float):
791 self._setrestfreqs(freqs, "",unit)
792 # list of values
793 elif isinstance(freqs, list) or isinstance(freqs, tuple):
794 # list values are scalars
795 if isinstance(freqs[-1], int) or isinstance(freqs[-1], float):
796 sel = selector()
797 savesel = self._getselection()
798 for i in xrange(len(freqs)):
799 sel.set_ifs([i])
800 self._setselection(sel)
801 self._setrestfreqs(freqs[i], "",unit)
802 self._setselection(savesel)
803 # list values are tuples, (value, name)
804 elif isinstance(freqs[-1], dict):
805 sel = selector()
806 savesel = self._getselection()
807 for i in xrange(len(freqs)):
808 sel.set_ifs([i])
809 self._setrestfreqs(freqs[i]["value"],
810 freqs[i]["name"], "MHz")
811 self._setselection(sel)
812 self._setselection(savesel)
813 # freqs are to be taken from a linecatalog
814 elif isinstance(freqs, linecatalog):
815 sel = selector()
816 savesel = self._getselection()
817 for i in xrange(freqs.nrow()):
818 sel.set_ifs([i])
819 self._setselection(sel)
820 self._setrestfreqs(freqs.get_frequency(i),
821 freqs.get_name(i), "MHz")
822 # ensure that we are not iterating past nIF
823 if i == self.nif()-1: break
824 self._setselection(savesel)
825 else:
826 return
827 self._add_history("set_restfreqs", varlist)
828
829
830
831 def history(self):
832 hist = list(self._gethistory())
833 out = "-"*80
834 for h in hist:
835 if h.startswith("---"):
836 out += "\n"+h
837 else:
838 items = h.split("##")
839 date = items[0]
840 func = items[1]
841 items = items[2:]
842 out += "\n"+date+"\n"
843 out += "Function: %s\n Parameters:" % (func)
844 for i in items:
845 s = i.split("=")
846 out += "\n %s = %s" % (s[0], s[1])
847 out += "\n"+"-"*80
848 try:
849 from IPython.genutils import page as pager
850 except ImportError:
851 from pydoc import pager
852 pager(out)
853 return
854
855 #
856 # Maths business
857 #
858
859 def average_time(self, mask=None, scanav=False, weight='tint', align=False):
860 """
861 Return the (time) weighted average of a scan.
862 Note:
863 in channels only - align if necessary
864 Parameters:
865 mask: an optional mask (only used for 'var' and 'tsys'
866 weighting)
867 scanav: True averages each scan separately
868 False (default) averages all scans together,
869 weight: Weighting scheme.
870 'none' (mean no weight)
871 'var' (1/var(spec) weighted)
872 'tsys' (1/Tsys**2 weighted)
873 'tint' (integration time weighted)
874 'tintsys' (Tint/Tsys**2)
875 'median' ( median averaging)
876 The default is 'tint'
877 align: align the spectra in velocity before averaging. It takes
878 the time of the first spectrum as reference time.
879 Example:
880 # time average the scantable without using a mask
881 newscan = scan.average_time()
882 """
883 varlist = vars()
884 if weight is None: weight = 'TINT'
885 if mask is None: mask = ()
886 if scanav: scanav = "SCAN"
887 else: scanav = "NONE"
888 scan = (self, )
889 try:
890 if align:
891 scan = (self.freq_align(insitu=False), )
892 s = None
893 if weight.upper() == 'MEDIAN':
894 s = scantable(self._math._averagechannel(scan[0], 'MEDIAN',
895 scanav))
896 else:
897 s = scantable(self._math._average(scan, mask, weight.upper(),
898 scanav))
899 except RuntimeError, msg:
900 if rcParams['verbose']:
901 print msg
902 return
903 else: raise
904 s._add_history("average_time", varlist)
905 print_log()
906 return s
907
908 def convert_flux(self, jyperk=None, eta=None, d=None, insitu=None):
909 """
910 Return a scan where all spectra are converted to either
911 Jansky or Kelvin depending upon the flux units of the scan table.
912 By default the function tries to look the values up internally.
913 If it can't find them (or if you want to over-ride), you must
914 specify EITHER jyperk OR eta (and D which it will try to look up
915 also if you don't set it). jyperk takes precedence if you set both.
916 Parameters:
917 jyperk: the Jy / K conversion factor
918 eta: the aperture efficiency
919 d: the geomtric diameter (metres)
920 insitu: if False a new scantable is returned.
921 Otherwise, the scaling is done in-situ
922 The default is taken from .asaprc (False)
923 allaxes: if True apply to all spectra. Otherwise
924 apply only to the selected (beam/pol/if)spectra only
925 The default is taken from .asaprc (True if none)
926 """
927 if insitu is None: insitu = rcParams['insitu']
928 self._math._setinsitu(insitu)
929 varlist = vars()
930 if jyperk is None: jyperk = -1.0
931 if d is None: d = -1.0
932 if eta is None: eta = -1.0
933 s = scantable(self._math._convertflux(self, d, eta, jyperk))
934 s._add_history("convert_flux", varlist)
935 print_log()
936 if insitu: self._assign(s)
937 else: return s
938
939 def gain_el(self, poly=None, filename="", method="linear", insitu=None):
940 """
941 Return a scan after applying a gain-elevation correction.
942 The correction can be made via either a polynomial or a
943 table-based interpolation (and extrapolation if necessary).
944 You specify polynomial coefficients, an ascii table or neither.
945 If you specify neither, then a polynomial correction will be made
946 with built in coefficients known for certain telescopes (an error
947 will occur if the instrument is not known).
948 The data and Tsys are *divided* by the scaling factors.
949 Parameters:
950 poly: Polynomial coefficients (default None) to compute a
951 gain-elevation correction as a function of
952 elevation (in degrees).
953 filename: The name of an ascii file holding correction factors.
954 The first row of the ascii file must give the column
955 names and these MUST include columns
956 "ELEVATION" (degrees) and "FACTOR" (multiply data
957 by this) somewhere.
958 The second row must give the data type of the
959 column. Use 'R' for Real and 'I' for Integer.
960 An example file would be
961 (actual factors are arbitrary) :
962
963 TIME ELEVATION FACTOR
964 R R R
965 0.1 0 0.8
966 0.2 20 0.85
967 0.3 40 0.9
968 0.4 60 0.85
969 0.5 80 0.8
970 0.6 90 0.75
971 method: Interpolation method when correcting from a table.
972 Values are "nearest", "linear" (default), "cubic"
973 and "spline"
974 insitu: if False a new scantable is returned.
975 Otherwise, the scaling is done in-situ
976 The default is taken from .asaprc (False)
977 """
978
979 if insitu is None: insitu = rcParams['insitu']
980 self._math._setinsitu(insitu)
981 varlist = vars()
982 if poly is None:
983 poly = ()
984 from os.path import expandvars
985 filename = expandvars(filename)
986 s = scantable(self._math._gainel(self, poly, filename, method))
987 s._add_history("gain_el", varlist)
988 print_log()
989 if insitu: self._assign(s)
990 else: return s
991
992 def freq_align(self, reftime=None, method='cubic', insitu=None):
993 """
994 Return a scan where all rows have been aligned in frequency/velocity.
995 The alignment frequency frame (e.g. LSRK) is that set by function
996 set_freqframe.
997 Parameters:
998 reftime: reference time to align at. By default, the time of
999 the first row of data is used.
1000 method: Interpolation method for regridding the spectra.
1001 Choose from "nearest", "linear", "cubic" (default)
1002 and "spline"
1003 insitu: if False a new scantable is returned.
1004 Otherwise, the scaling is done in-situ
1005 The default is taken from .asaprc (False)
1006 """
1007 if insitu is None: insitu = rcParams["insitu"]
1008 self._math._setinsitu(insitu)
1009 varlist = vars()
1010 if reftime is None: reftime = ""
1011 s = scantable(self._math._freq_align(self, reftime, method))
1012 s._add_history("freq_align", varlist)
1013 print_log()
1014 if insitu: self._assign(s)
1015 else: return s
1016
1017 def opacity(self, tau, insitu=None):
1018 """
1019 Apply an opacity correction. The data
1020 and Tsys are multiplied by the correction factor.
1021 Parameters:
1022 tau: Opacity from which the correction factor is
1023 exp(tau*ZD)
1024 where ZD is the zenith-distance
1025 insitu: if False a new scantable is returned.
1026 Otherwise, the scaling is done in-situ
1027 The default is taken from .asaprc (False)
1028 """
1029 if insitu is None: insitu = rcParams['insitu']
1030 self._math._setinsitu(insitu)
1031 varlist = vars()
1032 s = scantable(self._math._opacity(self, tau))
1033 s._add_history("opacity", varlist)
1034 print_log()
1035 if insitu: self._assign(s)
1036 else: return s
1037
1038 def bin(self, width=5, insitu=None):
1039 """
1040 Return a scan where all spectra have been binned up.
1041 width: The bin width (default=5) in pixels
1042 insitu: if False a new scantable is returned.
1043 Otherwise, the scaling is done in-situ
1044 The default is taken from .asaprc (False)
1045 """
1046 if insitu is None: insitu = rcParams['insitu']
1047 self._math._setinsitu(insitu)
1048 varlist = vars()
1049 s = scantable(self._math._bin(self, width))
1050 s._add_history("bin", varlist)
1051 print_log()
1052 if insitu: self._assign(s)
1053 else: return s
1054
1055
1056 def resample(self, width=5, method='cubic', insitu=None):
1057 """
1058 Return a scan where all spectra have been binned up
1059 width: The bin width (default=5) in pixels
1060 method: Interpolation method when correcting from a table.
1061 Values are "nearest", "linear", "cubic" (default)
1062 and "spline"
1063 insitu: if False a new scantable is returned.
1064 Otherwise, the scaling is done in-situ
1065 The default is taken from .asaprc (False)
1066 """
1067 if insitu is None: insitu = rcParams['insitu']
1068 self._math._setinsitu(insitu)
1069 varlist = vars()
1070 s = scantable(self._math._resample(self, method, width))
1071 s._add_history("resample", varlist)
1072 print_log()
1073 if insitu: self._assign(s)
1074 else: return s
1075
1076
1077 def average_pol(self, mask=None, weight='none'):
1078 """
1079 Average the Polarisations together.
1080 Parameters:
1081 mask: An optional mask defining the region, where the
1082 averaging will be applied. The output will have all
1083 specified points masked.
1084 weight: Weighting scheme. 'none' (default), 'var' (1/var(spec)
1085 weighted), or 'tsys' (1/Tsys**2 weighted)
1086 """
1087 varlist = vars()
1088 if mask is None:
1089 mask = ()
1090 s = scantable(self._math._averagepol(self, mask, weight.upper()))
1091 s._add_history("average_pol", varlist)
1092 print_log()
1093 return s
1094
1095 def average_beam(self, mask=None, weight='none'):
1096 """
1097 Average the Beams together.
1098 Parameters:
1099 mask: An optional mask defining the region, where the
1100 averaging will be applied. The output will have all
1101 specified points masked.
1102 weight: Weighting scheme. 'none' (default), 'var' (1/var(spec)
1103 weighted), or 'tsys' (1/Tsys**2 weighted)
1104 """
1105 varlist = vars()
1106 if mask is None:
1107 mask = ()
1108 s = scantable(self._math._averagebeams(self, mask, weight.upper()))
1109 s._add_history("average_beam", varlist)
1110 print_log()
1111 return s
1112
1113 def convert_pol(self, poltype=None):
1114 """
1115 Convert the data to a different polarisation type.
1116 Parameters:
1117 poltype: The new polarisation type. Valid types are:
1118 "linear", "stokes" and "circular"
1119 """
1120 varlist = vars()
1121 try:
1122 s = scantable(self._math._convertpol(self, poltype))
1123 except RuntimeError, msg:
1124 if rcParams['verbose']:
1125 print msg
1126 return
1127 else:
1128 raise
1129 s._add_history("convert_pol", varlist)
1130 print_log()
1131 return s
1132
1133 def smooth(self, kernel="hanning", width=5.0, insitu=None):
1134 """
1135 Smooth the spectrum by the specified kernel (conserving flux).
1136 Parameters:
1137 scan: The input scan
1138 kernel: The type of smoothing kernel. Select from
1139 'hanning' (default), 'gaussian' and 'boxcar'.
1140 The first three characters are sufficient.
1141 width: The width of the kernel in pixels. For hanning this is
1142 ignored otherwise it defauls to 5 pixels.
1143 For 'gaussian' it is the Full Width Half
1144 Maximum. For 'boxcar' it is the full width.
1145 insitu: if False a new scantable is returned.
1146 Otherwise, the scaling is done in-situ
1147 The default is taken from .asaprc (False)
1148 Example:
1149 none
1150 """
1151 if insitu is None: insitu = rcParams['insitu']
1152 self._math._setinsitu(insitu)
1153 varlist = vars()
1154 s = scantable(self._math._smooth(self, kernel.lower(), width))
1155 s._add_history("smooth", varlist)
1156 print_log()
1157 if insitu: self._assign(s)
1158 else: return s
1159
1160
1161 def poly_baseline(self, mask=None, order=0, plot=False, insitu=None):
1162 """
1163 Return a scan which has been baselined (all rows) by a polynomial.
1164 Parameters:
1165 scan: a scantable
1166 mask: an optional mask
1167 order: the order of the polynomial (default is 0)
1168 plot: plot the fit and the residual. In this each
1169 indivual fit has to be approved, by typing 'y'
1170 or 'n'
1171 insitu: if False a new scantable is returned.
1172 Otherwise, the scaling is done in-situ
1173 The default is taken from .asaprc (False)
1174 Example:
1175 # return a scan baselined by a third order polynomial,
1176 # not using a mask
1177 bscan = scan.poly_baseline(order=3)
1178 """
1179 if insitu is None: insitu = rcParams['insitu']
1180 varlist = vars()
1181 if mask is None:
1182 mask = list(NUM.ones(self.nchan(-1)))
1183 from asap.asapfitter import fitter
1184 f = fitter()
1185 f.set_scan(self, mask)
1186 f.set_function(poly=order)
1187 s = f.auto_fit(insitu, plot=plot)
1188 s._add_history("poly_baseline", varlist)
1189 print_log()
1190 if insitu: self._assign(s)
1191 else: return s
1192
1193 def auto_poly_baseline(self, mask=[], edge=(0, 0), order=0,
1194 threshold=3, plot=False, insitu=None):
1195 """
1196 Return a scan which has been baselined (all rows) by a polynomial.
1197 Spectral lines are detected first using linefinder and masked out
1198 to avoid them affecting the baseline solution.
1199
1200 Parameters:
1201 mask: an optional mask retreived from scantable
1202 edge: an optional number of channel to drop at
1203 the edge of spectrum. If only one value is
1204 specified, the same number will be dropped from
1205 both sides of the spectrum. Default is to keep
1206 all channels. Nested tuples represent individual
1207 edge selection for different IFs (a number of spectral
1208 channels can be different)
1209 order: the order of the polynomial (default is 0)
1210 threshold: the threshold used by line finder. It is better to
1211 keep it large as only strong lines affect the
1212 baseline solution.
1213 plot: plot the fit and the residual. In this each
1214 indivual fit has to be approved, by typing 'y'
1215 or 'n'
1216 insitu: if False a new scantable is returned.
1217 Otherwise, the scaling is done in-situ
1218 The default is taken from .asaprc (False)
1219
1220 Example:
1221 scan2=scan.auto_poly_baseline(order=7)
1222 """
1223 if insitu is None: insitu = rcParams['insitu']
1224 varlist = vars()
1225 from asap.asapfitter import fitter
1226 from asap.asaplinefind import linefinder
1227 from asap import _is_sequence_or_number as _is_valid
1228
1229 # check whether edge is set up for each IF individually
1230 individualedge = False;
1231 if len(edge) > 1:
1232 if isinstance(edge[0], list) or isinstance(edge[0], tuple):
1233 individualedge = True;
1234
1235 if not _is_valid(edge, int) and not individualedge:
1236 raise ValueError, "Parameter 'edge' has to be an integer or a \
1237 pair of integers specified as a tuple. Nested tuples are allowed \
1238 to make individual selection for different IFs."
1239
1240 curedge = (0, 0)
1241 if individualedge:
1242 for edgepar in edge:
1243 if not _is_valid(edgepar, int):
1244 raise ValueError, "Each element of the 'edge' tuple has \
1245 to be a pair of integers or an integer."
1246 else:
1247 curedge = edge;
1248
1249 # setup fitter
1250 f = fitter()
1251 f.set_function(poly=order)
1252
1253 # setup line finder
1254 fl = linefinder()
1255 fl.set_options(threshold=threshold)
1256
1257 if not insitu:
1258 workscan = self.copy()
1259 else:
1260 workscan = self
1261
1262 fl.set_scan(workscan)
1263
1264 rows = range(workscan.nrow())
1265 asaplog.push("Processing:")
1266 for r in rows:
1267 msg = " Scan[%d] Beam[%d] IF[%d] Pol[%d] Cycle[%d]" % \
1268 (workscan.getscan(r), workscan.getbeam(r), workscan.getif(r), \
1269 workscan.getpol(r), workscan.getcycle(r))
1270 asaplog.push(msg, False)
1271
1272 # figure out edge parameter
1273 if individualedge:
1274 if len(edge) >= workscan.getif(r):
1275 raise RuntimeError, "Number of edge elements appear to " \
1276 "be less than the number of IFs"
1277 curedge = edge[workscan.getif(r)]
1278
1279 # setup line finder
1280 fl.find_lines(r, mask, curedge)
1281 f.set_scan(workscan, fl.get_mask())
1282 f.x = workscan._getabcissa(r)
1283 f.y = workscan._getspectrum(r)
1284 f.data = None
1285 f.fit()
1286 x = f.get_parameters()
1287 if plot:
1288 f.plot(residual=True)
1289 x = raw_input("Accept fit ( [y]/n ): ")
1290 if x.upper() == 'N':
1291 continue
1292 workscan._setspectrum(f.fitter.getresidual(), r)
1293 if plot:
1294 f._p.unmap()
1295 f._p = None
1296 workscan._add_history("auto_poly_baseline", varlist)
1297 if insitu:
1298 self._assign(workscan)
1299 else:
1300 return workscan
1301
1302 def rotate_linpolphase(self, angle):
1303 """
1304 Rotate the phase of the complex polarization O=Q+iU correlation.
1305 This is always done in situ in the raw data. So if you call this
1306 function more than once then each call rotates the phase further.
1307 Parameters:
1308 angle: The angle (degrees) to rotate (add) by.
1309 Examples:
1310 scan.rotate_linpolphase(2.3)
1311 """
1312 varlist = vars()
1313 self._math._rotate_linpolphase(self, angle)
1314 self._add_history("rotate_linpolphase", varlist)
1315 print_log()
1316 return
1317
1318
1319 def rotate_xyphase(self, angle):
1320 """
1321 Rotate the phase of the XY correlation. This is always done in situ
1322 in the data. So if you call this function more than once
1323 then each call rotates the phase further.
1324 Parameters:
1325 angle: The angle (degrees) to rotate (add) by.
1326 Examples:
1327 scan.rotate_xyphase(2.3)
1328 """
1329 varlist = vars()
1330 self._math._rotate_xyphase(self, angle)
1331 self._add_history("rotate_xyphase", varlist)
1332 print_log()
1333 return
1334
1335 def swap_linears(self):
1336 """
1337 Swap the linear polarisations XX and YY
1338 """
1339 varlist = vars()
1340 self._math._swap_linears(self)
1341 self._add_history("swap_linears", varlist)
1342 print_log()
1343 return
1344
1345 def invert_phase(self):
1346 """
1347 Invert the phase of the complex polarisation
1348 """
1349 varlist = vars()
1350 self._math._invert_phase(self)
1351 self._add_history("invert_phase", varlist)
1352 print_log()
1353 return
1354
1355 def add(self, offset, insitu=None):
1356 """
1357 Return a scan where all spectra have the offset added
1358 Parameters:
1359 offset: the offset
1360 insitu: if False a new scantable is returned.
1361 Otherwise, the scaling is done in-situ
1362 The default is taken from .asaprc (False)
1363 """
1364 if insitu is None: insitu = rcParams['insitu']
1365 self._math._setinsitu(insitu)
1366 varlist = vars()
1367 s = scantable(self._math._unaryop(self, offset, "ADD", False))
1368 s._add_history("add", varlist)
1369 print_log()
1370 if insitu:
1371 self._assign(s)
1372 else:
1373 return s
1374
1375 def scale(self, factor, tsys=True, insitu=None, ):
1376 """
1377 Return a scan where all spectra are scaled by the give 'factor'
1378 Parameters:
1379 factor: the scaling factor
1380 insitu: if False a new scantable is returned.
1381 Otherwise, the scaling is done in-situ
1382 The default is taken from .asaprc (False)
1383 tsys: if True (default) then apply the operation to Tsys
1384 as well as the data
1385 """
1386 if insitu is None: insitu = rcParams['insitu']
1387 self._math._setinsitu(insitu)
1388 varlist = vars()
1389 s = scantable(self._math._unaryop(self, factor, "MUL", tsys))
1390 s._add_history("scale", varlist)
1391 print_log()
1392 if insitu:
1393 self._assign(s)
1394 else:
1395 return s
1396
1397 def auto_quotient(self, mode='time', preserve=True):
1398 """
1399 This function allows to build quotients automatically.
1400 It assumes the observation to have the same numer of
1401 "ons" and "offs"
1402 It will support "closest off in time" in the future
1403 Parameters:
1404 mode: the on/off detection mode; 'suffix' (default)
1405 'suffix' identifies 'off' scans by the
1406 trailing '_R' (Mopra/Parkes) or
1407 '_e'/'_w' (Tid)
1408 preserve: you can preserve (default) the continuum or
1409 remove it. The equations used are
1410 preserve: Output = Toff * (on/off) - Toff
1411 remove: Output = Toff * (on/off) - Ton
1412 """
1413 modes = ["time"]
1414 if not mode in modes:
1415 msg = "please provide valid mode. Valid modes are %s" % (modes)
1416 raise ValueError(msg)
1417 varlist = vars()
1418 s = scantable(self._math._auto_quotient(self, mode, preserve))
1419 s._add_history("auto_quotient", varlist)
1420 print_log()
1421 return s
1422
1423 def mx_quotient(self, mask = None, weight='median', preserve=True):
1424 """
1425 Form a quotient using "off" beams when observing in "MX" mode.
1426 Parameters:
1427 mask: an optional mask to be used when weight == 'stddev'
1428 weight: How to average the off beams. Default is 'median'.
1429 preserve: you can preserve (default) the continuum or
1430 remove it. The equations used are
1431 preserve: Output = Toff * (on/off) - Toff
1432 remove: Output = Toff * (on/off) - Ton
1433 """
1434 if mask is None: mask = ()
1435 varlist = vars()
1436 on = scantable(self._math._mx_extract(self, 'on'))
1437 preoff = scantable(self._math._mx_extract(self, 'off'))
1438 off = preoff.average_time(mask=mask, weight=weight, scanav=False)
1439 from asapmath import quotient
1440 q = quotient(on, off, preserve)
1441 q._add_history("mx_quotient", varlist)
1442 print_log()
1443 return q
1444
1445 def freq_switch(self, insitu=None):
1446 """
1447 Apply frequency switching to the data.
1448 Parameters:
1449 insitu: if False a new scantable is returned.
1450 Otherwise, the swictching is done in-situ
1451 The default is taken from .asaprc (False)
1452 Example:
1453 none
1454 """
1455 if insitu is None: insitu = rcParams['insitu']
1456 self._math._setinsitu(insitu)
1457 varlist = vars()
1458 s = scantable(self._math._freqswitch(self))
1459 s._add_history("freq_switch", varlist)
1460 print_log()
1461 if insitu: self._assign(s)
1462 else: return s
1463
1464 def recalc_azel(self):
1465 """
1466 Recalculate the azimuth and elevation for each position.
1467 Parameters:
1468 none
1469 Example:
1470 """
1471 varlist = vars()
1472 self._recalcazel()
1473 self._add_history("recalc_azel", varlist)
1474 print_log()
1475 return
1476
1477 def __add__(self, other):
1478 varlist = vars()
1479 s = None
1480 if isinstance(other, scantable):
1481 print "scantable + scantable NYI"
1482 return
1483 elif isinstance(other, float):
1484 s = scantable(self._math._unaryop(self, other, "ADD", False))
1485 else:
1486 raise TypeError("Other input is not a scantable or float value")
1487 s._add_history("operator +", varlist)
1488 print_log()
1489 return s
1490
1491 def __sub__(self, other):
1492 """
1493 implicit on all axes and on Tsys
1494 """
1495 varlist = vars()
1496 s = None
1497 if isinstance(other, scantable):
1498 print "scantable - scantable NYI"
1499 return
1500 elif isinstance(other, float):
1501 s = scantable(self._math._unaryop(self, other, "SUB", False))
1502 else:
1503 raise TypeError("Other input is not a scantable or float value")
1504 s._add_history("operator -", varlist)
1505 print_log()
1506 return s
1507
1508 def __mul__(self, other):
1509 """
1510 implicit on all axes and on Tsys
1511 """
1512 varlist = vars()
1513 s = None
1514 if isinstance(other, scantable):
1515 print "scantable * scantable NYI"
1516 return
1517 elif isinstance(other, float):
1518 s = scantable(self._math._unaryop(self, other, "MUL", False))
1519 else:
1520 raise TypeError("Other input is not a scantable or float value")
1521 s._add_history("operator *", varlist)
1522 print_log()
1523 return s
1524
1525
1526 def __div__(self, other):
1527 """
1528 implicit on all axes and on Tsys
1529 """
1530 varlist = vars()
1531 s = None
1532 if isinstance(other, scantable):
1533 print "scantable / scantable NYI"
1534 return
1535 elif isinstance(other, float):
1536 if other == 0.0:
1537 raise ZeroDivisionError("Dividing by zero is not recommended")
1538 s = scantable(self._math._unaryop(self, other, "DIV", False))
1539 else:
1540 raise TypeError("Other input is not a scantable or float value")
1541 s._add_history("operator /", varlist)
1542 print_log()
1543 return s
1544
1545 def get_fit(self, row=0):
1546 """
1547 Print or return the stored fits for a row in the scantable
1548 Parameters:
1549 row: the row which the fit has been applied to.
1550 """
1551 if row > self.nrow():
1552 return
1553 from asap.asapfit import asapfit
1554 fit = asapfit(self._getfit(row))
1555 if rcParams['verbose']:
1556 print fit
1557 return
1558 else:
1559 return fit.as_dict()
1560
1561 def _add_history(self, funcname, parameters):
1562 # create date
1563 sep = "##"
1564 from datetime import datetime
1565 dstr = datetime.now().strftime('%Y/%m/%d %H:%M:%S')
1566 hist = dstr+sep
1567 hist += funcname+sep#cdate+sep
1568 if parameters.has_key('self'): del parameters['self']
1569 for k, v in parameters.iteritems():
1570 if type(v) is dict:
1571 for k2, v2 in v.iteritems():
1572 hist += k2
1573 hist += "="
1574 if isinstance(v2, scantable):
1575 hist += 'scantable'
1576 elif k2 == 'mask':
1577 if isinstance(v2, list) or isinstance(v2, tuple):
1578 hist += str(self._zip_mask(v2))
1579 else:
1580 hist += str(v2)
1581 else:
1582 hist += str(v2)
1583 else:
1584 hist += k
1585 hist += "="
1586 if isinstance(v, scantable):
1587 hist += 'scantable'
1588 elif k == 'mask':
1589 if isinstance(v, list) or isinstance(v, tuple):
1590 hist += str(self._zip_mask(v))
1591 else:
1592 hist += str(v)
1593 else:
1594 hist += str(v)
1595 hist += sep
1596 hist = hist[:-2] # remove trailing '##'
1597 self._addhistory(hist)
1598
1599
1600 def _zip_mask(self, mask):
1601 mask = list(mask)
1602 i = 0
1603 segments = []
1604 while mask[i:].count(1):
1605 i += mask[i:].index(1)
1606 if mask[i:].count(0):
1607 j = i + mask[i:].index(0)
1608 else:
1609 j = len(mask)
1610 segments.append([i, j])
1611 i = j
1612 return segments
1613
1614 def _get_ordinate_label(self):
1615 fu = "("+self.get_fluxunit()+")"
1616 import re
1617 lbl = "Intensity"
1618 if re.match(".K.", fu):
1619 lbl = "Brightness Temperature "+ fu
1620 elif re.match(".Jy.", fu):
1621 lbl = "Flux density "+ fu
1622 return lbl
1623
1624 def _check_ifs(self):
1625 nchans = [self.nchan(i) for i in range(self.nif(-1))]
1626 nchans = filter(lambda t: t > 0, nchans)
1627 return (sum(nchans)/len(nchans) == nchans[0])
1628
1629 def _fill(self, names, unit, average):
1630 import os
1631 from asap._asap import stfiller
1632 first = True
1633 fullnames = []
1634 for name in names:
1635 name = os.path.expandvars(name)
1636 name = os.path.expanduser(name)
1637 if not os.path.exists(name):
1638 msg = "File '%s' does not exists" % (name)
1639 if rcParams['verbose']:
1640 asaplog.push(msg)
1641 print asaplog.pop().strip()
1642 return
1643 raise IOError(msg)
1644 fullnames.append(name)
1645 if average:
1646 asaplog.push('Auto averaging integrations')
1647 stype = int(rcParams['scantable.storage'].lower() == 'disk')
1648 for name in fullnames:
1649 tbl = Scantable(stype)
1650 r = stfiller(tbl)
1651 msg = "Importing %s..." % (name)
1652 asaplog.push(msg, False)
1653 print_log()
1654 r._open(name, -1, -1)
1655 r._read()
1656 #tbl = r._getdata()
1657 if average:
1658 tbl = self._math._average((tbl, ), (), 'NONE', 'SCAN')
1659 #tbl = tbl2
1660 if not first:
1661 tbl = self._math._merge([self, tbl])
1662 #tbl = tbl2
1663 Scantable.__init__(self, tbl)
1664 r._close()
1665 del r, tbl
1666 first = False
1667 if unit is not None:
1668 self.set_fluxunit(unit)
1669 self.set_freqframe(rcParams['scantable.freqframe'])
1670 #self._add_history("scantable", varlist)
1671
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