source: trunk/python/asapmath.py @ 945

Last change on this file since 945 was 945, checked in by mar637, 18 years ago

fixed scanAv->scanav mix up

  • Property svn:eol-style set to native
  • Property svn:keywords set to Author Date Id Revision
File size: 4.9 KB
RevLine 
[101]1from scantable import scantable
[258]2from asap import rcParams
[720]3from asap import print_log
[101]4
[143]5def average_time(*args, **kwargs):
[101]6    """
[113]7    Return the (time) average of a scan or list of scans. [in channels only]
[305]8    The cursor of the output scan is set to 0
[113]9    Parameters:
10        one scan or comma separated  scans
[143]11        mask:     an optional mask (only used for 'var' and 'tsys' weighting)
[558]12        scanav:   True averages each scan separately.
13                  False (default) averages all scans together,
[720]14        weight:   Weighting scheme. 'none, 'var' (1/var(spec)
[543]15                  weighted), 'tsys' (1/Tsys**2 weighted), 'tint'
[720]16                  (integration time weighted) or 'tintsys' (Tsys
[543]17                  and tint). The default is 'tint'
[930]18        align:    align the spectra in velocity before averaging. It takes
19                  the time of the first spectrum in the first scantable
20                  as reference time.
[113]21    Example:
22        # return a time averaged scan from scana and scanb
23        # without using a mask
[129]24        scanav = average_time(scana,scanb)
[113]25        # return the (time) averaged scan, i.e. the average of
26        # all correlator cycles
[558]27        scanav = average_time(scan, scanav=True)
[101]28    """
[930]29    scanav = False
[143]30    if kwargs.has_key('scanav'):
[930]31       scanav = kwargs.get('scanav')
[524]32    weight = 'tint'
[143]33    if kwargs.has_key('weight'):
34       weight = kwargs.get('weight')
35    mask = ()
36    if kwargs.has_key('mask'):
37        mask = kwargs.get('mask')
[930]38    align = False
39    if kwargs.has_key('align'):
40        align = kwargs.get('align')
[489]41    varlist = vars()
[665]42    if isinstance(args[0],list):
43        lst = tuple(args[0])
44    elif isinstance(args[0],tuple):
45        lst = args[0]
46    else:
47        lst = tuple(args)
[720]48
[489]49    del varlist["kwargs"]
50    varlist["args"] = "%d scantables" % len(lst)
51    # need special formatting her for history...
[720]52
[876]53    from asap._asap import stmath
54    stm = stmath()
[113]55    for s in lst:
[101]56        if not isinstance(s,scantable):
[720]57            msg = "Please give a list of scantables"
58            if rcParams['verbose']:
59                print msg
60                return
61            else:
62                raise TypeError(msg)
[945]63    if scanav: scanav = "SCAN"
64    else: scanav = "NONE"
[930]65    s = scantable(stm._average(lst, mask, weight, scanav, align))
[489]66    s._add_history("average_time",varlist)
[720]67    print_log()
[489]68    return s
[101]69
[876]70# def quotient(source, reference, preserve=True):
71#     """
72#     Return the quotient of a 'source' (signal) scan and a 'reference' scan.
73#     The reference can have just one row, even if the signal has many. Otherwise
74#     they must have the same number of rows.
75#     The cursor of the output scan is set to 0
76#     Parameters:
77#         source:        the 'on' scan
78#         reference:     the 'off' scan
79#         preserve:      you can preserve (default) the continuum or
80#                        remove it.  The equations used are
81#                        preserve:  Output = Toff * (on/off) - Toff
82#                        remove:    Output = Toff * (on/off) - Ton
83#     """
84#     varlist = vars()
85#     from asap._asap import quotient as _quot
86#     s = scantable(_quot(source, reference, preserve))
87#     s._add_history("quotient",varlist)
88#     print_log()
89#     return s
[101]90
[296]91def simple_math(left, right, op='add', tsys=True):
[242]92    """
[720]93    Apply simple mathematical binary operations to two
[242]94    scan tables,  returning the result in a new scan table.
95    The operation is applied to both the correlations and the TSys data
[305]96    The cursor of the output scan is set to 0
[242]97    Parameters:
98        left:          the 'left' scan
99        right:         the 'right' scan
100        op:            the operation: 'add' (default), 'sub', 'mul', 'div'
[296]101        tsys:          if True (default) then apply the operation to Tsys
102                       as well as the data
[242]103    """
[489]104    varlist = vars()
[876]105    print "Not yet available in asap"
106    return
[258]107    if not isinstance(left,scantable) and not isinstance(right,scantable):
[720]108        msg = "Please provide two scantables as input"
109        if rcParams['verbose']:
110            print msg
111            return
112        else:
113            raise TypeError(msg)
[918]114    s = scantable(stm._bop(left, right, op, tsys))
[489]115    s._add_history("simple_math", varlist)
[720]116    print_log()
[489]117    return s
[918]118
119def merge(*args):
[945]120    """
121    """
[918]122    varlist = vars()
123    if isinstance(args[0],list):
124        lst = tuple(args[0])
125    elif isinstance(args[0],tuple):
126        lst = args[0]
127    else:
128        lst = tuple(args)
129    varlist["args"] = "%d scantables" % len(lst)
130    # need special formatting her for history...
131    from asap._asap import stmath
132    stm = stmath()
133    for s in lst:
134        if not isinstance(s,scantable):
135            msg = "Please give a list of scantables"
136            if rcParams['verbose']:
137                print msg
138                return
139            else:
140                raise TypeError(msg)
141    s = scantable(stm._merge(lst))
142    s._add_history("merge", varlist)
143    print_log()
144    return s
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