1 | from scantable import scantable
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2 | from asap import rcParams
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3 | from asap import print_log
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4 |
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5 | def average_time(*args, **kwargs):
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6 | """
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7 | Return the (time) average of a scan or list of scans. [in channels only]
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8 | The cursor of the output scan is set to 0
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9 | Parameters:
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10 | one scan or comma separated scans
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11 | mask: an optional mask (only used for 'var' and 'tsys' weighting)
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12 | scanav: True averages each scan separately.
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13 | False (default) averages all scans together,
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14 | weight: Weighting scheme. 'none, 'var' (1/var(spec)
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15 | weighted), 'tsys' (1/Tsys**2 weighted), 'tint'
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16 | (integration time weighted) or 'tintsys' (Tsys
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17 | and tint). The default is 'tint'
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18 | Example:
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19 | # return a time averaged scan from scana and scanb
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20 | # without using a mask
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21 | scanav = average_time(scana,scanb)
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22 | # return the (time) averaged scan, i.e. the average of
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23 | # all correlator cycles
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24 | scanav = average_time(scan, scanav=True)
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25 | """
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26 | scanAv = False
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27 | if kwargs.has_key('scanav'):
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28 | scanAv = kwargs.get('scanav')
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29 | weight = 'tint'
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30 | if kwargs.has_key('weight'):
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31 | weight = kwargs.get('weight')
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32 | mask = ()
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33 | if kwargs.has_key('mask'):
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34 | mask = kwargs.get('mask')
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35 | varlist = vars()
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36 | if isinstance(args[0],list):
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37 | lst = tuple(args[0])
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38 | elif isinstance(args[0],tuple):
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39 | lst = args[0]
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40 | else:
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41 | lst = tuple(args)
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42 |
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43 | del varlist["kwargs"]
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44 | varlist["args"] = "%d scantables" % len(lst)
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45 | # need special formatting her for history...
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46 |
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47 | from asap._asap import stmath
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48 | stm = stmath()
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49 | for s in lst:
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50 | if not isinstance(s,scantable):
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51 | msg = "Please give a list of scantables"
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52 | if rcParams['verbose']:
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53 | print msg
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54 | return
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55 | else:
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56 | raise TypeError(msg)
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57 | if scanAv: scanAv = "SCAN"
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58 | else: scanAv = "NONE"
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59 | s = scantable(stm._average(lst, mask, weight, scanAv, False))
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60 | s._add_history("average_time",varlist)
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61 | print_log()
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62 | return s
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63 |
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64 | # def quotient(source, reference, preserve=True):
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65 | # """
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66 | # Return the quotient of a 'source' (signal) scan and a 'reference' scan.
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67 | # The reference can have just one row, even if the signal has many. Otherwise
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68 | # they must have the same number of rows.
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69 | # The cursor of the output scan is set to 0
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70 | # Parameters:
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71 | # source: the 'on' scan
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72 | # reference: the 'off' scan
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73 | # preserve: you can preserve (default) the continuum or
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74 | # remove it. The equations used are
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75 | # preserve: Output = Toff * (on/off) - Toff
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76 | # remove: Output = Toff * (on/off) - Ton
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77 | # """
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78 | # varlist = vars()
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79 | # from asap._asap import quotient as _quot
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80 | # s = scantable(_quot(source, reference, preserve))
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81 | # s._add_history("quotient",varlist)
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82 | # print_log()
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83 | # return s
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84 |
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85 | def simple_math(left, right, op='add', tsys=True):
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86 | """
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87 | Apply simple mathematical binary operations to two
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88 | scan tables, returning the result in a new scan table.
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89 | The operation is applied to both the correlations and the TSys data
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90 | The cursor of the output scan is set to 0
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91 | Parameters:
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92 | left: the 'left' scan
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93 | right: the 'right' scan
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94 | op: the operation: 'add' (default), 'sub', 'mul', 'div'
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95 | tsys: if True (default) then apply the operation to Tsys
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96 | as well as the data
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97 | """
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98 | varlist = vars()
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99 | print "Not yet available in asap"
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100 | return
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101 | if not isinstance(left,scantable) and not isinstance(right,scantable):
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102 | msg = "Please provide two scantables as input"
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103 | if rcParams['verbose']:
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104 | print msg
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105 | return
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106 | else:
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107 | raise TypeError(msg)
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108 | from asap._asap import b_operate as _bop
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109 | s = scantable(_bop(left, right, op, tsys))
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110 | s._add_history("simple_math", varlist)
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111 | print_log()
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112 | return s
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