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