[1697] | 1 | import os |
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[1691] | 2 | try: |
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| 3 | from functools import wraps as wraps_dec |
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| 4 | except ImportError: |
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| 5 | from asap.compatibility import wraps as wraps_dec |
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| 6 | |
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[1824] | 7 | from asap.env import is_casapy |
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[876] | 8 | from asap._asap import Scantable |
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[1824] | 9 | from asap.parameters import rcParams |
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| 10 | from asap.logging import asaplog, print_log, print_log_dec |
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| 11 | from asap.selector import selector |
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| 12 | from asap.linecatalog import linecatalog |
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[1600] | 13 | from asap.coordinate import coordinate |
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[1824] | 14 | from asap.utils import _n_bools, mask_not, mask_and, mask_or |
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[102] | 15 | |
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[1689] | 16 | |
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| 17 | def preserve_selection(func): |
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[1691] | 18 | @wraps_dec(func) |
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[1689] | 19 | def wrap(obj, *args, **kw): |
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| 20 | basesel = obj.get_selection() |
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| 21 | val = func(obj, *args, **kw) |
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| 22 | obj.set_selection(basesel) |
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| 23 | return val |
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| 24 | return wrap |
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| 25 | |
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| 26 | |
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[1697] | 27 | def is_scantable(filename): |
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| 28 | return (os.path.isdir(filename) |
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| 29 | and not os.path.exists(filename+'/table.f1') |
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| 30 | and os.path.exists(filename+'/table.info')) |
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| 31 | |
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| 32 | |
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[876] | 33 | class scantable(Scantable): |
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[102] | 34 | """ |
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| 35 | The ASAP container for scans |
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| 36 | """ |
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[1819] | 37 | |
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[1589] | 38 | @print_log_dec |
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[1824] | 39 | def __init__(self, filename, average=None, unit=None, getpt=None, |
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| 40 | antenna=None, parallactify=None): |
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[102] | 41 | """ |
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| 42 | Create a scantable from a saved one or make a reference |
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| 43 | Parameters: |
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[181] | 44 | filename: the name of an asap table on disk |
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| 45 | or |
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| 46 | the name of a rpfits/sdfits/ms file |
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| 47 | (integrations within scans are auto averaged |
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| 48 | and the whole file is read) |
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| 49 | or |
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| 50 | [advanced] a reference to an existing |
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[102] | 51 | scantable |
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[484] | 52 | average: average all integrations withinb a scan on read. |
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| 53 | The default (True) is taken from .asaprc. |
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| 54 | unit: brightness unit; must be consistent with K or Jy. |
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[340] | 55 | Over-rides the default selected by the reader |
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| 56 | (input rpfits/sdfits/ms) or replaces the value |
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| 57 | in existing scantables |
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[1819] | 58 | getpt: for MeasurementSet input data only: |
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| 59 | If True, all pointing data are filled. |
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| 60 | The deafult is False, which makes time to load |
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| 61 | the MS data faster in some cases. |
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| 62 | antenna: Antenna selection. integer (id) or string (name |
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| 63 | or id). |
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[1586] | 64 | parallactify: Indcicate that the data had been parallatified. |
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| 65 | Default is taken form rc file. |
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[710] | 66 | """ |
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[976] | 67 | if average is None: |
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[710] | 68 | average = rcParams['scantable.autoaverage'] |
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[1819] | 69 | if getpt is None: |
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| 70 | getpt = True |
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| 71 | if antenna is None: |
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| 72 | antenna = '' |
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| 73 | elif type(antenna) == int: |
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| 74 | antenna = '%s'%antenna |
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| 75 | elif type(antenna) == list: |
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| 76 | tmpstr = '' |
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| 77 | for i in range( len(antenna) ): |
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| 78 | if type(antenna[i]) == int: |
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| 79 | tmpstr = tmpstr + ('%s,'%(antenna[i])) |
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| 80 | elif type(antenna[i]) == str: |
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| 81 | tmpstr=tmpstr+antenna[i]+',' |
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| 82 | else: |
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| 83 | asaplog.push('Bad antenna selection.') |
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| 84 | print_log('ERROR') |
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| 85 | return |
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| 86 | antenna = tmpstr.rstrip(',') |
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[1593] | 87 | parallactify = parallactify or rcParams['scantable.parallactify'] |
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[1259] | 88 | varlist = vars() |
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[876] | 89 | from asap._asap import stmath |
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[1819] | 90 | self._math = stmath( rcParams['insitu'] ) |
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[876] | 91 | if isinstance(filename, Scantable): |
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| 92 | Scantable.__init__(self, filename) |
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[181] | 93 | else: |
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[1697] | 94 | if isinstance(filename, str): |
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[976] | 95 | filename = os.path.expandvars(filename) |
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| 96 | filename = os.path.expanduser(filename) |
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| 97 | if not os.path.exists(filename): |
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| 98 | s = "File '%s' not found." % (filename) |
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[718] | 99 | if rcParams['verbose']: |
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[976] | 100 | asaplog.push(s) |
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[1819] | 101 | print_log('ERROR') |
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[718] | 102 | return |
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[976] | 103 | raise IOError(s) |
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[1697] | 104 | if is_scantable(filename): |
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| 105 | ondisk = rcParams['scantable.storage'] == 'disk' |
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| 106 | Scantable.__init__(self, filename, ondisk) |
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| 107 | if unit is not None: |
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| 108 | self.set_fluxunit(unit) |
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[1819] | 109 | # do not reset to the default freqframe |
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| 110 | #self.set_freqframe(rcParams['scantable.freqframe']) |
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| 111 | elif os.path.isdir(filename) \ |
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| 112 | and not os.path.exists(filename+'/table.f1'): |
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| 113 | msg = "The given file '%s'is not a valid " \ |
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| 114 | "asap table." % (filename) |
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| 115 | if rcParams['verbose']: |
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| 116 | #print msg |
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| 117 | asaplog.push( msg ) |
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| 118 | print_log( 'ERROR' ) |
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| 119 | return |
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| 120 | else: |
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| 121 | raise IOError(msg) |
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[226] | 122 | else: |
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[1819] | 123 | self._fill([filename], unit, average, getpt, antenna) |
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[1118] | 124 | elif (isinstance(filename, list) or isinstance(filename, tuple)) \ |
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[976] | 125 | and isinstance(filename[-1], str): |
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[1819] | 126 | self._fill(filename, unit, average, getpt, antenna) |
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[1586] | 127 | self.parallactify(parallactify) |
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[1259] | 128 | self._add_history("scantable", varlist) |
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[1819] | 129 | print_log() |
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[102] | 130 | |
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[1589] | 131 | @print_log_dec |
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[876] | 132 | def save(self, name=None, format=None, overwrite=False): |
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[116] | 133 | """ |
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[1280] | 134 | Store the scantable on disk. This can be an asap (aips++) Table, |
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| 135 | SDFITS or MS2 format. |
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[116] | 136 | Parameters: |
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[1093] | 137 | name: the name of the outputfile. For format "ASCII" |
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| 138 | this is the root file name (data in 'name'.txt |
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[497] | 139 | and header in 'name'_header.txt) |
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[116] | 140 | format: an optional file format. Default is ASAP. |
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[280] | 141 | Allowed are - 'ASAP' (save as ASAP [aips++] Table), |
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[194] | 142 | 'SDFITS' (save as SDFITS file) |
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[200] | 143 | 'ASCII' (saves as ascii text file) |
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[226] | 144 | 'MS2' (saves as an aips++ |
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| 145 | MeasurementSet V2) |
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[1573] | 146 | 'FITS' (save as image FITS - not |
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[1443] | 147 | readable by class) |
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| 148 | 'CLASS' (save as FITS readable by CLASS) |
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[411] | 149 | overwrite: If the file should be overwritten if it exists. |
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[256] | 150 | The default False is to return with warning |
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[411] | 151 | without writing the output. USE WITH CARE. |
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[116] | 152 | Example: |
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| 153 | scan.save('myscan.asap') |
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[1118] | 154 | scan.save('myscan.sdfits', 'SDFITS') |
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[116] | 155 | """ |
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[411] | 156 | from os import path |
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[1593] | 157 | format = format or rcParams['scantable.save'] |
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[256] | 158 | suffix = '.'+format.lower() |
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[1118] | 159 | if name is None or name == "": |
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[256] | 160 | name = 'scantable'+suffix |
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[718] | 161 | msg = "No filename given. Using default name %s..." % name |
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| 162 | asaplog.push(msg) |
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[411] | 163 | name = path.expandvars(name) |
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[256] | 164 | if path.isfile(name) or path.isdir(name): |
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| 165 | if not overwrite: |
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[718] | 166 | msg = "File %s exists." % name |
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| 167 | if rcParams['verbose']: |
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[1819] | 168 | #print msg |
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| 169 | asaplog.push( msg ) |
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| 170 | print_log( 'ERROR' ) |
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[718] | 171 | return |
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| 172 | else: |
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| 173 | raise IOError(msg) |
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[451] | 174 | format2 = format.upper() |
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| 175 | if format2 == 'ASAP': |
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[116] | 176 | self._save(name) |
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| 177 | else: |
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[989] | 178 | from asap._asap import stwriter as stw |
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[1118] | 179 | writer = stw(format2) |
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| 180 | writer.write(self, name) |
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[1819] | 181 | print_log() |
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[116] | 182 | return |
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| 183 | |
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[102] | 184 | def copy(self): |
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| 185 | """ |
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| 186 | Return a copy of this scantable. |
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[1348] | 187 | Note: |
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| 188 | This makes a full (deep) copy. scan2 = scan1 makes a reference. |
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[102] | 189 | Parameters: |
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[113] | 190 | none |
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[102] | 191 | Example: |
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| 192 | copiedscan = scan.copy() |
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| 193 | """ |
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[876] | 194 | sd = scantable(Scantable._copy(self)) |
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[113] | 195 | return sd |
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| 196 | |
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[1093] | 197 | def drop_scan(self, scanid=None): |
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| 198 | """ |
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| 199 | Return a new scantable where the specified scan number(s) has(have) |
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| 200 | been dropped. |
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| 201 | Parameters: |
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| 202 | scanid: a (list of) scan number(s) |
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| 203 | """ |
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| 204 | from asap import _is_sequence_or_number as _is_valid |
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| 205 | from asap import _to_list |
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| 206 | from asap import unique |
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| 207 | if not _is_valid(scanid): |
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| 208 | if rcParams['verbose']: |
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[1819] | 209 | #print "Please specify a scanno to drop from the scantable" |
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| 210 | asaplog.push( 'Please specify a scanno to drop from the scantable' ) |
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| 211 | print_log( 'ERROR' ) |
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[1093] | 212 | return |
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| 213 | else: |
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| 214 | raise RuntimeError("No scan given") |
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| 215 | try: |
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| 216 | scanid = _to_list(scanid) |
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| 217 | allscans = unique([ self.getscan(i) for i in range(self.nrow())]) |
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| 218 | for sid in scanid: allscans.remove(sid) |
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[1118] | 219 | if len(allscans) == 0: |
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| 220 | raise ValueError("Can't remove all scans") |
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[1093] | 221 | except ValueError: |
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| 222 | if rcParams['verbose']: |
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[1819] | 223 | #print "Couldn't find any match." |
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| 224 | print_log() |
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| 225 | asaplog.push( "Couldn't find any match." ) |
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| 226 | print_log( 'ERROR' ) |
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[1093] | 227 | return |
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| 228 | else: raise |
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| 229 | try: |
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[1593] | 230 | sel = selector(scans=allscans) |
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[1594] | 231 | return self._select_copy(sel) |
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[1093] | 232 | except RuntimeError: |
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[1118] | 233 | if rcParams['verbose']: |
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[1819] | 234 | #print "Couldn't find any match." |
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| 235 | print_log() |
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| 236 | asaplog.push( "Couldn't find any match." ) |
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| 237 | print_log( 'ERROR' ) |
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[1118] | 238 | else: |
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| 239 | raise |
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[1093] | 240 | |
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[1594] | 241 | def _select_copy(self, selection): |
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| 242 | orig = self.get_selection() |
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| 243 | self.set_selection(orig+selection) |
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| 244 | cp = self.copy() |
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| 245 | self.set_selection(orig) |
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| 246 | return cp |
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| 247 | |
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[102] | 248 | def get_scan(self, scanid=None): |
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| 249 | """ |
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| 250 | Return a specific scan (by scanno) or collection of scans (by |
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| 251 | source name) in a new scantable. |
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[1348] | 252 | Note: |
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| 253 | See scantable.drop_scan() for the inverse operation. |
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[102] | 254 | Parameters: |
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[513] | 255 | scanid: a (list of) scanno or a source name, unix-style |
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| 256 | patterns are accepted for source name matching, e.g. |
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| 257 | '*_R' gets all 'ref scans |
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[102] | 258 | Example: |
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[513] | 259 | # get all scans containing the source '323p459' |
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| 260 | newscan = scan.get_scan('323p459') |
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| 261 | # get all 'off' scans |
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| 262 | refscans = scan.get_scan('*_R') |
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| 263 | # get a susbset of scans by scanno (as listed in scan.summary()) |
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[1118] | 264 | newscan = scan.get_scan([0, 2, 7, 10]) |
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[102] | 265 | """ |
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| 266 | if scanid is None: |
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[718] | 267 | if rcParams['verbose']: |
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[1819] | 268 | #print "Please specify a scan no or name to " \ |
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| 269 | # "retrieve from the scantable" |
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| 270 | asaplog.push( 'Please specify a scan no or name to retrieve from the scantable' ) |
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| 271 | print_log( 'ERROR' ) |
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[718] | 272 | return |
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| 273 | else: |
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| 274 | raise RuntimeError("No scan given") |
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| 275 | |
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[102] | 276 | try: |
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[946] | 277 | bsel = self.get_selection() |
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| 278 | sel = selector() |
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[102] | 279 | if type(scanid) is str: |
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[946] | 280 | sel.set_name(scanid) |
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[1594] | 281 | return self._select_copy(sel) |
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[102] | 282 | elif type(scanid) is int: |
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[946] | 283 | sel.set_scans([scanid]) |
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[1594] | 284 | return self._select_copy(sel) |
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[381] | 285 | elif type(scanid) is list: |
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[946] | 286 | sel.set_scans(scanid) |
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[1594] | 287 | return self._select_copy(sel) |
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[381] | 288 | else: |
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[718] | 289 | msg = "Illegal scanid type, use 'int' or 'list' if ints." |
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| 290 | if rcParams['verbose']: |
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[1819] | 291 | #print msg |
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| 292 | asaplog.push( msg ) |
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| 293 | print_log( 'ERROR' ) |
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[718] | 294 | else: |
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| 295 | raise TypeError(msg) |
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[102] | 296 | except RuntimeError: |
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[1819] | 297 | if rcParams['verbose']: |
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| 298 | #print "Couldn't find any match." |
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| 299 | print_log() |
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| 300 | asaplog.push( "Couldn't find any match." ) |
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| 301 | print_log( 'ERROR' ) |
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[718] | 302 | else: raise |
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[102] | 303 | |
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| 304 | def __str__(self): |
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[1118] | 305 | return Scantable._summary(self, True) |
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[102] | 306 | |
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[976] | 307 | def summary(self, filename=None): |
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[102] | 308 | """ |
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| 309 | Print a summary of the contents of this scantable. |
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| 310 | Parameters: |
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| 311 | filename: the name of a file to write the putput to |
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| 312 | Default - no file output |
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| 313 | """ |
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[976] | 314 | info = Scantable._summary(self, True) |
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[102] | 315 | if filename is not None: |
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[256] | 316 | if filename is "": |
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| 317 | filename = 'scantable_summary.txt' |
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[415] | 318 | from os.path import expandvars, isdir |
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[411] | 319 | filename = expandvars(filename) |
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[415] | 320 | if not isdir(filename): |
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[413] | 321 | data = open(filename, 'w') |
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| 322 | data.write(info) |
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| 323 | data.close() |
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| 324 | else: |
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[718] | 325 | msg = "Illegal file name '%s'." % (filename) |
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| 326 | if rcParams['verbose']: |
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[1819] | 327 | #print msg |
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| 328 | asaplog.push( msg ) |
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| 329 | print_log( 'ERROR' ) |
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[718] | 330 | else: |
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| 331 | raise IOError(msg) |
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| 332 | if rcParams['verbose']: |
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[794] | 333 | try: |
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| 334 | from IPython.genutils import page as pager |
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| 335 | except ImportError: |
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| 336 | from pydoc import pager |
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| 337 | pager(info) |
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[718] | 338 | else: |
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| 339 | return info |
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[710] | 340 | |
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[1512] | 341 | def get_spectrum(self, rowno): |
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[1471] | 342 | """Return the spectrum for the current row in the scantable as a list. |
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| 343 | Parameters: |
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[1573] | 344 | rowno: the row number to retrieve the spectrum from |
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[1471] | 345 | """ |
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| 346 | return self._getspectrum(rowno) |
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[946] | 347 | |
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[1471] | 348 | def get_mask(self, rowno): |
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| 349 | """Return the mask for the current row in the scantable as a list. |
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| 350 | Parameters: |
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[1573] | 351 | rowno: the row number to retrieve the mask from |
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[1471] | 352 | """ |
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| 353 | return self._getmask(rowno) |
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| 354 | |
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| 355 | def set_spectrum(self, spec, rowno): |
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| 356 | """Return the spectrum for the current row in the scantable as a list. |
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| 357 | Parameters: |
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| 358 | spec: the spectrum |
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[1573] | 359 | rowno: the row number to set the spectrum for |
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[1471] | 360 | """ |
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| 361 | assert(len(spec) == self.nchan()) |
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| 362 | return self._setspectrum(spec, rowno) |
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| 363 | |
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[1600] | 364 | def get_coordinate(self, rowno): |
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| 365 | """Return the (spectral) coordinate for a a given 'rowno'. |
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| 366 | NOTE: |
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| 367 | * This coordinate is only valid until a scantable method modifies |
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| 368 | the frequency axis. |
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| 369 | * This coordinate does contain the original frequency set-up |
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| 370 | NOT the new frame. The conversions however are done using the user |
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| 371 | specified frame (e.g. LSRK/TOPO). To get the 'real' coordinate, |
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| 372 | use scantable.freq_align first. Without it there is no closure, |
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| 373 | i.e. |
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| 374 | c = myscan.get_coordinate(0) |
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| 375 | c.to_frequency(c.get_reference_pixel()) != c.get_reference_value() |
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| 376 | |
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| 377 | Parameters: |
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| 378 | rowno: the row number for the spectral coordinate |
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| 379 | |
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| 380 | """ |
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| 381 | return coordinate(Scantable.get_coordinate(self, rowno)) |
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| 382 | |
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[946] | 383 | def get_selection(self): |
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| 384 | """ |
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[1005] | 385 | Get the selection object currently set on this scantable. |
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| 386 | Parameters: |
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| 387 | none |
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| 388 | Example: |
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| 389 | sel = scan.get_selection() |
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| 390 | sel.set_ifs(0) # select IF 0 |
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| 391 | scan.set_selection(sel) # apply modified selection |
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[946] | 392 | """ |
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| 393 | return selector(self._getselection()) |
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| 394 | |
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[1576] | 395 | def set_selection(self, selection=None, **kw): |
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[946] | 396 | """ |
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[1005] | 397 | Select a subset of the data. All following operations on this scantable |
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| 398 | are only applied to thi selection. |
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| 399 | Parameters: |
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[1697] | 400 | selection: a selector object (default unset the selection), |
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| 401 | |
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| 402 | or |
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| 403 | |
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| 404 | any combination of |
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| 405 | "pols", "ifs", "beams", "scans", "cycles", "name", "query" |
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| 406 | |
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[1005] | 407 | Examples: |
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| 408 | sel = selector() # create a selection object |
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[1118] | 409 | self.set_scans([0, 3]) # select SCANNO 0 and 3 |
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[1005] | 410 | scan.set_selection(sel) # set the selection |
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| 411 | scan.summary() # will only print summary of scanno 0 an 3 |
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| 412 | scan.set_selection() # unset the selection |
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[1697] | 413 | # or the equivalent |
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| 414 | scan.set_selection(scans=[0,3]) |
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| 415 | scan.summary() # will only print summary of scanno 0 an 3 |
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| 416 | scan.set_selection() # unset the selection |
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[946] | 417 | """ |
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[1576] | 418 | if selection is None: |
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| 419 | # reset |
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| 420 | if len(kw) == 0: |
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| 421 | selection = selector() |
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| 422 | else: |
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| 423 | # try keywords |
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| 424 | for k in kw: |
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| 425 | if k not in selector.fields: |
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| 426 | raise KeyError("Invalid selection key '%s', valid keys are %s" % (k, selector.fields)) |
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| 427 | selection = selector(**kw) |
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[946] | 428 | self._setselection(selection) |
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| 429 | |
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[1819] | 430 | def get_row(self, row=0, insitu=None): |
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[102] | 431 | """ |
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[1819] | 432 | Select a row in the scantable. |
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| 433 | Return a scantable with single row. |
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| 434 | Parameters: |
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| 435 | row: row no of integration, default is 0. |
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| 436 | insitu: if False a new scantable is returned. |
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| 437 | Otherwise, the scaling is done in-situ |
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| 438 | The default is taken from .asaprc (False) |
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| 439 | """ |
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| 440 | if insitu is None: insitu = rcParams['insitu'] |
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| 441 | if not insitu: |
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| 442 | workscan = self.copy() |
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| 443 | else: |
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| 444 | workscan = self |
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| 445 | # Select a row |
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| 446 | sel=selector() |
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| 447 | sel.set_scans([workscan.getscan(row)]) |
---|
| 448 | sel.set_cycles([workscan.getcycle(row)]) |
---|
| 449 | sel.set_beams([workscan.getbeam(row)]) |
---|
| 450 | sel.set_ifs([workscan.getif(row)]) |
---|
| 451 | sel.set_polarisations([workscan.getpol(row)]) |
---|
| 452 | sel.set_name(workscan._getsourcename(row)) |
---|
| 453 | workscan.set_selection(sel) |
---|
| 454 | if not workscan.nrow() == 1: |
---|
| 455 | msg = "Cloud not identify single row. %d rows selected."%(workscan.nrow()) |
---|
| 456 | raise RuntimeError(msg) |
---|
| 457 | del sel |
---|
| 458 | if insitu: |
---|
| 459 | self._assign(workscan) |
---|
| 460 | else: |
---|
| 461 | return workscan |
---|
| 462 | |
---|
| 463 | #def stats(self, stat='stddev', mask=None): |
---|
| 464 | def stats(self, stat='stddev', mask=None, form='3.3f'): |
---|
| 465 | """ |
---|
[135] | 466 | Determine the specified statistic of the current beam/if/pol |
---|
[102] | 467 | Takes a 'mask' as an optional parameter to specify which |
---|
| 468 | channels should be excluded. |
---|
| 469 | Parameters: |
---|
[1819] | 470 | stat: 'min', 'max', 'min_abc', 'max_abc', 'sumsq', 'sum', |
---|
| 471 | 'mean', 'var', 'stddev', 'avdev', 'rms', 'median' |
---|
[135] | 472 | mask: an optional mask specifying where the statistic |
---|
[102] | 473 | should be determined. |
---|
[1819] | 474 | form: format string to print statistic values |
---|
[102] | 475 | Example: |
---|
[113] | 476 | scan.set_unit('channel') |
---|
[1118] | 477 | msk = scan.create_mask([100, 200], [500, 600]) |
---|
[135] | 478 | scan.stats(stat='mean', mask=m) |
---|
[102] | 479 | """ |
---|
[1593] | 480 | mask = mask or [] |
---|
[876] | 481 | if not self._check_ifs(): |
---|
[1118] | 482 | raise ValueError("Cannot apply mask as the IFs have different " |
---|
| 483 | "number of channels. Please use setselection() " |
---|
| 484 | "to select individual IFs") |
---|
[1819] | 485 | rtnabc = False |
---|
| 486 | if stat.lower().endswith('_abc'): rtnabc = True |
---|
| 487 | getchan = False |
---|
| 488 | if stat.lower().startswith('min') or stat.lower().startswith('max'): |
---|
| 489 | chan = self._math._minmaxchan(self, mask, stat) |
---|
| 490 | getchan = True |
---|
| 491 | statvals = [] |
---|
| 492 | if not rtnabc: statvals = self._math._stats(self, mask, stat) |
---|
[256] | 493 | |
---|
[1819] | 494 | #def cb(i): |
---|
| 495 | # return statvals[i] |
---|
[256] | 496 | |
---|
[1819] | 497 | #return self._row_callback(cb, stat) |
---|
[102] | 498 | |
---|
[1819] | 499 | label=stat |
---|
| 500 | #callback=cb |
---|
| 501 | out = "" |
---|
| 502 | #outvec = [] |
---|
| 503 | sep = '-'*50 |
---|
| 504 | for i in range(self.nrow()): |
---|
| 505 | refstr = '' |
---|
| 506 | statunit= '' |
---|
| 507 | if getchan: |
---|
| 508 | qx, qy = self.chan2data(rowno=i, chan=chan[i]) |
---|
| 509 | if rtnabc: |
---|
| 510 | statvals.append(qx['value']) |
---|
| 511 | refstr = ('(value: %'+form) % (qy['value'])+' ['+qy['unit']+'])' |
---|
| 512 | statunit= '['+qx['unit']+']' |
---|
| 513 | else: |
---|
| 514 | refstr = ('(@ %'+form) % (qx['value'])+' ['+qx['unit']+'])' |
---|
| 515 | |
---|
| 516 | tm = self._gettime(i) |
---|
| 517 | src = self._getsourcename(i) |
---|
| 518 | out += 'Scan[%d] (%s) ' % (self.getscan(i), src) |
---|
| 519 | out += 'Time[%s]:\n' % (tm) |
---|
| 520 | if self.nbeam(-1) > 1: |
---|
| 521 | out += ' Beam[%d] ' % (self.getbeam(i)) |
---|
| 522 | if self.nif(-1) > 1: out += ' IF[%d] ' % (self.getif(i)) |
---|
| 523 | if self.npol(-1) > 1: out += ' Pol[%d] ' % (self.getpol(i)) |
---|
| 524 | #outvec.append(callback(i)) |
---|
| 525 | #out += ('= %'+form) % (outvec[i]) +' '+refstr+'\n' |
---|
| 526 | out += ('= %'+form) % (statvals[i]) +' '+refstr+'\n' |
---|
| 527 | out += sep+"\n" |
---|
| 528 | |
---|
| 529 | if rcParams['verbose']: |
---|
| 530 | import os |
---|
| 531 | if os.environ.has_key( 'USER' ): |
---|
| 532 | usr=os.environ['USER'] |
---|
| 533 | else: |
---|
| 534 | import commands |
---|
| 535 | usr=commands.getoutput( 'whoami' ) |
---|
| 536 | tmpfile='/tmp/tmp_'+usr+'_casapy_asap_scantable_stats' |
---|
| 537 | f=open(tmpfile,'w') |
---|
| 538 | print >> f, sep |
---|
| 539 | print >> f, ' %s %s' % (label, statunit) |
---|
| 540 | print >> f, sep |
---|
| 541 | print >> f, out |
---|
| 542 | f.close() |
---|
| 543 | f=open(tmpfile,'r') |
---|
| 544 | x=f.readlines() |
---|
| 545 | f.close() |
---|
| 546 | blanc='' |
---|
| 547 | asaplog.push(blanc.join(x), False) |
---|
| 548 | #for xx in x: |
---|
| 549 | # asaplog.push( xx, False ) |
---|
| 550 | print_log() |
---|
| 551 | return statvals |
---|
| 552 | |
---|
| 553 | def chan2data(self, rowno=0, chan=0): |
---|
| 554 | """ |
---|
| 555 | Returns channel/frequency/velocity and spectral value |
---|
| 556 | at an arbitrary row and channel in the scantable. |
---|
| 557 | Parameters: |
---|
| 558 | rowno: a row number in the scantable. Default is the |
---|
| 559 | first row, i.e. rowno=0 |
---|
| 560 | chan: a channel in the scantable. Default is the first |
---|
| 561 | channel, i.e. pos=0 |
---|
| 562 | """ |
---|
| 563 | if isinstance(rowno, int) and isinstance(chan, int): |
---|
| 564 | qx = {'unit': self.get_unit(), |
---|
| 565 | 'value': self._getabcissa(rowno)[chan]} |
---|
| 566 | qy = {'unit': self.get_fluxunit(), |
---|
| 567 | 'value': self._getspectrum(rowno)[chan]} |
---|
| 568 | return qx, qy |
---|
| 569 | |
---|
[1118] | 570 | def stddev(self, mask=None): |
---|
[135] | 571 | """ |
---|
| 572 | Determine the standard deviation of the current beam/if/pol |
---|
| 573 | Takes a 'mask' as an optional parameter to specify which |
---|
| 574 | channels should be excluded. |
---|
| 575 | Parameters: |
---|
| 576 | mask: an optional mask specifying where the standard |
---|
| 577 | deviation should be determined. |
---|
| 578 | |
---|
| 579 | Example: |
---|
| 580 | scan.set_unit('channel') |
---|
[1118] | 581 | msk = scan.create_mask([100, 200], [500, 600]) |
---|
[135] | 582 | scan.stddev(mask=m) |
---|
| 583 | """ |
---|
[1118] | 584 | return self.stats(stat='stddev', mask=mask); |
---|
[135] | 585 | |
---|
[1003] | 586 | |
---|
[1259] | 587 | def get_column_names(self): |
---|
[1003] | 588 | """ |
---|
| 589 | Return a list of column names, which can be used for selection. |
---|
| 590 | """ |
---|
[1259] | 591 | return list(Scantable.get_column_names(self)) |
---|
[1003] | 592 | |
---|
[1730] | 593 | def get_tsys(self, row=-1): |
---|
[113] | 594 | """ |
---|
| 595 | Return the System temperatures. |
---|
| 596 | Returns: |
---|
[876] | 597 | a list of Tsys values for the current selection |
---|
[113] | 598 | """ |
---|
[1730] | 599 | if row > -1: |
---|
| 600 | return self._get_column(self._gettsys, row) |
---|
[876] | 601 | return self._row_callback(self._gettsys, "Tsys") |
---|
[256] | 602 | |
---|
[1730] | 603 | |
---|
| 604 | def get_weather(self, row=-1): |
---|
| 605 | values = self._get_column(self._get_weather, row) |
---|
| 606 | if row > -1: |
---|
| 607 | return {'temperature': values[0], |
---|
| 608 | 'pressure': values[1], 'humidity' : values[2], |
---|
| 609 | 'windspeed' : values[3], 'windaz' : values[4] |
---|
| 610 | } |
---|
| 611 | else: |
---|
| 612 | out = [] |
---|
| 613 | for r in values: |
---|
| 614 | |
---|
| 615 | out.append({'temperature': r[0], |
---|
| 616 | 'pressure': r[1], 'humidity' : r[2], |
---|
| 617 | 'windspeed' : r[3], 'windaz' : r[4] |
---|
| 618 | }) |
---|
| 619 | return out |
---|
| 620 | |
---|
[876] | 621 | def _row_callback(self, callback, label): |
---|
| 622 | out = "" |
---|
[1118] | 623 | outvec = [] |
---|
[1590] | 624 | sep = '-'*50 |
---|
[876] | 625 | for i in range(self.nrow()): |
---|
| 626 | tm = self._gettime(i) |
---|
| 627 | src = self._getsourcename(i) |
---|
[1590] | 628 | out += 'Scan[%d] (%s) ' % (self.getscan(i), src) |
---|
[876] | 629 | out += 'Time[%s]:\n' % (tm) |
---|
[1590] | 630 | if self.nbeam(-1) > 1: |
---|
| 631 | out += ' Beam[%d] ' % (self.getbeam(i)) |
---|
| 632 | if self.nif(-1) > 1: out += ' IF[%d] ' % (self.getif(i)) |
---|
| 633 | if self.npol(-1) > 1: out += ' Pol[%d] ' % (self.getpol(i)) |
---|
[876] | 634 | outvec.append(callback(i)) |
---|
| 635 | out += '= %3.3f\n' % (outvec[i]) |
---|
[1590] | 636 | out += sep+'\n' |
---|
[876] | 637 | if rcParams['verbose']: |
---|
[1819] | 638 | asaplog.push(sep) |
---|
| 639 | asaplog.push(" %s" % (label)) |
---|
| 640 | asaplog.push(sep) |
---|
| 641 | asaplog.push(out) |
---|
| 642 | print_log() |
---|
[1175] | 643 | return outvec |
---|
[256] | 644 | |
---|
[1070] | 645 | def _get_column(self, callback, row=-1): |
---|
| 646 | """ |
---|
| 647 | """ |
---|
| 648 | if row == -1: |
---|
| 649 | return [callback(i) for i in range(self.nrow())] |
---|
| 650 | else: |
---|
[1819] | 651 | if 0 <= row < self.nrow(): |
---|
[1070] | 652 | return callback(row) |
---|
[256] | 653 | |
---|
[1070] | 654 | |
---|
[1348] | 655 | def get_time(self, row=-1, asdatetime=False): |
---|
[113] | 656 | """ |
---|
| 657 | Get a list of time stamps for the observations. |
---|
[1348] | 658 | Return a datetime object for each integration time stamp in the scantable. |
---|
[113] | 659 | Parameters: |
---|
[1348] | 660 | row: row no of integration. Default -1 return all rows |
---|
| 661 | asdatetime: return values as datetime objects rather than strings |
---|
[113] | 662 | Example: |
---|
| 663 | none |
---|
| 664 | """ |
---|
[1175] | 665 | from time import strptime |
---|
| 666 | from datetime import datetime |
---|
[1392] | 667 | times = self._get_column(self._gettime, row) |
---|
[1348] | 668 | if not asdatetime: |
---|
[1392] | 669 | return times |
---|
[1175] | 670 | format = "%Y/%m/%d/%H:%M:%S" |
---|
| 671 | if isinstance(times, list): |
---|
| 672 | return [datetime(*strptime(i, format)[:6]) for i in times] |
---|
| 673 | else: |
---|
| 674 | return datetime(*strptime(times, format)[:6]) |
---|
[102] | 675 | |
---|
[1348] | 676 | |
---|
| 677 | def get_inttime(self, row=-1): |
---|
| 678 | """ |
---|
| 679 | Get a list of integration times for the observations. |
---|
| 680 | Return a time in seconds for each integration in the scantable. |
---|
| 681 | Parameters: |
---|
| 682 | row: row no of integration. Default -1 return all rows. |
---|
| 683 | Example: |
---|
| 684 | none |
---|
| 685 | """ |
---|
[1573] | 686 | return self._get_column(self._getinttime, row) |
---|
[1348] | 687 | |
---|
[1573] | 688 | |
---|
[714] | 689 | def get_sourcename(self, row=-1): |
---|
| 690 | """ |
---|
[794] | 691 | Get a list source names for the observations. |
---|
[714] | 692 | Return a string for each integration in the scantable. |
---|
| 693 | Parameters: |
---|
[1348] | 694 | row: row no of integration. Default -1 return all rows. |
---|
[714] | 695 | Example: |
---|
| 696 | none |
---|
| 697 | """ |
---|
[1070] | 698 | return self._get_column(self._getsourcename, row) |
---|
[714] | 699 | |
---|
[794] | 700 | def get_elevation(self, row=-1): |
---|
| 701 | """ |
---|
| 702 | Get a list of elevations for the observations. |
---|
| 703 | Return a float for each integration in the scantable. |
---|
| 704 | Parameters: |
---|
[1348] | 705 | row: row no of integration. Default -1 return all rows. |
---|
[794] | 706 | Example: |
---|
| 707 | none |
---|
| 708 | """ |
---|
[1070] | 709 | return self._get_column(self._getelevation, row) |
---|
[794] | 710 | |
---|
| 711 | def get_azimuth(self, row=-1): |
---|
| 712 | """ |
---|
| 713 | Get a list of azimuths for the observations. |
---|
| 714 | Return a float for each integration in the scantable. |
---|
| 715 | Parameters: |
---|
[1348] | 716 | row: row no of integration. Default -1 return all rows. |
---|
[794] | 717 | Example: |
---|
| 718 | none |
---|
| 719 | """ |
---|
[1070] | 720 | return self._get_column(self._getazimuth, row) |
---|
[794] | 721 | |
---|
| 722 | def get_parangle(self, row=-1): |
---|
| 723 | """ |
---|
| 724 | Get a list of parallactic angles for the observations. |
---|
| 725 | Return a float for each integration in the scantable. |
---|
| 726 | Parameters: |
---|
[1348] | 727 | row: row no of integration. Default -1 return all rows. |
---|
[794] | 728 | Example: |
---|
| 729 | none |
---|
| 730 | """ |
---|
[1070] | 731 | return self._get_column(self._getparangle, row) |
---|
[794] | 732 | |
---|
[1070] | 733 | def get_direction(self, row=-1): |
---|
| 734 | """ |
---|
| 735 | Get a list of Positions on the sky (direction) for the observations. |
---|
[1594] | 736 | Return a string for each integration in the scantable. |
---|
[1070] | 737 | Parameters: |
---|
| 738 | row: row no of integration. Default -1 return all rows |
---|
| 739 | Example: |
---|
| 740 | none |
---|
| 741 | """ |
---|
| 742 | return self._get_column(self._getdirection, row) |
---|
| 743 | |
---|
[1391] | 744 | def get_directionval(self, row=-1): |
---|
| 745 | """ |
---|
| 746 | Get a list of Positions on the sky (direction) for the observations. |
---|
| 747 | Return a float for each integration in the scantable. |
---|
| 748 | Parameters: |
---|
| 749 | row: row no of integration. Default -1 return all rows |
---|
| 750 | Example: |
---|
| 751 | none |
---|
| 752 | """ |
---|
| 753 | return self._get_column(self._getdirectionvec, row) |
---|
| 754 | |
---|
[1730] | 755 | @print_log_dec |
---|
[102] | 756 | def set_unit(self, unit='channel'): |
---|
| 757 | """ |
---|
| 758 | Set the unit for all following operations on this scantable |
---|
| 759 | Parameters: |
---|
| 760 | unit: optional unit, default is 'channel' |
---|
[1118] | 761 | one of '*Hz', 'km/s', 'channel', '' |
---|
[102] | 762 | """ |
---|
[484] | 763 | varlist = vars() |
---|
[1118] | 764 | if unit in ['', 'pixel', 'channel']: |
---|
[113] | 765 | unit = '' |
---|
| 766 | inf = list(self._getcoordinfo()) |
---|
| 767 | inf[0] = unit |
---|
| 768 | self._setcoordinfo(inf) |
---|
[1118] | 769 | self._add_history("set_unit", varlist) |
---|
[113] | 770 | |
---|
[1589] | 771 | @print_log_dec |
---|
[484] | 772 | def set_instrument(self, instr): |
---|
[358] | 773 | """ |
---|
[1348] | 774 | Set the instrument for subsequent processing. |
---|
[358] | 775 | Parameters: |
---|
[710] | 776 | instr: Select from 'ATPKSMB', 'ATPKSHOH', 'ATMOPRA', |
---|
[407] | 777 | 'DSS-43' (Tid), 'CEDUNA', and 'HOBART' |
---|
[358] | 778 | """ |
---|
| 779 | self._setInstrument(instr) |
---|
[1118] | 780 | self._add_history("set_instument", vars()) |
---|
[1819] | 781 | print_log() |
---|
[358] | 782 | |
---|
[1589] | 783 | @print_log_dec |
---|
[1190] | 784 | def set_feedtype(self, feedtype): |
---|
| 785 | """ |
---|
| 786 | Overwrite the feed type, which might not be set correctly. |
---|
| 787 | Parameters: |
---|
| 788 | feedtype: 'linear' or 'circular' |
---|
| 789 | """ |
---|
| 790 | self._setfeedtype(feedtype) |
---|
| 791 | self._add_history("set_feedtype", vars()) |
---|
[1819] | 792 | print_log() |
---|
[1190] | 793 | |
---|
[1589] | 794 | @print_log_dec |
---|
[276] | 795 | def set_doppler(self, doppler='RADIO'): |
---|
| 796 | """ |
---|
| 797 | Set the doppler for all following operations on this scantable. |
---|
| 798 | Parameters: |
---|
| 799 | doppler: One of 'RADIO', 'OPTICAL', 'Z', 'BETA', 'GAMMA' |
---|
| 800 | """ |
---|
[484] | 801 | varlist = vars() |
---|
[276] | 802 | inf = list(self._getcoordinfo()) |
---|
| 803 | inf[2] = doppler |
---|
| 804 | self._setcoordinfo(inf) |
---|
[1118] | 805 | self._add_history("set_doppler", vars()) |
---|
[1819] | 806 | print_log() |
---|
[710] | 807 | |
---|
[1589] | 808 | @print_log_dec |
---|
[226] | 809 | def set_freqframe(self, frame=None): |
---|
[113] | 810 | """ |
---|
| 811 | Set the frame type of the Spectral Axis. |
---|
| 812 | Parameters: |
---|
[591] | 813 | frame: an optional frame type, default 'LSRK'. Valid frames are: |
---|
[1819] | 814 | 'TOPO', 'LSRD', 'LSRK', 'BARY', |
---|
[1118] | 815 | 'GEO', 'GALACTO', 'LGROUP', 'CMB' |
---|
[113] | 816 | Examples: |
---|
| 817 | scan.set_freqframe('BARY') |
---|
| 818 | """ |
---|
[1593] | 819 | frame = frame or rcParams['scantable.freqframe'] |
---|
[484] | 820 | varlist = vars() |
---|
[1819] | 821 | # "REST" is not implemented in casacore |
---|
| 822 | #valid = ['REST', 'TOPO', 'LSRD', 'LSRK', 'BARY', \ |
---|
| 823 | # 'GEO', 'GALACTO', 'LGROUP', 'CMB'] |
---|
| 824 | valid = ['TOPO', 'LSRD', 'LSRK', 'BARY', \ |
---|
[1118] | 825 | 'GEO', 'GALACTO', 'LGROUP', 'CMB'] |
---|
[591] | 826 | |
---|
[989] | 827 | if frame in valid: |
---|
[113] | 828 | inf = list(self._getcoordinfo()) |
---|
| 829 | inf[1] = frame |
---|
| 830 | self._setcoordinfo(inf) |
---|
[1118] | 831 | self._add_history("set_freqframe", varlist) |
---|
[102] | 832 | else: |
---|
[1118] | 833 | msg = "Please specify a valid freq type. Valid types are:\n", valid |
---|
[718] | 834 | if rcParams['verbose']: |
---|
[1819] | 835 | #print msg |
---|
| 836 | asaplog.push( msg ) |
---|
| 837 | print_log( 'ERROR' ) |
---|
[718] | 838 | else: |
---|
| 839 | raise TypeError(msg) |
---|
[1819] | 840 | print_log() |
---|
[710] | 841 | |
---|
[989] | 842 | def set_dirframe(self, frame=""): |
---|
| 843 | """ |
---|
| 844 | Set the frame type of the Direction on the sky. |
---|
| 845 | Parameters: |
---|
| 846 | frame: an optional frame type, default ''. Valid frames are: |
---|
| 847 | 'J2000', 'B1950', 'GALACTIC' |
---|
| 848 | Examples: |
---|
| 849 | scan.set_dirframe('GALACTIC') |
---|
| 850 | """ |
---|
| 851 | varlist = vars() |
---|
| 852 | try: |
---|
| 853 | Scantable.set_dirframe(self, frame) |
---|
[1118] | 854 | except RuntimeError, msg: |
---|
[989] | 855 | if rcParams['verbose']: |
---|
[1819] | 856 | #print msg |
---|
| 857 | print_log() |
---|
| 858 | asaplog.push( str(msg) ) |
---|
| 859 | print_log( 'ERROR' ) |
---|
[989] | 860 | else: |
---|
| 861 | raise |
---|
[1118] | 862 | self._add_history("set_dirframe", varlist) |
---|
[989] | 863 | |
---|
[113] | 864 | def get_unit(self): |
---|
| 865 | """ |
---|
| 866 | Get the default unit set in this scantable |
---|
| 867 | Returns: |
---|
| 868 | A unit string |
---|
| 869 | """ |
---|
| 870 | inf = self._getcoordinfo() |
---|
| 871 | unit = inf[0] |
---|
| 872 | if unit == '': unit = 'channel' |
---|
| 873 | return unit |
---|
[102] | 874 | |
---|
[158] | 875 | def get_abcissa(self, rowno=0): |
---|
[102] | 876 | """ |
---|
[158] | 877 | Get the abcissa in the current coordinate setup for the currently |
---|
[113] | 878 | selected Beam/IF/Pol |
---|
| 879 | Parameters: |
---|
[226] | 880 | rowno: an optional row number in the scantable. Default is the |
---|
| 881 | first row, i.e. rowno=0 |
---|
[113] | 882 | Returns: |
---|
[1348] | 883 | The abcissa values and the format string (as a dictionary) |
---|
[113] | 884 | """ |
---|
[256] | 885 | abc = self._getabcissa(rowno) |
---|
[710] | 886 | lbl = self._getabcissalabel(rowno) |
---|
[1819] | 887 | print_log() |
---|
[158] | 888 | return abc, lbl |
---|
[113] | 889 | |
---|
[1819] | 890 | def flag(self, mask=None, unflag=False): |
---|
[1001] | 891 | """ |
---|
| 892 | Flag the selected data using an optional channel mask. |
---|
| 893 | Parameters: |
---|
| 894 | mask: an optional channel mask, created with create_mask. Default |
---|
| 895 | (no mask) is all channels. |
---|
[1819] | 896 | unflag: if True, unflag the data |
---|
[1001] | 897 | """ |
---|
| 898 | varlist = vars() |
---|
[1593] | 899 | mask = mask or [] |
---|
[1001] | 900 | try: |
---|
[1819] | 901 | self._flag(mask, unflag) |
---|
[1118] | 902 | except RuntimeError, msg: |
---|
[1001] | 903 | if rcParams['verbose']: |
---|
[1819] | 904 | #print msg |
---|
| 905 | print_log() |
---|
| 906 | asaplog.push( str(msg) ) |
---|
| 907 | print_log( 'ERROR' ) |
---|
[1001] | 908 | return |
---|
| 909 | else: raise |
---|
| 910 | self._add_history("flag", varlist) |
---|
| 911 | |
---|
[1819] | 912 | def flag_row(self, rows=[], unflag=False): |
---|
| 913 | """ |
---|
| 914 | Flag the selected data in row-based manner. |
---|
| 915 | Parameters: |
---|
| 916 | rows: list of row numbers to be flagged. Default is no row (must be explicitly specified to execute row-based flagging). |
---|
| 917 | unflag: if True, unflag the data. |
---|
| 918 | """ |
---|
| 919 | varlist = vars() |
---|
| 920 | try: |
---|
| 921 | self._flag_row(rows, unflag) |
---|
| 922 | except RuntimeError, msg: |
---|
| 923 | if rcParams['verbose']: |
---|
| 924 | print_log() |
---|
| 925 | asaplog.push( str(msg) ) |
---|
| 926 | print_log('ERROR') |
---|
| 927 | return |
---|
| 928 | else: raise |
---|
| 929 | self._add_history("flag_row", varlist) |
---|
| 930 | |
---|
| 931 | def clip(self, uthres=None, dthres=None, clipoutside=True, unflag=False): |
---|
| 932 | """ |
---|
| 933 | Flag the selected data outside a specified range (in channel-base) |
---|
| 934 | Parameters: |
---|
| 935 | uthres: upper threshold. |
---|
| 936 | dthres: lower threshold |
---|
| 937 | clipoutside: True for flagging data outside the range [dthres:uthres]. |
---|
| 938 | False for glagging data inside the range. |
---|
| 939 | unflag : if True, unflag the data. |
---|
| 940 | """ |
---|
| 941 | varlist = vars() |
---|
| 942 | try: |
---|
| 943 | self._clip(uthres, dthres, clipoutside, unflag) |
---|
| 944 | except RuntimeError, msg: |
---|
| 945 | if rcParams['verbose']: |
---|
| 946 | print_log() |
---|
| 947 | asaplog.push(str(msg)) |
---|
| 948 | print_log('ERROR') |
---|
| 949 | return |
---|
| 950 | else: raise |
---|
| 951 | self._add_history("clip", varlist) |
---|
| 952 | |
---|
[1589] | 953 | @print_log_dec |
---|
[1584] | 954 | def lag_flag(self, start, end, unit="MHz", insitu=None): |
---|
[1819] | 955 | #def lag_flag(self, frequency, width=0.0, unit="GHz", insitu=None): |
---|
[1192] | 956 | """ |
---|
| 957 | Flag the data in 'lag' space by providing a frequency to remove. |
---|
[1584] | 958 | Flagged data in the scantable gets interpolated over the region. |
---|
[1192] | 959 | No taper is applied. |
---|
| 960 | Parameters: |
---|
[1579] | 961 | start: the start frequency (really a period within the |
---|
| 962 | bandwidth) or period to remove |
---|
| 963 | end: the end frequency or period to remove |
---|
[1584] | 964 | unit: the frequency unit (default "MHz") or "" for |
---|
[1579] | 965 | explicit lag channels |
---|
[1203] | 966 | Notes: |
---|
[1579] | 967 | It is recommended to flag edges of the band or strong |
---|
[1348] | 968 | signals beforehand. |
---|
[1192] | 969 | """ |
---|
| 970 | if insitu is None: insitu = rcParams['insitu'] |
---|
| 971 | self._math._setinsitu(insitu) |
---|
| 972 | varlist = vars() |
---|
[1579] | 973 | base = { "GHz": 1000000000., "MHz": 1000000., "kHz": 1000., "Hz": 1.} |
---|
| 974 | if not (unit == "" or base.has_key(unit)): |
---|
[1192] | 975 | raise ValueError("%s is not a valid unit." % unit) |
---|
| 976 | try: |
---|
[1579] | 977 | if unit == "": |
---|
| 978 | s = scantable(self._math._lag_flag(self, start, end, "lags")) |
---|
| 979 | else: |
---|
| 980 | s = scantable(self._math._lag_flag(self, start*base[unit], |
---|
| 981 | end*base[unit], "frequency")) |
---|
[1192] | 982 | except RuntimeError, msg: |
---|
| 983 | if rcParams['verbose']: |
---|
[1819] | 984 | #print msg |
---|
| 985 | print_log() |
---|
| 986 | asaplog.push( str(msg) ) |
---|
| 987 | print_log( 'ERROR' ) |
---|
[1192] | 988 | return |
---|
| 989 | else: raise |
---|
| 990 | s._add_history("lag_flag", varlist) |
---|
[1819] | 991 | print_log() |
---|
[1192] | 992 | if insitu: |
---|
| 993 | self._assign(s) |
---|
| 994 | else: |
---|
| 995 | return s |
---|
[1001] | 996 | |
---|
[1589] | 997 | @print_log_dec |
---|
[113] | 998 | def create_mask(self, *args, **kwargs): |
---|
| 999 | """ |
---|
[1118] | 1000 | Compute and return a mask based on [min, max] windows. |
---|
[189] | 1001 | The specified windows are to be INCLUDED, when the mask is |
---|
[113] | 1002 | applied. |
---|
[102] | 1003 | Parameters: |
---|
[1118] | 1004 | [min, max], [min2, max2], ... |
---|
[1024] | 1005 | Pairs of start/end points (inclusive)specifying the regions |
---|
[102] | 1006 | to be masked |
---|
[189] | 1007 | invert: optional argument. If specified as True, |
---|
| 1008 | return an inverted mask, i.e. the regions |
---|
| 1009 | specified are EXCLUDED |
---|
[513] | 1010 | row: create the mask using the specified row for |
---|
| 1011 | unit conversions, default is row=0 |
---|
| 1012 | only necessary if frequency varies over rows. |
---|
[102] | 1013 | Example: |
---|
[113] | 1014 | scan.set_unit('channel') |
---|
| 1015 | a) |
---|
[1118] | 1016 | msk = scan.create_mask([400, 500], [800, 900]) |
---|
[189] | 1017 | # masks everything outside 400 and 500 |
---|
[113] | 1018 | # and 800 and 900 in the unit 'channel' |
---|
| 1019 | |
---|
| 1020 | b) |
---|
[1118] | 1021 | msk = scan.create_mask([400, 500], [800, 900], invert=True) |
---|
[189] | 1022 | # masks the regions between 400 and 500 |
---|
[113] | 1023 | # and 800 and 900 in the unit 'channel' |
---|
[1024] | 1024 | c) |
---|
| 1025 | mask only channel 400 |
---|
[1554] | 1026 | msk = scan.create_mask([400]) |
---|
[102] | 1027 | """ |
---|
[1554] | 1028 | row = kwargs.get("row", 0) |
---|
[513] | 1029 | data = self._getabcissa(row) |
---|
[113] | 1030 | u = self._getcoordinfo()[0] |
---|
[718] | 1031 | if rcParams['verbose']: |
---|
[113] | 1032 | if u == "": u = "channel" |
---|
[718] | 1033 | msg = "The current mask window unit is %s" % u |
---|
[1118] | 1034 | i = self._check_ifs() |
---|
| 1035 | if not i: |
---|
[876] | 1036 | msg += "\nThis mask is only valid for IF=%d" % (self.getif(i)) |
---|
[718] | 1037 | asaplog.push(msg) |
---|
[102] | 1038 | n = self.nchan() |
---|
[1295] | 1039 | msk = _n_bools(n, False) |
---|
[710] | 1040 | # test if args is a 'list' or a 'normal *args - UGLY!!! |
---|
| 1041 | |
---|
[1118] | 1042 | ws = (isinstance(args[-1][-1], int) or isinstance(args[-1][-1], float)) \ |
---|
| 1043 | and args or args[0] |
---|
[710] | 1044 | for window in ws: |
---|
[1554] | 1045 | if len(window) == 1: |
---|
| 1046 | window = [window[0], window[0]] |
---|
| 1047 | if len(window) == 0 or len(window) > 2: |
---|
| 1048 | raise ValueError("A window needs to be defined as [start(, end)]") |
---|
[1545] | 1049 | if window[0] > window[1]: |
---|
| 1050 | tmp = window[0] |
---|
| 1051 | window[0] = window[1] |
---|
| 1052 | window[1] = tmp |
---|
[102] | 1053 | for i in range(n): |
---|
[1024] | 1054 | if data[i] >= window[0] and data[i] <= window[1]: |
---|
[1295] | 1055 | msk[i] = True |
---|
[113] | 1056 | if kwargs.has_key('invert'): |
---|
| 1057 | if kwargs.get('invert'): |
---|
[1295] | 1058 | msk = mask_not(msk) |
---|
[1819] | 1059 | print_log() |
---|
[102] | 1060 | return msk |
---|
[710] | 1061 | |
---|
[1819] | 1062 | def get_masklist(self, mask=None, row=0): |
---|
[256] | 1063 | """ |
---|
[1819] | 1064 | Compute and return a list of mask windows, [min, max]. |
---|
| 1065 | Parameters: |
---|
| 1066 | mask: channel mask, created with create_mask. |
---|
| 1067 | row: calcutate the masklist using the specified row |
---|
| 1068 | for unit conversions, default is row=0 |
---|
| 1069 | only necessary if frequency varies over rows. |
---|
| 1070 | Returns: |
---|
| 1071 | [min, max], [min2, max2], ... |
---|
| 1072 | Pairs of start/end points (inclusive)specifying |
---|
| 1073 | the masked regions |
---|
| 1074 | """ |
---|
| 1075 | if not (isinstance(mask,list) or isinstance(mask, tuple)): |
---|
| 1076 | raise TypeError("The mask should be list or tuple.") |
---|
| 1077 | if len(mask) < 2: |
---|
| 1078 | raise TypeError("The mask elements should be > 1") |
---|
| 1079 | if self.nchan() != len(mask): |
---|
| 1080 | msg = "Number of channels in scantable != number of mask elements" |
---|
| 1081 | raise TypeError(msg) |
---|
| 1082 | data = self._getabcissa(row) |
---|
| 1083 | u = self._getcoordinfo()[0] |
---|
| 1084 | if rcParams['verbose']: |
---|
| 1085 | if u == "": u = "channel" |
---|
| 1086 | msg = "The current mask window unit is %s" % u |
---|
| 1087 | i = self._check_ifs() |
---|
| 1088 | if not i: |
---|
| 1089 | msg += "\nThis mask is only valid for IF=%d" % (self.getif(i)) |
---|
| 1090 | asaplog.push(msg) |
---|
| 1091 | masklist=[] |
---|
| 1092 | ist, ien = None, None |
---|
| 1093 | ist, ien=self.get_mask_indices(mask) |
---|
| 1094 | if ist is not None and ien is not None: |
---|
| 1095 | for i in xrange(len(ist)): |
---|
| 1096 | range=[data[ist[i]],data[ien[i]]] |
---|
| 1097 | range.sort() |
---|
| 1098 | masklist.append([range[0],range[1]]) |
---|
| 1099 | return masklist |
---|
| 1100 | |
---|
| 1101 | def get_mask_indices(self, mask=None): |
---|
| 1102 | """ |
---|
| 1103 | Compute and Return lists of mask start indices and mask end indices. |
---|
| 1104 | Parameters: |
---|
| 1105 | mask: channel mask, created with create_mask. |
---|
| 1106 | Returns: |
---|
| 1107 | List of mask start indices and that of mask end indices, |
---|
| 1108 | i.e., [istart1,istart2,....], [iend1,iend2,....]. |
---|
| 1109 | """ |
---|
| 1110 | if not (isinstance(mask,list) or isinstance(mask, tuple)): |
---|
| 1111 | raise TypeError("The mask should be list or tuple.") |
---|
| 1112 | if len(mask) < 2: |
---|
| 1113 | raise TypeError("The mask elements should be > 1") |
---|
| 1114 | istart=[] |
---|
| 1115 | iend=[] |
---|
| 1116 | if mask[0]: istart.append(0) |
---|
| 1117 | for i in range(len(mask)-1): |
---|
| 1118 | if not mask[i] and mask[i+1]: |
---|
| 1119 | istart.append(i+1) |
---|
| 1120 | elif mask[i] and not mask[i+1]: |
---|
| 1121 | iend.append(i) |
---|
| 1122 | if mask[len(mask)-1]: iend.append(len(mask)-1) |
---|
| 1123 | if len(istart) != len(iend): |
---|
| 1124 | raise RuntimeError("Numbers of mask start != mask end.") |
---|
| 1125 | for i in range(len(istart)): |
---|
| 1126 | if istart[i] > iend[i]: |
---|
| 1127 | raise RuntimeError("Mask start index > mask end index") |
---|
| 1128 | break |
---|
| 1129 | return istart,iend |
---|
| 1130 | |
---|
| 1131 | # def get_restfreqs(self): |
---|
| 1132 | # """ |
---|
| 1133 | # Get the restfrequency(s) stored in this scantable. |
---|
| 1134 | # The return value(s) are always of unit 'Hz' |
---|
| 1135 | # Parameters: |
---|
| 1136 | # none |
---|
| 1137 | # Returns: |
---|
| 1138 | # a list of doubles |
---|
| 1139 | # """ |
---|
| 1140 | # return list(self._getrestfreqs()) |
---|
| 1141 | |
---|
| 1142 | def get_restfreqs(self, ids=None): |
---|
| 1143 | """ |
---|
[256] | 1144 | Get the restfrequency(s) stored in this scantable. |
---|
| 1145 | The return value(s) are always of unit 'Hz' |
---|
| 1146 | Parameters: |
---|
[1819] | 1147 | ids: (optional) a list of MOLECULE_ID for that restfrequency(s) to |
---|
| 1148 | be retrieved |
---|
[256] | 1149 | Returns: |
---|
[1819] | 1150 | dictionary containing ids and a list of doubles for each id |
---|
[256] | 1151 | """ |
---|
[1819] | 1152 | if ids is None: |
---|
| 1153 | rfreqs={} |
---|
| 1154 | idlist = self.getmolnos() |
---|
| 1155 | for i in idlist: |
---|
| 1156 | rfreqs[i]=list(self._getrestfreqs(i)) |
---|
| 1157 | return rfreqs |
---|
| 1158 | else: |
---|
| 1159 | if type(ids)==list or type(ids)==tuple: |
---|
| 1160 | rfreqs={} |
---|
| 1161 | for i in ids: |
---|
| 1162 | rfreqs[i]=list(self._getrestfreqs(i)) |
---|
| 1163 | return rfreqs |
---|
| 1164 | else: |
---|
| 1165 | return list(self._getrestfreqs(ids)) |
---|
| 1166 | #return list(self._getrestfreqs(ids)) |
---|
[102] | 1167 | |
---|
[931] | 1168 | def set_restfreqs(self, freqs=None, unit='Hz'): |
---|
| 1169 | """ |
---|
[1819] | 1170 | ********NEED TO BE UPDATED begin************ |
---|
[931] | 1171 | Set or replace the restfrequency specified and |
---|
| 1172 | If the 'freqs' argument holds a scalar, |
---|
| 1173 | then that rest frequency will be applied to all the selected |
---|
| 1174 | data. If the 'freqs' argument holds |
---|
| 1175 | a vector, then it MUST be of equal or smaller length than |
---|
| 1176 | the number of IFs (and the available restfrequencies will be |
---|
| 1177 | replaced by this vector). In this case, *all* data have |
---|
| 1178 | the restfrequency set per IF according |
---|
| 1179 | to the corresponding value you give in the 'freqs' vector. |
---|
[1118] | 1180 | E.g. 'freqs=[1e9, 2e9]' would mean IF 0 gets restfreq 1e9 and |
---|
[931] | 1181 | IF 1 gets restfreq 2e9. |
---|
[1819] | 1182 | ********NEED TO BE UPDATED end************ |
---|
[1395] | 1183 | You can also specify the frequencies via a linecatalog. |
---|
[1153] | 1184 | |
---|
[931] | 1185 | Parameters: |
---|
| 1186 | freqs: list of rest frequency values or string idenitfiers |
---|
| 1187 | unit: unit for rest frequency (default 'Hz') |
---|
[402] | 1188 | |
---|
[931] | 1189 | Example: |
---|
[1819] | 1190 | # set the given restfrequency for the all currently selected IFs |
---|
[931] | 1191 | scan.set_restfreqs(freqs=1.4e9) |
---|
[1819] | 1192 | # set multiple restfrequencies to all the selected data |
---|
| 1193 | scan.set_restfreqs(freqs=[1.4e9, 1.41e9, 1.42e9]) |
---|
| 1194 | # If the number of IFs in the data is >= 2 the IF0 gets the first |
---|
| 1195 | # value IF1 the second... NOTE that freqs needs to be |
---|
| 1196 | # specified in list of list (e.g. [[],[],...] ). |
---|
| 1197 | scan.set_restfreqs(freqs=[[1.4e9],[1.67e9]]) |
---|
[931] | 1198 | #set the given restfrequency for the whole table (by name) |
---|
| 1199 | scan.set_restfreqs(freqs="OH1667") |
---|
[391] | 1200 | |
---|
[931] | 1201 | Note: |
---|
| 1202 | To do more sophisticate Restfrequency setting, e.g. on a |
---|
| 1203 | source and IF basis, use scantable.set_selection() before using |
---|
| 1204 | this function. |
---|
[1593] | 1205 | # provide your scantable is called scan |
---|
[931] | 1206 | selection = selector() |
---|
| 1207 | selection.set_name("ORION*") |
---|
| 1208 | selection.set_ifs([1]) |
---|
| 1209 | scan.set_selection(selection) |
---|
| 1210 | scan.set_restfreqs(freqs=86.6e9) |
---|
| 1211 | |
---|
| 1212 | """ |
---|
| 1213 | varlist = vars() |
---|
[1157] | 1214 | from asap import linecatalog |
---|
| 1215 | # simple value |
---|
[1118] | 1216 | if isinstance(freqs, int) or isinstance(freqs, float): |
---|
[1819] | 1217 | # TT mod |
---|
| 1218 | #self._setrestfreqs(freqs, "",unit) |
---|
| 1219 | self._setrestfreqs([freqs], [""],unit) |
---|
[1157] | 1220 | # list of values |
---|
[1118] | 1221 | elif isinstance(freqs, list) or isinstance(freqs, tuple): |
---|
[1157] | 1222 | # list values are scalars |
---|
[1118] | 1223 | if isinstance(freqs[-1], int) or isinstance(freqs[-1], float): |
---|
[1819] | 1224 | self._setrestfreqs(freqs, [""], unit) |
---|
[1157] | 1225 | # list values are tuples, (value, name) |
---|
| 1226 | elif isinstance(freqs[-1], dict): |
---|
[1819] | 1227 | #sel = selector() |
---|
| 1228 | #savesel = self._getselection() |
---|
| 1229 | #iflist = self.getifnos() |
---|
| 1230 | #for i in xrange(len(freqs)): |
---|
| 1231 | # sel.set_ifs(iflist[i]) |
---|
| 1232 | # self._setselection(sel) |
---|
| 1233 | # self._setrestfreqs(freqs[i], "",unit) |
---|
| 1234 | #self._setselection(savesel) |
---|
| 1235 | self._setrestfreqs(freqs["value"], |
---|
| 1236 | freqs["name"], unit) |
---|
| 1237 | elif isinstance(freqs[-1], list) or isinstance(freqs[-1], tuple): |
---|
[1157] | 1238 | sel = selector() |
---|
| 1239 | savesel = self._getselection() |
---|
[1322] | 1240 | iflist = self.getifnos() |
---|
[1819] | 1241 | if len(freqs)>len(iflist): |
---|
| 1242 | raise ValueError("number of elements in list of list exeeds the current IF selections") |
---|
[1157] | 1243 | for i in xrange(len(freqs)): |
---|
[1322] | 1244 | sel.set_ifs(iflist[i]) |
---|
[1259] | 1245 | self._setselection(sel) |
---|
[1819] | 1246 | self._setrestfreqs(freqs[i], [""], unit) |
---|
[1157] | 1247 | self._setselection(savesel) |
---|
| 1248 | # freqs are to be taken from a linecatalog |
---|
[1153] | 1249 | elif isinstance(freqs, linecatalog): |
---|
| 1250 | sel = selector() |
---|
| 1251 | savesel = self._getselection() |
---|
| 1252 | for i in xrange(freqs.nrow()): |
---|
[1322] | 1253 | sel.set_ifs(iflist[i]) |
---|
[1153] | 1254 | self._setselection(sel) |
---|
| 1255 | self._setrestfreqs(freqs.get_frequency(i), |
---|
| 1256 | freqs.get_name(i), "MHz") |
---|
| 1257 | # ensure that we are not iterating past nIF |
---|
| 1258 | if i == self.nif()-1: break |
---|
| 1259 | self._setselection(savesel) |
---|
[931] | 1260 | else: |
---|
| 1261 | return |
---|
| 1262 | self._add_history("set_restfreqs", varlist) |
---|
| 1263 | |
---|
[1360] | 1264 | def shift_refpix(self, delta): |
---|
[1589] | 1265 | """ |
---|
| 1266 | Shift the reference pixel of the Spectra Coordinate by an |
---|
| 1267 | integer amount. |
---|
| 1268 | Parameters: |
---|
| 1269 | delta: the amount to shift by |
---|
[1360] | 1270 | Note: |
---|
[1589] | 1271 | Be careful using this with broadband data. |
---|
[1360] | 1272 | """ |
---|
[1731] | 1273 | Scantable.shift_refpix(self, delta) |
---|
[931] | 1274 | |
---|
[1259] | 1275 | def history(self, filename=None): |
---|
| 1276 | """ |
---|
| 1277 | Print the history. Optionally to a file. |
---|
[1348] | 1278 | Parameters: |
---|
| 1279 | filename: The name of the file to save the history to. |
---|
[1259] | 1280 | """ |
---|
[484] | 1281 | hist = list(self._gethistory()) |
---|
[794] | 1282 | out = "-"*80 |
---|
[484] | 1283 | for h in hist: |
---|
[489] | 1284 | if h.startswith("---"): |
---|
[794] | 1285 | out += "\n"+h |
---|
[489] | 1286 | else: |
---|
| 1287 | items = h.split("##") |
---|
| 1288 | date = items[0] |
---|
| 1289 | func = items[1] |
---|
| 1290 | items = items[2:] |
---|
[794] | 1291 | out += "\n"+date+"\n" |
---|
| 1292 | out += "Function: %s\n Parameters:" % (func) |
---|
[489] | 1293 | for i in items: |
---|
| 1294 | s = i.split("=") |
---|
[1118] | 1295 | out += "\n %s = %s" % (s[0], s[1]) |
---|
[794] | 1296 | out += "\n"+"-"*80 |
---|
[1259] | 1297 | if filename is not None: |
---|
| 1298 | if filename is "": |
---|
| 1299 | filename = 'scantable_history.txt' |
---|
| 1300 | import os |
---|
| 1301 | filename = os.path.expandvars(os.path.expanduser(filename)) |
---|
| 1302 | if not os.path.isdir(filename): |
---|
| 1303 | data = open(filename, 'w') |
---|
| 1304 | data.write(out) |
---|
| 1305 | data.close() |
---|
| 1306 | else: |
---|
| 1307 | msg = "Illegal file name '%s'." % (filename) |
---|
| 1308 | if rcParams['verbose']: |
---|
[1819] | 1309 | #print msg |
---|
| 1310 | asaplog.push( msg ) |
---|
| 1311 | print_log( 'ERROR' ) |
---|
[1259] | 1312 | else: |
---|
| 1313 | raise IOError(msg) |
---|
| 1314 | if rcParams['verbose']: |
---|
| 1315 | try: |
---|
| 1316 | from IPython.genutils import page as pager |
---|
| 1317 | except ImportError: |
---|
| 1318 | from pydoc import pager |
---|
| 1319 | pager(out) |
---|
| 1320 | else: |
---|
| 1321 | return out |
---|
[484] | 1322 | return |
---|
[513] | 1323 | # |
---|
| 1324 | # Maths business |
---|
| 1325 | # |
---|
[1589] | 1326 | @print_log_dec |
---|
[931] | 1327 | def average_time(self, mask=None, scanav=False, weight='tint', align=False): |
---|
[513] | 1328 | """ |
---|
[1070] | 1329 | Return the (time) weighted average of a scan. |
---|
[513] | 1330 | Note: |
---|
[1070] | 1331 | in channels only - align if necessary |
---|
[513] | 1332 | Parameters: |
---|
| 1333 | mask: an optional mask (only used for 'var' and 'tsys' |
---|
| 1334 | weighting) |
---|
[558] | 1335 | scanav: True averages each scan separately |
---|
| 1336 | False (default) averages all scans together, |
---|
[1099] | 1337 | weight: Weighting scheme. |
---|
| 1338 | 'none' (mean no weight) |
---|
| 1339 | 'var' (1/var(spec) weighted) |
---|
| 1340 | 'tsys' (1/Tsys**2 weighted) |
---|
| 1341 | 'tint' (integration time weighted) |
---|
| 1342 | 'tintsys' (Tint/Tsys**2) |
---|
| 1343 | 'median' ( median averaging) |
---|
[535] | 1344 | The default is 'tint' |
---|
[931] | 1345 | align: align the spectra in velocity before averaging. It takes |
---|
| 1346 | the time of the first spectrum as reference time. |
---|
[513] | 1347 | Example: |
---|
| 1348 | # time average the scantable without using a mask |
---|
[710] | 1349 | newscan = scan.average_time() |
---|
[513] | 1350 | """ |
---|
| 1351 | varlist = vars() |
---|
[1593] | 1352 | weight = weight or 'TINT' |
---|
| 1353 | mask = mask or () |
---|
| 1354 | scanav = (scanav and 'SCAN') or 'NONE' |
---|
[1118] | 1355 | scan = (self, ) |
---|
[989] | 1356 | try: |
---|
[1118] | 1357 | if align: |
---|
| 1358 | scan = (self.freq_align(insitu=False), ) |
---|
| 1359 | s = None |
---|
| 1360 | if weight.upper() == 'MEDIAN': |
---|
| 1361 | s = scantable(self._math._averagechannel(scan[0], 'MEDIAN', |
---|
| 1362 | scanav)) |
---|
| 1363 | else: |
---|
| 1364 | s = scantable(self._math._average(scan, mask, weight.upper(), |
---|
| 1365 | scanav)) |
---|
| 1366 | except RuntimeError, msg: |
---|
[989] | 1367 | if rcParams['verbose']: |
---|
[1819] | 1368 | #print msg |
---|
| 1369 | print_log() |
---|
| 1370 | asaplog.push( str(msg) ) |
---|
| 1371 | print_log( 'ERROR' ) |
---|
[989] | 1372 | return |
---|
| 1373 | else: raise |
---|
[1099] | 1374 | s._add_history("average_time", varlist) |
---|
[1819] | 1375 | print_log() |
---|
[513] | 1376 | return s |
---|
[710] | 1377 | |
---|
[1589] | 1378 | @print_log_dec |
---|
[876] | 1379 | def convert_flux(self, jyperk=None, eta=None, d=None, insitu=None): |
---|
[513] | 1380 | """ |
---|
| 1381 | Return a scan where all spectra are converted to either |
---|
| 1382 | Jansky or Kelvin depending upon the flux units of the scan table. |
---|
| 1383 | By default the function tries to look the values up internally. |
---|
| 1384 | If it can't find them (or if you want to over-ride), you must |
---|
| 1385 | specify EITHER jyperk OR eta (and D which it will try to look up |
---|
| 1386 | also if you don't set it). jyperk takes precedence if you set both. |
---|
| 1387 | Parameters: |
---|
| 1388 | jyperk: the Jy / K conversion factor |
---|
| 1389 | eta: the aperture efficiency |
---|
| 1390 | d: the geomtric diameter (metres) |
---|
| 1391 | insitu: if False a new scantable is returned. |
---|
| 1392 | Otherwise, the scaling is done in-situ |
---|
| 1393 | The default is taken from .asaprc (False) |
---|
| 1394 | """ |
---|
| 1395 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 1396 | self._math._setinsitu(insitu) |
---|
[513] | 1397 | varlist = vars() |
---|
[1593] | 1398 | jyperk = jyperk or -1.0 |
---|
| 1399 | d = d or -1.0 |
---|
| 1400 | eta = eta or -1.0 |
---|
[876] | 1401 | s = scantable(self._math._convertflux(self, d, eta, jyperk)) |
---|
| 1402 | s._add_history("convert_flux", varlist) |
---|
[1819] | 1403 | print_log() |
---|
[876] | 1404 | if insitu: self._assign(s) |
---|
| 1405 | else: return s |
---|
[513] | 1406 | |
---|
[1589] | 1407 | @print_log_dec |
---|
[876] | 1408 | def gain_el(self, poly=None, filename="", method="linear", insitu=None): |
---|
[513] | 1409 | """ |
---|
| 1410 | Return a scan after applying a gain-elevation correction. |
---|
| 1411 | The correction can be made via either a polynomial or a |
---|
| 1412 | table-based interpolation (and extrapolation if necessary). |
---|
| 1413 | You specify polynomial coefficients, an ascii table or neither. |
---|
| 1414 | If you specify neither, then a polynomial correction will be made |
---|
| 1415 | with built in coefficients known for certain telescopes (an error |
---|
| 1416 | will occur if the instrument is not known). |
---|
| 1417 | The data and Tsys are *divided* by the scaling factors. |
---|
| 1418 | Parameters: |
---|
| 1419 | poly: Polynomial coefficients (default None) to compute a |
---|
| 1420 | gain-elevation correction as a function of |
---|
| 1421 | elevation (in degrees). |
---|
| 1422 | filename: The name of an ascii file holding correction factors. |
---|
| 1423 | The first row of the ascii file must give the column |
---|
| 1424 | names and these MUST include columns |
---|
| 1425 | "ELEVATION" (degrees) and "FACTOR" (multiply data |
---|
| 1426 | by this) somewhere. |
---|
| 1427 | The second row must give the data type of the |
---|
| 1428 | column. Use 'R' for Real and 'I' for Integer. |
---|
| 1429 | An example file would be |
---|
| 1430 | (actual factors are arbitrary) : |
---|
| 1431 | |
---|
| 1432 | TIME ELEVATION FACTOR |
---|
| 1433 | R R R |
---|
| 1434 | 0.1 0 0.8 |
---|
| 1435 | 0.2 20 0.85 |
---|
| 1436 | 0.3 40 0.9 |
---|
| 1437 | 0.4 60 0.85 |
---|
| 1438 | 0.5 80 0.8 |
---|
| 1439 | 0.6 90 0.75 |
---|
| 1440 | method: Interpolation method when correcting from a table. |
---|
| 1441 | Values are "nearest", "linear" (default), "cubic" |
---|
| 1442 | and "spline" |
---|
| 1443 | insitu: if False a new scantable is returned. |
---|
| 1444 | Otherwise, the scaling is done in-situ |
---|
| 1445 | The default is taken from .asaprc (False) |
---|
| 1446 | """ |
---|
| 1447 | |
---|
| 1448 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 1449 | self._math._setinsitu(insitu) |
---|
[513] | 1450 | varlist = vars() |
---|
[1593] | 1451 | poly = poly or () |
---|
[513] | 1452 | from os.path import expandvars |
---|
| 1453 | filename = expandvars(filename) |
---|
[876] | 1454 | s = scantable(self._math._gainel(self, poly, filename, method)) |
---|
| 1455 | s._add_history("gain_el", varlist) |
---|
[1819] | 1456 | print_log() |
---|
[1593] | 1457 | if insitu: |
---|
| 1458 | self._assign(s) |
---|
| 1459 | else: |
---|
| 1460 | return s |
---|
[710] | 1461 | |
---|
[1589] | 1462 | @print_log_dec |
---|
[931] | 1463 | def freq_align(self, reftime=None, method='cubic', insitu=None): |
---|
[513] | 1464 | """ |
---|
| 1465 | Return a scan where all rows have been aligned in frequency/velocity. |
---|
| 1466 | The alignment frequency frame (e.g. LSRK) is that set by function |
---|
| 1467 | set_freqframe. |
---|
| 1468 | Parameters: |
---|
| 1469 | reftime: reference time to align at. By default, the time of |
---|
| 1470 | the first row of data is used. |
---|
| 1471 | method: Interpolation method for regridding the spectra. |
---|
| 1472 | Choose from "nearest", "linear", "cubic" (default) |
---|
| 1473 | and "spline" |
---|
| 1474 | insitu: if False a new scantable is returned. |
---|
| 1475 | Otherwise, the scaling is done in-situ |
---|
| 1476 | The default is taken from .asaprc (False) |
---|
| 1477 | """ |
---|
[931] | 1478 | if insitu is None: insitu = rcParams["insitu"] |
---|
[876] | 1479 | self._math._setinsitu(insitu) |
---|
[513] | 1480 | varlist = vars() |
---|
[1593] | 1481 | reftime = reftime or "" |
---|
[931] | 1482 | s = scantable(self._math._freq_align(self, reftime, method)) |
---|
[876] | 1483 | s._add_history("freq_align", varlist) |
---|
[1819] | 1484 | print_log() |
---|
[876] | 1485 | if insitu: self._assign(s) |
---|
| 1486 | else: return s |
---|
[513] | 1487 | |
---|
[1589] | 1488 | @print_log_dec |
---|
[1725] | 1489 | def opacity(self, tau=None, insitu=None): |
---|
[513] | 1490 | """ |
---|
| 1491 | Apply an opacity correction. The data |
---|
| 1492 | and Tsys are multiplied by the correction factor. |
---|
| 1493 | Parameters: |
---|
[1689] | 1494 | tau: (list of) opacity from which the correction factor is |
---|
[513] | 1495 | exp(tau*ZD) |
---|
[1689] | 1496 | where ZD is the zenith-distance. |
---|
| 1497 | If a list is provided, it has to be of length nIF, |
---|
| 1498 | nIF*nPol or 1 and in order of IF/POL, e.g. |
---|
| 1499 | [opif0pol0, opif0pol1, opif1pol0 ...] |
---|
[1725] | 1500 | if tau is `None` the opacities are determined from a |
---|
| 1501 | model. |
---|
[513] | 1502 | insitu: if False a new scantable is returned. |
---|
| 1503 | Otherwise, the scaling is done in-situ |
---|
| 1504 | The default is taken from .asaprc (False) |
---|
| 1505 | """ |
---|
| 1506 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 1507 | self._math._setinsitu(insitu) |
---|
[513] | 1508 | varlist = vars() |
---|
[1689] | 1509 | if not hasattr(tau, "__len__"): |
---|
| 1510 | tau = [tau] |
---|
[876] | 1511 | s = scantable(self._math._opacity(self, tau)) |
---|
| 1512 | s._add_history("opacity", varlist) |
---|
[1819] | 1513 | print_log() |
---|
[876] | 1514 | if insitu: self._assign(s) |
---|
| 1515 | else: return s |
---|
[513] | 1516 | |
---|
[1589] | 1517 | @print_log_dec |
---|
[513] | 1518 | def bin(self, width=5, insitu=None): |
---|
| 1519 | """ |
---|
| 1520 | Return a scan where all spectra have been binned up. |
---|
[1348] | 1521 | Parameters: |
---|
[513] | 1522 | width: The bin width (default=5) in pixels |
---|
| 1523 | insitu: if False a new scantable is returned. |
---|
| 1524 | Otherwise, the scaling is done in-situ |
---|
| 1525 | The default is taken from .asaprc (False) |
---|
| 1526 | """ |
---|
| 1527 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 1528 | self._math._setinsitu(insitu) |
---|
[513] | 1529 | varlist = vars() |
---|
[876] | 1530 | s = scantable(self._math._bin(self, width)) |
---|
[1118] | 1531 | s._add_history("bin", varlist) |
---|
[1819] | 1532 | print_log() |
---|
[1589] | 1533 | if insitu: |
---|
| 1534 | self._assign(s) |
---|
| 1535 | else: |
---|
| 1536 | return s |
---|
[513] | 1537 | |
---|
[1589] | 1538 | @print_log_dec |
---|
[513] | 1539 | def resample(self, width=5, method='cubic', insitu=None): |
---|
| 1540 | """ |
---|
[1348] | 1541 | Return a scan where all spectra have been binned up. |
---|
[1573] | 1542 | |
---|
[1348] | 1543 | Parameters: |
---|
[513] | 1544 | width: The bin width (default=5) in pixels |
---|
| 1545 | method: Interpolation method when correcting from a table. |
---|
| 1546 | Values are "nearest", "linear", "cubic" (default) |
---|
| 1547 | and "spline" |
---|
| 1548 | insitu: if False a new scantable is returned. |
---|
| 1549 | Otherwise, the scaling is done in-situ |
---|
| 1550 | The default is taken from .asaprc (False) |
---|
| 1551 | """ |
---|
| 1552 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 1553 | self._math._setinsitu(insitu) |
---|
[513] | 1554 | varlist = vars() |
---|
[876] | 1555 | s = scantable(self._math._resample(self, method, width)) |
---|
[1118] | 1556 | s._add_history("resample", varlist) |
---|
[1819] | 1557 | print_log() |
---|
[876] | 1558 | if insitu: self._assign(s) |
---|
| 1559 | else: return s |
---|
[513] | 1560 | |
---|
[1589] | 1561 | @print_log_dec |
---|
[946] | 1562 | def average_pol(self, mask=None, weight='none'): |
---|
| 1563 | """ |
---|
| 1564 | Average the Polarisations together. |
---|
| 1565 | Parameters: |
---|
| 1566 | mask: An optional mask defining the region, where the |
---|
| 1567 | averaging will be applied. The output will have all |
---|
| 1568 | specified points masked. |
---|
| 1569 | weight: Weighting scheme. 'none' (default), 'var' (1/var(spec) |
---|
| 1570 | weighted), or 'tsys' (1/Tsys**2 weighted) |
---|
| 1571 | """ |
---|
| 1572 | varlist = vars() |
---|
[1593] | 1573 | mask = mask or () |
---|
[1010] | 1574 | s = scantable(self._math._averagepol(self, mask, weight.upper())) |
---|
[1118] | 1575 | s._add_history("average_pol", varlist) |
---|
[1819] | 1576 | print_log() |
---|
[992] | 1577 | return s |
---|
[513] | 1578 | |
---|
[1589] | 1579 | @print_log_dec |
---|
[1145] | 1580 | def average_beam(self, mask=None, weight='none'): |
---|
| 1581 | """ |
---|
| 1582 | Average the Beams together. |
---|
| 1583 | Parameters: |
---|
| 1584 | mask: An optional mask defining the region, where the |
---|
| 1585 | averaging will be applied. The output will have all |
---|
| 1586 | specified points masked. |
---|
| 1587 | weight: Weighting scheme. 'none' (default), 'var' (1/var(spec) |
---|
| 1588 | weighted), or 'tsys' (1/Tsys**2 weighted) |
---|
| 1589 | """ |
---|
| 1590 | varlist = vars() |
---|
[1593] | 1591 | mask = mask or () |
---|
[1145] | 1592 | s = scantable(self._math._averagebeams(self, mask, weight.upper())) |
---|
| 1593 | s._add_history("average_beam", varlist) |
---|
[1819] | 1594 | print_log() |
---|
[1145] | 1595 | return s |
---|
| 1596 | |
---|
[1586] | 1597 | def parallactify(self, pflag): |
---|
[1617] | 1598 | """ |
---|
| 1599 | Set a flag to inidcate whether this data should be treated as having |
---|
| 1600 | been 'parallactified' (total phase == 0.0) |
---|
| 1601 | Parameters: |
---|
| 1602 | pflag: Bool inidcating whether to turn this on (True) or |
---|
| 1603 | off (False) |
---|
| 1604 | """ |
---|
[1586] | 1605 | varlist = vars() |
---|
| 1606 | self._parallactify(pflag) |
---|
| 1607 | self._add_history("parallactify", varlist) |
---|
| 1608 | |
---|
[1589] | 1609 | @print_log_dec |
---|
[992] | 1610 | def convert_pol(self, poltype=None): |
---|
| 1611 | """ |
---|
| 1612 | Convert the data to a different polarisation type. |
---|
[1565] | 1613 | Note that you will need cross-polarisation terms for most conversions. |
---|
[992] | 1614 | Parameters: |
---|
| 1615 | poltype: The new polarisation type. Valid types are: |
---|
[1565] | 1616 | "linear", "circular", "stokes" and "linpol" |
---|
[992] | 1617 | """ |
---|
| 1618 | varlist = vars() |
---|
| 1619 | try: |
---|
| 1620 | s = scantable(self._math._convertpol(self, poltype)) |
---|
[1118] | 1621 | except RuntimeError, msg: |
---|
[992] | 1622 | if rcParams['verbose']: |
---|
[1819] | 1623 | #print msg |
---|
| 1624 | print_log() |
---|
| 1625 | asaplog.push( str(msg) ) |
---|
| 1626 | print_log( 'ERROR' ) |
---|
[1118] | 1627 | return |
---|
[992] | 1628 | else: |
---|
| 1629 | raise |
---|
[1118] | 1630 | s._add_history("convert_pol", varlist) |
---|
[1819] | 1631 | print_log() |
---|
[992] | 1632 | return s |
---|
| 1633 | |
---|
[1589] | 1634 | @print_log_dec |
---|
[1819] | 1635 | def smooth(self, kernel="hanning", width=5.0, order=2, plot=False, insitu=None): |
---|
[513] | 1636 | """ |
---|
| 1637 | Smooth the spectrum by the specified kernel (conserving flux). |
---|
| 1638 | Parameters: |
---|
| 1639 | kernel: The type of smoothing kernel. Select from |
---|
[1574] | 1640 | 'hanning' (default), 'gaussian', 'boxcar', 'rmedian' |
---|
| 1641 | or 'poly' |
---|
[513] | 1642 | width: The width of the kernel in pixels. For hanning this is |
---|
| 1643 | ignored otherwise it defauls to 5 pixels. |
---|
| 1644 | For 'gaussian' it is the Full Width Half |
---|
| 1645 | Maximum. For 'boxcar' it is the full width. |
---|
[1574] | 1646 | For 'rmedian' and 'poly' it is the half width. |
---|
| 1647 | order: Optional parameter for 'poly' kernel (default is 2), to |
---|
| 1648 | specify the order of the polnomial. Ignored by all other |
---|
| 1649 | kernels. |
---|
[1819] | 1650 | plot: plot the original and the smoothed spectra. |
---|
| 1651 | In this each indivual fit has to be approved, by |
---|
| 1652 | typing 'y' or 'n' |
---|
[513] | 1653 | insitu: if False a new scantable is returned. |
---|
| 1654 | Otherwise, the scaling is done in-situ |
---|
| 1655 | The default is taken from .asaprc (False) |
---|
| 1656 | Example: |
---|
| 1657 | none |
---|
| 1658 | """ |
---|
| 1659 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 1660 | self._math._setinsitu(insitu) |
---|
[513] | 1661 | varlist = vars() |
---|
[1819] | 1662 | |
---|
| 1663 | if plot: orgscan = self.copy() |
---|
| 1664 | |
---|
[1574] | 1665 | s = scantable(self._math._smooth(self, kernel.lower(), width, order)) |
---|
[876] | 1666 | s._add_history("smooth", varlist) |
---|
[1819] | 1667 | |
---|
| 1668 | if plot: |
---|
| 1669 | if rcParams['plotter.gui']: |
---|
| 1670 | from asap.asaplotgui import asaplotgui as asaplot |
---|
| 1671 | else: |
---|
| 1672 | from asap.asaplot import asaplot |
---|
| 1673 | self._p=asaplot() |
---|
| 1674 | self._p.set_panels() |
---|
| 1675 | ylab=s._get_ordinate_label() |
---|
| 1676 | #self._p.palette(0,["#777777","red"]) |
---|
| 1677 | for r in xrange(s.nrow()): |
---|
| 1678 | xsm=s._getabcissa(r) |
---|
| 1679 | ysm=s._getspectrum(r) |
---|
| 1680 | xorg=orgscan._getabcissa(r) |
---|
| 1681 | yorg=orgscan._getspectrum(r) |
---|
| 1682 | self._p.clear() |
---|
| 1683 | self._p.hold() |
---|
| 1684 | self._p.set_axes('ylabel',ylab) |
---|
| 1685 | self._p.set_axes('xlabel',s._getabcissalabel(r)) |
---|
| 1686 | self._p.set_axes('title',s._getsourcename(r)) |
---|
| 1687 | self._p.set_line(label='Original',color="#777777") |
---|
| 1688 | self._p.plot(xorg,yorg) |
---|
| 1689 | self._p.set_line(label='Smoothed',color="red") |
---|
| 1690 | self._p.plot(xsm,ysm) |
---|
| 1691 | ### Ugly part for legend |
---|
| 1692 | for i in [0,1]: |
---|
| 1693 | self._p.subplots[0]['lines'].append([self._p.subplots[0]['axes'].lines[i]]) |
---|
| 1694 | self._p.release() |
---|
| 1695 | ### Ugly part for legend |
---|
| 1696 | self._p.subplots[0]['lines']=[] |
---|
| 1697 | res = raw_input("Accept smoothing ([y]/n): ") |
---|
| 1698 | if res.upper() == 'N': |
---|
| 1699 | s._setspectrum(yorg, r) |
---|
| 1700 | self._p.unmap() |
---|
| 1701 | self._p = None |
---|
| 1702 | del orgscan |
---|
| 1703 | |
---|
| 1704 | print_log() |
---|
[876] | 1705 | if insitu: self._assign(s) |
---|
| 1706 | else: return s |
---|
[513] | 1707 | |
---|
[1589] | 1708 | @print_log_dec |
---|
[1617] | 1709 | def poly_baseline(self, mask=None, order=0, plot=False, uselin=False, |
---|
| 1710 | insitu=None): |
---|
[513] | 1711 | """ |
---|
| 1712 | Return a scan which has been baselined (all rows) by a polynomial. |
---|
| 1713 | Parameters: |
---|
[794] | 1714 | mask: an optional mask |
---|
| 1715 | order: the order of the polynomial (default is 0) |
---|
[1061] | 1716 | plot: plot the fit and the residual. In this each |
---|
| 1717 | indivual fit has to be approved, by typing 'y' |
---|
| 1718 | or 'n' |
---|
[1391] | 1719 | uselin: use linear polynomial fit |
---|
[794] | 1720 | insitu: if False a new scantable is returned. |
---|
| 1721 | Otherwise, the scaling is done in-situ |
---|
| 1722 | The default is taken from .asaprc (False) |
---|
[513] | 1723 | Example: |
---|
| 1724 | # return a scan baselined by a third order polynomial, |
---|
| 1725 | # not using a mask |
---|
| 1726 | bscan = scan.poly_baseline(order=3) |
---|
[579] | 1727 | """ |
---|
[513] | 1728 | if insitu is None: insitu = rcParams['insitu'] |
---|
[1819] | 1729 | if not insitu: |
---|
| 1730 | workscan = self.copy() |
---|
| 1731 | else: |
---|
| 1732 | workscan = self |
---|
[513] | 1733 | varlist = vars() |
---|
| 1734 | if mask is None: |
---|
[1295] | 1735 | mask = [True for i in xrange(self.nchan(-1))] |
---|
[1819] | 1736 | |
---|
[513] | 1737 | from asap.asapfitter import fitter |
---|
[1217] | 1738 | try: |
---|
| 1739 | f = fitter() |
---|
[1391] | 1740 | if uselin: |
---|
| 1741 | f.set_function(lpoly=order) |
---|
| 1742 | else: |
---|
| 1743 | f.set_function(poly=order) |
---|
[1819] | 1744 | |
---|
| 1745 | rows = range(workscan.nrow()) |
---|
| 1746 | if len(rows) > 0: |
---|
| 1747 | self.blpars = [] |
---|
| 1748 | |
---|
| 1749 | for r in rows: |
---|
| 1750 | # take into account flagtra info (CAS-1434) |
---|
| 1751 | flagtra = workscan._getmask(r) |
---|
| 1752 | actualmask = mask[:] |
---|
| 1753 | if len(actualmask) == 0: |
---|
| 1754 | actualmask = list(flagtra[:]) |
---|
| 1755 | else: |
---|
| 1756 | if len(actualmask) != len(flagtra): |
---|
| 1757 | raise RuntimeError, "Mask and flagtra have different length" |
---|
| 1758 | else: |
---|
| 1759 | for i in range(0, len(actualmask)): |
---|
| 1760 | actualmask[i] = actualmask[i] and flagtra[i] |
---|
| 1761 | f.set_scan(workscan, actualmask) |
---|
| 1762 | f.x = workscan._getabcissa(r) |
---|
| 1763 | f.y = workscan._getspectrum(r) |
---|
| 1764 | f.data = None |
---|
| 1765 | f.fit() |
---|
| 1766 | if plot: |
---|
| 1767 | f.plot(residual=True) |
---|
| 1768 | x = raw_input("Accept fit ( [y]/n ): ") |
---|
| 1769 | if x.upper() == 'N': |
---|
| 1770 | self.blpars.append(None) |
---|
| 1771 | continue |
---|
| 1772 | workscan._setspectrum(f.fitter.getresidual(), r) |
---|
| 1773 | self.blpars.append(f.get_parameters()) |
---|
| 1774 | |
---|
| 1775 | if plot: |
---|
| 1776 | f._p.unmap() |
---|
| 1777 | f._p = None |
---|
| 1778 | workscan._add_history("poly_baseline", varlist) |
---|
| 1779 | print_log() |
---|
| 1780 | if insitu: self._assign(workscan) |
---|
| 1781 | else: return workscan |
---|
[1217] | 1782 | except RuntimeError: |
---|
| 1783 | msg = "The fit failed, possibly because it didn't converge." |
---|
| 1784 | if rcParams['verbose']: |
---|
[1819] | 1785 | #print msg |
---|
| 1786 | print_log() |
---|
| 1787 | asaplog.push( str(msg) ) |
---|
| 1788 | print_log( 'ERROR' ) |
---|
[1217] | 1789 | return |
---|
| 1790 | else: |
---|
| 1791 | raise RuntimeError(msg) |
---|
[513] | 1792 | |
---|
[1819] | 1793 | |
---|
[1118] | 1794 | def auto_poly_baseline(self, mask=[], edge=(0, 0), order=0, |
---|
[1280] | 1795 | threshold=3, chan_avg_limit=1, plot=False, |
---|
| 1796 | insitu=None): |
---|
[880] | 1797 | """ |
---|
| 1798 | Return a scan which has been baselined (all rows) by a polynomial. |
---|
| 1799 | Spectral lines are detected first using linefinder and masked out |
---|
| 1800 | to avoid them affecting the baseline solution. |
---|
| 1801 | |
---|
| 1802 | Parameters: |
---|
| 1803 | mask: an optional mask retreived from scantable |
---|
| 1804 | edge: an optional number of channel to drop at |
---|
| 1805 | the edge of spectrum. If only one value is |
---|
| 1806 | specified, the same number will be dropped from |
---|
| 1807 | both sides of the spectrum. Default is to keep |
---|
[907] | 1808 | all channels. Nested tuples represent individual |
---|
[976] | 1809 | edge selection for different IFs (a number of spectral |
---|
| 1810 | channels can be different) |
---|
[880] | 1811 | order: the order of the polynomial (default is 0) |
---|
| 1812 | threshold: the threshold used by line finder. It is better to |
---|
| 1813 | keep it large as only strong lines affect the |
---|
| 1814 | baseline solution. |
---|
[1280] | 1815 | chan_avg_limit: |
---|
| 1816 | a maximum number of consequtive spectral channels to |
---|
| 1817 | average during the search of weak and broad lines. |
---|
| 1818 | The default is no averaging (and no search for weak |
---|
| 1819 | lines). If such lines can affect the fitted baseline |
---|
| 1820 | (e.g. a high order polynomial is fitted), increase this |
---|
| 1821 | parameter (usually values up to 8 are reasonable). Most |
---|
| 1822 | users of this method should find the default value |
---|
| 1823 | sufficient. |
---|
[1061] | 1824 | plot: plot the fit and the residual. In this each |
---|
| 1825 | indivual fit has to be approved, by typing 'y' |
---|
| 1826 | or 'n' |
---|
[880] | 1827 | insitu: if False a new scantable is returned. |
---|
| 1828 | Otherwise, the scaling is done in-situ |
---|
| 1829 | The default is taken from .asaprc (False) |
---|
| 1830 | |
---|
| 1831 | Example: |
---|
| 1832 | scan2=scan.auto_poly_baseline(order=7) |
---|
| 1833 | """ |
---|
| 1834 | if insitu is None: insitu = rcParams['insitu'] |
---|
| 1835 | varlist = vars() |
---|
| 1836 | from asap.asapfitter import fitter |
---|
| 1837 | from asap.asaplinefind import linefinder |
---|
| 1838 | from asap import _is_sequence_or_number as _is_valid |
---|
| 1839 | |
---|
[976] | 1840 | # check whether edge is set up for each IF individually |
---|
[1118] | 1841 | individualedge = False; |
---|
| 1842 | if len(edge) > 1: |
---|
| 1843 | if isinstance(edge[0], list) or isinstance(edge[0], tuple): |
---|
| 1844 | individualedge = True; |
---|
[907] | 1845 | |
---|
[1118] | 1846 | if not _is_valid(edge, int) and not individualedge: |
---|
[909] | 1847 | raise ValueError, "Parameter 'edge' has to be an integer or a \ |
---|
[907] | 1848 | pair of integers specified as a tuple. Nested tuples are allowed \ |
---|
| 1849 | to make individual selection for different IFs." |
---|
[919] | 1850 | |
---|
[1118] | 1851 | curedge = (0, 0) |
---|
| 1852 | if individualedge: |
---|
| 1853 | for edgepar in edge: |
---|
| 1854 | if not _is_valid(edgepar, int): |
---|
| 1855 | raise ValueError, "Each element of the 'edge' tuple has \ |
---|
| 1856 | to be a pair of integers or an integer." |
---|
[907] | 1857 | else: |
---|
[1118] | 1858 | curedge = edge; |
---|
[880] | 1859 | |
---|
| 1860 | # setup fitter |
---|
| 1861 | f = fitter() |
---|
| 1862 | f.set_function(poly=order) |
---|
| 1863 | |
---|
| 1864 | # setup line finder |
---|
[1118] | 1865 | fl = linefinder() |
---|
[1268] | 1866 | fl.set_options(threshold=threshold,avg_limit=chan_avg_limit) |
---|
[880] | 1867 | |
---|
| 1868 | if not insitu: |
---|
[1118] | 1869 | workscan = self.copy() |
---|
[880] | 1870 | else: |
---|
[1118] | 1871 | workscan = self |
---|
[880] | 1872 | |
---|
[907] | 1873 | fl.set_scan(workscan) |
---|
| 1874 | |
---|
[1118] | 1875 | rows = range(workscan.nrow()) |
---|
[1819] | 1876 | # Save parameters of baseline fits & masklists as a class attribute. |
---|
| 1877 | # NOTICE: It does not reflect changes in scantable! |
---|
| 1878 | if len(rows) > 0: |
---|
| 1879 | self.blpars=[] |
---|
| 1880 | self.masklists=[] |
---|
[880] | 1881 | asaplog.push("Processing:") |
---|
| 1882 | for r in rows: |
---|
[1118] | 1883 | msg = " Scan[%d] Beam[%d] IF[%d] Pol[%d] Cycle[%d]" % \ |
---|
| 1884 | (workscan.getscan(r), workscan.getbeam(r), workscan.getif(r), \ |
---|
| 1885 | workscan.getpol(r), workscan.getcycle(r)) |
---|
[880] | 1886 | asaplog.push(msg, False) |
---|
[907] | 1887 | |
---|
[976] | 1888 | # figure out edge parameter |
---|
[1118] | 1889 | if individualedge: |
---|
| 1890 | if len(edge) >= workscan.getif(r): |
---|
| 1891 | raise RuntimeError, "Number of edge elements appear to " \ |
---|
| 1892 | "be less than the number of IFs" |
---|
| 1893 | curedge = edge[workscan.getif(r)] |
---|
[919] | 1894 | |
---|
[1819] | 1895 | # take into account flagtra info (CAS-1434) |
---|
| 1896 | flagtra = workscan._getmask(r) |
---|
| 1897 | actualmask = mask[:] |
---|
| 1898 | if len(actualmask) == 0: |
---|
| 1899 | actualmask = list(flagtra[:]) |
---|
| 1900 | else: |
---|
| 1901 | if len(actualmask) != len(flagtra): |
---|
| 1902 | raise RuntimeError, "Mask and flagtra have different length" |
---|
| 1903 | else: |
---|
| 1904 | for i in range(0, len(actualmask)): |
---|
| 1905 | actualmask[i] = actualmask[i] and flagtra[i] |
---|
| 1906 | |
---|
[976] | 1907 | # setup line finder |
---|
[1819] | 1908 | fl.find_lines(r, actualmask, curedge) |
---|
| 1909 | outmask=fl.get_mask() |
---|
| 1910 | f.set_scan(workscan, fl.get_mask()) |
---|
| 1911 | f.x = workscan._getabcissa(r) |
---|
| 1912 | f.y = workscan._getspectrum(r) |
---|
| 1913 | f.data = None |
---|
[880] | 1914 | f.fit() |
---|
[1819] | 1915 | |
---|
| 1916 | # Show mask list |
---|
| 1917 | masklist=workscan.get_masklist(fl.get_mask(),row=r) |
---|
| 1918 | msg = "mask range: "+str(masklist) |
---|
| 1919 | asaplog.push(msg, False) |
---|
| 1920 | |
---|
[1061] | 1921 | if plot: |
---|
| 1922 | f.plot(residual=True) |
---|
| 1923 | x = raw_input("Accept fit ( [y]/n ): ") |
---|
| 1924 | if x.upper() == 'N': |
---|
[1819] | 1925 | self.blpars.append(None) |
---|
| 1926 | self.masklists.append(None) |
---|
[1061] | 1927 | continue |
---|
[1819] | 1928 | |
---|
[880] | 1929 | workscan._setspectrum(f.fitter.getresidual(), r) |
---|
[1819] | 1930 | self.blpars.append(f.get_parameters()) |
---|
| 1931 | self.masklists.append(masklist) |
---|
[1061] | 1932 | if plot: |
---|
| 1933 | f._p.unmap() |
---|
| 1934 | f._p = None |
---|
| 1935 | workscan._add_history("auto_poly_baseline", varlist) |
---|
[880] | 1936 | if insitu: |
---|
| 1937 | self._assign(workscan) |
---|
| 1938 | else: |
---|
| 1939 | return workscan |
---|
| 1940 | |
---|
[1589] | 1941 | @print_log_dec |
---|
[914] | 1942 | def rotate_linpolphase(self, angle): |
---|
| 1943 | """ |
---|
| 1944 | Rotate the phase of the complex polarization O=Q+iU correlation. |
---|
| 1945 | This is always done in situ in the raw data. So if you call this |
---|
| 1946 | function more than once then each call rotates the phase further. |
---|
| 1947 | Parameters: |
---|
| 1948 | angle: The angle (degrees) to rotate (add) by. |
---|
| 1949 | Examples: |
---|
| 1950 | scan.rotate_linpolphase(2.3) |
---|
| 1951 | """ |
---|
| 1952 | varlist = vars() |
---|
[936] | 1953 | self._math._rotate_linpolphase(self, angle) |
---|
[914] | 1954 | self._add_history("rotate_linpolphase", varlist) |
---|
[1819] | 1955 | print_log() |
---|
[914] | 1956 | return |
---|
[710] | 1957 | |
---|
[1589] | 1958 | @print_log_dec |
---|
[914] | 1959 | def rotate_xyphase(self, angle): |
---|
| 1960 | """ |
---|
| 1961 | Rotate the phase of the XY correlation. This is always done in situ |
---|
| 1962 | in the data. So if you call this function more than once |
---|
| 1963 | then each call rotates the phase further. |
---|
| 1964 | Parameters: |
---|
| 1965 | angle: The angle (degrees) to rotate (add) by. |
---|
| 1966 | Examples: |
---|
| 1967 | scan.rotate_xyphase(2.3) |
---|
| 1968 | """ |
---|
| 1969 | varlist = vars() |
---|
[936] | 1970 | self._math._rotate_xyphase(self, angle) |
---|
[914] | 1971 | self._add_history("rotate_xyphase", varlist) |
---|
[1819] | 1972 | print_log() |
---|
[914] | 1973 | return |
---|
| 1974 | |
---|
[1589] | 1975 | @print_log_dec |
---|
[914] | 1976 | def swap_linears(self): |
---|
| 1977 | """ |
---|
[1573] | 1978 | Swap the linear polarisations XX and YY, or better the first two |
---|
[1348] | 1979 | polarisations as this also works for ciculars. |
---|
[914] | 1980 | """ |
---|
| 1981 | varlist = vars() |
---|
[936] | 1982 | self._math._swap_linears(self) |
---|
[914] | 1983 | self._add_history("swap_linears", varlist) |
---|
[1819] | 1984 | print_log() |
---|
[914] | 1985 | return |
---|
| 1986 | |
---|
[1589] | 1987 | @print_log_dec |
---|
[914] | 1988 | def invert_phase(self): |
---|
| 1989 | """ |
---|
| 1990 | Invert the phase of the complex polarisation |
---|
| 1991 | """ |
---|
| 1992 | varlist = vars() |
---|
[936] | 1993 | self._math._invert_phase(self) |
---|
[914] | 1994 | self._add_history("invert_phase", varlist) |
---|
[1819] | 1995 | print_log() |
---|
[914] | 1996 | return |
---|
| 1997 | |
---|
[1589] | 1998 | @print_log_dec |
---|
[876] | 1999 | def add(self, offset, insitu=None): |
---|
[513] | 2000 | """ |
---|
| 2001 | Return a scan where all spectra have the offset added |
---|
| 2002 | Parameters: |
---|
| 2003 | offset: the offset |
---|
| 2004 | insitu: if False a new scantable is returned. |
---|
| 2005 | Otherwise, the scaling is done in-situ |
---|
| 2006 | The default is taken from .asaprc (False) |
---|
| 2007 | """ |
---|
| 2008 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 2009 | self._math._setinsitu(insitu) |
---|
[513] | 2010 | varlist = vars() |
---|
[876] | 2011 | s = scantable(self._math._unaryop(self, offset, "ADD", False)) |
---|
[1118] | 2012 | s._add_history("add", varlist) |
---|
[1819] | 2013 | print_log() |
---|
[876] | 2014 | if insitu: |
---|
| 2015 | self._assign(s) |
---|
| 2016 | else: |
---|
[513] | 2017 | return s |
---|
| 2018 | |
---|
[1589] | 2019 | @print_log_dec |
---|
[1308] | 2020 | def scale(self, factor, tsys=True, insitu=None): |
---|
[513] | 2021 | """ |
---|
| 2022 | Return a scan where all spectra are scaled by the give 'factor' |
---|
| 2023 | Parameters: |
---|
[1819] | 2024 | factor: the scaling factor (float or 1D float list) |
---|
[513] | 2025 | insitu: if False a new scantable is returned. |
---|
| 2026 | Otherwise, the scaling is done in-situ |
---|
| 2027 | The default is taken from .asaprc (False) |
---|
| 2028 | tsys: if True (default) then apply the operation to Tsys |
---|
| 2029 | as well as the data |
---|
| 2030 | """ |
---|
| 2031 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 2032 | self._math._setinsitu(insitu) |
---|
[513] | 2033 | varlist = vars() |
---|
[1819] | 2034 | s = None |
---|
| 2035 | import numpy |
---|
| 2036 | if isinstance(factor, list) or isinstance(factor, numpy.ndarray): |
---|
| 2037 | if isinstance(factor[0], list) or isinstance(factor[0], numpy.ndarray): |
---|
| 2038 | from asapmath import _array2dOp |
---|
| 2039 | s = _array2dOp( self.copy(), factor, "MUL", tsys ) |
---|
| 2040 | else: |
---|
| 2041 | s = scantable( self._math._arrayop( self.copy(), factor, "MUL", tsys ) ) |
---|
| 2042 | else: |
---|
| 2043 | s = scantable(self._math._unaryop(self.copy(), factor, "MUL", tsys)) |
---|
[1118] | 2044 | s._add_history("scale", varlist) |
---|
[1819] | 2045 | print_log() |
---|
[876] | 2046 | if insitu: |
---|
| 2047 | self._assign(s) |
---|
| 2048 | else: |
---|
[513] | 2049 | return s |
---|
| 2050 | |
---|
[1504] | 2051 | def set_sourcetype(self, match, matchtype="pattern", |
---|
| 2052 | sourcetype="reference"): |
---|
[1502] | 2053 | """ |
---|
| 2054 | Set the type of the source to be an source or reference scan |
---|
| 2055 | using the provided pattern: |
---|
| 2056 | Parameters: |
---|
[1504] | 2057 | match: a Unix style pattern, regular expression or selector |
---|
| 2058 | matchtype: 'pattern' (default) UNIX style pattern or |
---|
| 2059 | 'regex' regular expression |
---|
[1502] | 2060 | sourcetype: the type of the source to use (source/reference) |
---|
| 2061 | """ |
---|
| 2062 | varlist = vars() |
---|
| 2063 | basesel = self.get_selection() |
---|
| 2064 | stype = -1 |
---|
| 2065 | if sourcetype.lower().startswith("r"): |
---|
| 2066 | stype = 1 |
---|
| 2067 | elif sourcetype.lower().startswith("s"): |
---|
| 2068 | stype = 0 |
---|
[1504] | 2069 | else: |
---|
[1502] | 2070 | raise ValueError("Illegal sourcetype use s(ource) or r(eference)") |
---|
[1504] | 2071 | if matchtype.lower().startswith("p"): |
---|
| 2072 | matchtype = "pattern" |
---|
| 2073 | elif matchtype.lower().startswith("r"): |
---|
| 2074 | matchtype = "regex" |
---|
| 2075 | else: |
---|
| 2076 | raise ValueError("Illegal matchtype, use p(attern) or r(egex)") |
---|
[1502] | 2077 | sel = selector() |
---|
| 2078 | if isinstance(match, selector): |
---|
| 2079 | sel = match |
---|
| 2080 | else: |
---|
[1504] | 2081 | sel.set_query("SRCNAME == %s('%s')" % (matchtype, match)) |
---|
[1502] | 2082 | self.set_selection(basesel+sel) |
---|
| 2083 | self._setsourcetype(stype) |
---|
| 2084 | self.set_selection(basesel) |
---|
[1573] | 2085 | self._add_history("set_sourcetype", varlist) |
---|
[1502] | 2086 | |
---|
[1589] | 2087 | @print_log_dec |
---|
[1819] | 2088 | def auto_quotient(self, preserve=True, mode='paired', verify=False): |
---|
[670] | 2089 | """ |
---|
| 2090 | This function allows to build quotients automatically. |
---|
[1819] | 2091 | It assumes the observation to have the same number of |
---|
[670] | 2092 | "ons" and "offs" |
---|
| 2093 | Parameters: |
---|
[710] | 2094 | preserve: you can preserve (default) the continuum or |
---|
| 2095 | remove it. The equations used are |
---|
[670] | 2096 | preserve: Output = Toff * (on/off) - Toff |
---|
[1070] | 2097 | remove: Output = Toff * (on/off) - Ton |
---|
[1573] | 2098 | mode: the on/off detection mode |
---|
[1348] | 2099 | 'paired' (default) |
---|
| 2100 | identifies 'off' scans by the |
---|
| 2101 | trailing '_R' (Mopra/Parkes) or |
---|
| 2102 | '_e'/'_w' (Tid) and matches |
---|
| 2103 | on/off pairs from the observing pattern |
---|
[1502] | 2104 | 'time' |
---|
| 2105 | finds the closest off in time |
---|
[1348] | 2106 | |
---|
[670] | 2107 | """ |
---|
[1348] | 2108 | modes = ["time", "paired"] |
---|
[670] | 2109 | if not mode in modes: |
---|
[876] | 2110 | msg = "please provide valid mode. Valid modes are %s" % (modes) |
---|
| 2111 | raise ValueError(msg) |
---|
| 2112 | varlist = vars() |
---|
[1348] | 2113 | s = None |
---|
| 2114 | if mode.lower() == "paired": |
---|
| 2115 | basesel = self.get_selection() |
---|
[1356] | 2116 | sel = selector()+basesel |
---|
| 2117 | sel.set_query("SRCTYPE==1") |
---|
| 2118 | self.set_selection(sel) |
---|
[1348] | 2119 | offs = self.copy() |
---|
| 2120 | sel.set_query("SRCTYPE==0") |
---|
[1356] | 2121 | self.set_selection(sel) |
---|
[1348] | 2122 | ons = self.copy() |
---|
| 2123 | s = scantable(self._math._quotient(ons, offs, preserve)) |
---|
| 2124 | self.set_selection(basesel) |
---|
| 2125 | elif mode.lower() == "time": |
---|
| 2126 | s = scantable(self._math._auto_quotient(self, mode, preserve)) |
---|
[1118] | 2127 | s._add_history("auto_quotient", varlist) |
---|
[1819] | 2128 | print_log() |
---|
[876] | 2129 | return s |
---|
[710] | 2130 | |
---|
[1589] | 2131 | @print_log_dec |
---|
[1145] | 2132 | def mx_quotient(self, mask = None, weight='median', preserve=True): |
---|
[1141] | 2133 | """ |
---|
[1143] | 2134 | Form a quotient using "off" beams when observing in "MX" mode. |
---|
| 2135 | Parameters: |
---|
[1145] | 2136 | mask: an optional mask to be used when weight == 'stddev' |
---|
[1143] | 2137 | weight: How to average the off beams. Default is 'median'. |
---|
[1145] | 2138 | preserve: you can preserve (default) the continuum or |
---|
| 2139 | remove it. The equations used are |
---|
| 2140 | preserve: Output = Toff * (on/off) - Toff |
---|
| 2141 | remove: Output = Toff * (on/off) - Ton |
---|
[1217] | 2142 | """ |
---|
[1593] | 2143 | mask = mask or () |
---|
[1141] | 2144 | varlist = vars() |
---|
| 2145 | on = scantable(self._math._mx_extract(self, 'on')) |
---|
[1143] | 2146 | preoff = scantable(self._math._mx_extract(self, 'off')) |
---|
| 2147 | off = preoff.average_time(mask=mask, weight=weight, scanav=False) |
---|
[1217] | 2148 | from asapmath import quotient |
---|
[1145] | 2149 | q = quotient(on, off, preserve) |
---|
[1143] | 2150 | q._add_history("mx_quotient", varlist) |
---|
[1819] | 2151 | print_log() |
---|
[1217] | 2152 | return q |
---|
[513] | 2153 | |
---|
[1589] | 2154 | @print_log_dec |
---|
[718] | 2155 | def freq_switch(self, insitu=None): |
---|
| 2156 | """ |
---|
| 2157 | Apply frequency switching to the data. |
---|
| 2158 | Parameters: |
---|
| 2159 | insitu: if False a new scantable is returned. |
---|
| 2160 | Otherwise, the swictching is done in-situ |
---|
| 2161 | The default is taken from .asaprc (False) |
---|
| 2162 | Example: |
---|
| 2163 | none |
---|
| 2164 | """ |
---|
| 2165 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 2166 | self._math._setinsitu(insitu) |
---|
[718] | 2167 | varlist = vars() |
---|
[876] | 2168 | s = scantable(self._math._freqswitch(self)) |
---|
[1118] | 2169 | s._add_history("freq_switch", varlist) |
---|
[1819] | 2170 | print_log() |
---|
[876] | 2171 | if insitu: self._assign(s) |
---|
| 2172 | else: return s |
---|
[718] | 2173 | |
---|
[1589] | 2174 | @print_log_dec |
---|
[780] | 2175 | def recalc_azel(self): |
---|
| 2176 | """ |
---|
| 2177 | Recalculate the azimuth and elevation for each position. |
---|
| 2178 | Parameters: |
---|
| 2179 | none |
---|
| 2180 | Example: |
---|
| 2181 | """ |
---|
| 2182 | varlist = vars() |
---|
[876] | 2183 | self._recalcazel() |
---|
[780] | 2184 | self._add_history("recalc_azel", varlist) |
---|
[1819] | 2185 | print_log() |
---|
[780] | 2186 | return |
---|
| 2187 | |
---|
[1589] | 2188 | @print_log_dec |
---|
[513] | 2189 | def __add__(self, other): |
---|
| 2190 | varlist = vars() |
---|
| 2191 | s = None |
---|
| 2192 | if isinstance(other, scantable): |
---|
[1573] | 2193 | s = scantable(self._math._binaryop(self, other, "ADD")) |
---|
[513] | 2194 | elif isinstance(other, float): |
---|
[876] | 2195 | s = scantable(self._math._unaryop(self, other, "ADD", False)) |
---|
[513] | 2196 | else: |
---|
[718] | 2197 | raise TypeError("Other input is not a scantable or float value") |
---|
[513] | 2198 | s._add_history("operator +", varlist) |
---|
| 2199 | return s |
---|
| 2200 | |
---|
[1589] | 2201 | @print_log_dec |
---|
[513] | 2202 | def __sub__(self, other): |
---|
| 2203 | """ |
---|
| 2204 | implicit on all axes and on Tsys |
---|
| 2205 | """ |
---|
| 2206 | varlist = vars() |
---|
| 2207 | s = None |
---|
| 2208 | if isinstance(other, scantable): |
---|
[1588] | 2209 | s = scantable(self._math._binaryop(self, other, "SUB")) |
---|
[513] | 2210 | elif isinstance(other, float): |
---|
[876] | 2211 | s = scantable(self._math._unaryop(self, other, "SUB", False)) |
---|
[513] | 2212 | else: |
---|
[718] | 2213 | raise TypeError("Other input is not a scantable or float value") |
---|
[513] | 2214 | s._add_history("operator -", varlist) |
---|
| 2215 | return s |
---|
[710] | 2216 | |
---|
[1589] | 2217 | @print_log_dec |
---|
[513] | 2218 | def __mul__(self, other): |
---|
| 2219 | """ |
---|
| 2220 | implicit on all axes and on Tsys |
---|
| 2221 | """ |
---|
| 2222 | varlist = vars() |
---|
| 2223 | s = None |
---|
| 2224 | if isinstance(other, scantable): |
---|
[1588] | 2225 | s = scantable(self._math._binaryop(self, other, "MUL")) |
---|
[513] | 2226 | elif isinstance(other, float): |
---|
[876] | 2227 | s = scantable(self._math._unaryop(self, other, "MUL", False)) |
---|
[513] | 2228 | else: |
---|
[718] | 2229 | raise TypeError("Other input is not a scantable or float value") |
---|
[513] | 2230 | s._add_history("operator *", varlist) |
---|
| 2231 | return s |
---|
| 2232 | |
---|
[710] | 2233 | |
---|
[1589] | 2234 | @print_log_dec |
---|
[513] | 2235 | def __div__(self, other): |
---|
| 2236 | """ |
---|
| 2237 | implicit on all axes and on Tsys |
---|
| 2238 | """ |
---|
| 2239 | varlist = vars() |
---|
| 2240 | s = None |
---|
| 2241 | if isinstance(other, scantable): |
---|
[1589] | 2242 | s = scantable(self._math._binaryop(self, other, "DIV")) |
---|
[513] | 2243 | elif isinstance(other, float): |
---|
| 2244 | if other == 0.0: |
---|
[718] | 2245 | raise ZeroDivisionError("Dividing by zero is not recommended") |
---|
[876] | 2246 | s = scantable(self._math._unaryop(self, other, "DIV", False)) |
---|
[513] | 2247 | else: |
---|
[718] | 2248 | raise TypeError("Other input is not a scantable or float value") |
---|
[513] | 2249 | s._add_history("operator /", varlist) |
---|
| 2250 | return s |
---|
| 2251 | |
---|
[530] | 2252 | def get_fit(self, row=0): |
---|
| 2253 | """ |
---|
| 2254 | Print or return the stored fits for a row in the scantable |
---|
| 2255 | Parameters: |
---|
| 2256 | row: the row which the fit has been applied to. |
---|
| 2257 | """ |
---|
| 2258 | if row > self.nrow(): |
---|
| 2259 | return |
---|
[976] | 2260 | from asap.asapfit import asapfit |
---|
[530] | 2261 | fit = asapfit(self._getfit(row)) |
---|
[718] | 2262 | if rcParams['verbose']: |
---|
[1819] | 2263 | #print fit |
---|
| 2264 | asaplog.push( '%s' %(fit) ) |
---|
| 2265 | print_log() |
---|
[530] | 2266 | return |
---|
| 2267 | else: |
---|
| 2268 | return fit.as_dict() |
---|
| 2269 | |
---|
[1483] | 2270 | def flag_nans(self): |
---|
| 2271 | """ |
---|
| 2272 | Utility function to flag NaN values in the scantable. |
---|
| 2273 | """ |
---|
| 2274 | import numpy |
---|
| 2275 | basesel = self.get_selection() |
---|
| 2276 | for i in range(self.nrow()): |
---|
[1589] | 2277 | sel = self.get_row_selector(i) |
---|
| 2278 | self.set_selection(basesel+sel) |
---|
[1483] | 2279 | nans = numpy.isnan(self._getspectrum(0)) |
---|
| 2280 | if numpy.any(nans): |
---|
| 2281 | bnans = [ bool(v) for v in nans] |
---|
| 2282 | self.flag(bnans) |
---|
| 2283 | self.set_selection(basesel) |
---|
| 2284 | |
---|
[1588] | 2285 | def get_row_selector(self, rowno): |
---|
| 2286 | return selector(beams=self.getbeam(rowno), |
---|
| 2287 | ifs=self.getif(rowno), |
---|
| 2288 | pols=self.getpol(rowno), |
---|
| 2289 | scans=self.getscan(rowno), |
---|
| 2290 | cycles=self.getcycle(rowno)) |
---|
[1573] | 2291 | |
---|
[484] | 2292 | def _add_history(self, funcname, parameters): |
---|
[1435] | 2293 | if not rcParams['scantable.history']: |
---|
| 2294 | return |
---|
[484] | 2295 | # create date |
---|
| 2296 | sep = "##" |
---|
| 2297 | from datetime import datetime |
---|
| 2298 | dstr = datetime.now().strftime('%Y/%m/%d %H:%M:%S') |
---|
| 2299 | hist = dstr+sep |
---|
| 2300 | hist += funcname+sep#cdate+sep |
---|
| 2301 | if parameters.has_key('self'): del parameters['self'] |
---|
[1118] | 2302 | for k, v in parameters.iteritems(): |
---|
[484] | 2303 | if type(v) is dict: |
---|
[1118] | 2304 | for k2, v2 in v.iteritems(): |
---|
[484] | 2305 | hist += k2 |
---|
| 2306 | hist += "=" |
---|
[1118] | 2307 | if isinstance(v2, scantable): |
---|
[484] | 2308 | hist += 'scantable' |
---|
| 2309 | elif k2 == 'mask': |
---|
[1118] | 2310 | if isinstance(v2, list) or isinstance(v2, tuple): |
---|
[513] | 2311 | hist += str(self._zip_mask(v2)) |
---|
| 2312 | else: |
---|
| 2313 | hist += str(v2) |
---|
[484] | 2314 | else: |
---|
[513] | 2315 | hist += str(v2) |
---|
[484] | 2316 | else: |
---|
| 2317 | hist += k |
---|
| 2318 | hist += "=" |
---|
[1118] | 2319 | if isinstance(v, scantable): |
---|
[484] | 2320 | hist += 'scantable' |
---|
| 2321 | elif k == 'mask': |
---|
[1118] | 2322 | if isinstance(v, list) or isinstance(v, tuple): |
---|
[513] | 2323 | hist += str(self._zip_mask(v)) |
---|
| 2324 | else: |
---|
| 2325 | hist += str(v) |
---|
[484] | 2326 | else: |
---|
| 2327 | hist += str(v) |
---|
| 2328 | hist += sep |
---|
| 2329 | hist = hist[:-2] # remove trailing '##' |
---|
| 2330 | self._addhistory(hist) |
---|
| 2331 | |
---|
[710] | 2332 | |
---|
[484] | 2333 | def _zip_mask(self, mask): |
---|
| 2334 | mask = list(mask) |
---|
| 2335 | i = 0 |
---|
| 2336 | segments = [] |
---|
| 2337 | while mask[i:].count(1): |
---|
| 2338 | i += mask[i:].index(1) |
---|
| 2339 | if mask[i:].count(0): |
---|
| 2340 | j = i + mask[i:].index(0) |
---|
| 2341 | else: |
---|
[710] | 2342 | j = len(mask) |
---|
[1118] | 2343 | segments.append([i, j]) |
---|
[710] | 2344 | i = j |
---|
[484] | 2345 | return segments |
---|
[714] | 2346 | |
---|
[626] | 2347 | def _get_ordinate_label(self): |
---|
| 2348 | fu = "("+self.get_fluxunit()+")" |
---|
| 2349 | import re |
---|
| 2350 | lbl = "Intensity" |
---|
[1118] | 2351 | if re.match(".K.", fu): |
---|
[626] | 2352 | lbl = "Brightness Temperature "+ fu |
---|
[1118] | 2353 | elif re.match(".Jy.", fu): |
---|
[626] | 2354 | lbl = "Flux density "+ fu |
---|
| 2355 | return lbl |
---|
[710] | 2356 | |
---|
[876] | 2357 | def _check_ifs(self): |
---|
| 2358 | nchans = [self.nchan(i) for i in range(self.nif(-1))] |
---|
[889] | 2359 | nchans = filter(lambda t: t > 0, nchans) |
---|
[876] | 2360 | return (sum(nchans)/len(nchans) == nchans[0]) |
---|
[976] | 2361 | |
---|
[1819] | 2362 | def _fill(self, names, unit, average, getpt, antenna): |
---|
[976] | 2363 | import os |
---|
| 2364 | from asap._asap import stfiller |
---|
| 2365 | first = True |
---|
| 2366 | fullnames = [] |
---|
| 2367 | for name in names: |
---|
| 2368 | name = os.path.expandvars(name) |
---|
| 2369 | name = os.path.expanduser(name) |
---|
| 2370 | if not os.path.exists(name): |
---|
| 2371 | msg = "File '%s' does not exists" % (name) |
---|
| 2372 | if rcParams['verbose']: |
---|
| 2373 | asaplog.push(msg) |
---|
[1819] | 2374 | #print asaplog.pop().strip() |
---|
| 2375 | print_log( 'ERROR' ) |
---|
[976] | 2376 | return |
---|
| 2377 | raise IOError(msg) |
---|
| 2378 | fullnames.append(name) |
---|
| 2379 | if average: |
---|
| 2380 | asaplog.push('Auto averaging integrations') |
---|
[1079] | 2381 | stype = int(rcParams['scantable.storage'].lower() == 'disk') |
---|
[976] | 2382 | for name in fullnames: |
---|
[1073] | 2383 | tbl = Scantable(stype) |
---|
| 2384 | r = stfiller(tbl) |
---|
[1504] | 2385 | rx = rcParams['scantable.reference'] |
---|
| 2386 | r._setreferenceexpr(rx) |
---|
[976] | 2387 | msg = "Importing %s..." % (name) |
---|
[1118] | 2388 | asaplog.push(msg, False) |
---|
[976] | 2389 | print_log() |
---|
[1819] | 2390 | r._open(name, antenna, -1, -1, getpt) |
---|
[976] | 2391 | r._read() |
---|
| 2392 | if average: |
---|
[1118] | 2393 | tbl = self._math._average((tbl, ), (), 'NONE', 'SCAN') |
---|
[976] | 2394 | if not first: |
---|
| 2395 | tbl = self._math._merge([self, tbl]) |
---|
| 2396 | Scantable.__init__(self, tbl) |
---|
| 2397 | r._close() |
---|
[1118] | 2398 | del r, tbl |
---|
[976] | 2399 | first = False |
---|
| 2400 | if unit is not None: |
---|
| 2401 | self.set_fluxunit(unit) |
---|
[1824] | 2402 | if not is_casapy(): |
---|
| 2403 | self.set_freqframe(rcParams['scantable.freqframe']) |
---|
[976] | 2404 | |
---|
[1402] | 2405 | def __getitem__(self, key): |
---|
| 2406 | if key < 0: |
---|
| 2407 | key += self.nrow() |
---|
| 2408 | if key >= self.nrow(): |
---|
| 2409 | raise IndexError("Row index out of range.") |
---|
| 2410 | return self._getspectrum(key) |
---|
| 2411 | |
---|
| 2412 | def __setitem__(self, key, value): |
---|
| 2413 | if key < 0: |
---|
| 2414 | key += self.nrow() |
---|
| 2415 | if key >= self.nrow(): |
---|
| 2416 | raise IndexError("Row index out of range.") |
---|
| 2417 | if not hasattr(value, "__len__") or \ |
---|
| 2418 | len(value) > self.nchan(self.getif(key)): |
---|
| 2419 | raise ValueError("Spectrum length doesn't match.") |
---|
| 2420 | return self._setspectrum(value, key) |
---|
| 2421 | |
---|
| 2422 | def __len__(self): |
---|
| 2423 | return self.nrow() |
---|
| 2424 | |
---|
| 2425 | def __iter__(self): |
---|
| 2426 | for i in range(len(self)): |
---|
| 2427 | yield self[i] |
---|