[102] | 1 | from asap._asap import sdtable
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[226] | 2 | from asap import rcParams
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[714] | 3 | from asap import print_log
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[189] | 4 | from numarray import ones,zeros
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[102] | 5 | import sys
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| 6 |
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| 7 | class scantable(sdtable):
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| 8 | """
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| 9 | The ASAP container for scans
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| 10 | """
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[710] | 11 |
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[484] | 12 | def __init__(self, filename, average=None, unit=None):
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[102] | 13 | """
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| 14 | Create a scantable from a saved one or make a reference
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| 15 | Parameters:
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[181] | 16 | filename: the name of an asap table on disk
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| 17 | or
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| 18 | the name of a rpfits/sdfits/ms file
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| 19 | (integrations within scans are auto averaged
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| 20 | and the whole file is read)
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| 21 | or
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| 22 | [advanced] a reference to an existing
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[102] | 23 | scantable
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[484] | 24 | average: average all integrations withinb a scan on read.
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| 25 | The default (True) is taken from .asaprc.
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| 26 | unit: brightness unit; must be consistent with K or Jy.
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[340] | 27 | Over-rides the default selected by the reader
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| 28 | (input rpfits/sdfits/ms) or replaces the value
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| 29 | in existing scantables
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[710] | 30 | """
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[489] | 31 | if average is None or type(average) is not bool:
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[710] | 32 | average = rcParams['scantable.autoaverage']
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[489] | 33 |
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[484] | 34 | varlist = vars()
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[113] | 35 | self._p = None
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[710] | 36 | from asap import asaplog
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[181] | 37 | if isinstance(filename,sdtable):
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[710] | 38 | sdtable.__init__(self, filename)
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[340] | 39 | if unit is not None:
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[710] | 40 | self.set_fluxunit(unit)
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[181] | 41 | else:
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[411] | 42 | import os.path
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| 43 | if not os.path.exists(filename):
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[710] | 44 | s = "File '%s' not found." % (filename)
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| 45 | if rcParams['verbose']:
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| 46 | asaplog.push(s)
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| 47 | print asaplog.pop().strip()
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| 48 | return
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| 49 | raise IOError(s)
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[411] | 50 | filename = os.path.expandvars(filename)
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| 51 | if os.path.isdir(filename):
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[181] | 52 | # crude check if asap table
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[411] | 53 | if os.path.exists(filename+'/table.info'):
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[181] | 54 | sdtable.__init__(self, filename)
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[340] | 55 | if unit is not None:
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[710] | 56 | self.set_fluxunit(unit)
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[181] | 57 | else:
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[718] | 58 | msg = "The given file '%s'is not a valid asap table." % (filename)
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| 59 | if rcParams['verbose']:
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| 60 | print msg
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| 61 | return
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| 62 | else:
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| 63 | raise IOError(msg)
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[710] | 64 | else:
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[181] | 65 | from asap._asap import sdreader
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[340] | 66 | ifSel = -1
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| 67 | beamSel = -1
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[710] | 68 | r = sdreader()
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| 69 | r._open(filename,ifSel,beamSel)
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| 70 | asaplog.push('Importing data...')
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[760] | 71 | print_log()
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[411] | 72 | r._read([-1])
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| 73 | tbl = r._getdata()
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[346] | 74 | if unit is not None:
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| 75 | tbl.set_fluxunit(unit)
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[489] | 76 | if average:
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| 77 | from asap._asap import average as _av
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[710] | 78 | asaplog.push('Auto averaging integrations...')
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[760] | 79 | print_log()
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[513] | 80 | tbl2 = _av((tbl,),(),True,'none')
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[226] | 81 | sdtable.__init__(self,tbl2)
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[513] | 82 | del tbl2
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[226] | 83 | else:
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| 84 | sdtable.__init__(self,tbl)
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[513] | 85 | del r,tbl
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[484] | 86 | self._add_history("scantable", varlist)
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[714] | 87 | print_log()
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[102] | 88 |
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[451] | 89 | def save(self, name=None, format=None, stokes=False, overwrite=False):
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[116] | 90 | """
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[710] | 91 | Store the scantable on disk. This can be an asap (aips++) Table, SDFITS,
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[280] | 92 | Image FITS or MS2 format.
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[116] | 93 | Parameters:
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[196] | 94 | name: the name of the outputfile. For format="FITS" this
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[489] | 95 | is the directory file name into which all the files
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[497] | 96 | will be written (default is 'asap_FITS'). For format
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| 97 | "ASCII" this is the root file name (data in 'name'.txt
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| 98 | and header in 'name'_header.txt)
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[116] | 99 | format: an optional file format. Default is ASAP.
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[280] | 100 | Allowed are - 'ASAP' (save as ASAP [aips++] Table),
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[194] | 101 | 'SDFITS' (save as SDFITS file)
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[710] | 102 | 'FITS' (saves each row as a FITS Image)
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[200] | 103 | 'ASCII' (saves as ascii text file)
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[226] | 104 | 'MS2' (saves as an aips++
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| 105 | MeasurementSet V2)
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[489] | 106 | stokes: Convert to Stokes parameters (only available
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| 107 | currently with FITS and ASCII formats.
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| 108 | Default is False.
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[411] | 109 | overwrite: If the file should be overwritten if it exists.
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[256] | 110 | The default False is to return with warning
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[411] | 111 | without writing the output. USE WITH CARE.
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[116] | 112 | Example:
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| 113 | scan.save('myscan.asap')
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| 114 | scan.save('myscan.sdfits','SDFITS')
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| 115 | """
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[411] | 116 | from os import path
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[226] | 117 | if format is None: format = rcParams['scantable.save']
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[256] | 118 | suffix = '.'+format.lower()
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| 119 | if name is None or name =="":
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| 120 | name = 'scantable'+suffix
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[718] | 121 | from asap import asaplog
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| 122 | msg = "No filename given. Using default name %s..." % name
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| 123 | asaplog.push(msg)
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[411] | 124 | name = path.expandvars(name)
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[256] | 125 | if path.isfile(name) or path.isdir(name):
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| 126 | if not overwrite:
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[718] | 127 | msg = "File %s exists." % name
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| 128 | if rcParams['verbose']:
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| 129 | print msg
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| 130 | return
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| 131 | else:
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| 132 | raise IOError(msg)
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[451] | 133 | format2 = format.upper()
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| 134 | if format2 == 'ASAP':
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[116] | 135 | self._save(name)
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| 136 | else:
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| 137 | from asap._asap import sdwriter as _sw
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[451] | 138 | w = _sw(format2)
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[445] | 139 | w.write(self, name, stokes)
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[718] | 140 |
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| 141 | print_log()
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[116] | 142 | return
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| 143 |
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[102] | 144 | def copy(self):
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| 145 | """
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| 146 | Return a copy of this scantable.
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| 147 | Parameters:
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[113] | 148 | none
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[102] | 149 | Example:
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| 150 | copiedscan = scan.copy()
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| 151 | """
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[113] | 152 | sd = scantable(sdtable._copy(self))
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| 153 | return sd
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| 154 |
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[102] | 155 | def get_scan(self, scanid=None):
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| 156 | """
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| 157 | Return a specific scan (by scanno) or collection of scans (by
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| 158 | source name) in a new scantable.
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| 159 | Parameters:
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[513] | 160 | scanid: a (list of) scanno or a source name, unix-style
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| 161 | patterns are accepted for source name matching, e.g.
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| 162 | '*_R' gets all 'ref scans
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[102] | 163 | Example:
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[513] | 164 | # get all scans containing the source '323p459'
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| 165 | newscan = scan.get_scan('323p459')
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| 166 | # get all 'off' scans
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| 167 | refscans = scan.get_scan('*_R')
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| 168 | # get a susbset of scans by scanno (as listed in scan.summary())
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| 169 | newscan = scan.get_scan([0,2,7,10])
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[102] | 170 | """
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| 171 | if scanid is None:
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[718] | 172 | if rcParams['verbose']:
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| 173 | print "Please specify a scan no or name to retrieve from the scantable"
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| 174 | return
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| 175 | else:
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| 176 | raise RuntimeError("No scan given")
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| 177 |
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[102] | 178 | try:
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| 179 | if type(scanid) is str:
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[113] | 180 | s = sdtable._getsource(self,scanid)
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[102] | 181 | return scantable(s)
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| 182 | elif type(scanid) is int:
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[381] | 183 | s = sdtable._getscan(self,[scanid])
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| 184 | return scantable(s)
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| 185 | elif type(scanid) is list:
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[113] | 186 | s = sdtable._getscan(self,scanid)
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[102] | 187 | return scantable(s)
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[381] | 188 | else:
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[718] | 189 | msg = "Illegal scanid type, use 'int' or 'list' if ints."
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| 190 | if rcParams['verbose']:
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| 191 | print msg
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| 192 | else:
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| 193 | raise TypeError(msg)
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[102] | 194 | except RuntimeError:
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[718] | 195 | if rcParams['verbose']: print "Couldn't find any match."
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| 196 | else: raise
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[102] | 197 |
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| 198 | def __str__(self):
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[381] | 199 | return sdtable._summary(self,True)
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[102] | 200 |
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[381] | 201 | def summary(self,filename=None, verbose=None):
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[102] | 202 | """
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| 203 | Print a summary of the contents of this scantable.
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| 204 | Parameters:
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| 205 | filename: the name of a file to write the putput to
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| 206 | Default - no file output
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[381] | 207 | verbose: print extra info such as the frequency table
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| 208 | The default (False) is taken from .asaprc
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[102] | 209 | """
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[381] | 210 | info = sdtable._summary(self, verbose)
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| 211 | if verbose is None: verbose = rcParams['scantable.verbosesummary']
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[102] | 212 | if filename is not None:
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[256] | 213 | if filename is "":
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| 214 | filename = 'scantable_summary.txt'
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[415] | 215 | from os.path import expandvars, isdir
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[411] | 216 | filename = expandvars(filename)
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[415] | 217 | if not isdir(filename):
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[413] | 218 | data = open(filename, 'w')
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| 219 | data.write(info)
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| 220 | data.close()
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| 221 | else:
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[718] | 222 | msg = "Illegal file name '%s'." % (filename)
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| 223 | if rcParams['verbose']:
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| 224 | print msg
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| 225 | else:
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| 226 | raise IOError(msg)
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| 227 | if rcParams['verbose']:
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[791] | 228 | try:
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| 229 | from IPython.genutils import page as pager
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| 230 | except ImportError:
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| 231 | from pydoc import pager
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| 232 | pager(info)
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[718] | 233 | else:
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| 234 | return info
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[710] | 235 |
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[553] | 236 | def set_cursor(self, beam=0, IF=0, pol=0):
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[102] | 237 | """
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| 238 | Set the spectrum for individual operations.
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| 239 | Parameters:
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[553] | 240 | beam, IF, pol: a number
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[102] | 241 | Example:
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[256] | 242 | scan.set_cursor(0,0,1)
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[135] | 243 | pol1sig = scan.stats(all=False) # returns std dev for beam=0
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[181] | 244 | # if=0, pol=1
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[102] | 245 | """
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[484] | 246 | varlist = vars()
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[553] | 247 | self.setbeam(beam)
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| 248 | self.setpol(pol)
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| 249 | self.setif(IF)
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[484] | 250 | self._add_history("set_cursor",varlist)
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[102] | 251 | return
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| 252 |
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[256] | 253 | def get_cursor(self):
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[113] | 254 | """
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| 255 | Return/print a the current 'cursor' into the Beam/IF/Pol cube.
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| 256 | Parameters:
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| 257 | none
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| 258 | Returns:
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| 259 | a list of values (currentBeam,currentIF,currentPol)
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| 260 | Example:
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| 261 | none
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| 262 | """
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[102] | 263 | i = self.getbeam()
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| 264 | j = self.getif()
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| 265 | k = self.getpol()
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[721] | 266 | from asap import asaplog
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| 267 | out = "--------------------------------------------------\n"
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| 268 | out += " Cursor position\n"
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| 269 | out += "--------------------------------------------------\n"
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| 270 | out += 'Beam=%d IF=%d Pol=%d ' % (i,j,k)
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| 271 | asaplog.push(out)
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| 272 | print_log()
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| 273 | return i,j,k
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[102] | 274 |
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[436] | 275 | def stats(self, stat='stddev', mask=None, allaxes=None):
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[102] | 276 | """
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[135] | 277 | Determine the specified statistic of the current beam/if/pol
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[102] | 278 | Takes a 'mask' as an optional parameter to specify which
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| 279 | channels should be excluded.
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| 280 | Parameters:
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[135] | 281 | stat: 'min', 'max', 'sumsq', 'sum', 'mean'
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| 282 | 'var', 'stddev', 'avdev', 'rms', 'median'
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| 283 | mask: an optional mask specifying where the statistic
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[102] | 284 | should be determined.
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[436] | 285 | allaxes: if True apply to all spectra. Otherwise
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| 286 | apply only to the selected (beam/pol/if)spectra only.
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| 287 | The default is taken from .asaprc (True if none)
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[102] | 288 | Example:
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[113] | 289 | scan.set_unit('channel')
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[102] | 290 | msk = scan.create_mask([100,200],[500,600])
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[135] | 291 | scan.stats(stat='mean', mask=m)
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[102] | 292 | """
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[436] | 293 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
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[135] | 294 | from asap._asap import stats as _stats
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[256] | 295 | from numarray import array,zeros,Float
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[102] | 296 | if mask == None:
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| 297 | mask = ones(self.nchan())
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[256] | 298 | axes = ['Beam','IF','Pol','Time']
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| 299 |
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[436] | 300 | beamSel,IFSel,polSel = (self.getbeam(),self.getif(),self.getpol())
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| 301 | if allaxes:
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[256] | 302 | n = self.nbeam()*self.nif()*self.npol()*self.nrow()
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| 303 | shp = [self.nbeam(),self.nif(),self.npol(),self.nrow()]
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| 304 | arr = array(zeros(n),shape=shp,type=Float)
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| 305 |
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| 306 | for i in range(self.nbeam()):
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| 307 | self.setbeam(i)
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| 308 | for j in range(self.nif()):
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| 309 | self.setif(j)
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| 310 | for k in range(self.npol()):
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| 311 | self.setpol(k)
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| 312 | arr[i,j,k,:] = _stats(self,mask,stat,-1)
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| 313 | retval = {'axes': axes, 'data': arr, 'cursor':None}
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| 314 | tm = [self._gettime(val) for val in range(self.nrow())]
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[718] | 315 | if rcParams['verbose']:
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[256] | 316 | self._print_values(retval,stat,tm)
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[436] | 317 | self.setbeam(beamSel)
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| 318 | self.setif(IFSel)
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| 319 | self.setpol(polSel)
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[256] | 320 | return retval
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[102] | 321 |
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| 322 | else:
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[241] | 323 | statval = _stats(self,mask,stat,-1)
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[181] | 324 | out = ''
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| 325 | for l in range(self.nrow()):
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| 326 | tm = self._gettime(l)
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| 327 | out += 'Time[%s]:\n' % (tm)
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[436] | 328 | if self.nbeam() > 1: out += ' Beam[%d] ' % (beamSel)
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| 329 | if self.nif() > 1: out += ' IF[%d] ' % (IFSel)
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| 330 | if self.npol() > 1: out += ' Pol[%d] ' % (polSel)
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[181] | 331 | out += '= %3.3f\n' % (statval[l])
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| 332 | out += "--------------------------------------------------\n"
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[226] | 333 |
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[718] | 334 | if rcParams['verbose']:
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[181] | 335 | print "--------------------------------------------------"
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| 336 | print " ",stat
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| 337 | print "--------------------------------------------------"
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| 338 | print out
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[256] | 339 | retval = {'axes': axes, 'data': array(statval), 'cursor':(i,j,k)}
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| 340 | return retval
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[102] | 341 |
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[436] | 342 | def stddev(self,mask=None, allaxes=None):
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[135] | 343 | """
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| 344 | Determine the standard deviation of the current beam/if/pol
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| 345 | Takes a 'mask' as an optional parameter to specify which
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| 346 | channels should be excluded.
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| 347 | Parameters:
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| 348 | mask: an optional mask specifying where the standard
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| 349 | deviation should be determined.
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[436] | 350 | allaxes: optional flag to show all or a cursor selected
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[226] | 351 | spectrum of Beam/IF/Pol. Default is all or taken
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| 352 | from .asaprc
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[135] | 353 |
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| 354 | Example:
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| 355 | scan.set_unit('channel')
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| 356 | msk = scan.create_mask([100,200],[500,600])
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| 357 | scan.stddev(mask=m)
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| 358 | """
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[436] | 359 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
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| 360 | return self.stats(stat='stddev',mask=mask, allaxes=allaxes);
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[135] | 361 |
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[436] | 362 | def get_tsys(self, allaxes=None):
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[113] | 363 | """
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| 364 | Return the System temperatures.
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| 365 | Parameters:
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[436] | 366 | allaxes: if True apply to all spectra. Otherwise
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| 367 | apply only to the selected (beam/pol/if)spectra only.
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| 368 | The default is taken from .asaprc (True if none)
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[113] | 369 | Returns:
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| 370 | a list of Tsys values.
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| 371 | """
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[436] | 372 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
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[256] | 373 | from numarray import array,zeros,Float
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| 374 | axes = ['Beam','IF','Pol','Time']
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| 375 |
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[436] | 376 | if allaxes:
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[256] | 377 | n = self.nbeam()*self.nif()*self.npol()*self.nrow()
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| 378 | shp = [self.nbeam(),self.nif(),self.npol(),self.nrow()]
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| 379 | arr = array(zeros(n),shape=shp,type=Float)
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| 380 |
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| 381 | for i in range(self.nbeam()):
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| 382 | self.setbeam(i)
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| 383 | for j in range(self.nif()):
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| 384 | self.setif(j)
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| 385 | for k in range(self.npol()):
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| 386 | self.setpol(k)
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| 387 | arr[i,j,k,:] = self._gettsys()
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| 388 | retval = {'axes': axes, 'data': arr, 'cursor':None}
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| 389 | tm = [self._gettime(val) for val in range(self.nrow())]
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[718] | 390 | if rcParams['verbose']:
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[256] | 391 | self._print_values(retval,'Tsys',tm)
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| 392 | return retval
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| 393 |
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[102] | 394 | else:
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[256] | 395 | i,j,k = (self.getbeam(),self.getif(),self.getpol())
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| 396 | statval = self._gettsys()
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[181] | 397 | out = ''
|
---|
| 398 | for l in range(self.nrow()):
|
---|
| 399 | tm = self._gettime(l)
|
---|
| 400 | out += 'Time[%s]:\n' % (tm)
|
---|
| 401 | if self.nbeam() > 1: out += ' Beam[%d] ' % (i)
|
---|
| 402 | if self.nif() > 1: out += ' IF[%d] ' % (j)
|
---|
| 403 | if self.npol() > 1: out += ' Pol[%d] ' % (k)
|
---|
[256] | 404 | out += '= %3.3f\n' % (statval[l])
|
---|
| 405 | out += "--------------------------------------------------\n"
|
---|
| 406 |
|
---|
[718] | 407 | if rcParams['verbose']:
|
---|
[181] | 408 | print "--------------------------------------------------"
|
---|
[256] | 409 | print " TSys"
|
---|
[181] | 410 | print "--------------------------------------------------"
|
---|
| 411 | print out
|
---|
[256] | 412 | retval = {'axes': axes, 'data': array(statval), 'cursor':(i,j,k)}
|
---|
| 413 | return retval
|
---|
[710] | 414 |
|
---|
[407] | 415 | def get_time(self, row=-1):
|
---|
[113] | 416 | """
|
---|
| 417 | Get a list of time stamps for the observations.
|
---|
[181] | 418 | Return a string for each integration in the scantable.
|
---|
[113] | 419 | Parameters:
|
---|
[407] | 420 | row: row no of integration. Default -1 return all rows
|
---|
[113] | 421 | Example:
|
---|
| 422 | none
|
---|
| 423 | """
|
---|
| 424 | out = []
|
---|
[407] | 425 | if row == -1:
|
---|
| 426 | for i in range(self.nrow()):
|
---|
| 427 | out.append(self._gettime(i))
|
---|
| 428 | return out
|
---|
| 429 | else:
|
---|
| 430 | if row < self.nrow():
|
---|
| 431 | return self._gettime(row)
|
---|
[102] | 432 |
|
---|
[714] | 433 | def get_sourcename(self, row=-1):
|
---|
| 434 | """
|
---|
[787] | 435 | Get a list source names for the observations.
|
---|
[714] | 436 | Return a string for each integration in the scantable.
|
---|
| 437 | Parameters:
|
---|
| 438 | row: row no of integration. Default -1 return all rows
|
---|
| 439 | Example:
|
---|
| 440 | none
|
---|
| 441 | """
|
---|
| 442 | out = []
|
---|
| 443 | if row == -1:
|
---|
| 444 | return [self._getsourcename(i) for i in range(self.nrow())]
|
---|
| 445 | else:
|
---|
| 446 | if 0 <= row < self.nrow():
|
---|
| 447 | return self._getsourcename(row)
|
---|
| 448 |
|
---|
[787] | 449 | def get_elevation(self, row=-1):
|
---|
| 450 | """
|
---|
| 451 | Get a list of elevations for the observations.
|
---|
| 452 | Return a float for each integration in the scantable.
|
---|
| 453 | Parameters:
|
---|
| 454 | row: row no of integration. Default -1 return all rows
|
---|
| 455 | Example:
|
---|
| 456 | none
|
---|
| 457 | """
|
---|
| 458 | out = []
|
---|
| 459 | if row == -1:
|
---|
| 460 | return [self._getelevation(i) for i in range(self.nrow())]
|
---|
| 461 | else:
|
---|
| 462 | if 0 <= row < self.nrow():
|
---|
| 463 | return self._getelevation(row)
|
---|
| 464 |
|
---|
[788] | 465 | def get_azimuth(self, row=-1):
|
---|
[787] | 466 | """
|
---|
| 467 | Get a list of azimuths for the observations.
|
---|
| 468 | Return a float for each integration in the scantable.
|
---|
| 469 | Parameters:
|
---|
| 470 | row: row no of integration. Default -1 return all rows
|
---|
| 471 | Example:
|
---|
| 472 | none
|
---|
| 473 | """
|
---|
| 474 | out = []
|
---|
| 475 | if row == -1:
|
---|
| 476 | return [self._getazimuth(i) for i in range(self.nrow())]
|
---|
| 477 | else:
|
---|
| 478 | if 0 <= row < self.nrow():
|
---|
| 479 | return self._getazimuth(row)
|
---|
| 480 |
|
---|
| 481 | def get_parangle(self, row=-1):
|
---|
| 482 | """
|
---|
| 483 | Get a list of parallactic angles for the observations.
|
---|
| 484 | Return a float for each integration in the scantable.
|
---|
| 485 | Parameters:
|
---|
| 486 | row: row no of integration. Default -1 return all rows
|
---|
| 487 | Example:
|
---|
| 488 | none
|
---|
| 489 | """
|
---|
| 490 | out = []
|
---|
| 491 | if row == -1:
|
---|
| 492 | return [self._getparangle(i) for i in range(self.nrow())]
|
---|
| 493 | else:
|
---|
| 494 | if 0 <= row < self.nrow():
|
---|
| 495 | return self._getparangle(row)
|
---|
| 496 |
|
---|
[102] | 497 | def set_unit(self, unit='channel'):
|
---|
| 498 | """
|
---|
| 499 | Set the unit for all following operations on this scantable
|
---|
| 500 | Parameters:
|
---|
| 501 | unit: optional unit, default is 'channel'
|
---|
[113] | 502 | one of '*Hz','km/s','channel', ''
|
---|
[102] | 503 | """
|
---|
[484] | 504 | varlist = vars()
|
---|
[113] | 505 | if unit in ['','pixel', 'channel']:
|
---|
| 506 | unit = ''
|
---|
| 507 | inf = list(self._getcoordinfo())
|
---|
| 508 | inf[0] = unit
|
---|
| 509 | self._setcoordinfo(inf)
|
---|
| 510 | if self._p: self.plot()
|
---|
[484] | 511 | self._add_history("set_unit",varlist)
|
---|
[113] | 512 |
|
---|
[484] | 513 | def set_instrument(self, instr):
|
---|
[358] | 514 | """
|
---|
| 515 | Set the instrument for subsequent processing
|
---|
| 516 | Parameters:
|
---|
[710] | 517 | instr: Select from 'ATPKSMB', 'ATPKSHOH', 'ATMOPRA',
|
---|
[407] | 518 | 'DSS-43' (Tid), 'CEDUNA', and 'HOBART'
|
---|
[358] | 519 | """
|
---|
| 520 | self._setInstrument(instr)
|
---|
[484] | 521 | self._add_history("set_instument",vars())
|
---|
[718] | 522 | print_log()
|
---|
[358] | 523 |
|
---|
[276] | 524 | def set_doppler(self, doppler='RADIO'):
|
---|
| 525 | """
|
---|
| 526 | Set the doppler for all following operations on this scantable.
|
---|
| 527 | Parameters:
|
---|
| 528 | doppler: One of 'RADIO', 'OPTICAL', 'Z', 'BETA', 'GAMMA'
|
---|
| 529 | """
|
---|
[484] | 530 | varlist = vars()
|
---|
[276] | 531 | inf = list(self._getcoordinfo())
|
---|
| 532 | inf[2] = doppler
|
---|
| 533 | self._setcoordinfo(inf)
|
---|
| 534 | if self._p: self.plot()
|
---|
[484] | 535 | self._add_history("set_doppler",vars())
|
---|
[718] | 536 | print_log()
|
---|
[710] | 537 |
|
---|
[226] | 538 | def set_freqframe(self, frame=None):
|
---|
[113] | 539 | """
|
---|
| 540 | Set the frame type of the Spectral Axis.
|
---|
| 541 | Parameters:
|
---|
[591] | 542 | frame: an optional frame type, default 'LSRK'. Valid frames are:
|
---|
| 543 | 'REST','TOPO','LSRD','LSRK','BARY',
|
---|
| 544 | 'GEO','GALACTO','LGROUP','CMB'
|
---|
[113] | 545 | Examples:
|
---|
| 546 | scan.set_freqframe('BARY')
|
---|
| 547 | """
|
---|
[484] | 548 | if frame is None: frame = rcParams['scantable.freqframe']
|
---|
| 549 | varlist = vars()
|
---|
[113] | 550 | valid = ['REST','TOPO','LSRD','LSRK','BARY', \
|
---|
| 551 | 'GEO','GALACTO','LGROUP','CMB']
|
---|
[591] | 552 |
|
---|
[113] | 553 | if frame in valid:
|
---|
| 554 | inf = list(self._getcoordinfo())
|
---|
| 555 | inf[1] = frame
|
---|
| 556 | self._setcoordinfo(inf)
|
---|
[484] | 557 | self._add_history("set_freqframe",varlist)
|
---|
[102] | 558 | else:
|
---|
[718] | 559 | msg = "Please specify a valid freq type. Valid types are:\n",valid
|
---|
| 560 | if rcParams['verbose']:
|
---|
| 561 | print msg
|
---|
| 562 | else:
|
---|
| 563 | raise TypeError(msg)
|
---|
| 564 | print_log()
|
---|
[710] | 565 |
|
---|
[113] | 566 | def get_unit(self):
|
---|
| 567 | """
|
---|
| 568 | Get the default unit set in this scantable
|
---|
| 569 | Parameters:
|
---|
| 570 | Returns:
|
---|
| 571 | A unit string
|
---|
| 572 | """
|
---|
| 573 | inf = self._getcoordinfo()
|
---|
| 574 | unit = inf[0]
|
---|
| 575 | if unit == '': unit = 'channel'
|
---|
| 576 | return unit
|
---|
[102] | 577 |
|
---|
[158] | 578 | def get_abcissa(self, rowno=0):
|
---|
[102] | 579 | """
|
---|
[158] | 580 | Get the abcissa in the current coordinate setup for the currently
|
---|
[113] | 581 | selected Beam/IF/Pol
|
---|
| 582 | Parameters:
|
---|
[226] | 583 | rowno: an optional row number in the scantable. Default is the
|
---|
| 584 | first row, i.e. rowno=0
|
---|
[113] | 585 | Returns:
|
---|
[407] | 586 | The abcissa values and it's format string (as a dictionary)
|
---|
[113] | 587 | """
|
---|
[256] | 588 | abc = self._getabcissa(rowno)
|
---|
[710] | 589 | lbl = self._getabcissalabel(rowno)
|
---|
[718] | 590 | print_log()
|
---|
[158] | 591 | return abc, lbl
|
---|
[113] | 592 |
|
---|
| 593 | def create_mask(self, *args, **kwargs):
|
---|
| 594 | """
|
---|
[102] | 595 | Compute and return a mask based on [min,max] windows.
|
---|
[189] | 596 | The specified windows are to be INCLUDED, when the mask is
|
---|
[113] | 597 | applied.
|
---|
[102] | 598 | Parameters:
|
---|
| 599 | [min,max],[min2,max2],...
|
---|
| 600 | Pairs of start/end points specifying the regions
|
---|
| 601 | to be masked
|
---|
[189] | 602 | invert: optional argument. If specified as True,
|
---|
| 603 | return an inverted mask, i.e. the regions
|
---|
| 604 | specified are EXCLUDED
|
---|
[513] | 605 | row: create the mask using the specified row for
|
---|
| 606 | unit conversions, default is row=0
|
---|
| 607 | only necessary if frequency varies over rows.
|
---|
[102] | 608 | Example:
|
---|
[113] | 609 | scan.set_unit('channel')
|
---|
| 610 |
|
---|
| 611 | a)
|
---|
[102] | 612 | msk = scan.set_mask([400,500],[800,900])
|
---|
[189] | 613 | # masks everything outside 400 and 500
|
---|
[113] | 614 | # and 800 and 900 in the unit 'channel'
|
---|
| 615 |
|
---|
| 616 | b)
|
---|
| 617 | msk = scan.set_mask([400,500],[800,900], invert=True)
|
---|
[189] | 618 | # masks the regions between 400 and 500
|
---|
[113] | 619 | # and 800 and 900 in the unit 'channel'
|
---|
[710] | 620 |
|
---|
[102] | 621 | """
|
---|
[513] | 622 | row = 0
|
---|
| 623 | if kwargs.has_key("row"):
|
---|
| 624 | row = kwargs.get("row")
|
---|
| 625 | data = self._getabcissa(row)
|
---|
[113] | 626 | u = self._getcoordinfo()[0]
|
---|
[718] | 627 | if rcParams['verbose']:
|
---|
[113] | 628 | if u == "": u = "channel"
|
---|
[718] | 629 | from asap import asaplog
|
---|
| 630 | msg = "The current mask window unit is %s" % u
|
---|
| 631 | asaplog.push(msg)
|
---|
[102] | 632 | n = self.nchan()
|
---|
[189] | 633 | msk = zeros(n)
|
---|
[710] | 634 | # test if args is a 'list' or a 'normal *args - UGLY!!!
|
---|
| 635 |
|
---|
| 636 | ws = (isinstance(args[-1][-1],int) or isinstance(args[-1][-1],float)) and args or args[0]
|
---|
| 637 | for window in ws:
|
---|
[102] | 638 | if (len(window) != 2 or window[0] > window[1] ):
|
---|
[718] | 639 | raise TypeError("A window needs to be defined as [min,max]")
|
---|
[102] | 640 | for i in range(n):
|
---|
[113] | 641 | if data[i] >= window[0] and data[i] < window[1]:
|
---|
[189] | 642 | msk[i] = 1
|
---|
[113] | 643 | if kwargs.has_key('invert'):
|
---|
| 644 | if kwargs.get('invert'):
|
---|
| 645 | from numarray import logical_not
|
---|
[710] | 646 | msk = logical_not(msk)
|
---|
[718] | 647 | print_log()
|
---|
[102] | 648 | return msk
|
---|
[710] | 649 |
|
---|
[256] | 650 | def get_restfreqs(self):
|
---|
| 651 | """
|
---|
| 652 | Get the restfrequency(s) stored in this scantable.
|
---|
| 653 | The return value(s) are always of unit 'Hz'
|
---|
| 654 | Parameters:
|
---|
| 655 | none
|
---|
| 656 | Returns:
|
---|
| 657 | a list of doubles
|
---|
| 658 | """
|
---|
| 659 | return list(self._getrestfreqs())
|
---|
[102] | 660 |
|
---|
[402] | 661 | def lines(self):
|
---|
[391] | 662 | """
|
---|
[402] | 663 | Print the list of known spectral lines
|
---|
| 664 | """
|
---|
[714] | 665 | l = sdtable._lines(self)
|
---|
| 666 | if rcParams['verbose']:
|
---|
| 667 | print l
|
---|
| 668 | else:
|
---|
| 669 | return l
|
---|
[402] | 670 |
|
---|
[484] | 671 | def set_restfreqs(self, freqs=None, unit='Hz', lines=None, source=None,
|
---|
| 672 | theif=None):
|
---|
[402] | 673 | """
|
---|
[393] | 674 | Select the restfrequency for the specified source and IF OR
|
---|
| 675 | replace for all IFs. If the 'freqs' argument holds a scalar,
|
---|
| 676 | then that rest frequency will be applied to the selected
|
---|
| 677 | data (and added to the list of available rest frequencies).
|
---|
| 678 | In this way, you can set a rest frequency for each
|
---|
| 679 | source and IF combination. If the 'freqs' argument holds
|
---|
| 680 | a vector, then it MUST be of length the number of IFs
|
---|
| 681 | (and the available restfrequencies will be replaced by
|
---|
[710] | 682 | this vector). In this case, *all* data ('source' and
|
---|
| 683 | 'theif' are ignored) have the restfrequency set per IF according
|
---|
| 684 | to the corresponding value you give in the 'freqs' vector.
|
---|
| 685 | E.g. 'freqs=[1e9,2e9]' would mean IF 0 gets restfreq 1e9 and
|
---|
[393] | 686 | IF 1 gets restfreq 2e9.
|
---|
[402] | 687 |
|
---|
| 688 | You can also specify the frequencies via known line names
|
---|
| 689 | in the argument 'lines'. Use 'freqs' or 'lines'. 'freqs'
|
---|
| 690 | takes precedence. See the list of known names via function
|
---|
| 691 | scantable.lines()
|
---|
[391] | 692 | Parameters:
|
---|
[402] | 693 | freqs: list of rest frequencies
|
---|
[393] | 694 | unit: unit for rest frequency (default 'Hz')
|
---|
[402] | 695 | lines: list of known spectral lines names (alternative to freqs).
|
---|
| 696 | See possible list via scantable.lines()
|
---|
[391] | 697 | source: Source name (blank means all)
|
---|
| 698 | theif: IF (-1 means all)
|
---|
| 699 | Example:
|
---|
[393] | 700 | scan.set_restfreqs(freqs=1.4e9, source='NGC253', theif=2)
|
---|
| 701 | scan.set_restfreqs(freqs=[1.4e9,1.67e9])
|
---|
[391] | 702 | """
|
---|
[484] | 703 | varlist = vars()
|
---|
[391] | 704 | if source is None:
|
---|
| 705 | source = ""
|
---|
| 706 | if theif is None:
|
---|
| 707 | theif = -1
|
---|
[393] | 708 | t = type(freqs)
|
---|
| 709 | if t is int or t is float:
|
---|
| 710 | freqs = [freqs]
|
---|
[402] | 711 | if freqs is None:
|
---|
| 712 | freqs = []
|
---|
| 713 | t = type(lines)
|
---|
| 714 | if t is str:
|
---|
| 715 | lines = [lines]
|
---|
| 716 | if lines is None:
|
---|
| 717 | lines = []
|
---|
| 718 | sdtable._setrestfreqs(self, freqs, unit, lines, source, theif)
|
---|
[484] | 719 | self._add_history("set_restfreqs", varlist)
|
---|
[391] | 720 |
|
---|
| 721 |
|
---|
[710] | 722 |
|
---|
[800] | 723 | def flag_spectrum(self, flags, row=-1, allaxes=None):
|
---|
[102] | 724 | """
|
---|
| 725 | This flags a selected spectrum in the scan 'for good'.
|
---|
| 726 | USE WITH CARE - not reversible.
|
---|
| 727 | Use masks for non-permanent exclusion of channels.
|
---|
| 728 | Parameters:
|
---|
[800] | 729 | flags: a mask created with scantable.create_mask
|
---|
| 730 | row: the number of the row (intergration) to flag,
|
---|
| 731 | the deafult is -1, which is ALL rows.
|
---|
| 732 | allaxes: if True apply to all spectra. Otherwise
|
---|
| 733 | apply only to the selected (beam/pol/if)spectra only
|
---|
| 734 | The default is taken from .asaprc (True if none)
|
---|
[102] | 735 | Example:
|
---|
[800] | 736 | scan.flag_spectrum() # flags everything, not very useful
|
---|
| 737 | msk = scan.create_mask([511,513])
|
---|
| 738 | scan,set_cursor(IF=1)
|
---|
| 739 | scan.flag_spectrum(msk, allaxes=False)
|
---|
| 740 | # flags the central three channels for all rows in the table,
|
---|
| 741 | # using the selected IF only (e.g. a birdie)
|
---|
[102] | 742 | """
|
---|
[800] | 743 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
| 744 | if len(flags) != self.nchan():
|
---|
| 745 | msg = "Length of mask invalid.",valid
|
---|
| 746 | if rcParams['verbose']:
|
---|
| 747 | print msg
|
---|
| 748 | return
|
---|
| 749 | else:
|
---|
| 750 | raise AssertionError(msg)
|
---|
| 751 | rows = range(self.nrow())
|
---|
| 752 | if row > -1: rows = [row]
|
---|
| 753 | for r in rows:
|
---|
| 754 | if allaxes:
|
---|
| 755 | beamSel,IFSel,polSel = (self.getbeam(),self.getif(),self.getpol())
|
---|
| 756 | for i in range(self.nbeam()):
|
---|
| 757 | self.setbeam(i)
|
---|
| 758 | for j in range(self.nif()):
|
---|
| 759 | self.setif(j)
|
---|
| 760 | for k in range(self.npol()):
|
---|
| 761 | self.setpol(k)
|
---|
| 762 | sdtable._flagspectrum(self, flags, r)
|
---|
| 763 | self.setbeam(beamSel)
|
---|
| 764 | self.setif(IFSel)
|
---|
| 765 | self.setpol(polSel)
|
---|
| 766 | else:
|
---|
| 767 | sdtable._flagspectrum(self, flags, r)
|
---|
| 768 | self._add_history("flag_spectrum", vars())
|
---|
[102] | 769 | return
|
---|
[113] | 770 |
|
---|
[256] | 771 | def _print_values(self, dat, label='', timestamps=[]):
|
---|
| 772 | d = dat['data']
|
---|
| 773 | a = dat['axes']
|
---|
| 774 | shp = d.getshape()
|
---|
| 775 | out = ''
|
---|
| 776 | for i in range(shp[3]):
|
---|
| 777 | out += '%s [%s]:\n' % (a[3],timestamps[i])
|
---|
| 778 | t = d[:,:,:,i]
|
---|
| 779 | for j in range(shp[0]):
|
---|
| 780 | if shp[0] > 1: out += ' %s[%d] ' % (a[0],j)
|
---|
| 781 | for k in range(shp[1]):
|
---|
| 782 | if shp[1] > 1: out += ' %s[%d] ' % (a[1],k)
|
---|
| 783 | for l in range(shp[2]):
|
---|
| 784 | if shp[2] > 1: out += ' %s[%d] ' % (a[2],l)
|
---|
| 785 | out += '= %3.3f\n' % (t[j,k,l])
|
---|
[484] | 786 | out += "-"*80
|
---|
| 787 | out += "\n"
|
---|
| 788 | print "-"*80
|
---|
[256] | 789 | print " ", label
|
---|
[484] | 790 | print "-"*80
|
---|
[710] | 791 | print out
|
---|
[484] | 792 |
|
---|
| 793 | def history(self):
|
---|
| 794 | hist = list(self._gethistory())
|
---|
[791] | 795 | out = "-"*80
|
---|
[484] | 796 | for h in hist:
|
---|
[489] | 797 | if h.startswith("---"):
|
---|
[791] | 798 | out += "\n"+h
|
---|
[489] | 799 | else:
|
---|
| 800 | items = h.split("##")
|
---|
| 801 | date = items[0]
|
---|
| 802 | func = items[1]
|
---|
| 803 | items = items[2:]
|
---|
[791] | 804 | out += "\n"+date+"\n"
|
---|
| 805 | out += "Function: %s\n Parameters:" % (func)
|
---|
[489] | 806 | for i in items:
|
---|
| 807 | s = i.split("=")
|
---|
[791] | 808 | out += "\n %s = %s" % (s[0],s[1])
|
---|
| 809 | out += "\n"+"-"*80
|
---|
| 810 | try:
|
---|
| 811 | from IPython.genutils import page as pager
|
---|
| 812 | except ImportError:
|
---|
| 813 | from pydoc import pager
|
---|
| 814 | pager(out)
|
---|
[484] | 815 | return
|
---|
| 816 |
|
---|
[513] | 817 | #
|
---|
| 818 | # Maths business
|
---|
| 819 | #
|
---|
| 820 |
|
---|
[558] | 821 | def average_time(self, mask=None, scanav=False, weight='tint'):
|
---|
[513] | 822 | """
|
---|
| 823 | Return the (time) average of a scan, or apply it 'insitu'.
|
---|
| 824 | Note:
|
---|
| 825 | in channels only
|
---|
| 826 | The cursor of the output scan is set to 0.
|
---|
| 827 | Parameters:
|
---|
| 828 | one scan or comma separated scans
|
---|
| 829 | mask: an optional mask (only used for 'var' and 'tsys'
|
---|
| 830 | weighting)
|
---|
[558] | 831 | scanav: True averages each scan separately
|
---|
| 832 | False (default) averages all scans together,
|
---|
[524] | 833 | weight: Weighting scheme. 'none', 'var' (1/var(spec)
|
---|
[535] | 834 | weighted), 'tsys' (1/Tsys**2 weighted), 'tint'
|
---|
| 835 | (integration time weighted) or 'tintsys' (Tint/Tsys**2).
|
---|
| 836 | The default is 'tint'
|
---|
[513] | 837 | Example:
|
---|
| 838 | # time average the scantable without using a mask
|
---|
[710] | 839 | newscan = scan.average_time()
|
---|
[513] | 840 | """
|
---|
| 841 | varlist = vars()
|
---|
[524] | 842 | if weight is None: weight = 'tint'
|
---|
[513] | 843 | if mask is None: mask = ()
|
---|
[710] | 844 | from asap._asap import average as _av
|
---|
[513] | 845 | s = scantable(_av((self,), mask, scanav, weight))
|
---|
| 846 | s._add_history("average_time",varlist)
|
---|
[718] | 847 | print_log()
|
---|
[513] | 848 | return s
|
---|
[710] | 849 |
|
---|
[513] | 850 | def convert_flux(self, jyperk=None, eta=None, d=None, insitu=None,
|
---|
| 851 | allaxes=None):
|
---|
| 852 | """
|
---|
| 853 | Return a scan where all spectra are converted to either
|
---|
| 854 | Jansky or Kelvin depending upon the flux units of the scan table.
|
---|
| 855 | By default the function tries to look the values up internally.
|
---|
| 856 | If it can't find them (or if you want to over-ride), you must
|
---|
| 857 | specify EITHER jyperk OR eta (and D which it will try to look up
|
---|
| 858 | also if you don't set it). jyperk takes precedence if you set both.
|
---|
| 859 | Parameters:
|
---|
| 860 | jyperk: the Jy / K conversion factor
|
---|
| 861 | eta: the aperture efficiency
|
---|
| 862 | d: the geomtric diameter (metres)
|
---|
| 863 | insitu: if False a new scantable is returned.
|
---|
| 864 | Otherwise, the scaling is done in-situ
|
---|
| 865 | The default is taken from .asaprc (False)
|
---|
[800] | 866 | allaxes: if True apply to all spectra. Otherwise
|
---|
[513] | 867 | apply only to the selected (beam/pol/if)spectra only
|
---|
| 868 | The default is taken from .asaprc (True if none)
|
---|
| 869 | """
|
---|
| 870 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
| 871 | if insitu is None: insitu = rcParams['insitu']
|
---|
| 872 | varlist = vars()
|
---|
| 873 | if jyperk is None: jyperk = -1.0
|
---|
| 874 | if d is None: d = -1.0
|
---|
| 875 | if eta is None: eta = -1.0
|
---|
| 876 | if not insitu:
|
---|
| 877 | from asap._asap import convertflux as _convert
|
---|
| 878 | s = scantable(_convert(self, d, eta, jyperk, allaxes))
|
---|
| 879 | s._add_history("convert_flux", varlist)
|
---|
[718] | 880 | print_log()
|
---|
[513] | 881 | return s
|
---|
| 882 | else:
|
---|
| 883 | from asap._asap import convertflux_insitu as _convert
|
---|
| 884 | _convert(self, d, eta, jyperk, allaxes)
|
---|
| 885 | self._add_history("convert_flux", varlist)
|
---|
[718] | 886 | print_log()
|
---|
[513] | 887 | return
|
---|
| 888 |
|
---|
| 889 | def gain_el(self, poly=None, filename="", method="linear",
|
---|
| 890 | insitu=None, allaxes=None):
|
---|
| 891 | """
|
---|
| 892 | Return a scan after applying a gain-elevation correction.
|
---|
| 893 | The correction can be made via either a polynomial or a
|
---|
| 894 | table-based interpolation (and extrapolation if necessary).
|
---|
| 895 | You specify polynomial coefficients, an ascii table or neither.
|
---|
| 896 | If you specify neither, then a polynomial correction will be made
|
---|
| 897 | with built in coefficients known for certain telescopes (an error
|
---|
| 898 | will occur if the instrument is not known).
|
---|
| 899 | The data and Tsys are *divided* by the scaling factors.
|
---|
| 900 | Parameters:
|
---|
| 901 | poly: Polynomial coefficients (default None) to compute a
|
---|
| 902 | gain-elevation correction as a function of
|
---|
| 903 | elevation (in degrees).
|
---|
| 904 | filename: The name of an ascii file holding correction factors.
|
---|
| 905 | The first row of the ascii file must give the column
|
---|
| 906 | names and these MUST include columns
|
---|
| 907 | "ELEVATION" (degrees) and "FACTOR" (multiply data
|
---|
| 908 | by this) somewhere.
|
---|
| 909 | The second row must give the data type of the
|
---|
| 910 | column. Use 'R' for Real and 'I' for Integer.
|
---|
| 911 | An example file would be
|
---|
| 912 | (actual factors are arbitrary) :
|
---|
| 913 |
|
---|
| 914 | TIME ELEVATION FACTOR
|
---|
| 915 | R R R
|
---|
| 916 | 0.1 0 0.8
|
---|
| 917 | 0.2 20 0.85
|
---|
| 918 | 0.3 40 0.9
|
---|
| 919 | 0.4 60 0.85
|
---|
| 920 | 0.5 80 0.8
|
---|
| 921 | 0.6 90 0.75
|
---|
| 922 | method: Interpolation method when correcting from a table.
|
---|
| 923 | Values are "nearest", "linear" (default), "cubic"
|
---|
| 924 | and "spline"
|
---|
| 925 | insitu: if False a new scantable is returned.
|
---|
| 926 | Otherwise, the scaling is done in-situ
|
---|
| 927 | The default is taken from .asaprc (False)
|
---|
| 928 | allaxes: If True apply to all spectra. Otherwise
|
---|
| 929 | apply only to the selected (beam/pol/if) spectra only
|
---|
| 930 | The default is taken from .asaprc (True if none)
|
---|
| 931 | """
|
---|
| 932 |
|
---|
| 933 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
| 934 | if insitu is None: insitu = rcParams['insitu']
|
---|
| 935 | varlist = vars()
|
---|
| 936 | if poly is None:
|
---|
| 937 | poly = ()
|
---|
| 938 | from os.path import expandvars
|
---|
| 939 | filename = expandvars(filename)
|
---|
| 940 | if not insitu:
|
---|
| 941 | from asap._asap import gainel as _gainEl
|
---|
| 942 | s = scantable(_gainEl(self, poly, filename, method, allaxes))
|
---|
| 943 | s._add_history("gain_el", varlist)
|
---|
[718] | 944 | print_log()
|
---|
[513] | 945 | return s
|
---|
| 946 | else:
|
---|
| 947 | from asap._asap import gainel_insitu as _gainEl
|
---|
| 948 | _gainEl(self, poly, filename, method, allaxes)
|
---|
| 949 | self._add_history("gain_el", varlist)
|
---|
[718] | 950 | print_log()
|
---|
[513] | 951 | return
|
---|
[710] | 952 |
|
---|
[513] | 953 | def freq_align(self, reftime=None, method='cubic', perif=False,
|
---|
| 954 | insitu=None):
|
---|
| 955 | """
|
---|
| 956 | Return a scan where all rows have been aligned in frequency/velocity.
|
---|
| 957 | The alignment frequency frame (e.g. LSRK) is that set by function
|
---|
| 958 | set_freqframe.
|
---|
| 959 | Parameters:
|
---|
| 960 | reftime: reference time to align at. By default, the time of
|
---|
| 961 | the first row of data is used.
|
---|
| 962 | method: Interpolation method for regridding the spectra.
|
---|
| 963 | Choose from "nearest", "linear", "cubic" (default)
|
---|
| 964 | and "spline"
|
---|
| 965 | perif: Generate aligners per freqID (no doppler tracking) or
|
---|
| 966 | per IF (scan-based doppler tracking)
|
---|
| 967 | insitu: if False a new scantable is returned.
|
---|
| 968 | Otherwise, the scaling is done in-situ
|
---|
| 969 | The default is taken from .asaprc (False)
|
---|
| 970 | """
|
---|
| 971 | if insitu is None: insitu = rcParams['insitu']
|
---|
| 972 | varlist = vars()
|
---|
| 973 | if reftime is None: reftime = ''
|
---|
| 974 | perfreqid = not perif
|
---|
| 975 | if not insitu:
|
---|
| 976 | from asap._asap import freq_align as _align
|
---|
| 977 | s = scantable(_align(self, reftime, method, perfreqid))
|
---|
| 978 | s._add_history("freq_align", varlist)
|
---|
[718] | 979 | print_log()
|
---|
[513] | 980 | return s
|
---|
| 981 | else:
|
---|
| 982 | from asap._asap import freq_align_insitu as _align
|
---|
| 983 | _align(self, reftime, method, perfreqid)
|
---|
| 984 | self._add_history("freq_align", varlist)
|
---|
[718] | 985 | print_log()
|
---|
[513] | 986 | return
|
---|
| 987 |
|
---|
| 988 | def opacity(self, tau, insitu=None, allaxes=None):
|
---|
| 989 | """
|
---|
| 990 | Apply an opacity correction. The data
|
---|
| 991 | and Tsys are multiplied by the correction factor.
|
---|
| 992 | Parameters:
|
---|
| 993 | tau: Opacity from which the correction factor is
|
---|
| 994 | exp(tau*ZD)
|
---|
| 995 | where ZD is the zenith-distance
|
---|
| 996 | insitu: if False a new scantable is returned.
|
---|
| 997 | Otherwise, the scaling is done in-situ
|
---|
| 998 | The default is taken from .asaprc (False)
|
---|
| 999 | allaxes: if True apply to all spectra. Otherwise
|
---|
| 1000 | apply only to the selected (beam/pol/if)spectra only
|
---|
| 1001 | The default is taken from .asaprc (True if none)
|
---|
| 1002 | """
|
---|
| 1003 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
| 1004 | if insitu is None: insitu = rcParams['insitu']
|
---|
| 1005 | varlist = vars()
|
---|
| 1006 | if not insitu:
|
---|
| 1007 | from asap._asap import opacity as _opacity
|
---|
| 1008 | s = scantable(_opacity(self, tau, allaxes))
|
---|
| 1009 | s._add_history("opacity", varlist)
|
---|
[718] | 1010 | print_log()
|
---|
[513] | 1011 | return s
|
---|
| 1012 | else:
|
---|
| 1013 | from asap._asap import opacity_insitu as _opacity
|
---|
| 1014 | _opacity(self, tau, allaxes)
|
---|
| 1015 | self._add_history("opacity", varlist)
|
---|
[718] | 1016 | print_log()
|
---|
[513] | 1017 | return
|
---|
| 1018 |
|
---|
| 1019 | def bin(self, width=5, insitu=None):
|
---|
| 1020 | """
|
---|
| 1021 | Return a scan where all spectra have been binned up.
|
---|
| 1022 | width: The bin width (default=5) in pixels
|
---|
| 1023 | insitu: if False a new scantable is returned.
|
---|
| 1024 | Otherwise, the scaling is done in-situ
|
---|
| 1025 | The default is taken from .asaprc (False)
|
---|
| 1026 | """
|
---|
| 1027 | if insitu is None: insitu = rcParams['insitu']
|
---|
| 1028 | varlist = vars()
|
---|
| 1029 | if not insitu:
|
---|
| 1030 | from asap._asap import bin as _bin
|
---|
| 1031 | s = scantable(_bin(self, width))
|
---|
| 1032 | s._add_history("bin",varlist)
|
---|
[718] | 1033 | print_log()
|
---|
[513] | 1034 | return s
|
---|
| 1035 | else:
|
---|
| 1036 | from asap._asap import bin_insitu as _bin
|
---|
| 1037 | _bin(self, width)
|
---|
| 1038 | self._add_history("bin",varlist)
|
---|
[718] | 1039 | print_log()
|
---|
[513] | 1040 | return
|
---|
| 1041 |
|
---|
[710] | 1042 |
|
---|
[513] | 1043 | def resample(self, width=5, method='cubic', insitu=None):
|
---|
| 1044 | """
|
---|
| 1045 | Return a scan where all spectra have been binned up
|
---|
| 1046 | width: The bin width (default=5) in pixels
|
---|
| 1047 | method: Interpolation method when correcting from a table.
|
---|
| 1048 | Values are "nearest", "linear", "cubic" (default)
|
---|
| 1049 | and "spline"
|
---|
| 1050 | insitu: if False a new scantable is returned.
|
---|
| 1051 | Otherwise, the scaling is done in-situ
|
---|
| 1052 | The default is taken from .asaprc (False)
|
---|
| 1053 | """
|
---|
| 1054 | if insitu is None: insitu = rcParams['insitu']
|
---|
| 1055 | varlist = vars()
|
---|
| 1056 | if not insitu:
|
---|
| 1057 | from asap._asap import resample as _resample
|
---|
| 1058 | s = scantable(_resample(self, method, width))
|
---|
| 1059 | s._add_history("resample",varlist)
|
---|
[718] | 1060 | print_log()
|
---|
[513] | 1061 | return s
|
---|
| 1062 | else:
|
---|
| 1063 | from asap._asap import resample_insitu as _resample
|
---|
| 1064 | _resample(self, method, width)
|
---|
| 1065 | self._add_history("resample",varlist)
|
---|
[718] | 1066 | print_log()
|
---|
[513] | 1067 | return
|
---|
| 1068 |
|
---|
| 1069 | def average_pol(self, mask=None, weight='none', insitu=None):
|
---|
| 1070 | """
|
---|
| 1071 | Average the Polarisations together.
|
---|
| 1072 | The polarisation cursor of the output scan is set to 0
|
---|
| 1073 | Parameters:
|
---|
| 1074 | mask: An optional mask defining the region, where the
|
---|
| 1075 | averaging will be applied. The output will have all
|
---|
| 1076 | specified points masked.
|
---|
[532] | 1077 | weight: Weighting scheme. 'none' (default), 'var' (1/var(spec)
|
---|
| 1078 | weighted), or 'tsys' (1/Tsys**2 weighted)
|
---|
[513] | 1079 | insitu: if False a new scantable is returned.
|
---|
| 1080 | Otherwise, the scaling is done in-situ
|
---|
| 1081 | The default is taken from .asaprc (False)
|
---|
| 1082 | """
|
---|
| 1083 | if insitu is None: insitu = rcParams['insitu']
|
---|
| 1084 | varlist = vars()
|
---|
| 1085 |
|
---|
| 1086 | if mask is None:
|
---|
| 1087 | mask = ()
|
---|
| 1088 | if not insitu:
|
---|
| 1089 | from asap._asap import averagepol as _avpol
|
---|
| 1090 | s = scantable(_avpol(self, mask, weight))
|
---|
| 1091 | s._add_history("average_pol",varlist)
|
---|
[718] | 1092 | print_log()
|
---|
[513] | 1093 | return s
|
---|
| 1094 | else:
|
---|
| 1095 | from asap._asap import averagepol_insitu as _avpol
|
---|
| 1096 | _avpol(self, mask, weight)
|
---|
| 1097 | self._add_history("average_pol",varlist)
|
---|
[718] | 1098 | print_log()
|
---|
[513] | 1099 | return
|
---|
| 1100 |
|
---|
| 1101 | def smooth(self, kernel="hanning", width=5.0, insitu=None, allaxes=None):
|
---|
| 1102 | """
|
---|
| 1103 | Smooth the spectrum by the specified kernel (conserving flux).
|
---|
| 1104 | Parameters:
|
---|
| 1105 | scan: The input scan
|
---|
| 1106 | kernel: The type of smoothing kernel. Select from
|
---|
| 1107 | 'hanning' (default), 'gaussian' and 'boxcar'.
|
---|
| 1108 | The first three characters are sufficient.
|
---|
| 1109 | width: The width of the kernel in pixels. For hanning this is
|
---|
| 1110 | ignored otherwise it defauls to 5 pixels.
|
---|
| 1111 | For 'gaussian' it is the Full Width Half
|
---|
| 1112 | Maximum. For 'boxcar' it is the full width.
|
---|
| 1113 | insitu: if False a new scantable is returned.
|
---|
| 1114 | Otherwise, the scaling is done in-situ
|
---|
| 1115 | The default is taken from .asaprc (False)
|
---|
| 1116 | allaxes: If True (default) apply to all spectra. Otherwise
|
---|
| 1117 | apply only to the selected (beam/pol/if)spectra only
|
---|
| 1118 | The default is taken from .asaprc (True if none)
|
---|
| 1119 | Example:
|
---|
| 1120 | none
|
---|
| 1121 | """
|
---|
| 1122 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
| 1123 | if insitu is None: insitu = rcParams['insitu']
|
---|
| 1124 | varlist = vars()
|
---|
| 1125 | if not insitu:
|
---|
| 1126 | from asap._asap import smooth as _smooth
|
---|
| 1127 | s = scantable(_smooth(self,kernel,width,allaxes))
|
---|
| 1128 | s._add_history("smooth", varlist)
|
---|
[718] | 1129 | print_log()
|
---|
[513] | 1130 | return s
|
---|
| 1131 | else:
|
---|
| 1132 | from asap._asap import smooth_insitu as _smooth
|
---|
| 1133 | _smooth(self,kernel,width,allaxes)
|
---|
| 1134 | self._add_history("smooth", varlist)
|
---|
[718] | 1135 | print_log()
|
---|
[513] | 1136 | return
|
---|
| 1137 |
|
---|
[785] | 1138 | def poly_baseline(self, mask=None, order=0, insitu=None, allaxes=None):
|
---|
[513] | 1139 | """
|
---|
| 1140 | Return a scan which has been baselined (all rows) by a polynomial.
|
---|
| 1141 | Parameters:
|
---|
[785] | 1142 | scan: a scantable
|
---|
| 1143 | mask: an optional mask
|
---|
| 1144 | order: the order of the polynomial (default is 0)
|
---|
| 1145 | insitu: if False a new scantable is returned.
|
---|
| 1146 | Otherwise, the scaling is done in-situ
|
---|
| 1147 | The default is taken from .asaprc (False)
|
---|
| 1148 | allaxes: If True (default) apply to all spectra. Otherwise
|
---|
| 1149 | apply only to the selected (beam/pol/if)spectra only
|
---|
| 1150 | The default is taken from .asaprc (True if none)
|
---|
[513] | 1151 | Example:
|
---|
| 1152 | # return a scan baselined by a third order polynomial,
|
---|
| 1153 | # not using a mask
|
---|
| 1154 | bscan = scan.poly_baseline(order=3)
|
---|
[579] | 1155 | """
|
---|
[785] | 1156 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
[513] | 1157 | if insitu is None: insitu = rcParams['insitu']
|
---|
| 1158 | varlist = vars()
|
---|
| 1159 | if mask is None:
|
---|
| 1160 | from numarray import ones
|
---|
[626] | 1161 | mask = list(ones(self.nchan()))
|
---|
[513] | 1162 | from asap.asapfitter import fitter
|
---|
| 1163 | f = fitter()
|
---|
| 1164 | f.set_scan(self, mask)
|
---|
| 1165 | f.set_function(poly=order)
|
---|
[786] | 1166 | sf = f.auto_fit(insitu,allaxes)
|
---|
[513] | 1167 | if insitu:
|
---|
| 1168 | self._add_history("poly_baseline", varlist)
|
---|
[718] | 1169 | print_log()
|
---|
[513] | 1170 | return
|
---|
| 1171 | else:
|
---|
| 1172 | sf._add_history("poly_baseline", varlist)
|
---|
[718] | 1173 | print_log()
|
---|
[513] | 1174 | return sf
|
---|
| 1175 |
|
---|
| 1176 | def auto_poly_baseline(self, mask=None, edge=(0,0), order=0,
|
---|
| 1177 | threshold=3,insitu=None):
|
---|
| 1178 | """
|
---|
| 1179 | Return a scan which has been baselined (all rows) by a polynomial.
|
---|
| 1180 | Spectral lines are detected first using linefinder and masked out
|
---|
| 1181 | to avoid them affecting the baseline solution.
|
---|
| 1182 |
|
---|
| 1183 | Parameters:
|
---|
| 1184 | mask: an optional mask retreived from scantable
|
---|
| 1185 | edge: an optional number of channel to drop at
|
---|
| 1186 | the edge of spectrum. If only one value is
|
---|
| 1187 | specified, the same number will be dropped from
|
---|
| 1188 | both sides of the spectrum. Default is to keep
|
---|
| 1189 | all channels
|
---|
| 1190 | order: the order of the polynomial (default is 0)
|
---|
| 1191 | threshold: the threshold used by line finder. It is better to
|
---|
| 1192 | keep it large as only strong lines affect the
|
---|
| 1193 | baseline solution.
|
---|
| 1194 | insitu: if False a new scantable is returned.
|
---|
| 1195 | Otherwise, the scaling is done in-situ
|
---|
| 1196 | The default is taken from .asaprc (False)
|
---|
| 1197 |
|
---|
| 1198 | Example:
|
---|
[516] | 1199 | scan2=scan.auto_poly_baseline(order=7)
|
---|
[513] | 1200 | """
|
---|
| 1201 | if insitu is None: insitu = rcParams['insitu']
|
---|
| 1202 | varlist = vars()
|
---|
| 1203 | from asap.asapfitter import fitter
|
---|
| 1204 | from asap.asaplinefind import linefinder
|
---|
| 1205 | from asap import _is_sequence_or_number as _is_valid
|
---|
[710] | 1206 |
|
---|
[513] | 1207 | if not _is_valid(edge, int):
|
---|
[718] | 1208 |
|
---|
[516] | 1209 | raise RuntimeError, "Parameter 'edge' has to be an integer or a \
|
---|
| 1210 | pair of integers specified as a tuple"
|
---|
[710] | 1211 |
|
---|
[513] | 1212 | # setup fitter
|
---|
| 1213 | f = fitter()
|
---|
| 1214 | f.set_function(poly=order)
|
---|
| 1215 |
|
---|
| 1216 | # setup line finder
|
---|
| 1217 | fl=linefinder()
|
---|
| 1218 | fl.set_options(threshold=threshold)
|
---|
| 1219 |
|
---|
| 1220 | if not insitu:
|
---|
| 1221 | workscan=self.copy()
|
---|
| 1222 | else:
|
---|
| 1223 | workscan=self
|
---|
| 1224 |
|
---|
| 1225 | sel=workscan.get_cursor()
|
---|
| 1226 | rows=range(workscan.nrow())
|
---|
[718] | 1227 | from asap import asaplog
|
---|
[513] | 1228 | for i in range(workscan.nbeam()):
|
---|
| 1229 | workscan.setbeam(i)
|
---|
| 1230 | for j in range(workscan.nif()):
|
---|
| 1231 | workscan.setif(j)
|
---|
| 1232 | for k in range(workscan.npol()):
|
---|
| 1233 | workscan.setpol(k)
|
---|
[718] | 1234 | asaplog.push("Processing:")
|
---|
| 1235 | msg = 'Beam[%d], IF[%d], Pol[%d]' % (i,j,k)
|
---|
| 1236 | asaplog.push(msg)
|
---|
[513] | 1237 | for iRow in rows:
|
---|
| 1238 | fl.set_scan(workscan,mask,edge)
|
---|
| 1239 | fl.find_lines(iRow)
|
---|
| 1240 | f.set_scan(workscan, fl.get_mask())
|
---|
| 1241 | f.x=workscan._getabcissa(iRow)
|
---|
| 1242 | f.y=workscan._getspectrum(iRow)
|
---|
| 1243 | f.data=None
|
---|
| 1244 | f.fit()
|
---|
| 1245 | x=f.get_parameters()
|
---|
| 1246 | workscan._setspectrum(f.fitter.getresidual(),iRow)
|
---|
| 1247 | workscan.set_cursor(sel[0],sel[1],sel[2])
|
---|
| 1248 | if not insitu:
|
---|
[718] | 1249 | return workscan
|
---|
[513] | 1250 |
|
---|
| 1251 | def rotate_linpolphase(self, angle, allaxes=None):
|
---|
| 1252 | """
|
---|
[710] | 1253 | Rotate the phase of the complex polarization O=Q+iU correlation.
|
---|
| 1254 | This is always done in situ in the raw data. So if you call this
|
---|
[513] | 1255 | function more than once then each call rotates the phase further.
|
---|
| 1256 | Parameters:
|
---|
| 1257 | angle: The angle (degrees) to rotate (add) by.
|
---|
| 1258 | allaxes: If True apply to all spectra. Otherwise
|
---|
| 1259 | apply only to the selected (beam/pol/if)spectra only.
|
---|
| 1260 | The default is taken from .asaprc (True if none)
|
---|
| 1261 | Examples:
|
---|
| 1262 | scan.rotate_linpolphase(2.3)
|
---|
| 1263 | """
|
---|
| 1264 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
| 1265 | varlist = vars()
|
---|
| 1266 | from asap._asap import _rotate_linpolphase as _rotate
|
---|
| 1267 | _rotate(self, angle, allaxes)
|
---|
| 1268 | self._add_history("rotate_linpolphase", varlist)
|
---|
[718] | 1269 | print_log()
|
---|
[513] | 1270 | return
|
---|
| 1271 |
|
---|
[710] | 1272 |
|
---|
[513] | 1273 | def rotate_xyphase(self, angle, allaxes=None):
|
---|
| 1274 | """
|
---|
| 1275 | Rotate the phase of the XY correlation. This is always done in situ
|
---|
| 1276 | in the data. So if you call this function more than once
|
---|
| 1277 | then each call rotates the phase further.
|
---|
| 1278 | Parameters:
|
---|
| 1279 | angle: The angle (degrees) to rotate (add) by.
|
---|
| 1280 | allaxes: If True apply to all spectra. Otherwise
|
---|
| 1281 | apply only to the selected (beam/pol/if)spectra only.
|
---|
| 1282 | The default is taken from .asaprc (True if none)
|
---|
| 1283 | Examples:
|
---|
| 1284 | scan.rotate_xyphase(2.3)
|
---|
| 1285 | """
|
---|
| 1286 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
| 1287 | varlist = vars()
|
---|
[670] | 1288 | from asap._asap import _rotate_xyphase
|
---|
[513] | 1289 | _rotate_xyphase(self, angle, allaxes)
|
---|
| 1290 | self._add_history("rotate_xyphase", varlist)
|
---|
[718] | 1291 | print_log()
|
---|
[513] | 1292 | return
|
---|
| 1293 |
|
---|
[798] | 1294 | def invert_phase(self, allaxes=None):
|
---|
| 1295 | """
|
---|
| 1296 | Take the complex conjugate of the complex polarisation cross
|
---|
| 1297 | correlation. This is always done in situ in the data. If
|
---|
| 1298 | you call this function twice, you end up with the original phase
|
---|
| 1299 | Parameters:
|
---|
| 1300 | allaxes: If True apply to all spectra. Otherwise
|
---|
| 1301 | apply only to the selected (beam/pol/if)spectra only.
|
---|
| 1302 | The default is taken from .asaprc (True if none)
|
---|
| 1303 | Examples:
|
---|
| 1304 | scan.invert_phase()
|
---|
| 1305 | """
|
---|
| 1306 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
| 1307 | varlist = vars()
|
---|
| 1308 | from asap._asap import _invert_phase
|
---|
| 1309 | _invert_phase(self, allaxes)
|
---|
| 1310 | self._add_history("invert_phase", varlist)
|
---|
| 1311 | print_log()
|
---|
| 1312 | return
|
---|
[513] | 1313 |
|
---|
[798] | 1314 | def swap_ppol(self, allaxes=None):
|
---|
| 1315 | """
|
---|
| 1316 | Swaps the order of parallel polarisation products (ie AA, BB
|
---|
| 1317 | becomes BB, AA) . This is always done in situ in the data.
|
---|
| 1318 | If you call this function twice, you end up with the original
|
---|
| 1319 | order
|
---|
| 1320 | Parameters:
|
---|
| 1321 | allaxes: If True apply to all spectra. Otherwise
|
---|
| 1322 | apply only to the selected (beam/pol/if)spectra only.
|
---|
| 1323 | The default is taken from .asaprc (True if none)
|
---|
| 1324 | Examples:
|
---|
| 1325 | scan.swap_pol()
|
---|
| 1326 | """
|
---|
| 1327 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
| 1328 | varlist = vars()
|
---|
| 1329 | from asap._asap import _swap_pol
|
---|
| 1330 | _swap_pol(self, allaxes)
|
---|
| 1331 | self._add_history("swap_phase", varlist)
|
---|
| 1332 | print_log()
|
---|
| 1333 | return
|
---|
| 1334 |
|
---|
| 1335 |
|
---|
[513] | 1336 | def add(self, offset, insitu=None, allaxes=None):
|
---|
| 1337 | """
|
---|
| 1338 | Return a scan where all spectra have the offset added
|
---|
| 1339 | Parameters:
|
---|
| 1340 | offset: the offset
|
---|
| 1341 | insitu: if False a new scantable is returned.
|
---|
| 1342 | Otherwise, the scaling is done in-situ
|
---|
| 1343 | The default is taken from .asaprc (False)
|
---|
| 1344 | allaxes: if True apply to all spectra. Otherwise
|
---|
| 1345 | apply only to the selected (beam/pol/if)spectra only
|
---|
| 1346 | The default is taken from .asaprc (True if none)
|
---|
| 1347 | """
|
---|
| 1348 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
| 1349 | if insitu is None: insitu = rcParams['insitu']
|
---|
| 1350 | varlist = vars()
|
---|
| 1351 | if not insitu:
|
---|
| 1352 | from asap._asap import add as _add
|
---|
| 1353 | s = scantable(_add(self, offset, allaxes))
|
---|
| 1354 | s._add_history("add",varlist)
|
---|
[718] | 1355 | print_log()
|
---|
[513] | 1356 | return s
|
---|
| 1357 | else:
|
---|
| 1358 | from asap._asap import add_insitu as _add
|
---|
| 1359 | _add(self, offset, allaxes)
|
---|
| 1360 | self._add_history("add",varlist)
|
---|
[718] | 1361 | print_log()
|
---|
[513] | 1362 | return
|
---|
| 1363 |
|
---|
| 1364 | def scale(self, factor, insitu=None, allaxes=None, tsys=True):
|
---|
| 1365 | """
|
---|
| 1366 | Return a scan where all spectra are scaled by the give 'factor'
|
---|
| 1367 | Parameters:
|
---|
| 1368 | factor: the scaling factor
|
---|
| 1369 | insitu: if False a new scantable is returned.
|
---|
| 1370 | Otherwise, the scaling is done in-situ
|
---|
| 1371 | The default is taken from .asaprc (False)
|
---|
| 1372 | allaxes: if True apply to all spectra. Otherwise
|
---|
| 1373 | apply only to the selected (beam/pol/if)spectra only.
|
---|
| 1374 | The default is taken from .asaprc (True if none)
|
---|
| 1375 | tsys: if True (default) then apply the operation to Tsys
|
---|
| 1376 | as well as the data
|
---|
| 1377 | """
|
---|
| 1378 | if allaxes is None: allaxes = rcParams['scantable.allaxes']
|
---|
| 1379 | if insitu is None: insitu = rcParams['insitu']
|
---|
| 1380 | varlist = vars()
|
---|
| 1381 | if not insitu:
|
---|
| 1382 | from asap._asap import scale as _scale
|
---|
| 1383 | s = scantable(_scale(self, factor, allaxes, tsys))
|
---|
| 1384 | s._add_history("scale",varlist)
|
---|
[718] | 1385 | print_log()
|
---|
[513] | 1386 | return s
|
---|
| 1387 | else:
|
---|
| 1388 | from asap._asap import scale_insitu as _scale
|
---|
| 1389 | _scale(self, factor, allaxes, tsys)
|
---|
| 1390 | self._add_history("scale",varlist)
|
---|
[718] | 1391 | print_log()
|
---|
[513] | 1392 | return
|
---|
| 1393 |
|
---|
[670] | 1394 | def auto_quotient(self, mode='suffix', preserve=True):
|
---|
| 1395 | """
|
---|
| 1396 | This function allows to build quotients automatically.
|
---|
| 1397 | It assumes the observation to have the same numer of
|
---|
| 1398 | "ons" and "offs"
|
---|
| 1399 | It will support "closest off in time" in the future
|
---|
| 1400 | Parameters:
|
---|
| 1401 | mode: the on/off detection mode; 'suffix' (default)
|
---|
| 1402 | 'suffix' identifies 'off' scans by the
|
---|
| 1403 | trailing '_R' (Mopra/Parkes) or
|
---|
| 1404 | '_e'/'_w' (Tid)
|
---|
[710] | 1405 | preserve: you can preserve (default) the continuum or
|
---|
| 1406 | remove it. The equations used are
|
---|
[670] | 1407 | preserve: Output = Toff * (on/off) - Toff
|
---|
| 1408 | remove: Output = Tref * (on/off) - Ton
|
---|
| 1409 | """
|
---|
| 1410 | modes = ["suffix","time"]
|
---|
| 1411 | if not mode in modes:
|
---|
| 1412 | print "please provide valid mode. Valid modes are %s" % (modes)
|
---|
| 1413 | return None
|
---|
| 1414 | from asap._asap import quotient as _quot
|
---|
| 1415 | if mode == "suffix":
|
---|
| 1416 | srcs = self.get_scan("*[^_ewR]")
|
---|
| 1417 | refs = self.get_scan("*[_ewR]")
|
---|
[710] | 1418 | if isinstance(srcs,scantable) and isinstance(refs,scantable):
|
---|
[784] | 1419 | from asap import asaplog
|
---|
[710] | 1420 | ns,nr = srcs.nrow(),refs.nrow()
|
---|
[784] | 1421 | msg = "Found %i Off and %i On scans" % (ns,nr)
|
---|
| 1422 | asaplog.push(msg)
|
---|
[710] | 1423 | if nr > ns:
|
---|
[784] | 1424 | asaplog("Found more Off integrations than On scans - dropping excess Offs.")
|
---|
[710] | 1425 | refs = refs.get_scan(range(ns))
|
---|
[718] | 1426 | print_log()
|
---|
[710] | 1427 | return scantable(_quot(srcs,refs, preserve))
|
---|
| 1428 | else:
|
---|
[718] | 1429 | msg = "Couldn't find any on/off pairs"
|
---|
| 1430 | if rcParams['verbose']:
|
---|
| 1431 | print msg
|
---|
| 1432 | return
|
---|
| 1433 | else:
|
---|
| 1434 | raise RuntimeError()
|
---|
[670] | 1435 | else:
|
---|
[718] | 1436 | if rcParams['verbose']: print "not yet implemented"
|
---|
[670] | 1437 | return None
|
---|
[710] | 1438 |
|
---|
[513] | 1439 | def quotient(self, other, isreference=True, preserve=True):
|
---|
| 1440 | """
|
---|
[582] | 1441 | Return the quotient of a 'source' (on) scan and a 'reference' (off)
|
---|
| 1442 | scan.
|
---|
[513] | 1443 | The reference can have just one row, even if the signal has many.
|
---|
| 1444 | Otherwise they must have the same number of rows.
|
---|
| 1445 | The cursor of the output scan is set to 0
|
---|
| 1446 | Parameters:
|
---|
[582] | 1447 | other: the 'other' scan
|
---|
[513] | 1448 | isreference: if the 'other' scan is the reference (default)
|
---|
| 1449 | or source
|
---|
[710] | 1450 | preserve: you can preserve (default) the continuum or
|
---|
| 1451 | remove it. The equations used are
|
---|
[582] | 1452 | preserve: Output = Toff * (on/off) - Toff
|
---|
| 1453 | remove: Output = Tref * (on/off) - Ton
|
---|
[513] | 1454 | Example:
|
---|
| 1455 | # src is a scantable for an 'on' scan, ref for an 'off' scantable
|
---|
| 1456 | q1 = src.quotient(ref)
|
---|
| 1457 | q2 = ref.quotient(src, isreference=False)
|
---|
| 1458 | # gives the same result
|
---|
| 1459 | """
|
---|
| 1460 | from asap._asap import quotient as _quot
|
---|
[718] | 1461 | try:
|
---|
| 1462 | s = None
|
---|
| 1463 | if isreference:
|
---|
| 1464 | s = scantable(_quot(self, other, preserve))
|
---|
| 1465 | else:
|
---|
| 1466 | s = scantable(_quot(other, self, preserve))
|
---|
| 1467 | print_log()
|
---|
| 1468 | return s
|
---|
| 1469 | except RuntimeError,e:
|
---|
| 1470 | if rcParams['verbose']:
|
---|
| 1471 | print e
|
---|
| 1472 | return
|
---|
| 1473 | else: raise
|
---|
[513] | 1474 |
|
---|
[718] | 1475 | def freq_switch(self, insitu=None):
|
---|
| 1476 | """
|
---|
| 1477 | Apply frequency switching to the data.
|
---|
| 1478 | Parameters:
|
---|
| 1479 | insitu: if False a new scantable is returned.
|
---|
| 1480 | Otherwise, the swictching is done in-situ
|
---|
| 1481 | The default is taken from .asaprc (False)
|
---|
| 1482 | Example:
|
---|
| 1483 | none
|
---|
| 1484 | """
|
---|
| 1485 | if insitu is None: insitu = rcParams['insitu']
|
---|
| 1486 | varlist = vars()
|
---|
| 1487 | try:
|
---|
| 1488 | if insitu:
|
---|
| 1489 | from asap._asap import _frequency_switch_insitu
|
---|
| 1490 | _frequency_switch_insitu(self)
|
---|
| 1491 | self._add_history("freq_switch", varlist)
|
---|
| 1492 | print_log()
|
---|
| 1493 | return
|
---|
| 1494 | else:
|
---|
| 1495 | from asap._asap import _frequency_switch
|
---|
| 1496 | sf = scantable(_frequency_switch(self))
|
---|
| 1497 | sf._add_history("freq_switch", varlist)
|
---|
| 1498 | print_log()
|
---|
| 1499 | return sf
|
---|
| 1500 | except RuntimeError,e:
|
---|
| 1501 | if rcParams['verbose']: print e
|
---|
| 1502 | else: raise
|
---|
| 1503 |
|
---|
[773] | 1504 | def recalc_azel(self):
|
---|
| 1505 | """
|
---|
| 1506 | Recalculate the azimuth and elevation for each position.
|
---|
| 1507 | Parameters:
|
---|
| 1508 | none
|
---|
| 1509 | Example:
|
---|
| 1510 | """
|
---|
[778] | 1511 | varlist = vars()
|
---|
[773] | 1512 | self._recalc_azel()
|
---|
| 1513 | self._add_history("recalc_azel", varlist)
|
---|
[778] | 1514 | print_log()
|
---|
[773] | 1515 | return
|
---|
| 1516 |
|
---|
[513] | 1517 | def __add__(self, other):
|
---|
| 1518 | varlist = vars()
|
---|
| 1519 | s = None
|
---|
| 1520 | if isinstance(other, scantable):
|
---|
[710] | 1521 | from asap._asap import b_operate as _bop
|
---|
[513] | 1522 | s = scantable(_bop(self, other, 'add', True))
|
---|
| 1523 | elif isinstance(other, float):
|
---|
| 1524 | from asap._asap import add as _add
|
---|
| 1525 | s = scantable(_add(self, other, True))
|
---|
| 1526 | else:
|
---|
[718] | 1527 | raise TypeError("Other input is not a scantable or float value")
|
---|
[513] | 1528 | s._add_history("operator +", varlist)
|
---|
[718] | 1529 | print_log()
|
---|
[513] | 1530 | return s
|
---|
| 1531 |
|
---|
| 1532 | def __sub__(self, other):
|
---|
| 1533 | """
|
---|
| 1534 | implicit on all axes and on Tsys
|
---|
| 1535 | """
|
---|
| 1536 | varlist = vars()
|
---|
| 1537 | s = None
|
---|
| 1538 | if isinstance(other, scantable):
|
---|
[710] | 1539 | from asap._asap import b_operate as _bop
|
---|
[513] | 1540 | s = scantable(_bop(self, other, 'sub', True))
|
---|
| 1541 | elif isinstance(other, float):
|
---|
| 1542 | from asap._asap import add as _add
|
---|
| 1543 | s = scantable(_add(self, -other, True))
|
---|
| 1544 | else:
|
---|
[718] | 1545 | raise TypeError("Other input is not a scantable or float value")
|
---|
[513] | 1546 | s._add_history("operator -", varlist)
|
---|
[718] | 1547 | print_log()
|
---|
[513] | 1548 | return s
|
---|
[710] | 1549 |
|
---|
[513] | 1550 | def __mul__(self, other):
|
---|
| 1551 | """
|
---|
| 1552 | implicit on all axes and on Tsys
|
---|
| 1553 | """
|
---|
| 1554 | varlist = vars()
|
---|
| 1555 | s = None
|
---|
| 1556 | if isinstance(other, scantable):
|
---|
[710] | 1557 | from asap._asap import b_operate as _bop
|
---|
[513] | 1558 | s = scantable(_bop(self, other, 'mul', True))
|
---|
| 1559 | elif isinstance(other, float):
|
---|
| 1560 | if other == 0.0:
|
---|
[718] | 1561 | raise ZeroDivisionError("Dividing by zero is not recommended")
|
---|
[513] | 1562 | from asap._asap import scale as _sca
|
---|
| 1563 | s = scantable(_sca(self, other, True))
|
---|
| 1564 | else:
|
---|
[718] | 1565 | raise TypeError("Other input is not a scantable or float value")
|
---|
[513] | 1566 | s._add_history("operator *", varlist)
|
---|
[718] | 1567 | print_log()
|
---|
[513] | 1568 | return s
|
---|
| 1569 |
|
---|
[710] | 1570 |
|
---|
[513] | 1571 | def __div__(self, other):
|
---|
| 1572 | """
|
---|
| 1573 | implicit on all axes and on Tsys
|
---|
| 1574 | """
|
---|
| 1575 | varlist = vars()
|
---|
| 1576 | s = None
|
---|
| 1577 | if isinstance(other, scantable):
|
---|
[710] | 1578 | from asap._asap import b_operate as _bop
|
---|
[513] | 1579 | s = scantable(_bop(self, other, 'div', True))
|
---|
| 1580 | elif isinstance(other, float):
|
---|
| 1581 | if other == 0.0:
|
---|
[718] | 1582 | raise ZeroDivisionError("Dividing by zero is not recommended")
|
---|
[513] | 1583 | from asap._asap import scale as _sca
|
---|
| 1584 | s = scantable(_sca(self, 1.0/other, True))
|
---|
| 1585 | else:
|
---|
[718] | 1586 | raise TypeError("Other input is not a scantable or float value")
|
---|
[513] | 1587 | s._add_history("operator /", varlist)
|
---|
[718] | 1588 | print_log()
|
---|
[513] | 1589 | return s
|
---|
| 1590 |
|
---|
[530] | 1591 | def get_fit(self, row=0):
|
---|
| 1592 | """
|
---|
| 1593 | Print or return the stored fits for a row in the scantable
|
---|
| 1594 | Parameters:
|
---|
| 1595 | row: the row which the fit has been applied to.
|
---|
| 1596 | """
|
---|
| 1597 | if row > self.nrow():
|
---|
| 1598 | return
|
---|
| 1599 | from asap import asapfit
|
---|
| 1600 | fit = asapfit(self._getfit(row))
|
---|
[718] | 1601 | if rcParams['verbose']:
|
---|
[530] | 1602 | print fit
|
---|
| 1603 | return
|
---|
| 1604 | else:
|
---|
| 1605 | return fit.as_dict()
|
---|
| 1606 |
|
---|
[484] | 1607 | def _add_history(self, funcname, parameters):
|
---|
| 1608 | # create date
|
---|
| 1609 | sep = "##"
|
---|
| 1610 | from datetime import datetime
|
---|
| 1611 | dstr = datetime.now().strftime('%Y/%m/%d %H:%M:%S')
|
---|
| 1612 | hist = dstr+sep
|
---|
| 1613 | hist += funcname+sep#cdate+sep
|
---|
| 1614 | if parameters.has_key('self'): del parameters['self']
|
---|
| 1615 | for k,v in parameters.iteritems():
|
---|
| 1616 | if type(v) is dict:
|
---|
| 1617 | for k2,v2 in v.iteritems():
|
---|
| 1618 | hist += k2
|
---|
| 1619 | hist += "="
|
---|
| 1620 | if isinstance(v2,scantable):
|
---|
| 1621 | hist += 'scantable'
|
---|
| 1622 | elif k2 == 'mask':
|
---|
[513] | 1623 | if isinstance(v2,list) or isinstance(v2,tuple):
|
---|
| 1624 | hist += str(self._zip_mask(v2))
|
---|
| 1625 | else:
|
---|
| 1626 | hist += str(v2)
|
---|
[484] | 1627 | else:
|
---|
[513] | 1628 | hist += str(v2)
|
---|
[484] | 1629 | else:
|
---|
| 1630 | hist += k
|
---|
| 1631 | hist += "="
|
---|
| 1632 | if isinstance(v,scantable):
|
---|
| 1633 | hist += 'scantable'
|
---|
| 1634 | elif k == 'mask':
|
---|
[513] | 1635 | if isinstance(v,list) or isinstance(v,tuple):
|
---|
| 1636 | hist += str(self._zip_mask(v))
|
---|
| 1637 | else:
|
---|
| 1638 | hist += str(v)
|
---|
[484] | 1639 | else:
|
---|
| 1640 | hist += str(v)
|
---|
| 1641 | hist += sep
|
---|
| 1642 | hist = hist[:-2] # remove trailing '##'
|
---|
| 1643 | self._addhistory(hist)
|
---|
| 1644 |
|
---|
[710] | 1645 |
|
---|
[484] | 1646 | def _zip_mask(self, mask):
|
---|
| 1647 | mask = list(mask)
|
---|
| 1648 | i = 0
|
---|
| 1649 | segments = []
|
---|
| 1650 | while mask[i:].count(1):
|
---|
| 1651 | i += mask[i:].index(1)
|
---|
| 1652 | if mask[i:].count(0):
|
---|
| 1653 | j = i + mask[i:].index(0)
|
---|
| 1654 | else:
|
---|
[710] | 1655 | j = len(mask)
|
---|
[484] | 1656 | segments.append([i,j])
|
---|
[710] | 1657 | i = j
|
---|
[484] | 1658 | return segments
|
---|
[714] | 1659 |
|
---|
[626] | 1660 | def _get_ordinate_label(self):
|
---|
| 1661 | fu = "("+self.get_fluxunit()+")"
|
---|
| 1662 | import re
|
---|
| 1663 | lbl = "Intensity"
|
---|
| 1664 | if re.match(".K.",fu):
|
---|
| 1665 | lbl = "Brightness Temperature "+ fu
|
---|
| 1666 | elif re.match(".Jy.",fu):
|
---|
| 1667 | lbl = "Flux density "+ fu
|
---|
| 1668 | return lbl
|
---|
[710] | 1669 |
|
---|