[876] | 1 | from asap._asap import Scantable |
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[226] | 2 | from asap import rcParams |
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[976] | 3 | from asap import print_log, asaplog |
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[946] | 4 | from asap import selector |
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[189] | 5 | from numarray import ones,zeros |
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[102] | 6 | import sys |
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| 7 | |
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[876] | 8 | class scantable(Scantable): |
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[102] | 9 | """ |
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| 10 | The ASAP container for scans |
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| 11 | """ |
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[710] | 12 | |
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[484] | 13 | def __init__(self, filename, average=None, unit=None): |
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[102] | 14 | """ |
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| 15 | Create a scantable from a saved one or make a reference |
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| 16 | Parameters: |
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[181] | 17 | filename: the name of an asap table on disk |
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| 18 | or |
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| 19 | the name of a rpfits/sdfits/ms file |
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| 20 | (integrations within scans are auto averaged |
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| 21 | and the whole file is read) |
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| 22 | or |
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| 23 | [advanced] a reference to an existing |
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[102] | 24 | scantable |
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[484] | 25 | average: average all integrations withinb a scan on read. |
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| 26 | The default (True) is taken from .asaprc. |
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| 27 | unit: brightness unit; must be consistent with K or Jy. |
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[340] | 28 | Over-rides the default selected by the reader |
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| 29 | (input rpfits/sdfits/ms) or replaces the value |
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| 30 | in existing scantables |
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[710] | 31 | """ |
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[976] | 32 | if average is None: |
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[710] | 33 | average = rcParams['scantable.autoaverage'] |
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[484] | 34 | varlist = vars() |
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[876] | 35 | from asap._asap import stmath |
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| 36 | self._math = stmath() |
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| 37 | if isinstance(filename, Scantable): |
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| 38 | Scantable.__init__(self, filename) |
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[181] | 39 | else: |
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[976] | 40 | if isinstance(filename,str): |
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| 41 | import os.path |
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| 42 | filename = os.path.expandvars(filename) |
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| 43 | filename = os.path.expanduser(filename) |
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| 44 | if not os.path.exists(filename): |
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| 45 | s = "File '%s' not found." % (filename) |
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[718] | 46 | if rcParams['verbose']: |
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[976] | 47 | asaplog.push(s) |
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| 48 | print asaplog.pop().strip() |
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[718] | 49 | return |
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[976] | 50 | raise IOError(s) |
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| 51 | if os.path.isdir(filename): |
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| 52 | # crude check if asap table |
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| 53 | if os.path.exists(filename+'/table.info'): |
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[1073] | 54 | Scantable.__init__(self, filename, rcParams['scantable.storage']=='disk') |
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[976] | 55 | if unit is not None: |
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| 56 | self.set_fluxunit(unit) |
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| 57 | self.set_freqframe(rcParams['scantable.freqframe']) |
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[718] | 58 | else: |
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[976] | 59 | msg = "The given file '%s'is not a valid asap table." % (filename) |
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| 60 | if rcParams['verbose']: |
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| 61 | print msg |
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| 62 | return |
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| 63 | else: |
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| 64 | raise IOError(msg) |
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[226] | 65 | else: |
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[976] | 66 | self._fill([filename],unit, average) |
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| 67 | elif (isinstance(filename,list) or isinstance(filename,tuple)) \ |
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| 68 | and isinstance(filename[-1], str): |
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| 69 | self._fill(filename, unit, average) |
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[714] | 70 | print_log() |
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[102] | 71 | |
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[876] | 72 | def save(self, name=None, format=None, overwrite=False): |
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[116] | 73 | """ |
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[710] | 74 | Store the scantable on disk. This can be an asap (aips++) Table, SDFITS, |
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[280] | 75 | Image FITS or MS2 format. |
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[116] | 76 | Parameters: |
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[1093] | 77 | name: the name of the outputfile. For format "ASCII" |
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| 78 | this is the root file name (data in 'name'.txt |
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[497] | 79 | and header in 'name'_header.txt) |
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[116] | 80 | format: an optional file format. Default is ASAP. |
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[280] | 81 | Allowed are - 'ASAP' (save as ASAP [aips++] Table), |
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[194] | 82 | 'SDFITS' (save as SDFITS file) |
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[200] | 83 | 'ASCII' (saves as ascii text file) |
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[226] | 84 | 'MS2' (saves as an aips++ |
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| 85 | MeasurementSet V2) |
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[411] | 86 | overwrite: If the file should be overwritten if it exists. |
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[256] | 87 | The default False is to return with warning |
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[411] | 88 | without writing the output. USE WITH CARE. |
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[116] | 89 | Example: |
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| 90 | scan.save('myscan.asap') |
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| 91 | scan.save('myscan.sdfits','SDFITS') |
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| 92 | """ |
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[411] | 93 | from os import path |
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[226] | 94 | if format is None: format = rcParams['scantable.save'] |
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[256] | 95 | suffix = '.'+format.lower() |
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| 96 | if name is None or name =="": |
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| 97 | name = 'scantable'+suffix |
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[718] | 98 | from asap import asaplog |
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| 99 | msg = "No filename given. Using default name %s..." % name |
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| 100 | asaplog.push(msg) |
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[411] | 101 | name = path.expandvars(name) |
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[256] | 102 | if path.isfile(name) or path.isdir(name): |
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| 103 | if not overwrite: |
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[718] | 104 | msg = "File %s exists." % name |
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| 105 | if rcParams['verbose']: |
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| 106 | print msg |
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| 107 | return |
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| 108 | else: |
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| 109 | raise IOError(msg) |
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[451] | 110 | format2 = format.upper() |
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| 111 | if format2 == 'ASAP': |
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[116] | 112 | self._save(name) |
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| 113 | else: |
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[989] | 114 | from asap._asap import stwriter as stw |
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| 115 | w = stw(format2) |
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| 116 | w.write(self, name) |
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[718] | 117 | print_log() |
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[116] | 118 | return |
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| 119 | |
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[102] | 120 | def copy(self): |
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| 121 | """ |
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| 122 | Return a copy of this scantable. |
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| 123 | Parameters: |
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[113] | 124 | none |
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[102] | 125 | Example: |
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| 126 | copiedscan = scan.copy() |
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| 127 | """ |
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[876] | 128 | sd = scantable(Scantable._copy(self)) |
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[113] | 129 | return sd |
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| 130 | |
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[1093] | 131 | def drop_scan(self, scanid=None): |
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| 132 | """ |
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| 133 | Return a new scantable where the specified scan number(s) has(have) |
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| 134 | been dropped. |
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| 135 | Parameters: |
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| 136 | scanid: a (list of) scan number(s) |
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| 137 | """ |
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| 138 | from asap import _is_sequence_or_number as _is_valid |
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| 139 | from asap import _to_list |
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| 140 | from asap import unique |
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| 141 | if not _is_valid(scanid): |
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| 142 | if rcParams['verbose']: |
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| 143 | print "Please specify a scanno to drop from the scantable" |
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| 144 | return |
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| 145 | else: |
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| 146 | raise RuntimeError("No scan given") |
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| 147 | try: |
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| 148 | scanid = _to_list(scanid) |
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| 149 | allscans = unique([ self.getscan(i) for i in range(self.nrow())]) |
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| 150 | for sid in scanid: allscans.remove(sid) |
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| 151 | if len(allscans) == 0: raise ValueError("Can't remove all scans") |
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| 152 | except ValueError: |
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| 153 | if rcParams['verbose']: |
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| 154 | print "Couldn't find any match." |
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| 155 | return |
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| 156 | else: raise |
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| 157 | try: |
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| 158 | bsel = self.get_selection() |
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| 159 | sel = selector() |
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| 160 | sel.set_scans(allscans) |
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| 161 | self.set_selection(bsel+sel) |
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| 162 | scopy = self._copy() |
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| 163 | self.set_selection(bsel) |
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| 164 | return scantable(scopy) |
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| 165 | except RuntimeError: |
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| 166 | if rcParams['verbose']: print "Couldn't find any match." |
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| 167 | else: raise |
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| 168 | |
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| 169 | |
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[102] | 170 | def get_scan(self, scanid=None): |
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| 171 | """ |
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| 172 | Return a specific scan (by scanno) or collection of scans (by |
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| 173 | source name) in a new scantable. |
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| 174 | Parameters: |
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[513] | 175 | scanid: a (list of) scanno or a source name, unix-style |
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| 176 | patterns are accepted for source name matching, e.g. |
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| 177 | '*_R' gets all 'ref scans |
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[102] | 178 | Example: |
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[513] | 179 | # get all scans containing the source '323p459' |
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| 180 | newscan = scan.get_scan('323p459') |
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| 181 | # get all 'off' scans |
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| 182 | refscans = scan.get_scan('*_R') |
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| 183 | # get a susbset of scans by scanno (as listed in scan.summary()) |
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| 184 | newscan = scan.get_scan([0,2,7,10]) |
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[102] | 185 | """ |
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| 186 | if scanid is None: |
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[718] | 187 | if rcParams['verbose']: |
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| 188 | print "Please specify a scan no or name to retrieve from the scantable" |
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| 189 | return |
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| 190 | else: |
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| 191 | raise RuntimeError("No scan given") |
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| 192 | |
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[102] | 193 | try: |
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[946] | 194 | bsel = self.get_selection() |
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| 195 | sel = selector() |
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[102] | 196 | if type(scanid) is str: |
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[946] | 197 | sel.set_name(scanid) |
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| 198 | self.set_selection(bsel+sel) |
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[876] | 199 | scopy = self._copy() |
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[946] | 200 | self.set_selection(bsel) |
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[876] | 201 | return scantable(scopy) |
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[102] | 202 | elif type(scanid) is int: |
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[946] | 203 | sel.set_scans([scanid]) |
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| 204 | self.set_selection(bsel+sel) |
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[876] | 205 | scopy = self._copy() |
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[946] | 206 | self.set_selection(bsel) |
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[876] | 207 | return scantable(scopy) |
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[381] | 208 | elif type(scanid) is list: |
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[946] | 209 | sel.set_scans(scanid) |
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| 210 | self.set_selection(sel) |
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[876] | 211 | scopy = self._copy() |
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[946] | 212 | self.set_selection(bsel) |
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[876] | 213 | return scantable(scopy) |
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[381] | 214 | else: |
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[718] | 215 | msg = "Illegal scanid type, use 'int' or 'list' if ints." |
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| 216 | if rcParams['verbose']: |
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| 217 | print msg |
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| 218 | else: |
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| 219 | raise TypeError(msg) |
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[102] | 220 | except RuntimeError: |
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[718] | 221 | if rcParams['verbose']: print "Couldn't find any match." |
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| 222 | else: raise |
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[102] | 223 | |
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| 224 | def __str__(self): |
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[876] | 225 | return Scantable._summary(self,True) |
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[102] | 226 | |
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[976] | 227 | def summary(self, filename=None): |
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[102] | 228 | """ |
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| 229 | Print a summary of the contents of this scantable. |
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| 230 | Parameters: |
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| 231 | filename: the name of a file to write the putput to |
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| 232 | Default - no file output |
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[381] | 233 | verbose: print extra info such as the frequency table |
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| 234 | The default (False) is taken from .asaprc |
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[102] | 235 | """ |
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[976] | 236 | info = Scantable._summary(self, True) |
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| 237 | #if verbose is None: verbose = rcParams['scantable.verbosesummary'] |
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[102] | 238 | if filename is not None: |
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[256] | 239 | if filename is "": |
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| 240 | filename = 'scantable_summary.txt' |
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[415] | 241 | from os.path import expandvars, isdir |
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[411] | 242 | filename = expandvars(filename) |
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[415] | 243 | if not isdir(filename): |
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[413] | 244 | data = open(filename, 'w') |
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| 245 | data.write(info) |
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| 246 | data.close() |
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| 247 | else: |
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[718] | 248 | msg = "Illegal file name '%s'." % (filename) |
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| 249 | if rcParams['verbose']: |
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| 250 | print msg |
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| 251 | else: |
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| 252 | raise IOError(msg) |
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| 253 | if rcParams['verbose']: |
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[794] | 254 | try: |
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| 255 | from IPython.genutils import page as pager |
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| 256 | except ImportError: |
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| 257 | from pydoc import pager |
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| 258 | pager(info) |
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[718] | 259 | else: |
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| 260 | return info |
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[710] | 261 | |
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[946] | 262 | |
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| 263 | def get_selection(self): |
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| 264 | """ |
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[1005] | 265 | Get the selection object currently set on this scantable. |
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| 266 | Parameters: |
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| 267 | none |
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| 268 | Example: |
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| 269 | sel = scan.get_selection() |
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| 270 | sel.set_ifs(0) # select IF 0 |
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| 271 | scan.set_selection(sel) # apply modified selection |
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[946] | 272 | """ |
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| 273 | return selector(self._getselection()) |
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| 274 | |
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[1005] | 275 | def set_selection(self, selection=selector()): |
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[946] | 276 | """ |
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[1005] | 277 | Select a subset of the data. All following operations on this scantable |
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| 278 | are only applied to thi selection. |
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| 279 | Parameters: |
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| 280 | selection: a selector object (default unset the selection) |
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| 281 | Examples: |
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| 282 | sel = selector() # create a selection object |
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| 283 | self.set_scans([0,3]) # select SCANNO 0 and 3 |
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| 284 | scan.set_selection(sel) # set the selection |
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| 285 | scan.summary() # will only print summary of scanno 0 an 3 |
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| 286 | scan.set_selection() # unset the selection |
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[946] | 287 | """ |
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| 288 | self._setselection(selection) |
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| 289 | |
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[553] | 290 | def set_cursor(self, beam=0, IF=0, pol=0): |
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[1006] | 291 | print "DEPRECATED - use set_selection" |
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[102] | 292 | |
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[256] | 293 | def get_cursor(self): |
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[1006] | 294 | print "DEPRECATED - use get_selection" |
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[102] | 295 | |
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[876] | 296 | def stats(self, stat='stddev', mask=None): |
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[102] | 297 | """ |
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[135] | 298 | Determine the specified statistic of the current beam/if/pol |
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[102] | 299 | Takes a 'mask' as an optional parameter to specify which |
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| 300 | channels should be excluded. |
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| 301 | Parameters: |
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[135] | 302 | stat: 'min', 'max', 'sumsq', 'sum', 'mean' |
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| 303 | 'var', 'stddev', 'avdev', 'rms', 'median' |
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| 304 | mask: an optional mask specifying where the statistic |
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[102] | 305 | should be determined. |
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| 306 | Example: |
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[113] | 307 | scan.set_unit('channel') |
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[102] | 308 | msk = scan.create_mask([100,200],[500,600]) |
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[135] | 309 | scan.stats(stat='mean', mask=m) |
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[102] | 310 | """ |
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[256] | 311 | from numarray import array,zeros,Float |
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[102] | 312 | if mask == None: |
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[876] | 313 | mask = [] |
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[256] | 314 | axes = ['Beam','IF','Pol','Time'] |
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[876] | 315 | if not self._check_ifs(): |
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| 316 | raise ValueError("Cannot apply mask as the IFs have different number of channels" |
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| 317 | "Please use setselection() to select individual IFs") |
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[256] | 318 | |
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[876] | 319 | statvals = self._math._stats(self, mask, stat) |
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| 320 | out = '' |
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| 321 | axes = [] |
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| 322 | for i in range(self.nrow()): |
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| 323 | axis = [] |
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| 324 | axis.append(self.getscan(i)) |
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| 325 | axis.append(self.getbeam(i)) |
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| 326 | axis.append(self.getif(i)) |
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| 327 | axis.append(self.getpol(i)) |
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| 328 | axis.append(self.getcycle(i)) |
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| 329 | axes.append(axis) |
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| 330 | tm = self._gettime(i) |
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| 331 | src = self._getsourcename(i) |
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| 332 | out += 'Scan[%d] (%s) ' % (axis[0], src) |
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| 333 | out += 'Time[%s]:\n' % (tm) |
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| 334 | if self.nbeam(-1) > 1: out += ' Beam[%d] ' % (axis[1]) |
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| 335 | if self.nif(-1) > 1: out += ' IF[%d] ' % (axis[2]) |
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| 336 | if self.npol(-1) > 1: out += ' Pol[%d] ' % (axis[3]) |
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| 337 | out += '= %3.3f\n' % (statvals[i]) |
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| 338 | out += "--------------------------------------------------\n" |
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[256] | 339 | |
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[876] | 340 | if rcParams['verbose']: |
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| 341 | print "--------------------------------------------------" |
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| 342 | print " ",stat |
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| 343 | print "--------------------------------------------------" |
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| 344 | print out |
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| 345 | retval = { 'axesnames': ['scanno','beamno','ifno','polno','cycleno'], |
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| 346 | 'axes' : axes, |
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| 347 | 'data': statvals} |
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| 348 | return retval |
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[102] | 349 | |
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[876] | 350 | def stddev(self,mask=None): |
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[135] | 351 | """ |
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| 352 | Determine the standard deviation of the current beam/if/pol |
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| 353 | Takes a 'mask' as an optional parameter to specify which |
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| 354 | channels should be excluded. |
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| 355 | Parameters: |
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| 356 | mask: an optional mask specifying where the standard |
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| 357 | deviation should be determined. |
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| 358 | |
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| 359 | Example: |
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| 360 | scan.set_unit('channel') |
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| 361 | msk = scan.create_mask([100,200],[500,600]) |
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| 362 | scan.stddev(mask=m) |
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| 363 | """ |
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[876] | 364 | return self.stats(stat='stddev',mask=mask); |
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[135] | 365 | |
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[1003] | 366 | |
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| 367 | def column_names(self): |
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| 368 | """ |
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| 369 | Return a list of column names, which can be used for selection. |
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| 370 | """ |
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| 371 | return list(Scantable.column_names(self)) |
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| 372 | |
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[876] | 373 | def get_tsys(self): |
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[113] | 374 | """ |
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| 375 | Return the System temperatures. |
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| 376 | Parameters: |
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[876] | 377 | |
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[113] | 378 | Returns: |
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[876] | 379 | a list of Tsys values for the current selection |
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[113] | 380 | """ |
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[256] | 381 | |
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[876] | 382 | return self._row_callback(self._gettsys, "Tsys") |
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[256] | 383 | |
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[876] | 384 | def _row_callback(self, callback, label): |
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| 385 | axes = [] |
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| 386 | axesnames = ['scanno','beamno','ifno','polno','cycleno'] |
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| 387 | out = "" |
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| 388 | outvec =[] |
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| 389 | for i in range(self.nrow()): |
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| 390 | axis = [] |
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| 391 | axis.append(self.getscan(i)) |
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| 392 | axis.append(self.getbeam(i)) |
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| 393 | axis.append(self.getif(i)) |
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| 394 | axis.append(self.getpol(i)) |
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| 395 | axis.append(self.getcycle(i)) |
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| 396 | axes.append(axis) |
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| 397 | tm = self._gettime(i) |
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| 398 | src = self._getsourcename(i) |
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| 399 | out += 'Scan[%d] (%s) ' % (axis[0], src) |
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| 400 | out += 'Time[%s]:\n' % (tm) |
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| 401 | if self.nbeam(-1) > 1: out += ' Beam[%d] ' % (axis[1]) |
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| 402 | if self.nif(-1) > 1: out += ' IF[%d] ' % (axis[2]) |
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| 403 | if self.npol(-1) > 1: out += ' Pol[%d] ' % (axis[3]) |
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| 404 | outvec.append(callback(i)) |
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| 405 | out += '= %3.3f\n' % (outvec[i]) |
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| 406 | out += "--------------------------------------------------\n" |
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| 407 | if rcParams['verbose']: |
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| 408 | print "--------------------------------------------------" |
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| 409 | print " %s" % (label) |
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| 410 | print "--------------------------------------------------" |
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| 411 | print out |
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| 412 | retval = {'axesnames': axesnames, 'axes': axes, 'data': outvec} |
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| 413 | return retval |
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[256] | 414 | |
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[1070] | 415 | def _get_column(self, callback, row=-1): |
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| 416 | """ |
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| 417 | """ |
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| 418 | if row == -1: |
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| 419 | return [callback(i) for i in range(self.nrow())] |
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| 420 | else: |
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| 421 | if 0 <= row < self.nrow(): |
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| 422 | return callback(row) |
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[256] | 423 | |
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[1070] | 424 | |
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[407] | 425 | def get_time(self, row=-1): |
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[113] | 426 | """ |
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| 427 | Get a list of time stamps for the observations. |
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[181] | 428 | Return a string for each integration in the scantable. |
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[113] | 429 | Parameters: |
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[407] | 430 | row: row no of integration. Default -1 return all rows |
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[113] | 431 | Example: |
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| 432 | none |
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| 433 | """ |
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[1070] | 434 | return self._get_column(self._gettime, row) |
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[102] | 435 | |
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[714] | 436 | def get_sourcename(self, row=-1): |
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| 437 | """ |
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[794] | 438 | Get a list source names for the observations. |
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[714] | 439 | Return a string for each integration in the scantable. |
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| 440 | Parameters: |
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| 441 | row: row no of integration. Default -1 return all rows |
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| 442 | Example: |
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| 443 | none |
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| 444 | """ |
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[1070] | 445 | return self._get_column(self._getsourcename, row) |
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[714] | 446 | |
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[794] | 447 | def get_elevation(self, row=-1): |
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| 448 | """ |
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| 449 | Get a list of elevations for the observations. |
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| 450 | Return a float for each integration in the scantable. |
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| 451 | Parameters: |
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| 452 | row: row no of integration. Default -1 return all rows |
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| 453 | Example: |
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| 454 | none |
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| 455 | """ |
---|
[1070] | 456 | return self._get_column(self._getelevation, row) |
---|
[794] | 457 | |
---|
| 458 | def get_azimuth(self, row=-1): |
---|
| 459 | """ |
---|
| 460 | Get a list of azimuths for the observations. |
---|
| 461 | Return a float for each integration in the scantable. |
---|
| 462 | Parameters: |
---|
| 463 | row: row no of integration. Default -1 return all rows |
---|
| 464 | Example: |
---|
| 465 | none |
---|
| 466 | """ |
---|
[1070] | 467 | return self._get_column(self._getazimuth, row) |
---|
[794] | 468 | |
---|
| 469 | def get_parangle(self, row=-1): |
---|
| 470 | """ |
---|
| 471 | Get a list of parallactic angles for the observations. |
---|
| 472 | Return a float for each integration in the scantable. |
---|
| 473 | Parameters: |
---|
| 474 | row: row no of integration. Default -1 return all rows |
---|
| 475 | Example: |
---|
| 476 | none |
---|
| 477 | """ |
---|
[1070] | 478 | return self._get_column(self._getparangle, row) |
---|
[794] | 479 | |
---|
[1070] | 480 | def get_direction(self, row=-1): |
---|
| 481 | """ |
---|
| 482 | Get a list of Positions on the sky (direction) for the observations. |
---|
| 483 | Return a float for each integration in the scantable. |
---|
| 484 | Parameters: |
---|
| 485 | row: row no of integration. Default -1 return all rows |
---|
| 486 | Example: |
---|
| 487 | none |
---|
| 488 | """ |
---|
| 489 | return self._get_column(self._getdirection, row) |
---|
| 490 | |
---|
[102] | 491 | def set_unit(self, unit='channel'): |
---|
| 492 | """ |
---|
| 493 | Set the unit for all following operations on this scantable |
---|
| 494 | Parameters: |
---|
| 495 | unit: optional unit, default is 'channel' |
---|
[113] | 496 | one of '*Hz','km/s','channel', '' |
---|
[102] | 497 | """ |
---|
[484] | 498 | varlist = vars() |
---|
[113] | 499 | if unit in ['','pixel', 'channel']: |
---|
| 500 | unit = '' |
---|
| 501 | inf = list(self._getcoordinfo()) |
---|
| 502 | inf[0] = unit |
---|
| 503 | self._setcoordinfo(inf) |
---|
[484] | 504 | self._add_history("set_unit",varlist) |
---|
[113] | 505 | |
---|
[484] | 506 | def set_instrument(self, instr): |
---|
[358] | 507 | """ |
---|
| 508 | Set the instrument for subsequent processing |
---|
| 509 | Parameters: |
---|
[710] | 510 | instr: Select from 'ATPKSMB', 'ATPKSHOH', 'ATMOPRA', |
---|
[407] | 511 | 'DSS-43' (Tid), 'CEDUNA', and 'HOBART' |
---|
[358] | 512 | """ |
---|
| 513 | self._setInstrument(instr) |
---|
[484] | 514 | self._add_history("set_instument",vars()) |
---|
[718] | 515 | print_log() |
---|
[358] | 516 | |
---|
[276] | 517 | def set_doppler(self, doppler='RADIO'): |
---|
| 518 | """ |
---|
| 519 | Set the doppler for all following operations on this scantable. |
---|
| 520 | Parameters: |
---|
| 521 | doppler: One of 'RADIO', 'OPTICAL', 'Z', 'BETA', 'GAMMA' |
---|
| 522 | """ |
---|
[484] | 523 | varlist = vars() |
---|
[276] | 524 | inf = list(self._getcoordinfo()) |
---|
| 525 | inf[2] = doppler |
---|
| 526 | self._setcoordinfo(inf) |
---|
[484] | 527 | self._add_history("set_doppler",vars()) |
---|
[718] | 528 | print_log() |
---|
[710] | 529 | |
---|
[226] | 530 | def set_freqframe(self, frame=None): |
---|
[113] | 531 | """ |
---|
| 532 | Set the frame type of the Spectral Axis. |
---|
| 533 | Parameters: |
---|
[591] | 534 | frame: an optional frame type, default 'LSRK'. Valid frames are: |
---|
| 535 | 'REST','TOPO','LSRD','LSRK','BARY', |
---|
| 536 | 'GEO','GALACTO','LGROUP','CMB' |
---|
[113] | 537 | Examples: |
---|
| 538 | scan.set_freqframe('BARY') |
---|
| 539 | """ |
---|
[484] | 540 | if frame is None: frame = rcParams['scantable.freqframe'] |
---|
| 541 | varlist = vars() |
---|
[113] | 542 | valid = ['REST','TOPO','LSRD','LSRK','BARY', \ |
---|
| 543 | 'GEO','GALACTO','LGROUP','CMB'] |
---|
[591] | 544 | |
---|
[989] | 545 | if frame in valid: |
---|
[113] | 546 | inf = list(self._getcoordinfo()) |
---|
| 547 | inf[1] = frame |
---|
| 548 | self._setcoordinfo(inf) |
---|
[484] | 549 | self._add_history("set_freqframe",varlist) |
---|
[102] | 550 | else: |
---|
[718] | 551 | msg = "Please specify a valid freq type. Valid types are:\n",valid |
---|
| 552 | if rcParams['verbose']: |
---|
| 553 | print msg |
---|
| 554 | else: |
---|
| 555 | raise TypeError(msg) |
---|
| 556 | print_log() |
---|
[710] | 557 | |
---|
[989] | 558 | def set_dirframe(self, frame=""): |
---|
| 559 | """ |
---|
| 560 | Set the frame type of the Direction on the sky. |
---|
| 561 | Parameters: |
---|
| 562 | frame: an optional frame type, default ''. Valid frames are: |
---|
| 563 | 'J2000', 'B1950', 'GALACTIC' |
---|
| 564 | Examples: |
---|
| 565 | scan.set_dirframe('GALACTIC') |
---|
| 566 | """ |
---|
| 567 | varlist = vars() |
---|
| 568 | try: |
---|
| 569 | Scantable.set_dirframe(self, frame) |
---|
| 570 | except RuntimeError,msg: |
---|
| 571 | if rcParams['verbose']: |
---|
| 572 | print msg |
---|
| 573 | else: |
---|
| 574 | raise |
---|
| 575 | self._add_history("set_dirframe",varlist) |
---|
| 576 | |
---|
[113] | 577 | def get_unit(self): |
---|
| 578 | """ |
---|
| 579 | Get the default unit set in this scantable |
---|
| 580 | Parameters: |
---|
| 581 | Returns: |
---|
| 582 | A unit string |
---|
| 583 | """ |
---|
| 584 | inf = self._getcoordinfo() |
---|
| 585 | unit = inf[0] |
---|
| 586 | if unit == '': unit = 'channel' |
---|
| 587 | return unit |
---|
[102] | 588 | |
---|
[158] | 589 | def get_abcissa(self, rowno=0): |
---|
[102] | 590 | """ |
---|
[158] | 591 | Get the abcissa in the current coordinate setup for the currently |
---|
[113] | 592 | selected Beam/IF/Pol |
---|
| 593 | Parameters: |
---|
[226] | 594 | rowno: an optional row number in the scantable. Default is the |
---|
| 595 | first row, i.e. rowno=0 |
---|
[113] | 596 | Returns: |
---|
[407] | 597 | The abcissa values and it's format string (as a dictionary) |
---|
[113] | 598 | """ |
---|
[256] | 599 | abc = self._getabcissa(rowno) |
---|
[710] | 600 | lbl = self._getabcissalabel(rowno) |
---|
[718] | 601 | print_log() |
---|
[158] | 602 | return abc, lbl |
---|
[113] | 603 | |
---|
[1001] | 604 | def flag(self, mask=[]): |
---|
| 605 | """ |
---|
| 606 | Flag the selected data using an optional channel mask. |
---|
| 607 | Parameters: |
---|
| 608 | mask: an optional channel mask, created with create_mask. Default |
---|
| 609 | (no mask) is all channels. |
---|
| 610 | """ |
---|
| 611 | varlist = vars() |
---|
| 612 | try: |
---|
| 613 | self._flag(mask) |
---|
| 614 | except RuntimeError,msg: |
---|
| 615 | if rcParams['verbose']: |
---|
| 616 | print msg |
---|
| 617 | return |
---|
| 618 | else: raise |
---|
| 619 | self._add_history("flag", varlist) |
---|
| 620 | |
---|
| 621 | |
---|
[113] | 622 | def create_mask(self, *args, **kwargs): |
---|
| 623 | """ |
---|
[102] | 624 | Compute and return a mask based on [min,max] windows. |
---|
[189] | 625 | The specified windows are to be INCLUDED, when the mask is |
---|
[113] | 626 | applied. |
---|
[102] | 627 | Parameters: |
---|
| 628 | [min,max],[min2,max2],... |
---|
[1024] | 629 | Pairs of start/end points (inclusive)specifying the regions |
---|
[102] | 630 | to be masked |
---|
[189] | 631 | invert: optional argument. If specified as True, |
---|
| 632 | return an inverted mask, i.e. the regions |
---|
| 633 | specified are EXCLUDED |
---|
[513] | 634 | row: create the mask using the specified row for |
---|
| 635 | unit conversions, default is row=0 |
---|
| 636 | only necessary if frequency varies over rows. |
---|
[102] | 637 | Example: |
---|
[113] | 638 | scan.set_unit('channel') |
---|
| 639 | a) |
---|
[1024] | 640 | msk = scan.create_mask([400,500],[800,900]) |
---|
[189] | 641 | # masks everything outside 400 and 500 |
---|
[113] | 642 | # and 800 and 900 in the unit 'channel' |
---|
| 643 | |
---|
| 644 | b) |
---|
[1024] | 645 | msk = scan.create_mask([400,500],[800,900], invert=True) |
---|
[189] | 646 | # masks the regions between 400 and 500 |
---|
[113] | 647 | # and 800 and 900 in the unit 'channel' |
---|
[1024] | 648 | c) |
---|
| 649 | mask only channel 400 |
---|
| 650 | msk = scan.create_mask([400,400]) |
---|
[102] | 651 | """ |
---|
[513] | 652 | row = 0 |
---|
| 653 | if kwargs.has_key("row"): |
---|
| 654 | row = kwargs.get("row") |
---|
| 655 | data = self._getabcissa(row) |
---|
[113] | 656 | u = self._getcoordinfo()[0] |
---|
[718] | 657 | if rcParams['verbose']: |
---|
[113] | 658 | if u == "": u = "channel" |
---|
[718] | 659 | from asap import asaplog |
---|
| 660 | msg = "The current mask window unit is %s" % u |
---|
[914] | 661 | if not self._check_ifs(): |
---|
[876] | 662 | msg += "\nThis mask is only valid for IF=%d" % (self.getif(i)) |
---|
[718] | 663 | asaplog.push(msg) |
---|
[102] | 664 | n = self.nchan() |
---|
[189] | 665 | msk = zeros(n) |
---|
[710] | 666 | # test if args is a 'list' or a 'normal *args - UGLY!!! |
---|
| 667 | |
---|
| 668 | ws = (isinstance(args[-1][-1],int) or isinstance(args[-1][-1],float)) and args or args[0] |
---|
| 669 | for window in ws: |
---|
[102] | 670 | if (len(window) != 2 or window[0] > window[1] ): |
---|
[718] | 671 | raise TypeError("A window needs to be defined as [min,max]") |
---|
[102] | 672 | for i in range(n): |
---|
[1024] | 673 | if data[i] >= window[0] and data[i] <= window[1]: |
---|
[189] | 674 | msk[i] = 1 |
---|
[113] | 675 | if kwargs.has_key('invert'): |
---|
| 676 | if kwargs.get('invert'): |
---|
| 677 | from numarray import logical_not |
---|
[710] | 678 | msk = logical_not(msk) |
---|
[718] | 679 | print_log() |
---|
[102] | 680 | return msk |
---|
[710] | 681 | |
---|
[256] | 682 | def get_restfreqs(self): |
---|
| 683 | """ |
---|
| 684 | Get the restfrequency(s) stored in this scantable. |
---|
| 685 | The return value(s) are always of unit 'Hz' |
---|
| 686 | Parameters: |
---|
| 687 | none |
---|
| 688 | Returns: |
---|
| 689 | a list of doubles |
---|
| 690 | """ |
---|
| 691 | return list(self._getrestfreqs()) |
---|
[102] | 692 | |
---|
[402] | 693 | |
---|
[931] | 694 | def set_restfreqs(self, freqs=None, unit='Hz'): |
---|
| 695 | """ |
---|
| 696 | Set or replace the restfrequency specified and |
---|
| 697 | If the 'freqs' argument holds a scalar, |
---|
| 698 | then that rest frequency will be applied to all the selected |
---|
| 699 | data. If the 'freqs' argument holds |
---|
| 700 | a vector, then it MUST be of equal or smaller length than |
---|
| 701 | the number of IFs (and the available restfrequencies will be |
---|
| 702 | replaced by this vector). In this case, *all* data have |
---|
| 703 | the restfrequency set per IF according |
---|
| 704 | to the corresponding value you give in the 'freqs' vector. |
---|
| 705 | E.g. 'freqs=[1e9,2e9]' would mean IF 0 gets restfreq 1e9 and |
---|
| 706 | IF 1 gets restfreq 2e9. |
---|
| 707 | You can also specify the frequencies via known line names |
---|
| 708 | from the built-in Lovas table. |
---|
| 709 | Parameters: |
---|
| 710 | freqs: list of rest frequency values or string idenitfiers |
---|
| 711 | unit: unit for rest frequency (default 'Hz') |
---|
[402] | 712 | |
---|
[931] | 713 | Example: |
---|
| 714 | # set the given restfrequency for the whole table |
---|
| 715 | scan.set_restfreqs(freqs=1.4e9) |
---|
| 716 | # If thee number of IFs in the data is >= 2 the IF0 gets the first |
---|
| 717 | # value IF1 the second... |
---|
| 718 | scan.set_restfreqs(freqs=[1.4e9,1.67e9]) |
---|
| 719 | #set the given restfrequency for the whole table (by name) |
---|
| 720 | scan.set_restfreqs(freqs="OH1667") |
---|
[391] | 721 | |
---|
[931] | 722 | Note: |
---|
| 723 | To do more sophisticate Restfrequency setting, e.g. on a |
---|
| 724 | source and IF basis, use scantable.set_selection() before using |
---|
| 725 | this function. |
---|
| 726 | # provide your scantable is call scan |
---|
| 727 | selection = selector() |
---|
| 728 | selection.set_name("ORION*") |
---|
| 729 | selection.set_ifs([1]) |
---|
| 730 | scan.set_selection(selection) |
---|
| 731 | scan.set_restfreqs(freqs=86.6e9) |
---|
| 732 | |
---|
| 733 | """ |
---|
| 734 | varlist = vars() |
---|
| 735 | |
---|
| 736 | t = type(freqs) |
---|
| 737 | if isinstance(freqs, int) or isinstance(freqs,float): |
---|
| 738 | self._setrestfreqs(freqs, unit) |
---|
| 739 | elif isinstance(freqs, list) or isinstance(freqs,tuple): |
---|
| 740 | if isinstance(freqs[-1], int) or isinstance(freqs[-1],float): |
---|
| 741 | sel = selector() |
---|
| 742 | savesel = self._getselection() |
---|
| 743 | for i in xrange(len(freqs)): |
---|
[946] | 744 | sel.set_ifs([i]) |
---|
[931] | 745 | self._setselection(sel) |
---|
| 746 | self._setrestfreqs(freqs[i], unit) |
---|
| 747 | self._setselection(savesel) |
---|
| 748 | elif isinstance(freqs[-1], str): |
---|
| 749 | # not yet implemented |
---|
| 750 | pass |
---|
| 751 | else: |
---|
| 752 | return |
---|
| 753 | self._add_history("set_restfreqs", varlist) |
---|
| 754 | |
---|
| 755 | |
---|
| 756 | |
---|
[484] | 757 | def history(self): |
---|
| 758 | hist = list(self._gethistory()) |
---|
[794] | 759 | out = "-"*80 |
---|
[484] | 760 | for h in hist: |
---|
[489] | 761 | if h.startswith("---"): |
---|
[794] | 762 | out += "\n"+h |
---|
[489] | 763 | else: |
---|
| 764 | items = h.split("##") |
---|
| 765 | date = items[0] |
---|
| 766 | func = items[1] |
---|
| 767 | items = items[2:] |
---|
[794] | 768 | out += "\n"+date+"\n" |
---|
| 769 | out += "Function: %s\n Parameters:" % (func) |
---|
[489] | 770 | for i in items: |
---|
| 771 | s = i.split("=") |
---|
[794] | 772 | out += "\n %s = %s" % (s[0],s[1]) |
---|
| 773 | out += "\n"+"-"*80 |
---|
| 774 | try: |
---|
| 775 | from IPython.genutils import page as pager |
---|
| 776 | except ImportError: |
---|
| 777 | from pydoc import pager |
---|
| 778 | pager(out) |
---|
[484] | 779 | return |
---|
| 780 | |
---|
[513] | 781 | # |
---|
| 782 | # Maths business |
---|
| 783 | # |
---|
| 784 | |
---|
[931] | 785 | def average_time(self, mask=None, scanav=False, weight='tint', align=False): |
---|
[513] | 786 | """ |
---|
[1070] | 787 | Return the (time) weighted average of a scan. |
---|
[513] | 788 | Note: |
---|
[1070] | 789 | in channels only - align if necessary |
---|
[513] | 790 | Parameters: |
---|
| 791 | one scan or comma separated scans |
---|
| 792 | mask: an optional mask (only used for 'var' and 'tsys' |
---|
| 793 | weighting) |
---|
[558] | 794 | scanav: True averages each scan separately |
---|
| 795 | False (default) averages all scans together, |
---|
[1099] | 796 | weight: Weighting scheme. |
---|
| 797 | 'none' (mean no weight) |
---|
| 798 | 'var' (1/var(spec) weighted) |
---|
| 799 | 'tsys' (1/Tsys**2 weighted) |
---|
| 800 | 'tint' (integration time weighted) |
---|
| 801 | 'tintsys' (Tint/Tsys**2) |
---|
| 802 | 'median' ( median averaging) |
---|
[535] | 803 | The default is 'tint' |
---|
[931] | 804 | align: align the spectra in velocity before averaging. It takes |
---|
| 805 | the time of the first spectrum as reference time. |
---|
[513] | 806 | Example: |
---|
| 807 | # time average the scantable without using a mask |
---|
[710] | 808 | newscan = scan.average_time() |
---|
[513] | 809 | """ |
---|
| 810 | varlist = vars() |
---|
[976] | 811 | if weight is None: weight = 'TINT' |
---|
[513] | 812 | if mask is None: mask = () |
---|
[1099] | 813 | if scanav: scanav = "SCAN" |
---|
| 814 | else: scanav = "NONE" |
---|
[981] | 815 | scan = (self,) |
---|
[989] | 816 | try: |
---|
| 817 | if align: |
---|
| 818 | scan = (self.freq_align(insitu=False),) |
---|
[1099] | 819 | s = None |
---|
| 820 | if weight.upper() == 'MEDIAN': |
---|
| 821 | s = scantable(self._math._averagechannel(scan[0], 'MEDIAN', scanav)) |
---|
| 822 | else: |
---|
| 823 | s = scantable(self._math._average(scan, mask, weight.upper(), |
---|
[989] | 824 | scanav)) |
---|
| 825 | except RuntimeError,msg: |
---|
| 826 | if rcParams['verbose']: |
---|
| 827 | print msg |
---|
| 828 | return |
---|
| 829 | else: raise |
---|
[1099] | 830 | s._add_history("average_time", varlist) |
---|
[718] | 831 | print_log() |
---|
[513] | 832 | return s |
---|
[710] | 833 | |
---|
[876] | 834 | def convert_flux(self, jyperk=None, eta=None, d=None, insitu=None): |
---|
[513] | 835 | """ |
---|
| 836 | Return a scan where all spectra are converted to either |
---|
| 837 | Jansky or Kelvin depending upon the flux units of the scan table. |
---|
| 838 | By default the function tries to look the values up internally. |
---|
| 839 | If it can't find them (or if you want to over-ride), you must |
---|
| 840 | specify EITHER jyperk OR eta (and D which it will try to look up |
---|
| 841 | also if you don't set it). jyperk takes precedence if you set both. |
---|
| 842 | Parameters: |
---|
| 843 | jyperk: the Jy / K conversion factor |
---|
| 844 | eta: the aperture efficiency |
---|
| 845 | d: the geomtric diameter (metres) |
---|
| 846 | insitu: if False a new scantable is returned. |
---|
| 847 | Otherwise, the scaling is done in-situ |
---|
| 848 | The default is taken from .asaprc (False) |
---|
| 849 | allaxes: if True apply to all spectra. Otherwise |
---|
| 850 | apply only to the selected (beam/pol/if)spectra only |
---|
| 851 | The default is taken from .asaprc (True if none) |
---|
| 852 | """ |
---|
| 853 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 854 | self._math._setinsitu(insitu) |
---|
[513] | 855 | varlist = vars() |
---|
| 856 | if jyperk is None: jyperk = -1.0 |
---|
| 857 | if d is None: d = -1.0 |
---|
| 858 | if eta is None: eta = -1.0 |
---|
[876] | 859 | s = scantable(self._math._convertflux(self, d, eta, jyperk)) |
---|
| 860 | s._add_history("convert_flux", varlist) |
---|
| 861 | print_log() |
---|
| 862 | if insitu: self._assign(s) |
---|
| 863 | else: return s |
---|
[513] | 864 | |
---|
[876] | 865 | def gain_el(self, poly=None, filename="", method="linear", insitu=None): |
---|
[513] | 866 | """ |
---|
| 867 | Return a scan after applying a gain-elevation correction. |
---|
| 868 | The correction can be made via either a polynomial or a |
---|
| 869 | table-based interpolation (and extrapolation if necessary). |
---|
| 870 | You specify polynomial coefficients, an ascii table or neither. |
---|
| 871 | If you specify neither, then a polynomial correction will be made |
---|
| 872 | with built in coefficients known for certain telescopes (an error |
---|
| 873 | will occur if the instrument is not known). |
---|
| 874 | The data and Tsys are *divided* by the scaling factors. |
---|
| 875 | Parameters: |
---|
| 876 | poly: Polynomial coefficients (default None) to compute a |
---|
| 877 | gain-elevation correction as a function of |
---|
| 878 | elevation (in degrees). |
---|
| 879 | filename: The name of an ascii file holding correction factors. |
---|
| 880 | The first row of the ascii file must give the column |
---|
| 881 | names and these MUST include columns |
---|
| 882 | "ELEVATION" (degrees) and "FACTOR" (multiply data |
---|
| 883 | by this) somewhere. |
---|
| 884 | The second row must give the data type of the |
---|
| 885 | column. Use 'R' for Real and 'I' for Integer. |
---|
| 886 | An example file would be |
---|
| 887 | (actual factors are arbitrary) : |
---|
| 888 | |
---|
| 889 | TIME ELEVATION FACTOR |
---|
| 890 | R R R |
---|
| 891 | 0.1 0 0.8 |
---|
| 892 | 0.2 20 0.85 |
---|
| 893 | 0.3 40 0.9 |
---|
| 894 | 0.4 60 0.85 |
---|
| 895 | 0.5 80 0.8 |
---|
| 896 | 0.6 90 0.75 |
---|
| 897 | method: Interpolation method when correcting from a table. |
---|
| 898 | Values are "nearest", "linear" (default), "cubic" |
---|
| 899 | and "spline" |
---|
| 900 | insitu: if False a new scantable is returned. |
---|
| 901 | Otherwise, the scaling is done in-situ |
---|
| 902 | The default is taken from .asaprc (False) |
---|
| 903 | """ |
---|
| 904 | |
---|
| 905 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 906 | self._math._setinsitu(insitu) |
---|
[513] | 907 | varlist = vars() |
---|
| 908 | if poly is None: |
---|
| 909 | poly = () |
---|
| 910 | from os.path import expandvars |
---|
| 911 | filename = expandvars(filename) |
---|
[876] | 912 | s = scantable(self._math._gainel(self, poly, filename, method)) |
---|
| 913 | s._add_history("gain_el", varlist) |
---|
| 914 | print_log() |
---|
| 915 | if insitu: self._assign(s) |
---|
| 916 | else: return s |
---|
[710] | 917 | |
---|
[931] | 918 | def freq_align(self, reftime=None, method='cubic', insitu=None): |
---|
[513] | 919 | """ |
---|
| 920 | Return a scan where all rows have been aligned in frequency/velocity. |
---|
| 921 | The alignment frequency frame (e.g. LSRK) is that set by function |
---|
| 922 | set_freqframe. |
---|
| 923 | Parameters: |
---|
| 924 | reftime: reference time to align at. By default, the time of |
---|
| 925 | the first row of data is used. |
---|
| 926 | method: Interpolation method for regridding the spectra. |
---|
| 927 | Choose from "nearest", "linear", "cubic" (default) |
---|
| 928 | and "spline" |
---|
| 929 | insitu: if False a new scantable is returned. |
---|
| 930 | Otherwise, the scaling is done in-situ |
---|
| 931 | The default is taken from .asaprc (False) |
---|
| 932 | """ |
---|
[931] | 933 | if insitu is None: insitu = rcParams["insitu"] |
---|
[876] | 934 | self._math._setinsitu(insitu) |
---|
[513] | 935 | varlist = vars() |
---|
[931] | 936 | if reftime is None: reftime = "" |
---|
| 937 | s = scantable(self._math._freq_align(self, reftime, method)) |
---|
[876] | 938 | s._add_history("freq_align", varlist) |
---|
| 939 | print_log() |
---|
| 940 | if insitu: self._assign(s) |
---|
| 941 | else: return s |
---|
[513] | 942 | |
---|
[876] | 943 | def opacity(self, tau, insitu=None): |
---|
[513] | 944 | """ |
---|
| 945 | Apply an opacity correction. The data |
---|
| 946 | and Tsys are multiplied by the correction factor. |
---|
| 947 | Parameters: |
---|
| 948 | tau: Opacity from which the correction factor is |
---|
| 949 | exp(tau*ZD) |
---|
| 950 | where ZD is the zenith-distance |
---|
| 951 | insitu: if False a new scantable is returned. |
---|
| 952 | Otherwise, the scaling is done in-situ |
---|
| 953 | The default is taken from .asaprc (False) |
---|
| 954 | """ |
---|
| 955 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 956 | self._math._setinsitu(insitu) |
---|
[513] | 957 | varlist = vars() |
---|
[876] | 958 | s = scantable(self._math._opacity(self, tau)) |
---|
| 959 | s._add_history("opacity", varlist) |
---|
| 960 | print_log() |
---|
| 961 | if insitu: self._assign(s) |
---|
| 962 | else: return s |
---|
[513] | 963 | |
---|
| 964 | def bin(self, width=5, insitu=None): |
---|
| 965 | """ |
---|
| 966 | Return a scan where all spectra have been binned up. |
---|
| 967 | width: The bin width (default=5) in pixels |
---|
| 968 | insitu: if False a new scantable is returned. |
---|
| 969 | Otherwise, the scaling is done in-situ |
---|
| 970 | The default is taken from .asaprc (False) |
---|
| 971 | """ |
---|
| 972 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 973 | self._math._setinsitu(insitu) |
---|
[513] | 974 | varlist = vars() |
---|
[876] | 975 | s = scantable(self._math._bin(self, width)) |
---|
| 976 | s._add_history("bin",varlist) |
---|
| 977 | print_log() |
---|
| 978 | if insitu: self._assign(s) |
---|
| 979 | else: return s |
---|
[513] | 980 | |
---|
[710] | 981 | |
---|
[513] | 982 | def resample(self, width=5, method='cubic', insitu=None): |
---|
| 983 | """ |
---|
| 984 | Return a scan where all spectra have been binned up |
---|
| 985 | width: The bin width (default=5) in pixels |
---|
| 986 | method: Interpolation method when correcting from a table. |
---|
| 987 | Values are "nearest", "linear", "cubic" (default) |
---|
| 988 | and "spline" |
---|
| 989 | insitu: if False a new scantable is returned. |
---|
| 990 | Otherwise, the scaling is done in-situ |
---|
| 991 | The default is taken from .asaprc (False) |
---|
| 992 | """ |
---|
| 993 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 994 | self._math._setinsitu(insitu) |
---|
[513] | 995 | varlist = vars() |
---|
[876] | 996 | s = scantable(self._math._resample(self, method, width)) |
---|
| 997 | s._add_history("resample",varlist) |
---|
| 998 | print_log() |
---|
| 999 | if insitu: self._assign(s) |
---|
| 1000 | else: return s |
---|
[513] | 1001 | |
---|
| 1002 | |
---|
[946] | 1003 | def average_pol(self, mask=None, weight='none'): |
---|
| 1004 | """ |
---|
| 1005 | Average the Polarisations together. |
---|
| 1006 | Parameters: |
---|
| 1007 | mask: An optional mask defining the region, where the |
---|
| 1008 | averaging will be applied. The output will have all |
---|
| 1009 | specified points masked. |
---|
| 1010 | weight: Weighting scheme. 'none' (default), 'var' (1/var(spec) |
---|
| 1011 | weighted), or 'tsys' (1/Tsys**2 weighted) |
---|
| 1012 | """ |
---|
| 1013 | varlist = vars() |
---|
| 1014 | if mask is None: |
---|
| 1015 | mask = () |
---|
[1010] | 1016 | s = scantable(self._math._averagepol(self, mask, weight.upper())) |
---|
[946] | 1017 | s._add_history("average_pol",varlist) |
---|
| 1018 | print_log() |
---|
[992] | 1019 | return s |
---|
[513] | 1020 | |
---|
[992] | 1021 | def convert_pol(self, poltype=None): |
---|
| 1022 | """ |
---|
| 1023 | Convert the data to a different polarisation type. |
---|
| 1024 | Parameters: |
---|
| 1025 | poltype: The new polarisation type. Valid types are: |
---|
| 1026 | "linear", "stokes" and "circular" |
---|
| 1027 | """ |
---|
| 1028 | varlist = vars() |
---|
| 1029 | try: |
---|
| 1030 | s = scantable(self._math._convertpol(self, poltype)) |
---|
| 1031 | except RuntimeError,msg: |
---|
| 1032 | if rcParams['verbose']: |
---|
| 1033 | print msg |
---|
| 1034 | return |
---|
| 1035 | else: |
---|
| 1036 | raise |
---|
| 1037 | s._add_history("convert_pol",varlist) |
---|
| 1038 | print_log() |
---|
| 1039 | return s |
---|
| 1040 | |
---|
[876] | 1041 | def smooth(self, kernel="hanning", width=5.0, insitu=None): |
---|
[513] | 1042 | """ |
---|
| 1043 | Smooth the spectrum by the specified kernel (conserving flux). |
---|
| 1044 | Parameters: |
---|
| 1045 | scan: The input scan |
---|
| 1046 | kernel: The type of smoothing kernel. Select from |
---|
| 1047 | 'hanning' (default), 'gaussian' and 'boxcar'. |
---|
| 1048 | The first three characters are sufficient. |
---|
| 1049 | width: The width of the kernel in pixels. For hanning this is |
---|
| 1050 | ignored otherwise it defauls to 5 pixels. |
---|
| 1051 | For 'gaussian' it is the Full Width Half |
---|
| 1052 | Maximum. For 'boxcar' it is the full width. |
---|
| 1053 | insitu: if False a new scantable is returned. |
---|
| 1054 | Otherwise, the scaling is done in-situ |
---|
| 1055 | The default is taken from .asaprc (False) |
---|
| 1056 | Example: |
---|
| 1057 | none |
---|
| 1058 | """ |
---|
| 1059 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 1060 | self._math._setinsitu(insitu) |
---|
[513] | 1061 | varlist = vars() |
---|
[1033] | 1062 | s = scantable(self._math._smooth(self,kernel.lower(),width)) |
---|
[876] | 1063 | s._add_history("smooth", varlist) |
---|
| 1064 | print_log() |
---|
| 1065 | if insitu: self._assign(s) |
---|
| 1066 | else: return s |
---|
[513] | 1067 | |
---|
[876] | 1068 | |
---|
[1061] | 1069 | def poly_baseline(self, mask=None, order=0, plot=False, insitu=None): |
---|
[513] | 1070 | """ |
---|
| 1071 | Return a scan which has been baselined (all rows) by a polynomial. |
---|
| 1072 | Parameters: |
---|
[794] | 1073 | scan: a scantable |
---|
| 1074 | mask: an optional mask |
---|
| 1075 | order: the order of the polynomial (default is 0) |
---|
[1061] | 1076 | plot: plot the fit and the residual. In this each |
---|
| 1077 | indivual fit has to be approved, by typing 'y' |
---|
| 1078 | or 'n' |
---|
[794] | 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) |
---|
[513] | 1082 | Example: |
---|
| 1083 | # return a scan baselined by a third order polynomial, |
---|
| 1084 | # not using a mask |
---|
| 1085 | bscan = scan.poly_baseline(order=3) |
---|
[579] | 1086 | """ |
---|
[513] | 1087 | if insitu is None: insitu = rcParams['insitu'] |
---|
| 1088 | varlist = vars() |
---|
| 1089 | if mask is None: |
---|
| 1090 | from numarray import ones |
---|
[876] | 1091 | mask = list(ones(self.nchan(-1))) |
---|
[513] | 1092 | from asap.asapfitter import fitter |
---|
| 1093 | f = fitter() |
---|
| 1094 | f.set_scan(self, mask) |
---|
| 1095 | f.set_function(poly=order) |
---|
[1061] | 1096 | s = f.auto_fit(insitu, plot=plot) |
---|
[876] | 1097 | s._add_history("poly_baseline", varlist) |
---|
[718] | 1098 | print_log() |
---|
[876] | 1099 | if insitu: self._assign(s) |
---|
| 1100 | else: return s |
---|
[513] | 1101 | |
---|
[931] | 1102 | def auto_poly_baseline(self, mask=[], edge=(0,0), order=0, |
---|
[1061] | 1103 | threshold=3, plot=False, insitu=None): |
---|
[880] | 1104 | """ |
---|
| 1105 | Return a scan which has been baselined (all rows) by a polynomial. |
---|
| 1106 | Spectral lines are detected first using linefinder and masked out |
---|
| 1107 | to avoid them affecting the baseline solution. |
---|
| 1108 | |
---|
| 1109 | Parameters: |
---|
| 1110 | mask: an optional mask retreived from scantable |
---|
| 1111 | edge: an optional number of channel to drop at |
---|
| 1112 | the edge of spectrum. If only one value is |
---|
| 1113 | specified, the same number will be dropped from |
---|
| 1114 | both sides of the spectrum. Default is to keep |
---|
[907] | 1115 | all channels. Nested tuples represent individual |
---|
[976] | 1116 | edge selection for different IFs (a number of spectral |
---|
| 1117 | channels can be different) |
---|
[880] | 1118 | order: the order of the polynomial (default is 0) |
---|
| 1119 | threshold: the threshold used by line finder. It is better to |
---|
| 1120 | keep it large as only strong lines affect the |
---|
| 1121 | baseline solution. |
---|
[1061] | 1122 | plot: plot the fit and the residual. In this each |
---|
| 1123 | indivual fit has to be approved, by typing 'y' |
---|
| 1124 | or 'n' |
---|
[880] | 1125 | insitu: if False a new scantable is returned. |
---|
| 1126 | Otherwise, the scaling is done in-situ |
---|
| 1127 | The default is taken from .asaprc (False) |
---|
| 1128 | |
---|
| 1129 | Example: |
---|
| 1130 | scan2=scan.auto_poly_baseline(order=7) |
---|
| 1131 | """ |
---|
| 1132 | if insitu is None: insitu = rcParams['insitu'] |
---|
| 1133 | varlist = vars() |
---|
| 1134 | from asap.asapfitter import fitter |
---|
| 1135 | from asap.asaplinefind import linefinder |
---|
| 1136 | from asap import _is_sequence_or_number as _is_valid |
---|
| 1137 | |
---|
[976] | 1138 | # check whether edge is set up for each IF individually |
---|
| 1139 | individualEdge = False; |
---|
| 1140 | if len(edge)>1: |
---|
| 1141 | if isinstance(edge[0],list) or isinstance(edge[0],tuple): |
---|
| 1142 | individualEdge = True; |
---|
[907] | 1143 | |
---|
| 1144 | if not _is_valid(edge, int) and not individualEdge: |
---|
[909] | 1145 | raise ValueError, "Parameter 'edge' has to be an integer or a \ |
---|
[907] | 1146 | pair of integers specified as a tuple. Nested tuples are allowed \ |
---|
| 1147 | to make individual selection for different IFs." |
---|
[919] | 1148 | |
---|
[976] | 1149 | curedge = (0,0) |
---|
| 1150 | if individualEdge: |
---|
| 1151 | for edge_par in edge: |
---|
| 1152 | if not _is_valid(edge,int): |
---|
| 1153 | raise ValueError, "Each element of the 'edge' tuple has \ |
---|
[907] | 1154 | to be a pair of integers or an integer." |
---|
| 1155 | else: |
---|
[976] | 1156 | curedge = edge; |
---|
[880] | 1157 | |
---|
| 1158 | # setup fitter |
---|
| 1159 | f = fitter() |
---|
| 1160 | f.set_function(poly=order) |
---|
| 1161 | |
---|
| 1162 | # setup line finder |
---|
| 1163 | fl=linefinder() |
---|
| 1164 | fl.set_options(threshold=threshold) |
---|
| 1165 | |
---|
| 1166 | if not insitu: |
---|
| 1167 | workscan=self.copy() |
---|
| 1168 | else: |
---|
| 1169 | workscan=self |
---|
| 1170 | |
---|
[907] | 1171 | fl.set_scan(workscan) |
---|
| 1172 | |
---|
[880] | 1173 | rows=range(workscan.nrow()) |
---|
| 1174 | from asap import asaplog |
---|
| 1175 | asaplog.push("Processing:") |
---|
| 1176 | for r in rows: |
---|
| 1177 | msg = " Scan[%d] Beam[%d] IF[%d] Pol[%d] Cycle[%d]" % (workscan.getscan(r),workscan.getbeam(r),workscan.getif(r),workscan.getpol(r), workscan.getcycle(r)) |
---|
| 1178 | asaplog.push(msg, False) |
---|
[907] | 1179 | |
---|
[976] | 1180 | # figure out edge parameter |
---|
| 1181 | if individualEdge: |
---|
| 1182 | if len(edge)>=workscan.getif(r): |
---|
| 1183 | raise RuntimeError, "Number of edge elements appear to be less than the number of IFs" |
---|
| 1184 | curedge = edge[workscan.getif(r)] |
---|
[919] | 1185 | |
---|
[976] | 1186 | # setup line finder |
---|
[907] | 1187 | fl.find_lines(r,mask,curedge) |
---|
[880] | 1188 | f.set_scan(workscan, fl.get_mask()) |
---|
| 1189 | f.x = workscan._getabcissa(r) |
---|
| 1190 | f.y = workscan._getspectrum(r) |
---|
| 1191 | f.data = None |
---|
| 1192 | f.fit() |
---|
| 1193 | x = f.get_parameters() |
---|
[1061] | 1194 | if plot: |
---|
| 1195 | f.plot(residual=True) |
---|
| 1196 | x = raw_input("Accept fit ( [y]/n ): ") |
---|
| 1197 | if x.upper() == 'N': |
---|
| 1198 | continue |
---|
[880] | 1199 | workscan._setspectrum(f.fitter.getresidual(), r) |
---|
[1061] | 1200 | if plot: |
---|
| 1201 | f._p.unmap() |
---|
| 1202 | f._p = None |
---|
| 1203 | workscan._add_history("auto_poly_baseline", varlist) |
---|
[880] | 1204 | if insitu: |
---|
| 1205 | self._assign(workscan) |
---|
| 1206 | else: |
---|
| 1207 | return workscan |
---|
| 1208 | |
---|
[914] | 1209 | def rotate_linpolphase(self, angle): |
---|
| 1210 | """ |
---|
| 1211 | Rotate the phase of the complex polarization O=Q+iU correlation. |
---|
| 1212 | This is always done in situ in the raw data. So if you call this |
---|
| 1213 | function more than once then each call rotates the phase further. |
---|
| 1214 | Parameters: |
---|
| 1215 | angle: The angle (degrees) to rotate (add) by. |
---|
| 1216 | Examples: |
---|
| 1217 | scan.rotate_linpolphase(2.3) |
---|
| 1218 | """ |
---|
| 1219 | varlist = vars() |
---|
[936] | 1220 | self._math._rotate_linpolphase(self, angle) |
---|
[914] | 1221 | self._add_history("rotate_linpolphase", varlist) |
---|
| 1222 | print_log() |
---|
| 1223 | return |
---|
[710] | 1224 | |
---|
[513] | 1225 | |
---|
[914] | 1226 | def rotate_xyphase(self, angle): |
---|
| 1227 | """ |
---|
| 1228 | Rotate the phase of the XY correlation. This is always done in situ |
---|
| 1229 | in the data. So if you call this function more than once |
---|
| 1230 | then each call rotates the phase further. |
---|
| 1231 | Parameters: |
---|
| 1232 | angle: The angle (degrees) to rotate (add) by. |
---|
| 1233 | Examples: |
---|
| 1234 | scan.rotate_xyphase(2.3) |
---|
| 1235 | """ |
---|
| 1236 | varlist = vars() |
---|
[936] | 1237 | self._math._rotate_xyphase(self, angle) |
---|
[914] | 1238 | self._add_history("rotate_xyphase", varlist) |
---|
| 1239 | print_log() |
---|
| 1240 | return |
---|
| 1241 | |
---|
| 1242 | def swap_linears(self): |
---|
| 1243 | """ |
---|
| 1244 | Swap the linear polarisations XX and YY |
---|
| 1245 | """ |
---|
| 1246 | varlist = vars() |
---|
[936] | 1247 | self._math._swap_linears(self) |
---|
[914] | 1248 | self._add_history("swap_linears", varlist) |
---|
| 1249 | print_log() |
---|
| 1250 | return |
---|
| 1251 | |
---|
| 1252 | def invert_phase(self): |
---|
| 1253 | """ |
---|
| 1254 | Invert the phase of the complex polarisation |
---|
| 1255 | """ |
---|
| 1256 | varlist = vars() |
---|
[936] | 1257 | self._math._invert_phase(self) |
---|
[914] | 1258 | self._add_history("invert_phase", varlist) |
---|
| 1259 | print_log() |
---|
| 1260 | return |
---|
| 1261 | |
---|
[876] | 1262 | def add(self, offset, insitu=None): |
---|
[513] | 1263 | """ |
---|
| 1264 | Return a scan where all spectra have the offset added |
---|
| 1265 | Parameters: |
---|
| 1266 | offset: the offset |
---|
| 1267 | insitu: if False a new scantable is returned. |
---|
| 1268 | Otherwise, the scaling is done in-situ |
---|
| 1269 | The default is taken from .asaprc (False) |
---|
| 1270 | """ |
---|
| 1271 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 1272 | self._math._setinsitu(insitu) |
---|
[513] | 1273 | varlist = vars() |
---|
[876] | 1274 | s = scantable(self._math._unaryop(self, offset, "ADD", False)) |
---|
| 1275 | s._add_history("add",varlist) |
---|
| 1276 | print_log() |
---|
| 1277 | if insitu: |
---|
| 1278 | self._assign(s) |
---|
| 1279 | else: |
---|
[513] | 1280 | return s |
---|
| 1281 | |
---|
[876] | 1282 | def scale(self, factor, tsys=True, insitu=None,): |
---|
[513] | 1283 | """ |
---|
| 1284 | Return a scan where all spectra are scaled by the give 'factor' |
---|
| 1285 | Parameters: |
---|
| 1286 | factor: the scaling factor |
---|
| 1287 | insitu: if False a new scantable is returned. |
---|
| 1288 | Otherwise, the scaling is done in-situ |
---|
| 1289 | The default is taken from .asaprc (False) |
---|
| 1290 | tsys: if True (default) then apply the operation to Tsys |
---|
| 1291 | as well as the data |
---|
| 1292 | """ |
---|
| 1293 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 1294 | self._math._setinsitu(insitu) |
---|
[513] | 1295 | varlist = vars() |
---|
[876] | 1296 | s = scantable(self._math._unaryop(self, factor, "MUL", tsys)) |
---|
| 1297 | s._add_history("scale",varlist) |
---|
| 1298 | print_log() |
---|
| 1299 | if insitu: |
---|
| 1300 | self._assign(s) |
---|
| 1301 | else: |
---|
[513] | 1302 | return s |
---|
| 1303 | |
---|
[876] | 1304 | def auto_quotient(self, mode='time', preserve=True): |
---|
[670] | 1305 | """ |
---|
| 1306 | This function allows to build quotients automatically. |
---|
| 1307 | It assumes the observation to have the same numer of |
---|
| 1308 | "ons" and "offs" |
---|
| 1309 | It will support "closest off in time" in the future |
---|
| 1310 | Parameters: |
---|
| 1311 | mode: the on/off detection mode; 'suffix' (default) |
---|
| 1312 | 'suffix' identifies 'off' scans by the |
---|
| 1313 | trailing '_R' (Mopra/Parkes) or |
---|
| 1314 | '_e'/'_w' (Tid) |
---|
[710] | 1315 | preserve: you can preserve (default) the continuum or |
---|
| 1316 | remove it. The equations used are |
---|
[670] | 1317 | preserve: Output = Toff * (on/off) - Toff |
---|
[1070] | 1318 | remove: Output = Toff * (on/off) - Ton |
---|
[670] | 1319 | """ |
---|
[876] | 1320 | modes = ["time"] |
---|
[670] | 1321 | if not mode in modes: |
---|
[876] | 1322 | msg = "please provide valid mode. Valid modes are %s" % (modes) |
---|
| 1323 | raise ValueError(msg) |
---|
| 1324 | varlist = vars() |
---|
[1070] | 1325 | s = scantable(self._math._auto_quotient(self, mode, preserve)) |
---|
[876] | 1326 | s._add_history("auto_quotient",varlist) |
---|
| 1327 | print_log() |
---|
| 1328 | return s |
---|
[710] | 1329 | |
---|
[513] | 1330 | |
---|
[876] | 1331 | |
---|
| 1332 | |
---|
[718] | 1333 | def freq_switch(self, insitu=None): |
---|
| 1334 | """ |
---|
| 1335 | Apply frequency switching to the data. |
---|
| 1336 | Parameters: |
---|
| 1337 | insitu: if False a new scantable is returned. |
---|
| 1338 | Otherwise, the swictching is done in-situ |
---|
| 1339 | The default is taken from .asaprc (False) |
---|
| 1340 | Example: |
---|
| 1341 | none |
---|
| 1342 | """ |
---|
| 1343 | if insitu is None: insitu = rcParams['insitu'] |
---|
[876] | 1344 | self._math._setinsitu(insitu) |
---|
[718] | 1345 | varlist = vars() |
---|
[876] | 1346 | s = scantable(self._math._freqswitch(self)) |
---|
| 1347 | s._add_history("freq_switch",varlist) |
---|
| 1348 | print_log() |
---|
| 1349 | if insitu: self._assign(s) |
---|
| 1350 | else: return s |
---|
[718] | 1351 | |
---|
[780] | 1352 | def recalc_azel(self): |
---|
| 1353 | """ |
---|
| 1354 | Recalculate the azimuth and elevation for each position. |
---|
| 1355 | Parameters: |
---|
| 1356 | none |
---|
| 1357 | Example: |
---|
| 1358 | """ |
---|
| 1359 | varlist = vars() |
---|
[876] | 1360 | self._recalcazel() |
---|
[780] | 1361 | self._add_history("recalc_azel", varlist) |
---|
| 1362 | print_log() |
---|
| 1363 | return |
---|
| 1364 | |
---|
[513] | 1365 | def __add__(self, other): |
---|
| 1366 | varlist = vars() |
---|
| 1367 | s = None |
---|
| 1368 | if isinstance(other, scantable): |
---|
[876] | 1369 | print "scantable + scantable NYI" |
---|
| 1370 | return |
---|
[513] | 1371 | elif isinstance(other, float): |
---|
[876] | 1372 | s = scantable(self._math._unaryop(self, other, "ADD", False)) |
---|
[513] | 1373 | else: |
---|
[718] | 1374 | raise TypeError("Other input is not a scantable or float value") |
---|
[513] | 1375 | s._add_history("operator +", varlist) |
---|
[718] | 1376 | print_log() |
---|
[513] | 1377 | return s |
---|
| 1378 | |
---|
| 1379 | def __sub__(self, other): |
---|
| 1380 | """ |
---|
| 1381 | implicit on all axes and on Tsys |
---|
| 1382 | """ |
---|
| 1383 | varlist = vars() |
---|
| 1384 | s = None |
---|
| 1385 | if isinstance(other, scantable): |
---|
[876] | 1386 | print "scantable - scantable NYI" |
---|
| 1387 | return |
---|
[513] | 1388 | elif isinstance(other, float): |
---|
[876] | 1389 | s = scantable(self._math._unaryop(self, other, "SUB", False)) |
---|
[513] | 1390 | else: |
---|
[718] | 1391 | raise TypeError("Other input is not a scantable or float value") |
---|
[513] | 1392 | s._add_history("operator -", varlist) |
---|
[718] | 1393 | print_log() |
---|
[513] | 1394 | return s |
---|
[710] | 1395 | |
---|
[513] | 1396 | def __mul__(self, other): |
---|
| 1397 | """ |
---|
| 1398 | implicit on all axes and on Tsys |
---|
| 1399 | """ |
---|
| 1400 | varlist = vars() |
---|
| 1401 | s = None |
---|
| 1402 | if isinstance(other, scantable): |
---|
[876] | 1403 | print "scantable * scantable NYI" |
---|
| 1404 | return |
---|
[513] | 1405 | elif isinstance(other, float): |
---|
[876] | 1406 | s = scantable(self._math._unaryop(self, other, "MUL", False)) |
---|
[513] | 1407 | else: |
---|
[718] | 1408 | raise TypeError("Other input is not a scantable or float value") |
---|
[513] | 1409 | s._add_history("operator *", varlist) |
---|
[718] | 1410 | print_log() |
---|
[513] | 1411 | return s |
---|
| 1412 | |
---|
[710] | 1413 | |
---|
[513] | 1414 | def __div__(self, other): |
---|
| 1415 | """ |
---|
| 1416 | implicit on all axes and on Tsys |
---|
| 1417 | """ |
---|
| 1418 | varlist = vars() |
---|
| 1419 | s = None |
---|
| 1420 | if isinstance(other, scantable): |
---|
[876] | 1421 | print "scantable / scantable NYI" |
---|
| 1422 | return |
---|
[513] | 1423 | elif isinstance(other, float): |
---|
| 1424 | if other == 0.0: |
---|
[718] | 1425 | raise ZeroDivisionError("Dividing by zero is not recommended") |
---|
[876] | 1426 | s = scantable(self._math._unaryop(self, other, "DIV", False)) |
---|
[513] | 1427 | else: |
---|
[718] | 1428 | raise TypeError("Other input is not a scantable or float value") |
---|
[513] | 1429 | s._add_history("operator /", varlist) |
---|
[718] | 1430 | print_log() |
---|
[513] | 1431 | return s |
---|
| 1432 | |
---|
[530] | 1433 | def get_fit(self, row=0): |
---|
| 1434 | """ |
---|
| 1435 | Print or return the stored fits for a row in the scantable |
---|
| 1436 | Parameters: |
---|
| 1437 | row: the row which the fit has been applied to. |
---|
| 1438 | """ |
---|
| 1439 | if row > self.nrow(): |
---|
| 1440 | return |
---|
[976] | 1441 | from asap.asapfit import asapfit |
---|
[530] | 1442 | fit = asapfit(self._getfit(row)) |
---|
[718] | 1443 | if rcParams['verbose']: |
---|
[530] | 1444 | print fit |
---|
| 1445 | return |
---|
| 1446 | else: |
---|
| 1447 | return fit.as_dict() |
---|
| 1448 | |
---|
[484] | 1449 | def _add_history(self, funcname, parameters): |
---|
| 1450 | # create date |
---|
| 1451 | sep = "##" |
---|
| 1452 | from datetime import datetime |
---|
| 1453 | dstr = datetime.now().strftime('%Y/%m/%d %H:%M:%S') |
---|
| 1454 | hist = dstr+sep |
---|
| 1455 | hist += funcname+sep#cdate+sep |
---|
| 1456 | if parameters.has_key('self'): del parameters['self'] |
---|
| 1457 | for k,v in parameters.iteritems(): |
---|
| 1458 | if type(v) is dict: |
---|
| 1459 | for k2,v2 in v.iteritems(): |
---|
| 1460 | hist += k2 |
---|
| 1461 | hist += "=" |
---|
| 1462 | if isinstance(v2,scantable): |
---|
| 1463 | hist += 'scantable' |
---|
| 1464 | elif k2 == 'mask': |
---|
[513] | 1465 | if isinstance(v2,list) or isinstance(v2,tuple): |
---|
| 1466 | hist += str(self._zip_mask(v2)) |
---|
| 1467 | else: |
---|
| 1468 | hist += str(v2) |
---|
[484] | 1469 | else: |
---|
[513] | 1470 | hist += str(v2) |
---|
[484] | 1471 | else: |
---|
| 1472 | hist += k |
---|
| 1473 | hist += "=" |
---|
| 1474 | if isinstance(v,scantable): |
---|
| 1475 | hist += 'scantable' |
---|
| 1476 | elif k == 'mask': |
---|
[513] | 1477 | if isinstance(v,list) or isinstance(v,tuple): |
---|
| 1478 | hist += str(self._zip_mask(v)) |
---|
| 1479 | else: |
---|
| 1480 | hist += str(v) |
---|
[484] | 1481 | else: |
---|
| 1482 | hist += str(v) |
---|
| 1483 | hist += sep |
---|
| 1484 | hist = hist[:-2] # remove trailing '##' |
---|
| 1485 | self._addhistory(hist) |
---|
| 1486 | |
---|
[710] | 1487 | |
---|
[484] | 1488 | def _zip_mask(self, mask): |
---|
| 1489 | mask = list(mask) |
---|
| 1490 | i = 0 |
---|
| 1491 | segments = [] |
---|
| 1492 | while mask[i:].count(1): |
---|
| 1493 | i += mask[i:].index(1) |
---|
| 1494 | if mask[i:].count(0): |
---|
| 1495 | j = i + mask[i:].index(0) |
---|
| 1496 | else: |
---|
[710] | 1497 | j = len(mask) |
---|
[484] | 1498 | segments.append([i,j]) |
---|
[710] | 1499 | i = j |
---|
[484] | 1500 | return segments |
---|
[714] | 1501 | |
---|
[626] | 1502 | def _get_ordinate_label(self): |
---|
| 1503 | fu = "("+self.get_fluxunit()+")" |
---|
| 1504 | import re |
---|
| 1505 | lbl = "Intensity" |
---|
| 1506 | if re.match(".K.",fu): |
---|
| 1507 | lbl = "Brightness Temperature "+ fu |
---|
| 1508 | elif re.match(".Jy.",fu): |
---|
| 1509 | lbl = "Flux density "+ fu |
---|
| 1510 | return lbl |
---|
[710] | 1511 | |
---|
[876] | 1512 | def _check_ifs(self): |
---|
| 1513 | nchans = [self.nchan(i) for i in range(self.nif(-1))] |
---|
[889] | 1514 | nchans = filter(lambda t: t > 0, nchans) |
---|
[876] | 1515 | return (sum(nchans)/len(nchans) == nchans[0]) |
---|
[976] | 1516 | |
---|
| 1517 | def _fill(self, names, unit, average): |
---|
| 1518 | import os |
---|
| 1519 | varlist = vars() |
---|
| 1520 | from asap._asap import stfiller |
---|
| 1521 | first = True |
---|
| 1522 | fullnames = [] |
---|
| 1523 | for name in names: |
---|
| 1524 | name = os.path.expandvars(name) |
---|
| 1525 | name = os.path.expanduser(name) |
---|
| 1526 | if not os.path.exists(name): |
---|
| 1527 | msg = "File '%s' does not exists" % (name) |
---|
| 1528 | if rcParams['verbose']: |
---|
| 1529 | asaplog.push(msg) |
---|
| 1530 | print asaplog.pop().strip() |
---|
| 1531 | return |
---|
| 1532 | raise IOError(msg) |
---|
| 1533 | fullnames.append(name) |
---|
| 1534 | if average: |
---|
| 1535 | asaplog.push('Auto averaging integrations') |
---|
[1079] | 1536 | stype = int(rcParams['scantable.storage'].lower() == 'disk') |
---|
[976] | 1537 | for name in fullnames: |
---|
[1073] | 1538 | tbl = Scantable(stype) |
---|
| 1539 | r = stfiller(tbl) |
---|
[976] | 1540 | msg = "Importing %s..." % (name) |
---|
| 1541 | asaplog.push(msg,False) |
---|
| 1542 | print_log() |
---|
| 1543 | r._open(name,-1,-1) |
---|
| 1544 | r._read() |
---|
[1073] | 1545 | #tbl = r._getdata() |
---|
[976] | 1546 | if average: |
---|
[981] | 1547 | tbl = self._math._average((tbl,),(),'NONE','SCAN') |
---|
[976] | 1548 | #tbl = tbl2 |
---|
| 1549 | if not first: |
---|
| 1550 | tbl = self._math._merge([self, tbl]) |
---|
| 1551 | #tbl = tbl2 |
---|
| 1552 | Scantable.__init__(self, tbl) |
---|
| 1553 | r._close() |
---|
| 1554 | del r,tbl |
---|
| 1555 | first = False |
---|
| 1556 | if unit is not None: |
---|
| 1557 | self.set_fluxunit(unit) |
---|
| 1558 | self.set_freqframe(rcParams['scantable.freqframe']) |
---|
| 1559 | #self._add_history("scantable", varlist) |
---|
| 1560 | |
---|