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