Changeset 2094 for trunk/python


Ignore:
Timestamp:
04/01/11 21:36:20 (14 years ago)
Author:
WataruKawasaki
Message:

New Development: No

JIRA Issue: No

Ready for Test: Yes

Interface Changes: No

What Interface Changed:

Test Programs:

Put in Release Notes: No

Module(s): Scantable

Description: minor bugfix/cleanup.


File:
1 edited

Legend:

Unmodified
Added
Removed

  • trunk/python/scantable.py

    r2081 r2094  
    20732073                          clipthresh=None, clipniter=None, plot=None, getresidual=None, outlog=None, blfile=None):
    20742074        """\
    2075         Return a scan which has been baselined (all rows) by sinusoidal functions.
     2075        Return a scan which has been baselined (all rows) with sinusoidal functions.
    20762076        Parameters:
    20772077            insitu:        If False a new scantable is returned.
    … …  
    21662166                               chan_avg_limit=None, plot=None, getresidual=None, outlog=None, blfile=None):
    21672167        """\
    2168         Return a scan which has been baselined (all rows) by cubic spline
    2169         function (piecewise cubic polynomial).
     2168        Return a scan which has been baselined (all rows) with sinusoidal functions.
    21702169        Spectral lines are detected first using linefinder and masked out
    21712170        to avoid them affecting the baseline solution.
    … …  
    23092308
    23102309    @asaplog_post_dec
    2311     def cspline_baseline(self, insitu=None, mask=None, npiece=None, clipthresh=None, clipniter=None, plot=None, outlog=None, blfile=None):
     2310    def cspline_baseline(self, insitu=None, mask=None, npiece=None,
     2311                         clipthresh=None, clipniter=None, plot=None, getresidual=None, outlog=None, blfile=None):
    23122312        """\
    23132313        Return a scan which has been baselined (all rows) by cubic spline function (piecewise cubic polynomial).
    … …  
    23242324                        indivual fit has to be approved, by typing 'y'
    23252325                        or 'n'
     2326            getresidual:if False, returns best-fit values instead of
     2327                        residual. (default is True)
    23262328            outlog:     Output the coefficients of the best-fit
    23272329                        function to logger (default is False)
    … …  
    23502352        nchan = workscan.nchan()
    23512353       
    2352         if mask is None: mask = [True for i in xrange(nchan)]
    2353         if npiece is None: npiece = 2
    2354         if clipthresh is None: clipthresh = 3.0
    2355         if clipniter is None: clipniter = 1
    2356         if plot is None: plot = False
    2357         if outlog is None: outlog = False
    2358         if blfile is None: blfile = ""
     2354        if mask        is None: mask        = [True for i in xrange(nchan)]
     2355        if npiece      is None: npiece      = 2
     2356        if clipthresh  is None: clipthresh  = 3.0
     2357        if clipniter   is None: clipniter   = 1
     2358        if plot        is None: plot        = False
     2359        if getresidual is None: getresidual = True
     2360        if outlog      is None: outlog      = False
     2361        if blfile      is None: blfile      = ""
    23592362
    23602363        outblfile = (blfile != "") and os.path.exists(os.path.expanduser(os.path.expandvars(blfile)))
    … …  
    23622365        try:
    23632366            #CURRENTLY, PLOT=true UNAVAILABLE UNTIL cubic spline fitting is implemented as a fitter method.
    2364             workscan._cspline_baseline(mask, npiece, clipthresh, clipniter, outlog, blfile)
     2367            workscan._cspline_baseline(mask, npiece, clipthresh, clipniter, getresidual, outlog, blfile)
    23652368           
    23662369            workscan._add_history("cspline_baseline", varlist)
    … …  
    23832386    def auto_cspline_baseline(self, insitu=None, mask=None, npiece=None, clipthresh=None,
    23842387                              clipniter=None, edge=None, threshold=None,
    2385                               chan_avg_limit=None, plot=None, outlog=None, blfile=None):
     2388                              chan_avg_limit=None, getresidual=None, plot=None, outlog=None, blfile=None):
    23862389        """\
    23872390        Return a scan which has been baselined (all rows) by cubic spline
    … …  
    24232426                        indivual fit has to be approved, by typing 'y'
    24242427                        or 'n'
     2428            getresidual:if False, returns best-fit values instead of
     2429                        residual. (default is True)
    24252430            outlog:     Output the coefficients of the best-fit
    24262431                        function to logger (default is False)
    … …  
    24472452        nchan = workscan.nchan()
    24482453       
    2449         if mask is None: mask = [True for i in xrange(nchan)]
    2450         if npiece is None: npiece = 2
    2451         if clipthresh is None: clipthresh = 3.0
    2452         if clipniter is None: clipniter = 1
    2453         if edge is None: edge = (0, 0)
    2454         if threshold is None: threshold = 3
     2454        if mask           is None: mask          = [True for i in xrange(nchan)]
     2455        if npiece         is None: npiece        = 2
     2456        if clipthresh     is None: clipthresh    = 3.0
     2457        if clipniter      is None: clipniter      = 1
     2458        if edge           is None: edge          = (0, 0)
     2459        if threshold      is None: threshold      = 3
    24552460        if chan_avg_limit is None: chan_avg_limit = 1
    2456         if plot is None: plot = False
    2457         if outlog is None: outlog = False
    2458         if blfile is None: blfile = ""
     2461        if plot           is None: plot           = False
     2462        if getresidual    is None: getresidual    = True
     2463        if outlog         is None: outlog         = False
     2464        if blfile         is None: blfile         = ""
    24592465
    24602466        outblfile = (blfile != "") and os.path.exists(os.path.expanduser(os.path.expandvars(blfile)))
    … …  
    24912497                    curedge += edge[i]
    24922498               
    2493             workscan._auto_cspline_baseline(mask, npiece, clipthresh, clipniter, curedge, threshold, chan_avg_limit, outlog, blfile)
     2499            workscan._auto_cspline_baseline(mask, npiece, clipthresh, clipniter, curedge, threshold, chan_avg_limit, getresidual, outlog, blfile)
    24942500
    24952501            workscan._add_history("auto_cspline_baseline", varlist)
    … …  
    25112517
    25122518    @asaplog_post_dec
    2513     def poly_baseline(self, insitu=None, mask=None, order=None, plot=None, outlog=None, blfile=None):
     2519    def poly_baseline(self, insitu=None, mask=None, order=None, plot=None, getresidual=None, outlog=None, blfile=None):
    25142520        """\
    25152521        Return a scan which has been baselined (all rows) by a polynomial.
    … …  
    25232529                        indivual fit has to be approved, by typing 'y'
    25242530                        or 'n'
     2531            getresidual:if False, returns best-fit values instead of
     2532                        residual. (default is True)
    25252533            outlog:     Output the coefficients of the best-fit
    25262534                        function to logger (default is False)
    … …  
    25452553        nchan = workscan.nchan()
    25462554       
    2547         if mask is None: mask = [True for i in xrange(nchan)]
    2548         if order is None: order = 0
    2549         if plot is None: plot = False
    2550         if outlog is None: outlog = False
    2551         if blfile is None: blfile = ""
     2555        if mask        is None: mask        = [True for i in xrange(nchan)]
     2556        if order       is None: order       = 0
     2557        if plot        is None: plot        = False
     2558        if getresidual is None: getresidual = True
     2559        if outlog      is None: outlog      = False
     2560        if blfile      is None: blfile      = ""
    25522561
    25532562        outblfile = (blfile != "") and os.path.exists(os.path.expanduser(os.path.expandvars(blfile)))
    … …  
    25792588                    masklist = workscan.get_masklist(f.mask, row=r, silent=True)
    25802589                    #workscan._append_blinfo(blpars, masklist, f.mask)
    2581                     workscan._setspectrum(f.fitter.getresidual(), r)
     2590                    workscan._setspectrum((f.fitter.getresidual() if getresidual else f.fitter.getfit()), r)
    25822591                   
    25832592                    if outblfile:
    … …  
    25912600                if outblfile: blf.close()
    25922601            else:
    2593                 workscan._poly_baseline(mask, order, outlog, blfile)
     2602                workscan._poly_baseline(mask, order, getresidual, outlog, blfile)
    25942603           
    25952604            workscan._add_history("poly_baseline", varlist)
    … …  
    26112620
    26122621    def auto_poly_baseline(self, insitu=None, mask=None, order=None, edge=None, threshold=None,
    2613                            chan_avg_limit=None, plot=None, outlog=None, blfile=None):
     2622                           chan_avg_limit=None, plot=None, getresidual=None, outlog=None, blfile=None):
    26142623        """\
    26152624        Return a scan which has been baselined (all rows) by a polynomial.
    … …  
    26472656                        indivual fit has to be approved, by typing 'y'
    26482657                        or 'n'
     2658            getresidual:if False, returns best-fit values instead of
     2659                        residual. (default is True)
    26492660            outlog:     Output the coefficients of the best-fit
    26502661                        function to logger (default is False)
    … …  
    26672678        nchan = workscan.nchan()
    26682679       
    2669         if mask is None: mask = [True for i in xrange(nchan)]
    2670         if order is None: order = 0
    2671         if edge is None: edge = (0, 0)
    2672         if threshold is None: threshold = 3
     2680        if mask           is None: mask          = [True for i in xrange(nchan)]
     2681        if order          is None: order          = 0
     2682        if edge           is None: edge          = (0, 0)
     2683        if threshold      is None: threshold      = 3
    26732684        if chan_avg_limit is None: chan_avg_limit = 1
    2674         if plot is None: plot = False
    2675         if outlog is None: outlog = False
    2676         if blfile is None: blfile = ""
     2685        if plot           is None: plot           = False
     2686        if getresidual    is None: getresidual    = True
     2687        if outlog         is None: outlog         = False
     2688        if blfile         is None: blfile         = ""
    26772689
    26782690        outblfile = (blfile != "") and os.path.exists(os.path.expanduser(os.path.expandvars(blfile)))
    … …  
    27412753                    masklist = workscan.get_masklist(f.mask, row=r, silent=True)
    27422754                    #workscan._append_blinfo(blpars, masklist, f.mask)
    2743                     workscan._setspectrum(f.fitter.getresidual(), r)
     2755                    workscan._setspectrum((f.fitter.getresidual() if getresidual else f.fitter.getfit()), r)
    27442756
    27452757                    if outblfile:
    … …  
    27592771                        curedge += edge[i]
    27602772               
    2761                 workscan._auto_poly_baseline(mask, order, curedge, threshold, chan_avg_limit, outlog, blfile)
     2773                workscan._auto_poly_baseline(mask, order, curedge, threshold, chan_avg_limit, getresidual, outlog, blfile)
    27622774
    27632775            workscan._add_history("auto_poly_baseline", varlist)
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