experimentalFunctions.jy

# demo how a Autoplot Jython could be created.  This can be imported with 
#
# ff= getFile( 'https://github.com/jbfaden/scripts/experimentalFunctions.jy',monitor.getSubtaskMonitor('import'))
# execfile( ff.toString() )
#

def pprint( blah, name='' ):
    '''report the variable looking up its name and printing its value.  This will print the first instance it finds'''
    if ( name=='' ):
       blah_name = [ k for k,v in globals().iteritems() if v is blah]
       if ( len( blah_name ) == 0 ):
           print '<expr>: ', blah
       elif ( len( blah_name ) > 1 ):
           for b in blah_name:
              print b, ': ', blah, ' (multiple names have this value)'
       else:
           print blah_name[0], ': ', blah
    else:
       blah_name = name
       print name, ': ', blah

def synchronize( t, *args, **kwargs ):
    '''Synchronize the data to timetags t.
    Params:
    * t  the target timetags
    * d1..d3  the datasets to synchronize
    * nn=0    if 1, then do nearest neighbor synchronization, instead of interpolation. 
    Returns:
    ( d1..d3 ) list of synchronized data sets
    '''
    result= []
    for ds in args:
       t1= ds.property( QDataSet.DEPEND_0 )
       findx= findex( t1, t )
       nn= kwargs['nn']
       if ( nn==None ): nn=0
       if ( nn==1 ):
           findx= round( findx )
       rs= interpolate( ds, findx )
       result.append(rs)
    return result