diff --git a/processing/post/binXY.py b/processing/post/binXY.py index 2eb6be354..7cfdb7f67 100755 --- a/processing/post/binXY.py +++ b/processing/post/binXY.py @@ -19,28 +19,25 @@ Produces a binned grid of two columns from an ASCIItable, i.e. a two-dimensional """, version = scriptID) parser.add_option('-d','--data', dest='data', nargs=2, type='string', metavar='string string', - help='column labels containing x and y [%default]') + help='column labels containing x and y ') parser.add_option('-w','--weight', dest='weight', metavar='string', type='string', - help='column label containing weight of (x,y) point [%default]') + help='column label containing weight of (x,y) point') parser.add_option('-b','--bins', dest='bins', nargs=2, type='int', metavar='int int', - help='number of bins in x and y direction %default') + help='number of bins in x and y direction [%default]') parser.add_option('-t','--type', dest='type', nargs=3, metavar='string string string', - help='type (linear/log) of x, y, and z axis [linear]') + help='type (linear/log) of x, y, and z axis [%default]') parser.add_option('-x','--xrange', dest='xrange', nargs=2, type='float', metavar='float float', - help='value minmax in x direction [auto]') + help='min max value in x direction [autodetect]') parser.add_option('-y','--yrange', dest='yrange', nargs=2, type='float', metavar='float float', - help='value minmax in y direction [auto]') + help='min max value in y direction [autodetect]') parser.add_option('-z','--zrange', dest='zrange', nargs=2, type='float', metavar='float float', - help='value minmax in z direction [auto]') + help='min max value in z direction [autodetect]') parser.add_option('-i','--invert', dest='invert', action='store_true', - help='invert probability density [%default]') + help='invert probability density [%default]') parser.add_option('-r','--rownormalize', dest='normRow', action='store_true', - help='normalize probability density in each row [%default]') + help='normalize probability density in each row [%default]') parser.add_option('-c','--colnormalize', dest='normCol', action='store_true', - help='normalize probability density in each column [%default]') - -parser.set_defaults(data = None) -parser.set_defaults(weight = None) + help='normalize probability density in each column [%default]') parser.set_defaults(bins = (10,10)) parser.set_defaults(type = ('linear','linear','linear')) parser.set_defaults(xrange = (0.0,0.0))