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DAMASK_EICMD
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added option to invert output data range (1.0 -- 0.0 instead of 0.0 -- 1.0)

This commit is contained in:
Philip Eisenlohr 2013-12-10 00:27:22 +00:00
parent 0e8fdaf59e
commit 44b3687e7c
1 changed files with 10 additions and 6 deletions
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16
processing/post/binXY.py
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@ -33,18 +33,20 @@ Produces a binned grid of two columns from an ASCIItable, i.e. a two-dimensional
)
parser.add_option('-d','--data', dest='data', nargs=2, type='int', \
parser.add_option('-d','--data', dest='data', nargs=2, type='int',
help='columns containing x and y')
parser.add_option('-b','--bins', dest='bins', nargs=2, type='int', \
parser.add_option('-b','--bins', dest='bins', nargs=2, type='int',
help='number of bins in x and y direction')
parser.add_option('-t','--type', dest='type', nargs=3, type='string', \
parser.add_option('-t','--type', dest='type', nargs=3, type='string',
help='type of x, y, and z axis [linear]')
parser.add_option('-x','--xrange', dest='xrange', nargs=2, type='float', \
parser.add_option('-x','--xrange', dest='xrange', nargs=2, type='float',
help='value range in x direction [auto]')
parser.add_option('-y','--yrange', dest='yrange', nargs=2, type='float', \
parser.add_option('-y','--yrange', dest='yrange', nargs=2, type='float',
help='value range in y direction [auto]')
parser.add_option('-z','--zrange', dest='zrange', nargs=2, type='float', \
parser.add_option('-z','--zrange', dest='zrange', nargs=2, type='float',
help='value range in z direction [auto]')
parser.add_option('-i','--invert', dest='invert', action='store_true',
help='invert probability density')
parser.set_defaults(data = [1,2])
parser.set_defaults(bins = [10,10])
@ -52,6 +54,7 @@ parser.set_defaults(type = ['linear','linear','linear'])
parser.set_defaults(xrange = [0.0,0.0])
parser.set_defaults(yrange = [0.0,0.0])
parser.set_defaults(zrange = [0.0,0.0])
parser.set_defaults(invert = False)
(options,filenames) = parser.parse_args()
@ -109,6 +112,7 @@ for file in files:
min(1.0,max(0.0,(grid[x,y]-range[2,0])/delta[2]))]
if options.type[0].lower() == 'log': result[i,0] = numpy.exp(result[i,0])
if options.type[1].lower() == 'log': result[i,1] = numpy.exp(result[i,1])
if options.invert: result[i,2] = 1.0-result[i,2]
i += 1
file['output'].write('1\thead\n')