e2ecdcfe33
Former-commit-id:a02aeb236c[formerly9f19e3f712] [formerlya02aeb236c[formerly9f19e3f712] [formerly06a8b51d6d[formerly 64fa9254b946eae7e61bbc3f513b7c3696c4f54f]]] Former-commit-id:06a8b51d6dFormer-commit-id:8e80217e59[formerly3360eb6c5f] Former-commit-id:377dcd10b9
80 lines
2.5 KiB
Python
80 lines
2.5 KiB
Python
##
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# This software was developed and / or modified by Raytheon Company,
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# pursuant to Contract DG133W-05-CQ-1067 with the US Government.
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#
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# U.S. EXPORT CONTROLLED TECHNICAL DATA
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# This software product contains export-restricted data whose
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# export/transfer/disclosure is restricted by U.S. law. Dissemination
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# to non-U.S. persons whether in the United States or abroad requires
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# an export license or other authorization.
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#
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# Contractor Name: Raytheon Company
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# Contractor Address: 6825 Pine Street, Suite 340
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# Mail Stop B8
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# Omaha, NE 68106
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# 402.291.0100
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#
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# See the AWIPS II Master Rights File ("Master Rights File.pdf") for
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# further licensing information.
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##
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import numpy
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def execute(MIXLY):
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#conversions used in awips1
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#first transform data to pixel values in the colormap
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#data 0-13 gets modified by y=112x/13 + 16
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#the result is position in the colormap
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#mask values above 13
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result = numpy.ma.masked_greater(MIXLY, 13)
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#transform unmasked values
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result *= (112.0/13.0)
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result += 16
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#now convert into actual data values
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#modified by y=0.0914286x - 1.46286
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#result is the data value as calculated in awips1
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result *= 0.0914286
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result += -1.46286
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#remove mask
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result.mask = numpy.ma.nomask
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#data 13-127 mapped to colormap position by y=56x/57+6568/57
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#result is in range 128->240
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result = numpy.ma.masked_less(result, 13)
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result = numpy.ma.masked_greater(result, 127)
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result *= (56.0/57.0)
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result += (6568.0/57.0)
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#map into values by y=0.801429x - 92.3429
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result *= 0.801429
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result += -92.3429
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#remove mask
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result.mask = numpy.ma.nomask
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#data 128->255 mapped to colormap position by y=12x/127 + 29071/127
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#result is in range 241->253
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result = numpy.ma.masked_less(result, 128)
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result = numpy.ma.masked_greater(result, 255)
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result *= (12.0/127.0)
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result += (29071.0/127.0)
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#map into data range by y=0.801429x - 92.3429
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result *= 0.801429
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result += -92.3429
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result.mask = numpy.ma.nomask
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#fix any values that are very close to zero but negative
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result = numpy.ma.masked_greater(result, 0)
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result *= 0.0
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result.mask = numpy.ma.nomask
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return result
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def main():
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testin = numpy.array([[12.0,36,253,64,53,24,33],[253,254,112,29,42,1,55],[12,123,253,18,254,22,212]])
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testout = execute(testin)
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print(testout)
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if __name__ == "__main__":
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main()
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