def execute(self, args):
try:
dX = [ 1, 1, 1, 0, -1, -1, -1, 0 ]
dY = [ -1, 0, 1, 1, 1, 0, -1, -1 ]
if len(args) != 2:
pluginHost.showFeedback("Incorrect number of arguments given to tool.")
return
# read the input parameters
inputfile = args[0]
outputfile = args[1]
# read the input image
inputraster = WhiteboxRaster(inputfile, 'r')
nodata = inputraster.getNoDataValue()
rows = inputraster.getNumberRows()
cols = inputraster.getNumberColumns()
# initialize the output image
outputraster = WhiteboxRaster(outputfile, "rw", inputfile, DataType.FLOAT, nodata)
outputraster.setPreferredPalette(inputraster.getPreferredPalette())
'''perform the analysis
This code loops through a raster and performs a
3 x 3 mean filter.'''
oldprogress = -1
for row in xrange(0, rows):
for col in xrange(0, cols):
z = inputraster.getValue(row, col)
if z != nodata:
mean = z
numneighbours = 1
for n in xrange(0, 8):
zn = inputraster.getValue(row + dY[n], col + dX[n])
if zn != nodata:
mean += zn
numneighbours += 1
outputraster.setValue(row, col, mean / numneighbours)
progress = (int)(100.0 * row / (rows - 1))
if progress > oldprogress:
oldprogress = progress
pluginHost.updateProgress(progress)
if pluginHost.isRequestForOperationCancelSet():
pluginHost.showFeedback("Operation cancelled")
return
inputraster.close()
outputraster.addMetadataEntry("Created by the " + descriptiveName + " tool.")
outputraster.addMetadataEntry("Created on " + time.asctime())
outputraster.close()
# display the output image
pluginHost.returnData(outputfile)
except Exception, e:
print e
pluginHost.showFeedback("An error has occurred during operation. See log file for details.")
pluginHost.logException("Error in " + descriptiveName, e)
return
def execute(self, args):
try:
dX = [1, 1, 1, 0, -1, -1, -1, 0]
dY = [-1, 0, 1, 1, 1, 0, -1, -1]
if len(args) != 2:
pluginHost.showFeedback(
"Incorrect number of arguments given to tool.")
return
# read the input parameters
inputfile = args[0]
outputfile = args[1]
# read the input image
inputraster = WhiteboxRaster(inputfile, 'r')
nodata = inputraster.getNoDataValue()
rows = inputraster.getNumberRows()
cols = inputraster.getNumberColumns()
# initialize the output image
outputraster = WhiteboxRaster(outputfile, "rw", inputfile,
DataType.FLOAT, nodata)
outputraster.setPreferredPalette(inputraster.getPreferredPalette())
'''perform the analysis
This code loops through a raster and performs a
3 x 3 mean filter.'''
oldprogress = -1
for row in xrange(0, rows):
for col in xrange(0, cols):
z = inputraster.getValue(row, col)
if z != nodata:
mean = z
numneighbours = 1
for n in xrange(0, 8):
zn = inputraster.getValue(row + dY[n], col + dX[n])
if zn != nodata:
mean += zn
numneighbours += 1
outputraster.setValue(row, col, mean / numneighbours)
progress = (int)(100.0 * row / (rows - 1))
if progress > oldprogress:
oldprogress = progress
pluginHost.updateProgress(progress)
if pluginHost.isRequestForOperationCancelSet():
pluginHost.showFeedback("Operation cancelled")
return
inputraster.close()
outputraster.addMetadataEntry("Created by the " + descriptiveName +
" tool.")
outputraster.addMetadataEntry("Created on " + time.asctime())
outputraster.close()
# display the output image
pluginHost.returnData(outputfile)
except Exception, e:
print e
pluginHost.showFeedback(
"An error has occurred during operation. See log file for details."
)
pluginHost.logException("Error in " + descriptiveName, e)
return
