Concerning "Error when using r.series in a python script"

Question

Based on the "Error when using r.series in a python script" discussion (Error when using r.series in a python script) and based upon the solution given by Joseph I tried to make the same but by using a loades set of rasters and saving the result as temporary file. I made the following script but it doesn't work to me. Any Idea to fix it?

##RasterMaxFinder=name
##1=multiple raster
##maximum=output raster
import glob, os, processing
from PyQt4.QtCore import QFileInfo
from qgis.core import QgsRasterLayer, QgsRectangle
raster = processing.getObject(1)
list = []
extent = QgsRectangle()
extent.setMinimal()
for raster in 1:
 fileInfo = QFileInfo(raster)
 baseName = fileInfo.baseName()
 rlayer = QgsRasterLayer(raster, baseName)
 # Combine raster layers to list
 list.append(rlayer)
 # Combine raster extents
 extent.combineExtentWith(rlayer.extent())
# Get extent 
xmin = extent.xMinimum()
xmax = extent.xMaximum()
ymin = extent.yMinimum()
ymax = extent.yMaximum()
# Run algorithm
processing.runalg('grass:r.series', list ,False,6,'-10000000000,10000000000',"%f,%f,%f,%f"% (xmin, xmax, ymin, ymax),0.0, maximum) 

• Joseph: What happens when you run the script? Do you receive no output, errors?
• Nico_77: I get the following message: 'int' object has no attribute 'replace'

Answer 1

You should use strings for naming objects instead of integers as this could cause confusion. The following script runs for me which use the following line to split the multiple input rasters:

layers = input.split(';')

---

##Example=name
##input=multiple raster
##maximum=output raster
import glob, os, processing
from PyQt4.QtCore import QFileInfo
from qgis.core import QgsRasterLayer, QgsRectangle
layers = input.split(';')
list = []
extent = QgsRectangle()
extent.setMinimal()
for raster in layers:
 fileInfo = QFileInfo(raster)
 baseName = fileInfo.baseName()
 rlayer = QgsRasterLayer(raster, baseName)
 # Combine raster layers to list
 list.append(rlayer)
 # Combine raster extents
 extent.combineExtentWith(rlayer.extent()) 
# Get extent 
xmin = extent.xMinimum()
xmax = extent.xMaximum()
ymin = extent.yMinimum()
ymax = extent.yMaximum()
# Run algorithm
processing.runalg('grass:r.series', list ,False,6,'-10000000000,10000000000',"%f,%f,%f,%f"% (xmin, xmax, ymin, ymax),0.0, maximum)

• Nico_77: YES! Indeed, it works that way!
• Joseph: @Nico_77 - Awesome, glad it works :)