Problem with python code

Question

Can someone look at this script and see what the problem is? It used to work with arcgis 10.3 but now I can't get it to work with 10.4 on a different computer.

import arcpy
mxd = arcpy.mapping.MapDocument(r"C:\GIS\Data and Maps2014円MDCExport_CountyWide_localData.mxd")
df = arcpy.mapping.ListDataFrames(mxd, "Layers")[0]
lyr = arcpy.mapping.ListLayers(mxd, "Grid")[0] ##shapefile layer name called grid
rows = arcpy.SearchCursor(lyr)
x=1
for row in rows:
 df.extent = row.Shape.extent
 arcpy.mapping.ExportToJPEG(mxd, r"C:\GIS\OC Sheriffs\Image\L2\ " + str(row.getValue("PageName")) + ".jpg", df, df_export_width = 1200, df_export_height = 1200, resolution = 96, world_file=True, jpeg_quality = 100)
 print x
 x+=1
del mxd

Error:

Runtime error 
Traceback (most recent call last):
 File "<string>", line 9, in <module>
 File "c:\program files (x86)\arcgis\desktop10.4\arcpy\arcpy\utils.py", line 182, in fn_
 return fn(*args, **kw)
 File "c:\program files (x86)\arcgis\desktop10.4\arcpy\arcpy\mapping.py", line 1026, in ExportToJPEG
 layout.exportToJPEG(*args)
AttributeError: DataFrameObject: Error in executing ExportToJPEG

• Mintx: C:\GIS\Data and Maps2014円MDCExport_CountyWide_localData.mxd Is the path to your data correct? Can this other computer access the MXD?

Answer 1

This error message occurs when your output folder doesn't exist. Check that C:\GIS\OC Sheriffs\Image\L2 exists on the different computer you are now running the script on. You can use os.path.isdir() to test whether a folder exists.

outputFolder = r"C:\GIS\OC Sheriffs\Image\L2" # Your Output folder path to store the exported JPG files
# Check that the path exists
if os.path.isdir(outputFolder):
 ## the rest of your code goes here
else:
 print "The folder doesn't exist!"

Since you're running ArcGIS 10.4 I would migrate the script from the old arcpy.SearchCursor() to the more efficient arcpy.da.SearchCursor()

import arcpy, os
mxd = arcpy.mapping.MapDocument(r"C:\GIS\Data and Maps2014円MDCExport_CountyWide_localData.mxd")
df = arcpy.mapping.ListDataFrames(mxd, "Layers")[0]
lyr = arcpy.mapping.ListLayers(mxd, "Grid")[0] 
outputFolder = r"C:\GIS\OC Sheriffs\Image\L2" # Your Output folder path to store the exported JPG files
# Check that the path exists
if os.path.isdir(outputFolder):
 with arcpy.da.SearchCursor(lyr, ['PageName', 'SHAPE@']) as cursor:
 for row in cursor:
 df.extent = row[1].extent
 outputFilePath = r"{}\{}.jpg".format(outputFolder, row[0])
 arcpy.mapping.ExportToJPEG(mxd, outputFilePath, df, df_export_width = 1200, df_export_height = 1200, resolution = 96, world_file=True, jpeg_quality = 100)
else:
 print "Folder {} doesn't exist!".format(outputFolder)

---

Have updated the script to add a extent buffer to add a bit of space around the current feature. This increases the extent scale by a specified percentage, then rounds that scale up to the next value that matches specified rounding factor (explained below the script)

import arcpy, os
def update_scale(df, extraScalePct, scaleRound):
 exScale = df.scale # Current scale
 newScale = exScale + (exScale * (float(1)/(float(100)/extraScalePct))) # Increase DF scale by specified amount
 roundScale = (newScale + (scaleRound -1)) // scaleRound * scaleRound # Round the new scale up to the next value as specified
 return roundScale
mxd = arcpy.mapping.MapDocument(r"C:\GIS\Data and Maps2014円MDCExport_CountyWide_localData.mxd")
df = arcpy.mapping.ListDataFrames(mxd)[0]
lyr = arcpy.mapping.ListLayers(mxd, "Lines")[0] ##shapefile layer name called grid
outputFolder = r"C:\GIS\OC Sheriffs\Image\L2" # Your Output folder path to store the exported JPG files
if os.path.isdir(outputFolder):
 with arcpy.da.SearchCursor(lyr, ['PageName', 'SHAPE@']) as cursor:
 for row in cursor:
 print row[0]
 df.extent = row[1].extent
 df.scale = update_scale(df, 10, 250) # Increase scale by 10% then round up to next 250
 outputFilePath = r"{}\{}.jpg".format(outputFolder, row[0])
 arcpy.mapping.ExportToJPEG(mxd, outputFilePath, df, df_export_width = 1200, df_export_height = 1200, resolution = 96, world_file=True, jpeg_quality = 100)
else:
 print "Folder {} doesn't exist!".format(outputFolder)

To set the extent buffer and the rounding, modify the line df.scale = update_scale(df, 10, 250). df is your dataframe, 10 is the percentage to increase the scale (e.g. 1:250 becomes 1:275), 250 is the rounding factor that the new scale is rounded up to (e.g. 1:275 becomes 1:500). Modify these two values to suit.

• Mark: Also, I wanted to export a small amount of data around the polygon. Right now it cuts the data right to the polygon. Is there a way to do this?
• Midavalo: @Mark I have added some code that will allow you to add extra space after zooming to each feature.