Pans and zooms each data frame in an ArcMap document to the extent and scale of the data frame containing the data driven pages index layer before exporting.

panZoomDataFramesToDDPDataFrame.py

#
# @date 25/08/2015
# @author Cindy Williams
#
# Pans and zooms each data frame in an ArcMap document 
# to the extent and scale of the data frame containing 
# the data driven pages index layer before exporting.
#
# For use as a standalone script.
#

import arcpy
import os

map_doc = r"" # Your mxd here
mxd = arcpy.mapping.MapDocument(map_doc)
out_folder = r"" # Your folder here

if mxd.isDDPenabled: # Check if data driven pages are enabled in the map
    ddp = mxd.dataDrivenPages
    ddp_df = ddp.dataFrame # Get the data frame containing the data driven pages index layer
    
    # Get all data frames besides the one containing the index layer
    dfs = [df for df in arcpy.mapping.ListDataFrames(mxd) if not df.name == ddp_df.name]
    
    # Loop over the data driven pages
    for i in range(1, ddp.pageCount + 1):
        ddp.currentPageID = i
        cur_ddp = ddp.pageRow.getValue(ddp_name)
        ddp_jpeg = os.path.join(out_folder, str(cur_ddp) + ".jpg")
        for df in dfs:
            df.extent = ddp_df.extent
            df.scale = ddp_df.scale
        arcpy.mapping.ExportToJPEG(mxd, ddp_jpeg, resolution=200)
        print("Exported " + ddp_jpeg)
else:
    print("Please enable Data Driven Pages before continuing.")