batchMapExport.py

import arcpy, os
from arcpy import env
from PIL import Image

# Move the shapefiles to a file geodatabase
# Set the workspace where we will find the shapefiles
env.workspace = "/target workspace containing the shapefiles/"
env.overwriteOutput = True

targetGDB = "/path to your file geodatabase/"

# Create a list object of the feature classes in the target folder
fcList = arcpy.ListFeatureClasses()

# Copy the shapefiles to the file geodatabase
arcpy.FeatureClassToGeodatabase_conversion(fcList, targetGDB)

# Change the workspace to the target file geodatabase
env.workspace = targetGDB

# Create a new list of feature class to iterate through
fcList = arcpy.ListFeatureClasses()

# Declare the map document object
mxd = arcpy.mapping.MapDocument("/path to your .mxd/")

# Create a data frame object from the single data frame in our mxd
data_frame = arcpy.mapping.ListDataFrames(mxd)[0]

# Set the active view for our mxd to the data frame - reference it using its name
mxd.activeView = data_frame.name

# Target directory for the PNGs
outDir = "/path to target directory/"

# Iterate through each of the feature classes in our list
for fc in fcList:
	
	# Store the name of the feature class in a variable
	lyrName = arcpy.Describe(fc).name

	# Convert the feature class to a layer
	arcpy.MakeFeatureLayer_management(fc, lyrName)
	lyr = arcpy.mapping.Layer(lyrName)

	# Add the layer to the data frame
	arcpy.mapping.AddLayer(data_frame, lyr, "TOP")

	# These are just to make sure our layer is visible and the data frame is refreshed
	lyr.visible = True
	arcpy.RefreshTOC()
	arcpy.RefreshActiveView()

	# select the layer in the data frame
	arcpy.SelectLayerByAttribute_management(lyr, "NEW_SELECTION")

	# Get the extent of the layer
	lyrExtent = lyr.getSelectedExtent()

	# Change the extent of the data frame to the extent of our layer
	data_frame.extent = lyrExtent
	
	# Export to PNG
	arcpy.mapping.ExportToPNG(mxd, outDir + str(arcpy.Describe(lyr).nameString) + ".png", data_frame, df_export_width = 10000, df_export_height = 10000)
	
	# Make sure the data frame is empty before ending the loop.
	for i in arcpy.mapping.ListLayers(mxd,"", data_frame):
		arcpy.mapping.RemoveLayer(data_frame, i)

	# Cleaning up after ourselves.  Delete the layer before moving on to the next feature class
	del lyr

# Turning our maps black
# Set the path to the directory containing PNG files.
path = "/path to directory containing output PNGs/"
fileList = os.listdir(path)

# Loop through all of the PNGs
for img in fileList:
	# Open the image
	im = Image.open(path + img)
	
	# Load the image for use
	pix = im.load()
	
	# Assign the height and width to variables
	w,h = im.size
	
	# Assign RGB values for black and white to tuples
	black = (0,0,0)
	white = (255,255,255)
	
	# Loop through all of the pixels
	for x in range(w):
		for y in range(h):
			
			# Check if pixel RGB value is not black and is not white.  If not, change its RGB to black
			if pix[x,y] != black and pix[x,y] != white:
				pix[x,y] = black
	
	# Save the PNG to target directory, removing "_rds" from the filename.
	im.save("/path to target directory for final PNGs/" + img.replace("_rds",""))