Because csv.reader returns a list, we can access elements of that list by their numerical index. The simplekml newpoint method requires that we send it a NAME and a COORDS, each of which we can easily pull directly from the CSV file that we’ve opened via our csv reader. newpoint ( name = row, coords =, row )]) kml. reader ( open ( 'geocoded-placenames.csv', 'r' )) kml = simplekml. Now, let’s add the necessary simplekml bits: import csv import simplekml inputfile = csv. reader ( open ( 'geocoded-placenames.csv', 'r' )) for row in inputfile : #do something Let’s start by reading the lines of our CSV file in our usual way import csv inputfile = csv. 1) Create a simplekml object 2) Add points to it 3) Write the object to a file. There are really only three crucial lines of code needed to use simplekml. If you haven’t already, you’ll first need to get the simplekml module.

Using the python simplekml module makes creating a KML file of these points unfairly easy.

Let’s say you’ve extracted placenames from somwhere, and geocoded them, and now have a file that looks like: 'Charleston County, SC',32.7956561,-79.7848422 If you want a quick and dirty way to visualize datapoints on a map, python makes it easy to create a KML file that you can overlay on a map embedded on a webpage or on Google Earth.

Kmz file reader