python csv to kml
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keyhole markup language (kml) is an xml-based file format used to display geographic data in mapping applications. python offers powerful libraries for data manipulation and conversion, making it an excellent choice for handling csv data and transforming it into kml format. in this tutorial, we'll explore how to convert csv data to kml using python.
to follow along with this tutorial, you'll need:
we'll be using the csv library for reading csv files and the simplekml library for generating kml files. ensure these libraries are installed before proceeding.
you can install simplekml using pip:
the conversion process can be broken down into the following steps:
let's walk through an example of converting csv data containing latitude and longitude information to kml format. suppose we have a csv file named locations.csv with the following structure:
we want to convert this data into a kml file that displays markers for each location on a map.
this script defines a function csv_to_kml that takes the input csv file path (csv_file) and the output kml file path (kml_file). it reads the csv file using csv.dictreader, extracts the name, latitude, and longitude information, creates kml points using simplekml, and saves the resulting kml file.
in this tutorial, we learned how to convert csv data to kml format using python. by leveraging the csv and simplekml libraries, we can easily process geographic data and generate kml files for use in mapping applications. you can extend this example further by customizing the kml structure, adding additional data fields, or integrating with other python libraries for advanced geospatial analysis.
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