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# Loop through the columns and create a element for every field that has a value.ĭataElement = kmlDoc.createElement('Data') PlacemarkElement = kmlDoc.createElement('Placemark')ĮxtElement = kmlDoc.createElement('ExtendedData') # This creates a element for a row of data. # This extracts an address from a row and returns it as a string. This requires knowing
#CONVERT KML TO CSV EXCEL CODE#
Sample code for creating a KML file from a CSV file using Python csvtokml.py Office,Address1,Address2,Address3,City,State,Zip,Phone,Fax In the field names list as a comma separated list, like this: However, dict.keys() does not preserve the original order from the document. If we did not careĪbout the order of the elements, we could user dict.keys() to produce a list. Script, the script will add elements in that order. If you pass a list of column names as arguments to the.The coordinates in step 14, then append it to the Geocode the address using the geocoding_for_kml.py codeĪddresses for Use in KML.Requires prior knowledge of the structure of the CSV file and which It's OK if there are commas next to each other. Would be 1600 Amphitheater Parkway,Mountain View,CA,94043. Extract the address from the row so that it is one singleįormat: Address1,Address2,City,State,Zip.Value of the column using createTextNode. It the value of the column name using setAttribute. For each column in each row, create an.Create the document using Python's ().Import geocoding_for_kml.py into your module.įiles.These are the steps for parsing the CSV file and creating a You create an element with createElement orĬreateElementNS, and append to another element with appendChild. Some basic handlers to pass the field structure dynamically.ĭocuments, and since KML is XML, you'll use it pretty heavily in this This code sample relies on you knowingīeforehand the structure of your data, but you could add in Python can turn that into a collection of dicts For instance,įirst block of text in each row is the "Office" field, the second The first line contains the names of the fields in order.
#CONVERT KML TO CSV EXCEL SERIES#
Notice how each line is a series of text strings separated by commas.Įach comma delimits a field each line has the same number of commas. Public Policy Office,1001 Pennsylvania Avenue NW,Washington,DC,20004,20, Seattle Engineering Office,720 4th Avenue,Kirkland,WA,98033,42,42 Santa Monica Sales & Engineering Office,604 Arizona Avenue,Santa Monica,CA,90401,31,31 Pittsburgh Engineering Office,4720 Forbes Avenue,Pittsburgh,PA,15213, Irvine Sales & Engineering Office,19540 Jamboree Road,Irvine,CA,92612,94,94 New York Sales & Engineering Office,76 Ninth Avenue,New York,NY,10011,21,21Īnn Arbor Sales Office,201 South Division Street,Ann Arbor,MI,48104,73,73Ītlanta Sales & Engineering Office,10 10th Street NE,Atlanta,GA,30309,40,40īoulder Sales & Engineering Office,2590 Pearl St.,Boulder,CO,80302,30,30Ĭambridge Sales & Engineering Office,5 Cambridge Center,Cambridge,MA,02142,61,61Ĭhicago Sales & Engineering Office,20 West Kinzie St.,Chicago,IL,60610,31,31Ĭoppell Sales Office,701 Canyon Drive,Coppell,TX,75019,21,21ĭetroit Sales Office,114 Willits Street,Birmingham,MI,48009,24,24 Headquarters,1600 Amphitheatre Parkway,Mountain View,CA,94043,65,65 Office,Address1,Address2,Address3,City,State,Zip,Phone,Fax Supported in Google Maps or other KML-consuming applications, but theįor this tutorial, use the google-addresses.csvįile as a sample CSV file.
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As such, the KML produced is not currently It also uses theĢ.2, and takes advantage of the balloon templating outlined in AddingĬustom Data. This tutorial uses code from GeocodingĪddress into longitude/latitude coordinates. The code samples in this tutorial are in Python, they can be Therefore it makes a great medium for exchanging large Languages, such as Python, have special libraries to read and write CSVįiles. Its simple format can be edited in a text editor. Spreadsheets and databases can both read and write CSV files. CSV data is one of the most ubiquitous file formats
#CONVERT KML TO CSV EXCEL HOW TO#
This tutorial outlines the basics of how to create KML from Commaĭata using Python.