Best way to convert kml to csv
- #Best way to convert kml to csv how to
- #Best way to convert kml to csv install
- #Best way to convert kml to csv code
- #Best way to convert kml to csv zip
#Best way to convert kml to csv install
#Best way to convert kml to csv zip
# Name Address.1 Address.2 City State Zip # TRANSFORM NESTED INPUT INTO FLATTER OUTPUTįinal_df <- read.csv('/path/to/Output.csv') Style <- read_xml('/path/to/Script.xsl', package = "xslt") With open('/path/to/Output.csv', 'wb') as f: # Redmont Distilling Company,4550 5th Ave South,building N,Birmingham,Alabama,35222 # Bomb City Enterprises,306 S Cleveland St,Amarillo,Alabama,79102
# Name,Address 1,Address 2,City,State,Zip Name,Address 1,Address 2,City,State,Zip Since KML files are XML files, consider XSLT, the special purpose language designed to transform XML files to different XML, HTML, even CSV formats.īoth Python with lxml and R with xslt (extended package to xml2) modules can run XSLT 1.0 scripts. If you need further clarification, please just ask. Honestly, I am also fine just getting rid of Address 2 as well. I really have not a clue what to try next at this point.Įnd file will be a CSV file with headers: Name, Address 1, Address 2, City, State, Zip. This is my first crack at XML/KML parsing, so any help I would greatly appreciate. The real difficulty I am having is pulling the. Therefore, I believe that this is trying actually pull everything at once from the extended Data which is also not what I want. I believe that this is because in the first record, Address 2 is empty. When I run this, I get the first record with the first address line 1 perfectly, but I also get the following error:ĪttributeError: 'NoneType' object has no attribute 'strip'
#Best way to convert kml to csv code
The additional code that I have tried is below: import as etįor pm in doc.iterfind('.//value'.format(nmsp)):Īddress1.append(().replace('\n','')) I figure, if I can get this, then I should be able to extend it all the way. The example below only attempts to get Name and Address Line 1. For example, Address 2 is often empty, just return an empty field and keep moving so that when I merge the lists, everything lines up. I am fine if I end up with everything so long as it puts an empty field where there is no data.
Then from the extended data section, I am looking ultimatly to get Address 1, Address 2, City, State Abbreviation, and Zip. What I am trying to get is first the name. However, with the added data, if someone is able to do this in R, I will be happy with that as well. Since I have had no luck with R, I have added my Python attempt below. S building C Birmingham Alabama AL 35222Īddress Line2: building CCity: BirminghamLocation: AlabamaState_Abbrev: ALPostal Code: 35222unnamed (1): unnamed (2): unnamed (3): Updated 20:30:13.383810: ]]>Ĥ550 5th Ave South building N Birmingham Alabama AL 35222Īddress Line2: building NCity: BirminghamLocation: AlabamaState_Abbrev: ALPostal Code: 35222unnamed (1): unnamed (2): unnamed (3): Updated 20:30:13.383810: ]]> The closest that I have gotten with this is from the stack post Read multiple layers of KML file using R.įor this first attempt, my code looks as follows: library(rgdal)Īddress Line2: City: AmarilloLocation: AlabamaState_Abbrev: ALPostal Code: 79102unnamed (1): unnamed (2): unnamed (3): Updated 20:30:13.383810: ]]>Ĥ500 5th Ave. The nodes that I am wanting to retrieve are Name, Address, City, State, Zip. What I am wanting is to extract all layers and ultimately separate them into their own csv files.
#Best way to convert kml to csv how to
However, I am being told the file originates at Distilleries Fighting Covid, but I couldn't figure out how to find it or get to it. This file was shared with me oringinally. I have included a link to download the file from my Dropbox. I am having difficulties parsing the layers of this KML file in R and Python.