A big part of that is how simple it is to work with large datasets. Every technology company today is building up a data strategy. Over the years, the list of possible formats that you can store your data in has grown significantly. A CSV file is the most common way to store your data.
We can do both read and write of a CSV using the built-in Python csv library. Check out the code below. When we run csv. The csvreader. We can also loop through every row of the csv using a for-loop as with for row in csvreader. Writing to CSV in Python is just as easy. Set up your field names in a single list, and your data in a list of lists.
Reading from CSV is a single line as is writing it back to file! We can even use Pandas to convert from CSV to a list of dictionaries with a quick one-liner. JSON provides a clean and easily readable format because it maintains a dictionary-style structure. When we read in the CSV, it will become a dictionary. We then write that dictionary to file. When converting to XML, the dicttoxml library is always our friend.
XML on the other hand tends to be a bit heavier. From there, we can convert the ElementTree object to a dictionary using the xmltodict library. Connect with me on LinkedIn too!
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Towards Data Science A Medium publication sharing concepts, ideas, and codes. Towards Data Science Follow.Attached is the error that I receive when trying to run this code. I believe I have all of the prerequisites you call on installed correctly and I'm having trouble figuring out what could be wrong.
Any help is much appreciated. Okay lkwalke4I'll take a look. Upfront, I apologize for the lengthy explanations. This response provides instruction in detail because I want to make sure you have everything you need, but I also want to have this instruction for anyone that would come after you. If the help seems overly simple or extensive, keep in mind the purpose. I'm want to write this so any level of Python user can understand. Also, understand it will be difficult for me to debug your exact issue since I don't have the file; it's like I'm trying to reach a door on the other side of a dark room that I vaguely remember.
Expect some stumbles along the way Some details below may not apply to you, but I'll give it my best go. Let's get to your solution! Based on your error, there's one bad key. You can skip it to see if you're getting the result you need. You'll make an edit at one specitic line; line Just add this to skip:. There's another option too! You could just use geopandas. First you need to install geopandas and make sure it's installed in the Python interpreter that you use for ArcGIS. Based on your stack trace, you're on a Windows machine to installs can be tricky.
Use wheels to make it simpler. You also may need to install from here if below doesn't work. Make sure you download the correct wheel for your version of Python and architecture of Windows. The next step is enabling KML reading in fiona fiona is the Python library to read and write geospatial files. As a warning, this method is easy but sometimes you lose data not all lines read in.
Because it's so easy, I think it's at least worth a shot.
That code will load up your KML as a geopandas. It eliminates your need for PostGIS; with a stack of geopandasshapely for geosptial opspysal for advanced geospatial analyticsrasterio raster analysisdatashader visualize large datasets in milliseconds such as lidar and fionayou eliminate the need for ArcGIS or any other GIS tool.
Moving on, the last step is writing your data to a shapefile. That line also creates the dbfprjcpgshx and gif files. And, best of all, QGIS is free. A zoologist in South Africa used this same code I'm helping you with. We got his errors fixed so I'm confident we can do the same for your KML. If not, there's QGIS. You'd just load, right click and download as a shapefile:.
Get back to me when you can. Sorry it took a few days to respond but hopefully you can try some of the things above and get back to me in the next week or so. Typically it's because the built in Arc functionality doesn't preserve the "Pop-up Info" field for some reason.
Anyway, that's why I've been trying to get your tool to work - to use on these problem KMLs.You seem to have CSS turned off. Please don't fill out this field. Do you have a GitHub project?
Now you can sync your releases automatically with SourceForge and take advantage of both platforms. When I try to run the program, there is a problem with Java. I get a log that starts: "Java was started but returned exit code I don't know what version of this software the other reviewers were using, but this application did not work as advertised -- it failed to convert the one KML file I gave it.
The console log stated that it was converting The interface was not intuitive. I had expectations, as an experienced software engineer, of how a file converter should be put together and this violated the Principle of Least Astonishment straightaway.Python Web Scraping Tutorial 22 – Storing Data to CSV
I'd like to point a converter at a file and have it converted; I do not want to have to have it observe a directory for any new files. This adds an annoying and unnecessary step in the conversion process. I suppose this might be good for doing mass conversions, but not for one off conversions, which is the likeliest use case.
And having it do a "configure" before use is just silly. If some complex set up is required, then the application should walk you through that before dropping you into the main application.
It only takes a minute to sign up. I am trying to get a KML-file wijken. As it provides no further info, and the Python code wraps other C?
The CSV-file contains multiple columns, perhaps something is wrong there, but I have not found a comparable online WKT-example to test. I feel that I'm missing something, it can't be so hard to get data into Shapely.
Shapely deals with geometric objects, not features or collections of features. See the manual on shape. To get some line and polygons into shapely I used My Maps at maps. PS: I don't see a way to add a comment to Sean's answer but wonder why he didn't mention Keytree, which I found via another similar question: How do I find out if a given lat lon is in a KML Linear ring using shapely? Sign up to join this community.
The best answers are voted up and rise to the top. Home Questions Tags Users Unanswered. Asked 7 years, 1 month ago. Active 3 years, 8 months ago. Viewed 9k times. Active Oldest Votes. Your code with JSON could be: import json from shapely. Sign up or log in Sign up using Google.
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If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. There are some products out there, but I would like to make an open source program for those who only need to convert simple kml files. Enjoy its use and I appreciate any comments or help. It doesn't have a GUI and it is very basic. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
Sign up. This python script will take a csv file with name, lat, lon, and description columns and create a simple kml file.
Convert KML to CSV Online
Tcl Python. Tcl Branch: master. Find file. Sign in Sign up. Go back. Launching Xcode If nothing happens, download Xcode and try again.
Latest commit Fetching latest commit…. Download the dist file and all of its contents. Run the kmlWriter. You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window.The following tutorial gives a brief overview of many of the features of pyKML. It is designed to run from within a Python or iPython shell, and assumes that pyKML has been installed and is part of your Python search path.
The tutorial is designed to be followed from start to finish. If you are creating KML documents that utilize elements that are not part of the default KML namespace, you will want to create an additional factory objects for each namespace. For example, the following creates factory objects that can be used to create elements that are part of the ATOM and Google Extensions namespace:. Once a pyKML object element has been created, a string representation can be generated by using the.
The following creates a second placemark object, and then groups the two placemarks together in a folder. Objects representing KML elements can also be appended into objects that have already been created. For example, the following appends yet another placemark to the folder. Similarly, you can remove elements from an existing object.
The following removes the second of three placemarks from the folder:.
KML documents that you create can be validated against XML Schema documents, which define the rules of which elements are acceptible and what ordering can be used. Then use the schemas to validate your KML objects, using the. For invalid documents, it is often useful to obtain details of why the document is invalid using the.
The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I've looked at many forums, tried both lxml and xmlutils.
There are several trk tags in my massive XML file, but I can manage to separate them out -- they represent different "segments" or trips on the GPS device. All I want is a CSV file that plots something like this:. This is another alternative code. It merely outputs a CSV file with no data, just the headers lat and lon. How do I do this? Please realize I'm a novice, so a more comprehensive explanation would be super awesome!
This is a namespaced XML document. Therefore you need to address the nodes using their respective namespaces. Therefore you would need to write root. In order to also get time and elevation, you can use trkpt. You many find the relevant scripts pointed to in those links. Learn more. Asked 6 years, 3 months ago. Active 2 years, 3 months ago.
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Viewed 36k times. Here's the code I have so far: Call libraries import csv from xmlutils. And what did you get as the output?