https://github.com/danielcba/csv-to-kml
This Python script that converts a CSV file containing geographic coordinates (latitude and longitude) into a KML (Keyhole Markup Language) file. The KML file can be used with geographic visualization tools such as Google Earth, QGIS, etc.
https://github.com/danielcba/csv-to-kml
csv google-earth kml python3 qgis simplekml
Last synced: 2 months ago
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This Python script that converts a CSV file containing geographic coordinates (latitude and longitude) into a KML (Keyhole Markup Language) file. The KML file can be used with geographic visualization tools such as Google Earth, QGIS, etc.
- Host: GitHub
- URL: https://github.com/danielcba/csv-to-kml
- Owner: danielcba
- License: mit
- Created: 2024-07-26T03:21:00.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-10-30T03:00:06.000Z (7 months ago)
- Last Synced: 2025-01-22T11:47:34.739Z (4 months ago)
- Topics: csv, google-earth, kml, python3, qgis, simplekml
- Language: Python
- Homepage:
- Size: 6.84 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README-EN.md
- License: LICENSE
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README
# CSV to KML Converter
This Python script converts a CSV file containing geographic coordinates (latitude and longitude) into a KML file (Keyhole Markup Language). The KML file can be used with geographic visualization tools such as Google Earth, QGIS, etc.
## Requirements
- Python 3.x
- `simplekml` library
You can install the `simplekml` library using pip:
```sh
pip install simplekml
```
## Usage
1. Prepare your CSV file with the following format:
```csv
latitude,longitude
-31.518,-65.104
-31.548,-65.095
```
2. Save the CSV file in a known location on your system.
3. An example file 'coordinates.csv' is attached.
### Script: `csv_to_kml.py`
```python
import csv
import simplekml
# Create a KML object
kml = simplekml.Kml(open=1)
# Open the CSV file
with open('/my-folder/coordinates.csv') as csvfile:
reader = csv.DictReader(csvfile) # Read the CSV file using a DictReader
# Iterate through each row in the CSV
for row in reader:
lat, lon = (row['latitude'], row['longitude']) # Get latitude and longitude from the row
pnt = kml.newpoint() # Create a new point in the KML
pnt.coords = [(lon, lat)] # Set the point's coordinates
# Save the KML file
kml.save("/my-folder/points.kml")
```
### Run the Script
1. Ensure that the script and the CSV file are in the specified directories.
2. Run the script using Python:
```sh
python csv_to_kml.py
```
3. The KML file will be created in the specified directory.
### Notes
- Make sure the CSV file path in the script matches the actual location of your CSV file.
- The script assumes the CSV file contains columns named `latitude` and `longitude`.
### Contributions
Contributions are welcome! Feel free to submit a Pull Request.
### Contact
If you have any questions or suggestions, please open an issue or contact me.
### License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for more details.