CSV-to-KML-Converter

Latitude (ins CSV) to KML Converter

CSV to KML Converter

The CSV to KML Converter is a Python script that allows you to convert CSV (Comma-Separated Values) files containing geographical data to KML (Keyhole Markup Language) format, which is commonly used for visualizing geographic data in tools like Google Earth.

Prerequisites

Before running the converter, ensure you have the following installed:

• Python (version 3.6 or higher)
• Required Python packages: simplekml, csv

Installation

1. Clone or download this repository to your local machine.

2. Ensure you have Python installed. If not, you can download it from the official Python website (https://www.python.org/downloads/).

3. Open a terminal or command prompt and navigate to the project's directory.

4. Install the required Python packages by running the following command:

   pip install simplekml
   

Usage

1. Place your CSV file with geographical data in the same directory as the Python script (csv_to_kml_converter.py).

2. Make sure your CSV file has the following columns: 'WELL NAME', 'Latitude', 'Longitude', and 'Status'. The 'WELL NAME' column should contain the name of each well, and 'Latitude'/'Longitude' should contain the corresponding coordinates. The 'Status' column can contain additional information about each well.

3. Run the Python script by executing the following command in the terminal:

   python csv_to_kml_converter.py
   

4. The script will prompt you to enter the name of the input CSV file (e.g., input.csv). Press Enter after providing the file name.

5. The converted KML file will be generated in the same directory with the name output.kml.

6. You can now open the output.kml file in tools like Google Earth to visualize the well locations and their statuses.

Sample CSV Format

Here's an example of how your CSV file should be formatted:

WELL NAME,Latitude,Longitude,Status
ALBERTON-1,-38.6390335,146.6354826,Needs further investigation
... (add more wells as needed)

Make sure to remove this example from the README and use your actual well data in the CSV file.

Troubleshooting

• If you encounter any issues while running the script, ensure that your CSV file is properly formatted and contains the required columns.
• Make sure you have installed the required Python packages mentioned in the "Prerequisites" section.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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