cprima · December 30, 2024 19:27 · cprima · Dec 30, 2024 · cprima · Dec 30, 2024
diff --git a/README.md b/README.md
diff --git a/process_wkt_to_overpass.py b/process_wkt_to_overpass.py
 import pandas as pd

 def process_wkt_to_overpass(input_csv, output_csv):
    """
    Reads a CSV with a WKT column, processes it into Overpass poly format, and saves it to a new CSV.
    """
    # Load data
    df = pd.read_csv(input_csv)
    
    # Extract WKT data
    if 'WKT' not in df.columns:
        raise ValueError("The input CSV must have a 'WKT' column.")
    
    wkt_data = df['WKT'].iloc[0]  # Assuming only one WKT geometry to process

    # Clean and transform WKT to Overpass format
    cleaned_wkt = wkt_data.replace("MULTIPOLYGON (((", "").replace(")))", "")
    coordinates = cleaned_wkt.split(",")
    formatted_coordinates = " ".join(
        " ".join(reversed(coord.strip().split())) for coord in coordinates
    )
    
    # Create new dataframe with processed data
    result_df = pd.DataFrame({"Overpass_Polygon": [formatted_coordinates]})
    
    # Save to a new CSV
    result_df.to_csv(output_csv, index=False)
    print(f"Processed polygon saved to {output_csv}")

 # Specify input and output filenames
 input_csv = "C:/Users/cpm/Downloads/cpm_travel_2025_plan.csv"  # Replace with your input file name
 output_csv = "C:/Users/cpm/Downloads/cpm_travel_2025_plan_temp_wkt.csv"    # Replace with your desired output file name

 # Run the function
 if __name__ == "__main__":
    process_wkt_to_overpass(input_csv, output_csv)
	import pandas as pd

	def process_wkt_to_overpass(input_csv, output_csv):
	"""
	Reads a CSV with a WKT column, processes it into Overpass poly format, and saves it to a new CSV.
	"""
	# Load data
	df = pd.read_csv(input_csv)

	# Extract WKT data
	if 'WKT' not in df.columns:
	raise ValueError("The input CSV must have a 'WKT' column.")

	wkt_data = df['WKT'].iloc[0] # Assuming only one WKT geometry to process

	# Clean and transform WKT to Overpass format
	cleaned_wkt = wkt_data.replace("MULTIPOLYGON (((", "").replace(")))", "")
	coordinates = cleaned_wkt.split(",")
	formatted_coordinates = " ".join(
	" ".join(reversed(coord.strip().split())) for coord in coordinates
	)

	# Create new dataframe with processed data
	result_df = pd.DataFrame({"Overpass_Polygon": [formatted_coordinates]})

	# Save to a new CSV
	result_df.to_csv(output_csv, index=False)
	print(f"Processed polygon saved to {output_csv}")

	# Specify input and output filenames
	input_csv = "C:/Users/cpm/Downloads/cpm_travel_2025_plan.csv" # Replace with your input file name
	output_csv = "C:/Users/cpm/Downloads/cpm_travel_2025_plan_temp_wkt.csv" # Replace with your desired output file name

	# Run the function
	if __name__ == "__main__":
	process_wkt_to_overpass(input_csv, output_csv)