analyze_coordinates.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Coordinate Analysis Script
좌표 분석 스크립트
"""

import pandas as pd

def main():
    """메인 함수"""
    print("🔍 Analyzing Coordinates")
    
    # 지도 데이터 로드
    df = pd.read_csv('basic_map.csv')
    
    print(f"\n📐 Coordinate Ranges:")
    print(f"   X range: {df['x'].min():.0f} to {df['x'].max():.0f}")
    print(f"   Y range: {df['y'].min():.0f} to {df['y'].max():.0f}")
    
    x_span = df['x'].max() - df['x'].min()
    y_span = df['y'].max() - df['y'].min()
    
    print(f"\n📏 Spans:")
    print(f"   X span: {x_span:.0f}m")
    print(f"   Y span: {y_span:.0f}m")
    
    # 500m 셀 크기로 그리드 계산
    cell_size = 500
    grid_width = int(x_span / cell_size) + 1
    grid_height = int(y_span / cell_size) + 1
    
    print(f"\n🔲 Grid Calculation (500m cells):")
    print(f"   Grid width: {grid_width} cells")
    print(f"   Grid height: {grid_height} cells")
    print(f"   Total grid cells: {grid_width * grid_height:,}")
    print(f"   Actual data cells: {len(df):,}")
    print(f"   Empty cells: {grid_width * grid_height - len(df):,}")
    
    # 좌표 간격 확인
    x_coords = sorted(df['x'].unique())
    y_coords = sorted(df['y'].unique())
    
    print(f"\n📊 Coordinate Analysis:")
    print(f"   Unique X coordinates: {len(x_coords)}")
    print(f"   Unique Y coordinates: {len(y_coords)}")
    
    # X 간격 확인
    if len(x_coords) > 1:
        x_intervals = [x_coords[i+1] - x_coords[i] for i in range(len(x_coords)-1)]
        print(f"   X intervals: {set(x_intervals)}")
    
    # Y 간격 확인  
    if len(y_coords) > 1:
        y_intervals = [y_coords[i+1] - y_coords[i] for i in range(len(y_coords)-1)]
        print(f"   Y intervals: {set(y_intervals)}")

if __name__ == "__main__":
    main()