GPX Track Processing

class GeoElevationData:
    def add_elevations(
        self, 
        gpx, 
        only_missing: bool = False, 
        smooth: bool = False, 
        gpx_smooth_no: int = 0
    ) -> None: ...

import srtm
import gpxpy

# Load GPX file
with open('track.gpx', 'r') as gpx_file:
    gpx = gpxpy.parse(gpx_file.read())

# Create elevation data object
elevation_data = srtm.get_data()

# Add elevations to all track points
elevation_data.add_elevations(gpx)

# Save modified GPX
with open('track_with_elevations.gpx', 'w') as output_file:
    output_file.write(gpx.to_xml())

print(f"Processed {gpx.get_track_points_no()} track points")

import srtm
import gpxpy

# Load GPX that may already have some elevation data
with open('partial_track.gpx', 'r') as gpx_file:
    gpx = gpxpy.parse(gpx_file.read())

elevation_data = srtm.get_data()

# Only fill missing elevations, preserve existing data
elevation_data.add_elevations(gpx, only_missing=True)

# Count points with elevation data
points_with_elevation = sum(
    1 for track in gpx.tracks 
    for segment in track.segments 
    for point in segment.points 
    if point.elevation is not None
)
print(f"Points with elevation data: {points_with_elevation}")

import srtm
import gpxpy

# Load GPX file
with open('noisy_track.gpx', 'r') as gpx_file:
    gpx = gpxpy.parse(gpx_file.read())

elevation_data = srtm.get_data()

# Add smoothed elevations with multiple smoothing passes
elevation_data.add_elevations(
    gpx, 
    smooth=True,           # Enable interpolated sampling
    gpx_smooth_no=2        # Apply 2 additional smoothing passes
)

# Calculate elevation statistics
elevations = [
    point.elevation for track in gpx.tracks 
    for segment in track.segments 
    for point in segment.points 
    if point.elevation is not None
]

if elevations:
    print(f"Elevation range: {min(elevations):.1f}m to {max(elevations):.1f}m")
    print(f"Average elevation: {sum(elevations)/len(elevations):.1f}m")

import srtm
import gpxpy
import os

# Configure for batch processing
elevation_data = srtm.get_data(batch_mode=True)

gpx_files = ['track1.gpx', 'track2.gpx', 'track3.gpx']

for gpx_filename in gpx_files:
    print(f"Processing {gpx_filename}...")
    
    # Load GPX
    with open(gpx_filename, 'r') as gpx_file:
        gpx = gpxpy.parse(gpx_file.read())
    
    # Add elevations
    elevation_data.add_elevations(gpx, smooth=True)
    
    # Save processed GPX
    output_filename = f"processed_{gpx_filename}"
    with open(output_filename, 'w') as output_file:
        output_file.write(gpx.to_xml())
    
    print(f"Saved {output_filename}")

print("Batch processing complete")

import srtm
import gpxpy
from datetime import datetime

elevation_data = srtm.get_data()

def process_gpx_with_stats(filename):
    """Process GPX file and return elevation statistics."""
    with open(filename, 'r') as gpx_file:
        gpx = gpxpy.parse(gpx_file.read())
    
    # Store original elevation count
    original_elevations = sum(
        1 for track in gpx.tracks 
        for segment in track.segments 
        for point in segment.points 
        if point.elevation is not None
    )
    
    # Add missing elevations with smoothing
    elevation_data.add_elevations(gpx, only_missing=True, smooth=True)
    
    # Calculate statistics
    elevations = []
    distances = []
    prev_point = None
    
    for track in gpx.tracks:
        for segment in track.segments:
            for point in segment.points:
                if point.elevation is not None:
                    elevations.append(point.elevation)
                
                if prev_point:
                    distance = point.distance_2d(prev_point)
                    if distance:
                        distances.append(distance)
                prev_point = point
    
    total_distance = sum(distances) if distances else 0
    elevation_gain = sum(
        max(0, elevations[i] - elevations[i-1]) 
        for i in range(1, len(elevations))
    ) if len(elevations) > 1 else 0
    
    return {
        'filename': filename,
        'total_points': gpx.get_track_points_no(),
        'original_elevations': original_elevations,
        'final_elevations': len(elevations),
        'min_elevation': min(elevations) if elevations else None,
        'max_elevation': max(elevations) if elevations else None,
        'total_distance_km': total_distance / 1000,
        'elevation_gain_m': elevation_gain
    }

# Process multiple files
stats = [process_gpx_with_stats(f) for f in ['hike1.gpx', 'hike2.gpx']]

for stat in stats:
    print(f"\n{stat['filename']}:")
    print(f"  Points: {stat['total_points']}")
    print(f"  Elevations added: {stat['final_elevations'] - stat['original_elevations']}")
    print(f"  Distance: {stat['total_distance_km']:.1f} km")
    print(f"  Elevation: {stat['min_elevation']:.0f}m - {stat['max_elevation']:.0f}m")
    print(f"  Total gain: {stat['elevation_gain_m']:.0f}m")

pip install gpxpy SRTM.py

import gpxpy
import srtm

# Parse GPX from string
gpx_string = """<?xml version="1.0"?>
<gpx version="1.1" creator="example">
  <trk>
    <trkseg>
      <trkpt lat="45.0" lon="7.0"></trkpt>
      <trkpt lat="45.1" lon="7.1"></trkpt>
    </trkseg>
  </trk>
</gpx>"""

gpx = gpxpy.parse(gpx_string)
elevation_data = srtm.get_data()
elevation_data.add_elevations(gpx)

# Output enhanced GPX
print(gpx.to_xml())