Exporting and Converting Spatial Data
5. Exporting and Converting Spatial Data
5.4. Installation and Setup
5.4.1. Library Import and Initial Setup
5.5. Installing and Loading Extensions
5.7. Exporting to Pandas DataFrames
5.7.1. Basic DataFrame Export
5.7.2. Exporting Filtered Query Results
5.7.3. Working with Geometry Columns in DataFrames
5.7.4. Converting Geometries to Text for DataFrames
5.7.5. Integrating with GeoPandas for Spatial Operations
5.8. Exporting to CSV Files
5.8.2. Streaming Query Results to CSV
5.8.3. Handling Geometries in CSV Exports
5.8.4. When to Use CSV Export
5.9. Exporting to JSON Files
5.9.2. Exporting Filtered Query Results to JSON
5.9.3. Handling Geometries in JSON Exports
5.9.4. When to Use JSON Export
5.10. Exporting to Excel Files
5.10.1. Install the excel extension
5.10.2. Installing and Loading the Excel Extension
5.10.3. Basic Excel Export Without Geometries
5.10.4. Including Spatial Information as Text Columns
5.10.5. Exporting Filtered and Aggregated Results to Excel
5.10.6. When to Use Excel Export
5.11. Exporting to Parquet Files
5.11.1. Key Advantages of Parquet
5.11.2. Basic Parquet Export
5.11.3. Exporting Filtered Query Results to Parquet
5.11.4. Partitioned Parquet Writes
5.16. Exercises
5.16.1. Exercise 1: Basic CSV Export with Geometry Handling
5.16.3. Exercise 3: DataFrame Export and Manipulation
5.16.4. Exercise 4: Exporting with Spatial Aggregations
5.16.5. Exercise 5: GeoJSON Export for Web Mapping
5.16.6. Exercise 6: GeoPackage Export for GIS Interoperability
5.16.7. Exercise 7: Partitioned Parquet Export
5.16.8. Exercise 8: Excel Export with Readable Geometries
5.16.9. Exercise 9: Round-Trip Export and Import
5.16.10. Exercise 10: Comprehensive Export Pipeline Challenge