Apache Sedona™ Python API Documentation

🌍 Apache Sedona™ Python API

A cluster computing system for processing large-scale spatial data

Welcome to Apache Sedona™

Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark, Apache Flink, and Snowflake, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines.

This documentation covers the Python API for Apache Sedona, providing comprehensive guides and references for:

• Spatial RDDs: Distributed spatial data structures

• Spatial DataFrames: Spark DataFrame integration with spatial operations

• Spatial Functions: Built-in spatial analysis and processing functions

• Visualization: Map creation and spatial data visualization tools

• GeoPandas Integration: Seamless integration with the GeoPandas ecosystem

Contents:

• sedona
  • sedona package
• sedona.flink package
  • Submodules
  • sedona.flink.context module
  • Module contents
• sedona.spark package
  • Subpackages
  • Submodules
  • sedona.spark.SedonaContext module
  • Module contents
• sedona.spark.geopandas package
  • Subpackages
  • Submodules
  • sedona.spark.geopandas.base module
  • sedona.spark.geopandas.geodataframe module
  • sedona.spark.geopandas.geoseries module
  • sedona.spark.geopandas.io module
  • sedona.spark.geopandas.sindex module
  • Module contents
• sedona.stac package
  • Submodules
  • sedona.stac.client module
  • sedona.stac.collection_client module
  • Module contents
• sedona.stats package
  • Subpackages
  • Module contents
• sedona.utils package
  • Subpackages
  • Submodules
  • sedona.utils.adapter module
  • sedona.utils.spatial_rdd_parser module
  • Module contents