Read GDAL compatible file formats into polars / geopolars

Overview

Read GDAL-compatible geospatial data into Polars and GeoPolars.

Supports reading the following geospatial formats into a Polars Dataframe:

  1. GeoJSON
  2. ShapeFiles
  3. CSV with lat / lon
  4. FlatGeobuf
  5. KML
  6. GPX
  7. PostGIS (via network)
  8. SpatialLite
  9. ... and many more

Example 1: Dataframe from a file

use geopolars_gdal::df_from_resource;
let df = df_from_resource("my_shapefile.shp", None).unwrap();
println!("{}", df);

Example 2: DataFrame from raw bytes

use geopolars_gdal::df_from_bytes;

let geojson = r#"{"type":"FeatureCollection","features":[{"type":"Feature","properties":{"name":"foo"},"geometry":{"type":"Point","coordinates":[1,2]}},{"type":"Feature","properties":{"name":"bar"},"geometry":{"type":"Point","coordinates":[3,4]}}]}"#.as_bytes().to_vec();

let df = df_from_bytes(geojson, None, None).unwrap();
println!("{}", df);

Example 3: Dataframe from GDAL Layer with filtering query

use geopolars_gdal::{df_from_layer, gdal};
use gdal::vector::sql;

let dataset = gdal::Dataset::open("my_shapefile.shp")?;
let query = "SELECT kind, is_bridge, highway FROM my_shapefile WHERE highway = 'pedestrian'";
let mut result_set = dataset.execute_sql(query, None, sql::Dialect::DEFAULT).unwrap().unwrap();

let df = df_from_layer(&mut result_set, None).unwrap();
println!("{}", df);

Example 4: Dataframe from Latitude / Longitude CSV with custom parsing options

let mut params = geopolars_gdal::Params::default();
let csv_parsing_options = ["EMPTY_STRING_AS_NULL=YES", "KEEP_GEOM_COLUMNS=NO", "X_POSSIBLE_NAMES=Lon*", "Y_POSSIBLE_NAMES=Lat*"];
params.open_options = Some(&csv_parsing_options);
 
let df = df_from_resource("lat_lon_countries.csv", Some(params)).unwrap();
println!("{}", df);

Example 5: Dataframe from a PostGIS table

use geopolars_gdal::{df_from_resource, Params};

let mut params = Params::default();
params.layer_name = Some("some_table_name");
 
let df = df_from_resource("postgresql://user:pass@host/db_name", Some(params)).unwrap();
println!("{}", df);
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