geopandas.GeoSeries.estimate_utm_crs¶
- GeoSeries.estimate_utm_crs(datum_name='WGS 84')¶
Returns the estimated UTM CRS based on the bounds of the dataset.
New in version 0.9.
Note
Requires pyproj 3+
- Parameters
- datum_namestr, optional
The name of the datum to use in the query. Default is WGS 84.
- Returns
- pyproj.CRS
Examples
>>> world = geopandas.read_file( ... geopandas.datasets.get_path("naturalearth_lowres") ... ) >>> germany = world.loc[world.name == "Germany"] >>> germany.geometry.estimate_utm_crs() <Projected CRS: EPSG:32632> Name: WGS 84 / UTM zone 32N Axis Info [cartesian]: - E[east]: Easting (metre) - N[north]: Northing (metre) Area of Use: - name: World - N hemisphere - 6°E to 12°E - by country - bounds: (6.0, 0.0, 12.0, 84.0) Coordinate Operation: - name: UTM zone 32N - method: Transverse Mercator Datum: World Geodetic System 1984 - Ellipsoid: WGS 84 - Prime Meridian: Greenwich