CODEWITHSUNDEEP
pythonpandasgeopandas
four-eyes
four-eyes

Reputation: 12385

GeoPandas tranforming CRS: Cannot transform naive geometries. Please set a crs on the object first

I create a GeoDataFrame like this

gdf = gp.GeoDataFrame([], columns=['foo', 'geometry'], crs = "epsg:4326")

Then I fill gdf with data. Then I want to transform the CRS of gdf

gdf.to_crs(epsg = "25833")

This gives me

ValueError: Cannot transform naive geometries. Please set a crs on the object first.

This confuses me. The output of gdf.crs is

<Geographic 2D CRS: EPSG:4326>
Name: WGS 84
Axis Info [ellipsoidal]:
- Lat[north]: Geodetic latitude (degree)
- Lon[east]: Geodetic longitude (degree)
Area of Use:
- name: World.
- bounds: (-180.0, -90.0, 180.0, 90.0)
Datum: World Geodetic System 1984 ensemble
- Ellipsoid: WGS 84
- Prime Meridian: Greenwich

I tried

gdf.set_crs(epsg = "4326")

and then

gdf.to_crs(epsg = "25833")

and got the same result.

Why can't GeoPandas reproject the coordinates?

Upvotes: 1

Views: 1705

Answers (1)

four-eyes
four-eyes

Reputation: 12385

Doing this crs = "epsg:4326" upon intialization of the GeoDataFrame (gdf = gp.GeoDataFrame(...)) does not seem like a good idea.

Besides that, setting the CRS must be done with an inplace = True.

gdf.set_crs(epsg = "4326", inplace = True)

Transforming too:

gdf.to_crs(epsg = "25833", inplace = True)

Upvotes: 3

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