I have a function that takes a GeoSeries as input and returns a value. When I call said function over all rows in a large geodataframe (gdf) with gdf.apply(), setting the output as a new column in the dataframe, it works:

# successful:
gdf = gpd.read_file(inShp)
gdf['output_column'] = gdf.apply(lambda f: myFunction(f, arg), axis = 1)

But when I try to split the dataframe up with dask_geopandas and call the same function:

# not successful:
ddf = dask_geopandas.from_geopandas(gdf, npartitions=2)
out = ddf.apply(lambda f: myFunction(f, arg), axis = 1, meta=metaArg)
comp = out.compute()

I get this error:

AttributeError: 'GeoDataFrame' object has no attribute 'name'

The same error occurs when metaArg = ddf; ddf._meta; or gdf.

If my function is something simple such as the following, I still get the same error on out.compute():

def myFunction(gs):

    return len(gs)

What am I doing wrong?

  • can you try to make a reproducible example?
    – Shawn
    Sep 14, 2022 at 0:37
  • The value passed to metaArg might be wrong? (I suppose it expects a Series and not a DataFrame, that could explain the error)
    – joris
    Oct 26, 2022 at 23:32

1 Answer 1


As if happens, adding this line before setting ddf makes it work. Seems like a bug?

gdf['name'] = 'name'

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