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When #2032 is done, it would be useful to have something like this
import vaex df = vaex.datasets.titanic() def custom_f(x,y): return {"name": x,"cabin": y} df["content"]=df.apply(custom_f, arguments=[df["name"], df["cabin"]]) df_pandas=df.to_pandas_df() df_pandas.groupby(by=['pclass', 'survived']).agg({ 'content': list}).reset_index()
The text was updated successfully, but these errors were encountered:
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When #2032 is done, it would be useful to have something like this
The text was updated successfully, but these errors were encountered: