eland.Series.to_numpy#
- Series.to_numpy() None #
Not implemented.
In pandas this returns a Numpy representation of the Series. This would involve scan/scrolling the entire index.
If this is required, call
ed.eland_to_pandas(ed_series).values
, but beware this will scan/scroll the entire Elasticsearch index(s) into memory.See Also#
pandas.DataFrame.to_numpy eland_to_pandas
Examples#
>>> ed_s = ed.Series('http://localhost:9200', 'flights', name='Carrier').head(5) >>> pd_s = ed.eland_to_pandas(ed_s) >>> print(f"type(ed_s)={type(ed_s)}\ntype(pd_s)={type(pd_s)}") type(ed_s)=<class 'eland.series.Series'> type(pd_s)=<class 'pandas.core.series.Series'> >>> ed_s 0 Kibana Airlines 1 Logstash Airways 2 Logstash Airways 3 Kibana Airlines 4 Kibana Airlines Name: Carrier, dtype: object >>> pd_s.to_numpy() array(['Kibana Airlines', 'Logstash Airways', 'Logstash Airways', 'Kibana Airlines', 'Kibana Airlines'], dtype=object)