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How to use the pandasticsearch.queries.Agg.from_dict function in pandasticsearch

To help you get started, we’ve selected a few pandasticsearch examples, based on popular ways it is used in public projects.

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onesuper / pandasticsearch / pandasticsearch / dataframe.py View on Github

def _execute(self):
        if self._client is None:
            raise _unbound_index_err

        res_dict = self._client.post(data=self._build_query())
        if self._aggregation is None and self._groupby is None:
            query = Select()
            query.explain_result(res_dict)
        else:
            query = Agg.from_dict(res_dict)
        return query

onesuper / pandasticsearch / pandasticsearch / api.py View on Github

def aggregate(self, *args):
        query = self._build_query(aggs=args, filter=self._filter, size=0)
        return Agg.from_dict(self._client.post(data=query))