How to use the pandasticsearch.queries.Select.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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github onesuper / pandasticsearch / tests / test_queries.py View on Github external
def test_select_from_dict(self):
        select = Select.from_dict(create_hits())
        print(select)
        print(repr(select))

        self.assertIsNotNone(select.result)
        self.assertEqual(len(select), 3)
github onesuper / pandasticsearch / tests / test_queries.py View on Github external
def test_select_result(self):
        select = Select.from_dict(create_hits())
        print(select.result)

        self.assertIsNotNone(select.result)
        self.assertEqual(len(select.result[0]), 2)
github onesuper / pandasticsearch / tests / test_queries.py View on Github external
def test_select_result(self):
        select = Select.from_dict(create_hits())
        print(select.result)

        self.assertIsNotNone(select.result)
        self.assertEqual(len(select.result[0]), 2)
github onesuper / pandasticsearch / tests / test_queries.py View on Github external
def test_select_from_dict(self):
        select = Select.from_dict(create_hits())
        print(select)
        print(repr(select))

        self.assertIsNotNone(select.result)
        self.assertEqual(len(select), 3)
github onesuper / pandasticsearch / pandasticsearch / api.py View on Github external
def show(self, size=10):
        query = self._build_query(filter=self._filter, size=size)
        return Select.from_dict(self._client.post(data=query))