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@@ -143,4 +143,63 @@ Big fan of Pandas? We too! You can mix SQL and Pandas API together. Also you can
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print(cur.pl()) # Polars DataFrame
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cur.execute('SELECT * FROM table(test)')
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print(cur.arrow()) # Arrow Table
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print(cur.arrow()) # Arrow Table
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Json Type
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------------
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You can control named tuple and nested types deserialization by setting ``namedtuple_as_json``.To interpret these columns (i.e. named tuple, nested) as a json set ``namedtuple_as_json`` to ``True``
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