code: def execute_and_reset(
      expr, params=None, scope=None, aggcontext=None, **kwargs
  ):
      
      result = execute(
          expr, params=params, scope=scope, aggcontext=aggcontext, **kwargs
      )
      if isinstance(result, pd.DataFrame):
          schema = expr.schema()
          df = result.reset_index()
          return df.loc[:, schema.names]
      elif isinstance(result, pd.Series):
          return result.reset_index(drop=True)
      return result
docs: Execute an expression against data that are bound to it. If no data
      are bound, raise an Exception.
  
      Notes
      -----
      The difference between this function and :func:`~ibis.pandas.core.execute`
      is that this function resets the index of the result, if the result has
      an index.
  
      Parameters
      ----------
      expr : ibis.expr.types.Expr
          The expression to execute
      params : Mapping[ibis.expr.types.Expr, object]
          The data that an unbound parameter in `expr` maps to
      scope : Mapping[ibis.expr.operations.Node, object]
          Additional scope, mapping ibis operations to data
      aggcontext : Optional[ibis.pandas.aggcontext.AggregationContext]
          An object indicating how to compute aggregations. For example,
          a rolling mean needs to be computed differently than the mean of a
          column.
      kwargs : Dict[str, object]
          Additional arguments that can potentially be used by individual node
          execution
  
      Returns
      -------
      result : Union[
          pandas.Series, pandas.DataFrame, ibis.pandas.core.simple_types
      ]
  
      Raises
      ------
      ValueError
          * If no data are bound to the input expression