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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def where(self, column_or_label, value_or_predicate=None, other=None):
 """ Return a new ``Table`` containing rows where ``value_or_predicate`` returns True for values in ``column_or_label``. Args: ``column_or_label``: A column of the ``Table`` either as a label (``str``) or an index (``int``). Can also be an array of booleans; only the rows where the array value is ``True`` are kept. ``value_or_predicate``: If a function, it is applied to every value in ``column_or_label``. Only the rows where ``value_or_predicate`` returns True are kept. If a single value, only the rows where the values in ``column_or_label`` are equal to ``value_or_predicate`` are kept. ``other``: Optional additional column label for ``value_or_predicate`` to make pairwise comparisons. See the examples below for usage. When ``other`` is supplied, ``value_or_predicate`` must be a callable function. Returns: If ``value_or_predicate`` is a function, returns a new ``Table`` containing only the rows where ``value_or_predicate(val)`` is True for the ``val``s in ``column_or_label``. If ``value_or_predicate`` is a value, returns a new ``Table`` containing only the rows where the values in ``column_or_label`` are equal to ``value_or_predicate``. If ``column_or_label`` is an array of booleans, returns a new ``Table`` containing only the rows where ``column_or_label`` is ``True``. Color | Shape | Amount | Price Red | Round | 4 | 1.3 Green | Rectangular | 6 | 1.2 Blue | Rectangular | 12 | 2 Red | Round | 7 | 1.75 Green | Rectangular | 9 | 0 Green | Round | 2 | 3 Use a value to select matching rows Color | Shape | Amount | Price Red | Round | 4 | 1.3 In general, a higher order predicate function such as the functions in ``datascience.predicates.are`` can be used. Color | Shape | Amount | Price Red | Round | 4 | 1.3 Color | Shape | Amount | Price Blue | Rectangular | 12 | 2 Red | Round | 7 | 1.75 Green | Round | 2 | 3 Use the optional argument ``other`` to apply predicates to compare columns. Color | Shape | Amount | Price Green | Round | 2 | 3 Color | Shape | Amount | Price """

        column = self._get_column(column_or_label)
        if other is not None:
            assert callable(value_or_predicate), "Predicate required for 3-arg where"
            predicate = value_or_predicate
            other = self._get_column(other)
            column = [predicate(y)(x) for x, y in zip(column, other)]
        elif value_or_predicate is not None:
            if not callable(value_or_predicate):
                predicate = _predicates.are.equal_to(value_or_predicate)
            else:
                predicate = value_or_predicate
            column = [predicate(x) for x in column]
        return self.take(np.nonzero(column)[0])