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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 join(self, other, how='left', lsuffix='', rsuffix=''):
 """ Join items with other Panel either on major and minor axes column. Parameters other : Panel or list of Panels Index should be similar to one of the columns in this one how : {'left', 'right', 'outer', 'inner'} How to handle indexes of the two objects. Default: 'left' for joining on index, None otherwise * left: use calling frame's index * right: use input frame's index * outer: form union of indexes * inner: use intersection of indexes lsuffix : string Suffix to use from left frame's overlapping columns rsuffix : string Suffix to use from right frame's overlapping columns Returns ------- joined : Panel """

        from pandas.core.reshape.concat import concat

        if isinstance(other, Panel):
            join_major, join_minor = self._get_join_index(other, how)
            this = self.reindex(major=join_major, minor=join_minor)
            other = other.reindex(major=join_major, minor=join_minor)
            merged_data = this._data.merge(other._data, lsuffix, rsuffix)
            return self._constructor(merged_data)
        else:
            if lsuffix or rsuffix:
                raise ValueError('Suffixes not supported when passing '
                                 'multiple panels')

            if how == 'left':
                how = 'outer'
                join_axes = [self.major_axis, self.minor_axis]
            elif how == 'right':
                raise ValueError('Right join not supported with multiple '
                                 'panels')
            else:
                join_axes = None

            return concat([self] + list(other), axis=0, join=how,
                          join_axes=join_axes, verify_integrity=True)