def _make_table(self, ax, df, title, height=None):
        if df is None:
            ax.set_visible(False)
            return

        import pandas.tools.plotting as plotting

        idx_nlevels = df.index.nlevels
        col_nlevels = df.columns.nlevels
        # must be convert here to get index levels for colorization
        df = self._insert_index(df)
        tb = plotting.table(ax, df, loc=9)
        tb.set_fontsize(self.font_size)

        if height is None:
            height = 1.0 / (len(df) + 1)

        props = tb.properties()
        for (r, c), cell in compat.iteritems(props['celld']):
            if c == -1:
                cell.set_visible(False)
            elif r < col_nlevels and c < idx_nlevels:
                cell.set_visible(False)
            elif r < col_nlevels or idx_nlevels < c:
                cell.set_facecolor('#AAAAAA')
            cell.set_height(height)

        ax.set_title(title, size=self.font_size)
        ax.axis('off')
dataset/ETHPy150Open pydata/pandas/pandas/util/doctools.py/TablePlotter._make_table/swapped operands of `<`