def plot(self, left, right, labels=None, vertical=True):
        """
        Plot left / right DataFrames in specified layout.

        Parameters
        ----------
        left : list of DataFrames before operation is applied
        right : DataFrame of operation result
        labels : list of str to be drawn as titles of left DataFrames
        vertical : bool
            If True, use vertical layout. If False, use horizontal layout.
        """
        import matplotlib.pyplot as plt
        import matplotlib.gridspec as gridspec

        if not isinstance(left, list):
            left = [left]
        left = [self._conv(l) for l in left]
        right = self._conv(right)

        hcells, vcells = self._get_cells(left, right, vertical)

        if vertical:
            figsize = self.cell_width * hcells, self.cell_height * vcells
        else:
            # include margin for titles
            figsize = self.cell_width * hcells, self.cell_height * vcells
        fig = plt.figure(figsize=figsize)

        if vertical:
            gs = gridspec.GridSpec(len(left), hcells)
            # left
            max_left_cols = max([self._shape(l)[1] for l in left])
            max_left_rows = max([self._shape(l)[0] for l in left])
            for i, (l, label) in enumerate(zip(left, labels)):
                ax = fig.add_subplot(gs[i, 0:max_left_cols])
                self._make_table(ax, l, title=label,
                                 height=1.0 / max_left_rows)
            # right
            ax = plt.subplot(gs[:, max_left_cols:])
            self._make_table(ax, right, title='Result', height=1.05 / vcells)
            fig.subplots_adjust(top=0.9, bottom=0.05, left=0.05, right=0.95)
        else:
            max_rows = max([self._shape(df)[0] for df in left + [right]])
            height = 1.0 / np.max(max_rows)
            gs = gridspec.GridSpec(1, hcells)
            # left
            i = 0
            for l, label in zip(left, labels):
                sp = self._shape(l)
                ax = fig.add_subplot(gs[0, i:i + sp[1]])
                self._make_table(ax, l, title=label, height=height)
                i += sp[1]
            # right
            ax = plt.subplot(gs[0, i:])
            self._make_table(ax, right, title='Result', height=height)
            fig.subplots_adjust(top=0.85, bottom=0.05, left=0.05, right=0.95)

        return fig
dataset/ETHPy150Open pydata/pandas/pandas/util/doctools.py/TablePlotter.plot/original