timflow.transient.plots.PlotTransient.topview_and_xsection ========================================================== .. py:method:: timflow.transient.plots.PlotTransient.topview_and_xsection(win=None, axes=None, figsize=None, topfigfrac=0.8, layers=None, horizontal_axis: Literal['x', 'y'] = 'x', **xsection_kwargs) Plot top-view above and cross-section below. This method plots the top-view and cross-section side by side in a single figure. :param win: [x1, x2, y1, y2] :type win: list or tuple :param axes: axes to plot on, default is None which creates a new figure :type axes: list of matplotlib.Axes, optional :param figsize: size of figure :type figsize: tuple of 2 values :param topfigfrac: fraction of figure width for top-view plot :type topfigfrac: float :param layers: layers to plot, default is None which plots elements in all layers :type layers: int or list of ints, optional :param horizontal_axis: 'x' for using x-coordinates on x-axis 'y' for using y-coordinates on x-axis :type horizontal_axis: str :param \*\*xsection_kwargs: additional keyword arguments passed to xsection() :type \*\*xsection_kwargs: dict :returns: **axes** -- axes with plots [topview_ax, xsection_ax] :rtype: list of matplotlib.Axes .. !! processed by numpydoc !!