timflow.steady.plots.PlotSteady.tracelines ========================================== .. py:method:: timflow.steady.plots.PlotSteady.tracelines(xstart, ystart, zstart, hstepmax, vstepfrac=0.2, tmax=1000000000000.0, nstepmax=100, silent='.', color=None, orientation: Literal['hor', 'ver', 'both'] = 'hor', win=None, ax=None, figsize=None, *, return_traces=False, metadata=False) Function to trace multiple pathlines. :param ml: model to which the element is added :type ml: Model object :param xstart: x-coordinates of starting locations :type xstart: array :param ystart: y-coordinates of starting locations :type ystart: array :param zstart: z-coordinates of starting locations :type zstart: array :param hstepmax: maximum horizontal step size [L] :type hstepmax: scalar :param vstepfrac: maximum vertical step as fraction of layer thickness :type vstepfrac: scalar :param tmax: maximum travel time :type tmax: scalar :param nstepmax: maximum number of steps :type nstepmax: int :param silent: if '.', prints dot upon completion of each traceline :type silent: string :param color: matplotlib color of traceline :type color: string :param orientation: 'hor' for horizontal, 'ver' for vertical 'both' for horizontal above vertical :type orientation: ('hor', 'ver', 'both') :param win: list with [xmin, xmax, ymin, ymax] :type win: list :param ax: axes to plot on, default is None which creates a new figure :type ax: matplotlib.Axes or list of Axes :param return_traces: return traces if True :type return_traces: boolean :param metadata: if False, return list of xyzt arrays if True, return list of result dictionaries :type metadata: boolean :returns: * **ax** (*matplotlib.Axes or list of Axes*) -- axes with plot * **traces** (*result*) -- only if return_traces = True .. !! processed by numpydoc !!