timflow.steady.well.HeadWell.plotcapzone ======================================== .. py:method:: timflow.steady.well.HeadWell.plotcapzone(nt=10, zstart=None, hstepmax=20, vstepfrac=0.2, tmax=365, nstepmax=100, silent='.', color=None, orientation='hor', win=None, ax=None, figsize=None, *, return_traces=False, metadata=False) Plot a capture zone. :param nt: number of path lines :type nt: int :param zstart: starting elevation of the path lines :type zstart: scalar :param hstepmax: maximum step in horizontal space :type hstepmax: scalar :param vstepfrac: maximum fraction of aquifer layer thickness during one step :type vstepfrac: float :param tmax: maximum time :type tmax: scalar :param nstepmax: maximum number of steps :type nstepmax: scalar(int) :param silent: True (no messages), False (all messages), or '.' (print dot for each path line) :type silent: boolean or string :param color: :type color: color :param orientation: 'hor' for horizontal, 'ver' for vertical, or 'both' for both :type orientation: string :param win: [xmin, xmax, ymin, ymax] :type win: array_like (length 4) :param axes: axes to plot on, default is None which creates a new figure :type axes: matplotlib.Axes, tuple of 2 matplotlib.Axes, or None :param figsize: width, height in inches. :type figsize: tuple of integers, optional, default: None :param return_traces: return the traces instead of plotting :type return_traces: boolean (default False) :param metadata: return metadata along with traces :type metadata: boolean (default False) :returns: * **ax** (*matplotlib.Axes*) -- axes with plot * **traces** (*list of arrays of x, y, z, and t values*) -- only if return_traces is True .. !! processed by numpydoc !!