timflow.transient.model.Model3D.headgrid ======================================== .. py:method:: timflow.transient.model.Model3D.headgrid(xg, yg, t, layers=None, printrow=False, show_progress=False, parallel=False) Grid of heads. :param xg: x values of grid :type xg: array :param yg: y values of grid :type yg: array :param t: times for which grid is returned :type t: list or array :param layers: layers for which grid is returned :type layers: integer, list or array, optional :param show_progress: show computation progress, by printing dots per row or with tqdm progressbar when parallel is True. Default is False. :type show_progress: bool :param parallel: if `True`, computes headgrid in parallel using multithreading, by default `False` :type parallel: bool, optional :param printrow: .. deprecated:: 0.2.0 prints dot to screen for each row of grid if set to `True` :type printrow: bool, optional :returns: **h** :rtype: array size `nlayers, ntimes, ny, nx` .. seealso:: :func:`~timflow.transient.Model.headgrid2` .. !! processed by numpydoc !!