timflow.transient.model.ModelMaq.headgrid2
==========================================

.. py:method:: timflow.transient.model.ModelMaq.headgrid2(x1, x2, nx, y1, y2, ny, t, layers=None, show_progress=False, printrow=False, parallel=False)

   
   Grid of heads.

   :param xg: x values are generated as linspace(x1, x2, nx)
   :type xg: array
   :param yg: y values are generated as linspace(y1, y2, ny)
   :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 multi threading,
                    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: boolean, optional

   :returns: **h**
   :rtype: array size `nlayers, ntimes, ny, nx`

   .. seealso:: :func:`~timflow.transient.Model.headgrid`















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