pencil.calc.Gaussian_averages
=============================

.. py:module:: pencil.calc.Gaussian_averages

.. autoapi-nested-parse::

   Derive auxilliary data and other diagnostics from var.h5 file and
   save to new h5 file

   uses:
     compute 'data' arrays of size [nz,ny,nx] as required
     store 'time' of snapshot
     compute 'masks' for example by temperature phase
     compute summary statistics 'stats'
     compute 'structure' functions as required



Functions
---------

.. autoapisummary::

   pencil.calc.Gaussian_averages.kernel_smooth
   pencil.calc.Gaussian_averages.load_dataset
   pencil.calc.Gaussian_averages.gauss_3Dsmooth
   pencil.calc.Gaussian_averages.smoothed_data


Module Contents
---------------

.. py:function:: kernel_smooth(sim_path, src, dst, magic=['meanuu'], par=[], comm=None, gd=[], grp_overwrite=False, overwrite=False, rank=0, size=1, nghost=3, kernel=1.0, status='a', chunksize=1000.0, dtype=np.float64, quiet=True, nmin=32, typ='piecewise', mode=list())

.. py:function:: load_dataset(src, key, lindx, lindy, lindz, nghost)

.. py:function:: gauss_3Dsmooth(arr, sigma=1.0, typ='all', quiet=True, mode=list())

.. py:function:: smoothed_data(src, dst, key, par, gd, lindx, lindy, lindz, nghost, sigma, typ, quiet, mode)