tut_adv.rst

Advanced Variable Operations

.. currentmodule:: pygeode

Climatological statistics

A variety of time averaging operations are possible. In addition to computing climatologies, one can compute monthly means, daily means, diurnal means, and trends. These should generally work as expected; however, PyGeode also implements special mapping rules for time axes so that anomalies from these time averages can be easily defined. In general these are based on the

A common operation is to compute climatologies. As described in the first of these tutorials this is simply performed as follows

.. ipython::

  @suppress
  In [0]: import pygeode as pyg

  In [10]: from pygeode.tutorial import t2

  In [10]: Tc = pyg.climatology(t2.Temp)    # Compute the climatology

Time averaging

Other Operations

EOFs, correlation, and regression analysis

include lag correlation

Integration, Differentiation, Interpolation and Smoothing

Some examples of numerical integration using :func:`Var.integrate()` can be found in :ref:`sphx_glr_gallery_line_plot_showlines.py`

Numerical integration, differentiation Composites ..........