EWM (Exponentially Weighted Moving)
====================================

.. currentmodule:: pandasCore

Exponentially weighted moving window operations.

Example
-------

.. code-block:: python

   import pandasCore as pd

   s = pd.Series([1, 2, 3, 4, 5])
   s.ewm(span=3).mean()  # Exponentially weighted moving average

Parameters
----------

.. list-table::
   :widths: 15 10 10 65
   :header-rows: 1

   * - Parameter
     - Type
     - Default
     - Description
   * - com
     - float
     - None
     - Center of mass
   * - span
     - float
     - None
     - Span
   * - halflife
     - float
     - None
     - Half-life
   * - alpha
     - float
     - None
     - Smoothing factor
   * - min_periods
     - int
     - 0
     - Minimum observations
   * - adjust
     - bool
     - True
     - Adjust weights
   * - ignore_na
     - bool
     - False
     - Ignore NA values
   * - axis
     - int
     - 0
     - Axis

Methods
-------

.. list-table::
   :widths: 20 80
   :header-rows: 1

   * - Method
     - Description
   * - mean()
     - Exponentially weighted mean
   * - std()
     - Exponentially weighted std
   * - var()
     - Exponentially weighted var
   * - corr()
     - Exponentially weighted corr
   * - cov()
     - Exponentially weighted cov