xarray.core.rolling_exp.RollingExp

class xarray.core.rolling_exp.RollingExp(obj, windows, window_type='span', min_weight=0.0)

Exponentially-weighted moving window object. Similar to EWM in pandas

Parameters

• obj (Dataset or DataArray) – Object to window.

• windows (mapping of hashable to int (or float for alpha type)) – A mapping from the name of the dimension to create the rolling exponential window along (e.g. time) to the size of the moving window.

• window_type ({"span", "com", "halflife", "alpha"}, default: "span") – The format of the previously supplied window. Each is a simple numerical transformation of the others. Described in detail: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.ewm.html

Returns

RollingExp (type of input argument)

__init__(obj, windows, window_type='span', min_weight=0.0)

Methods

__init__(obj, windows[, window_type, min_weight])
corr(other)	Exponentially weighted moving correlation.
cov(other)	Exponentially weighted moving covariance.
mean([keep_attrs])	Exponentially weighted moving average.
std()	Exponentially weighted moving standard deviation.
sum([keep_attrs])	Exponentially weighted moving sum.
var()	Exponentially weighted moving variance.