Struct DataFrameEwm 

pub struct DataFrameEwm<'a> { /* private fields */ }

Exponentially weighted moving window over a DataFrame’s numeric columns.

Created by DataFrame::ewm(). Applies EWM to each numeric column.

Implementations

impl DataFrameEwm<'_>

pub fn mean(&self) -> Result<DataFrame, FrameError>

EWM mean across all numeric columns.

pub fn std(&self) -> Result<DataFrame, FrameError>

EWM standard deviation across all numeric columns.

pub fn var(&self) -> Result<DataFrame, FrameError>

EWM variance across all numeric columns.

pub fn sum(&self) -> Result<DataFrame, FrameError>

EWM weighted sum across all numeric columns.

Matches pd.DataFrame.ewm(span=...).sum(). Non-numeric columns are skipped (same policy as the existing mean/std/var reducers).

pub fn agg(&self, funcs: &[&str]) -> Result<DataFrame, FrameError>

Aggregate each numeric column with multiple EWM functions.

Matches df.ewm(span=...).agg(['mean', 'sum']). Output columns are named {column}_{function}.

pub fn aggregate(&self, funcs: &[&str]) -> Result<DataFrame, FrameError>

pandas alias for Self::agg.

pub fn exclusions(&self) -> Vec<String>

Frozenset-style label set excluded from this EWM window.

DataFrame EWM currently processes all numeric columns and excludes no labels.

pub fn ndim(&self) -> usize

Number of dimensions of the underlying object. DataFrame EWM is 2D.