Skip to main content

RollingQuantile

RollingQuantile(p, window_size, min_samples=None)
Bases: _RollingBase Rolling statistic

RollingMax

Bases: _RollingBase Rolling statistic

RollingMin

Bases: _RollingBase Rolling statistic

RollingStd

Bases: _RollingBase Rolling statistic

RollingMean

Bases: _RollingBase Rolling statistic

SeasonalRollingQuantile

SeasonalRollingQuantile(p, season_length, window_size, min_samples=None)
Bases: _Seasonal_RollingBase Rolling statistic over seasonal periods

SeasonalRollingMax

Bases: _Seasonal_RollingBase Rolling statistic over seasonal periods

SeasonalRollingMin

Bases: _Seasonal_RollingBase Rolling statistic over seasonal periods

SeasonalRollingStd

Bases: _Seasonal_RollingBase Rolling statistic over seasonal periods

SeasonalRollingMean

Bases: _Seasonal_RollingBase Rolling statistic over seasonal periods

ExpandingQuantile

ExpandingQuantile(p)
Bases: _ExpandingBase Expanding statistic

ExpandingMax

Bases: _ExpandingBase Expanding statistic

ExpandingMin

Bases: _ExpandingBase Expanding statistic

ExpandingStd

Bases: _ExpandingBase Expanding statistic

ExpandingMean

Bases: _ExpandingBase Expanding statistic

ExponentiallyWeightedMean

ExponentiallyWeightedMean(alpha)
Bases: _BaseLagTransform Exponentially weighted average Parameters:
NameTypeDescriptionDefault
alphafloatSmoothing factor.required

Offset

Offset(tfm, n)
Bases: _BaseLagTransform Shift series before computing transformation Parameters:
NameTypeDescriptionDefault
tfmLagTransformTransformation to be appliedrequired
nintNumber of positions to shift (lag) series before applying the transformationrequired

Combine

Combine(tfm1, tfm2, operator)
Bases: _BaseLagTransform Combine two lag transformations using an operator Parameters:
NameTypeDescriptionDefault
tfm1LagTransformFirst transformation.required
tfm2LagTransformSecond transformation.required
operatorcallableBinary operator that defines how to combine the two transformations.required