Data Preparation

Clean, transform, and prepare your time series data for forecasting.

Categories

Gap Filling

Fill missing timestamps in time series

fill_gapsfill_forward+1 more

Series Filtering

Remove constant or short series

drop_constantdrop_short

Edge Cleaning

Remove leading/trailing zeros

drop_leading_zerosdrop_trailing_zeros+1 more

Imputation

Fill missing values and transform data

fill_nulls_*diff

All Functions

All CategoryEdge CleaningFilteringGap FillingImputation

Function	Category	Description
anofox_fcst_ts_fill_gaps	Gap Filling	Fill missing timestamps with NULL values
anofox_fcst_ts_fill_gaps_operator	Gap Filling	High-performance C++ gap filling
anofox_fcst_ts_fill_forward	Gap Filling	Extend series to target date
anofox_fcst_ts_drop_constant	Filtering	Remove series with no variation
anofox_fcst_ts_drop_short	Filtering	Remove series below minimum length
anofox_fcst_ts_drop_leading_zeros	Edge Cleaning	Remove initial zero values
anofox_fcst_ts_drop_trailing_zeros	Edge Cleaning	Remove trailing zero values
anofox_fcst_ts_drop_edge_zeros	Edge Cleaning	Remove both leading and trailing zeros
anofox_fcst_ts_fill_nulls_const	Imputation	Replace NULLs with constant value
anofox_fcst_ts_fill_nulls_forward	Imputation	Forward fill (LOCF)
anofox_fcst_ts_fill_nulls_backward	Imputation	Backward fill (NOCB)
anofox_fcst_ts_fill_nulls_mean	Imputation	Fill with series mean
anofox_fcst_ts_diff	Imputation	Differencing transformation

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