pastas.timeseries_utils

This module contains utility functions for working with time series.

Functions

get_equidistant_series_nearest	Get equidistant time series using nearest reindexing.
get_sample	Sample the index so that the frequency is not higher than the frequency of ref_tindex.
pandas_equidistant_asfreq	Create equidistant time series by rounding timestamps and dropping duplicates.
pandas_equidistant_nearest	Create equidistant time series using pandas.reindex with method='nearest'.
pandas_equidistant_sample	Create equidistant time series creating a new DateTimeIndex with pandas.reindex.
resample	Resample time-series data.
timestep_weighted_resample	Resample a time series to a new time index, using an overlapping period weighted average.