timeseries_utils

Utility functions for working with time series.

Functions

get_sample(→ pandas.DatetimeIndex)	Sample the index of a pandas Series or DataFrame so that the frequency is not higher than the frequency of ref_tindex.
get_sample_for_freq([series, freq, tmin, tmax])	Sample a pandas Series or DataFrame so that the frequency is not higher than a supplied frequency.
timestep_weighted_resample(→ pandas.Series)	Resample a time series to a new time index, using an overlapping period weighted average.
time_weighted_resample(s, index[, method, ...])	Time-weighted resampling of a time series to arbitrary periods.
get_equidistant_series_nearest(→ pandas.Series)	Get equidistant time series using nearest reindexing.
pandas_equidistant_sample(→ pandas.Series)	Create equidistant time series creating a new DateTimeIndex with pandas.reindex.
pandas_equidistant_nearest(→ pandas.Series)	Create equidistant time series using pandas.reindex with method='nearest'.
pandas_equidistant_asfreq(→ pandas.Series)	Create equidistant time series by rounding timestamps and dropping duplicates.
resample(→ pandas.core.resample.Resampler)	Resample time-series data.