metobs_toolkit.sensordata.SensorData.resample#

SensorData.resample(target_freq: str | Timedelta, shift_tolerance: Timedelta = Timedelta('0 days 00:04:00'), origin=None, origin_simplify_tolerance: Timedelta = Timedelta('0 days 00:04:00')) → None[source]#

Resample to a new time resolution.

All observational records, outliers, and gaps are resampled to a new target frequency. Each present timestamp is mapped to a target timestamp, present at the timeseries of target_freq, respecting a maximum shift set by the shift_tolerance.

A new origin (start timestamp) can be set by the argument, or it can be deduced from the current present origin.

Parameters:

  • target_freq (str or pandas.Timedelta) – The target frequency to coarsen all records to.

  • shift_tolerance (pandas.Timedelta, optional) – The maximum translation (in time) to map a timestamp to a target timestamp.

  • origin (datetime.datetime, optional) – Define the origin (first timestamp) for the observations.

  • origin_simplify_tolerance (pandas.Timedelta, optional) – Tolerance for origin simplification.

Warning

Since the gaps depend on the record’s frequency and origin, all gaps are removed and re-located. All progress in gap filling will be lost.

Note

It is technically possible to increase the time resolution. This will not result in an information increase; more gaps are created instead.

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