pvanalytics.quality.gaps.completeness_score#
- pvanalytics.quality.gaps.completeness_score(series, keep_index=True)#
Calculate a data completeness score for each day.
The completeness score for a given day is the fraction of time in the day for which there is data (a value other than NaN). For example, a 24-hour time series with 30 minute timestamp spacing and 24 non-NaN values would have data for a total of 12 hours and therefore a completeness score of 0.5.
- Parameters
series (Series) – A DatetimeIndexed series.
keep_index (boolean, default True) – Whether or not the returned series has the same index as series. If False the returned series will be indexed by day.
- Returns
A series of floats giving the completeness score for each day (fraction of the day for which series has data).
- Return type
Series
