- supy.util.fill_gap_all(ser_to_fill: Series, freq='1D', limit_fill=1, thresh_ratio=0.8) Series #
Fill all gaps in a time series using data from neighbouring divisions of ‘freq’
Time series to gap-fill
- freqstr, optional
Frequency to identify gapped divisions, by default ‘1D’
- limit_fill: int, optional
Maximum number of consecutive NaNs to fill. Any number less than one means no pre-gap-filling interpolation will be done.
- ser_test_filled: pd.Series
Gap-filled time series.
010: missing data in division between others with no missing data 01: missing data in division after one with no missing data 10: division with missing data before one with no missing data