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6.1.3.2.3.1. supy.util.fill_gap_all#
- supy.util.fill_gap_all(ser_to_fill: Series, freq='1D', limit_fill=1, thresh_ratio=0.8) Series [source]#
Fill all gaps in a time series using data from neighbouring divisions of ‘freq’
6.1.3.2.3.1. Parameters#
- ser_to_fillpd.Series
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.
6.1.3.2.3.1. Returns#
- ser_test_filled: pd.Series
Gap-filled time series.
6.1.3.2.3.1. Patterns#
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