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6.3.2.3. supy.util.fill_gap_all

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’

Parameters:

• ser_to_fill (pandas.Series) – Time series to gap-fill

• freq (str, 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.

• thresh_ratio (float, optional) – Threshold ratio for gap filling, by default 0.8

Returns:

• pandas.Series – Gap-filled time series.

• 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)