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supy.util.fill_gap_all

supy.util.fill_gap_all(ser_to_fill: pandas.core.series.Series, freq='1D') → pandas.core.series.Series

Fill all gaps in a time series using data from neighbouring divisions of ‘freq’

Parameters:

• ser_to_fill (pd.Series) – Time series to gap-fill
• freq (str, optional) – Frequency to identify gapped divisions, by default ‘1D’

Returns:

• ser_test_filled (pd.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)