snowflake.snowpark.modin.plugin.extensions.resample_overrides.Resampler.asfreq¶

Resampler.asfreq(fill_value: Optional[Any] = None) → Union[DataFrame, Series][source]¶

Return the values at the new freq, essentially a reindex.

Parameters:: fill_value (scalar, optional) – This parameter is not supported and will raise NotImplementedError.
Returns:: Values at the specified freq.
Return type:: Series or DataFrame

See also

Series.asfreq: Convert TimeSeries to specified frequency.
DataFrame.asfreq: Convert TimeSeries to specified frequency.

Examples

>>> s = pd.Series([1, 2, 3], index=pd.date_range('20180101', periods=3, freq='h'))
>>> s
2018-01-01 00:00:00    1
2018-01-01 01:00:00    2
2018-01-01 02:00:00    3
Freq: None, dtype: int64
>>> s.resample("30min").asfreq()
2018-01-01 00:00:00    1.0
2018-01-01 00:30:00    NaN
2018-01-01 01:00:00    2.0
2018-01-01 01:30:00    NaN
2018-01-01 02:00:00    3.0
Freq: None, dtype: float64
>>> s.resample("2h").asfreq()
2018-01-01 00:00:00    1
2018-01-01 02:00:00    3
Freq: None, dtype: int64