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

Resampler.asfreq(fill_value: Optional[Any] = None) → Union[DataFrame, Series][source] (https://github.com/snowflakedb/snowpark-python/blob/v1.26.0/snowpark-python/src/snowflake/snowpark/modin/plugin/extensions/resample_overrides.py#L298-L317)

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
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