pandas.core.resample.Resampler.asfreq — pandas 2.2.3 documentation (original) (raw)

final Resampler.asfreq(fill_value=None)[source]#

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

Parameters:

fill_valuescalar, optional

Value to use for missing values, applied during upsampling (note this does not fill NaNs that already were present).

Returns:

DataFrame or Series

Values at the specified freq.

See also

Series.asfreq

Convert TimeSeries to specified frequency.

DataFrame.asfreq

Convert TimeSeries to specified frequency.

Examples

ser = pd.Series([1, 2, 3, 4], index=pd.DatetimeIndex( ... ['2023-01-01', '2023-01-31', '2023-02-01', '2023-02-28'])) ser 2023-01-01 1 2023-01-31 2 2023-02-01 3 2023-02-28 4 dtype: int64 ser.resample('MS').asfreq() 2023-01-01 1 2023-02-01 3 Freq: MS, dtype: int64