pandas.core.resample.Resampler.asfreq — pandas 3.0.0.dev0+2104.ge637b4290d 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