pandas.core.resample.Resampler.asfreq#
- 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