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pandas.Series.asfreq
Series.asfreq(freq, method=None, how=None, normalize=False)
[source]-
Convert TimeSeries to specified frequency.
Optionally provide filling method to pad/backfill missing values.
Parameters: freq : DateOffset object, or string
method : {‘backfill’/’bfill’, ‘pad’/’ffill’}, default None
Method to use for filling holes in reindexed Series (note this does not fill NaNs that already were present):
- ‘pad’ / ‘ffill’: propagate last valid observation forward to next valid
- ‘backfill’ / ‘bfill’: use NEXT valid observation to fill
how : {‘start’, ‘end’}, default end
For PeriodIndex only, see PeriodIndex.asfreq
normalize : bool, default False
Whether to reset output index to midnight
Returns: converted : type of caller
Notes
To learn more about the frequency strings, please see this link.
© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.Series.asfreq.html