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):
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 |
To learn more about the frequency strings, please see this link.
© 2011–2012 Lambda Foundry, Inc. and PyData Development Team
© 2008–2011 AQR Capital Management, LLC
© 2008–2014 the pandas development team
Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.Series.asfreq.html