Pandas DataFrame: asfreq() function

Last update on August 19 2022 21:50:51 (UTC/GMT +8 hours)

DataFrame - asfreq() function

The asfreq() function is used to convert TimeSeries to specified frequency.

Syntax:

DataFrame.asfreq(self, freq, method=None, how=None, normalize=False, fill_value=None)

Parameters:

Name	Description	Type / Default Value	Required / Optional
freq		DateOffset object, or string	Required
method	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	{‘backfill’/’bfill’, ‘pad’/’ffill’} Default Value: None	Required
how	For PeriodIndex only, see PeriodIndex.asfreq	{‘start’, ‘end’} Default Value: end	Required
normalize	Whether to reset output index to midnight	bool Default Value: False	Required
fill_value	Value to use for missing values, applied during upsampling (note this does not fill NaNs that already were present).	scalar	Optional

Returns: converted - same type as caller

Example:

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