Resampling

Resampler objects are returned by resample calls: pandas.DataFrame.resample(), pandas.Series.resample().

Indexing, iteration

`Resampler.__iter__`()	Resampler iterator.
`Resampler.groups`	Dict {group name -> group labels}.
`Resampler.indices`	Dict {group name -> group indices}.
`Resampler.get_group`(name[, obj])	Constructs NDFrame from group with provided name.

Function application

`Resampler.apply`(func, args, *kwargs)	Aggregate using one or more operations over the specified axis.
`Resampler.aggregate`(func, args, *kwargs)	Aggregate using one or more operations over the specified axis.
`Resampler.transform`(arg, args, *kwargs)	Call function producing a like-indexed Series on each group and return a Series with the transformed values.
`Resampler.pipe`(func, args, *kwargs)	Apply a function `func` with arguments to this Resampler object and return the function’s result.

Upsampling

`Resampler.ffill`([limit])	Forward fill the values.
`Resampler.backfill`([limit])	Backward fill the new missing values in the resampled data.
`Resampler.bfill`([limit])	Backward fill the new missing values in the resampled data.
`Resampler.pad`([limit])	Forward fill the values.
`Resampler.nearest`([limit])	Resample by using the nearest value.
`Resampler.fillna`(method[, limit])	Fill missing values introduced by upsampling.
`Resampler.asfreq`([fill_value])	Return the values at the new freq, essentially a reindex.
`Resampler.interpolate`([method, axis, limit, …])	Interpolate values according to different methods.

Computations / Descriptive Stats

`Resampler.count`([_method])	Compute count of group, excluding missing values.
`Resampler.nunique`([_method])	Returns number of unique elements in the group
`Resampler.first`([_method])	Compute first of group values See Also ——– pandas.Series.groupby pandas.DataFrame.groupby pandas.Panel.groupby
`Resampler.last`([_method])	Compute last of group values See Also ——– pandas.Series.groupby pandas.DataFrame.groupby pandas.Panel.groupby
`Resampler.max`([_method])	Compute max of group values See Also ——– pandas.Series.groupby pandas.DataFrame.groupby pandas.Panel.groupby
`Resampler.mean`([_method])	Compute mean of groups, excluding missing values.
`Resampler.median`([_method])	Compute median of groups, excluding missing values.
`Resampler.min`([_method])	Compute min of group values See Also ——– pandas.Series.groupby pandas.DataFrame.groupby pandas.Panel.groupby
`Resampler.ohlc`([_method])	Compute sum of values, excluding missing values.
`Resampler.prod`([_method, min_count])	Compute prod of group values See Also ——– pandas.Series.groupby pandas.DataFrame.groupby pandas.Panel.groupby
`Resampler.size`()	Compute group sizes.
`Resampler.sem`([_method])	Compute standard error of the mean of groups, excluding missing values.
`Resampler.std`([ddof])	Compute standard deviation of groups, excluding missing values.
`Resampler.sum`([_method, min_count])	Compute sum of group values See Also ——– pandas.Series.groupby pandas.DataFrame.groupby pandas.Panel.groupby
`Resampler.var`([ddof])	Compute variance of groups, excluding missing values.
`Resampler.quantile`([q])	Return value at the given quantile.

© 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/0.24.2/reference/resampling.html