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.