Resampling

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

Indexing, iteration

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

Function application

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

Upsampling

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

Computations / descriptive stats

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

pandas.core.groupby.DataFrameGroupBy.boxplot pandas.core.resample.Resampler.__iter__