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 NDFrame 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[, _method]) 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.
Scroll To Top