Resampler objects are returned by resample calls: pandas.DataFrame.resample(), pandas.Series.resample().
pandas.DataFrame.resample()
pandas.Series.resample()
Resampler.__iter__(self)
Resampler.__iter__
Resampler iterator.
Resampler.groups
Dict {group name -> group labels}.
Resampler.indices
Dict {group name -> group indices}.
Resampler.get_group(self, name[, obj])
Resampler.get_group
Construct DataFrame from group with provided name.
Resampler.apply(self, func, \*args, \*\*kwargs)
Resampler.apply
Aggregate using one or more operations over the specified axis.
Resampler.aggregate(self, func, \*args, …)
Resampler.aggregate
Resampler.transform(self, arg, \*args, …)
Resampler.transform
Call function producing a like-indexed Series on each group and return a Series with the transformed values.
Resampler.pipe(self, func, \*args, \*\*kwargs)
Resampler.pipe
Apply a function func with arguments to this Resampler object and return the function’s result.
Resampler.ffill(self[, limit])
Resampler.ffill
Forward fill the values.
Resampler.backfill(self[, limit])
Resampler.backfill
Backward fill the new missing values in the resampled data.
Resampler.bfill(self[, limit])
Resampler.bfill
Resampler.pad(self[, limit])
Resampler.pad
Resampler.nearest(self[, limit])
Resampler.nearest
Resample by using the nearest value.
Resampler.fillna(self, method[, limit])
Resampler.fillna
Fill missing values introduced by upsampling.
Resampler.asfreq(self[, fill_value])
Resampler.asfreq
Return the values at the new freq, essentially a reindex.
Resampler.interpolate(self[, method, axis, …])
Resampler.interpolate
Interpolate values according to different methods.
Resampler.count(self)
Resampler.count
Compute count of group, excluding missing values.
Resampler.nunique(self[, _method])
Resampler.nunique
Return number of unique elements in the group.
Resampler.first(self[, _method])
Resampler.first
Compute first of group values.
Resampler.last(self[, _method])
Resampler.last
Compute last of group values.
Resampler.max(self[, _method])
Resampler.max
Compute max of group values.
Resampler.mean(self[, _method])
Resampler.mean
Compute mean of groups, excluding missing values.
Resampler.median(self[, _method])
Resampler.median
Compute median of groups, excluding missing values.
Resampler.min(self[, _method])
Resampler.min
Compute min of group values.
Resampler.ohlc(self[, _method])
Resampler.ohlc
Compute sum of values, excluding missing values.
Resampler.prod(self[, _method, min_count])
Resampler.prod
Compute prod of group values.
Resampler.size(self)
Resampler.size
Compute group sizes.
Resampler.sem(self[, _method])
Resampler.sem
Compute standard error of the mean of groups, excluding missing values.
Resampler.std(self[, ddof])
Resampler.std
Compute standard deviation of groups, excluding missing values.
Resampler.sum(self[, _method, min_count])
Resampler.sum
Compute sum of group values.
Resampler.var(self[, ddof])
Resampler.var
Compute variance of groups, excluding missing values.
Resampler.quantile(self[, q])
Resampler.quantile
Return value at the given quantile.