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. |