Resampler.nunique(_method='nunique') [source] Returns number of unique elements in the group

Resampler.min(_method='min', *args, **kwargs) [source] Compute min of group values See also pandas.Series.groupby, pandas.DataFrame.groupby, pandas.Panel.groupby

Resampler.median(_method='median', *args, **kwargs) [source] Compute median of groups, excluding missing values For multiple groupings, the result index will be a MultiIndex See also pandas.Series.groupby, pandas.DataFrame.groupby, pandas.Panel.groupby

Resampler.mean(_method='mean', *args, **kwargs) [source] Compute mean of groups, excluding missing values For multiple groupings, the result index will be a MultiIndex See also pandas.Series.groupby, pandas.DataFrame.groupby, pandas.Panel.groupby

Resampler.max(_method='max', *args, **kwargs) [source] Compute max of group values See also pandas.Series.groupby, pandas.DataFrame.groupby, pandas.Panel.groupby

Resampler.last(_method='last', *args, **kwargs) [source] Compute last of group values See also pandas.Series.groupby, pandas.DataFrame.groupby, pandas.Panel.groupby

Resampler.interpolate(method='linear', axis=0, limit=None, inplace=False, limit_direction='forward', downcast=None, **kwargs) [source] Interpolate values according to different methods. New in version 0.18.1. Please note that only method='linear' is supported for DataFrames/Series with a MultiIndex. Parameters: method : {?linear?, ?time?, ?index?, ?values?, ?nearest?, ?zero?, ?slinear?, ?quadratic?, ?cubic?, ?barycentric?, ?krogh?, ?polynomial?, ?spline?, ?piecewise_polynomial?, ?from_

Resampler.indices dict {group name -> group indices}

Resampler.groups dict {group name -> group labels}

Resampler.get_group(name, obj=None) [source] Constructs NDFrame from group with provided name Parameters: name : object the name of the group to get as a DataFrame obj : NDFrame, default None the NDFrame to take the DataFrame out of. If it is None, the object groupby was called on will be used Returns: group : type of obj