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

Resampler.fillna(method, limit=None) [source] Fill missing values Parameters: method : str, method of resampling (?ffill?, ?bfill?) limit : integer, optional limit of how many values to fill See also Series.fillna, DataFrame.fillna

Resampler.ffill(limit=None) [source] Forward fill the values Parameters: limit : integer, optional limit of how many values to fill See also Series.fillna, DataFrame.fillna

Resampler.count(_method='count') [source] Compute count of group, excluding missing values See also pandas.Series.groupby, pandas.DataFrame.groupby, pandas.Panel.groupby

Resampler.bfill(limit=None) [source] Backward fill the values Parameters: limit : integer, optional limit of how many values to fill See also Series.fillna, DataFrame.fillna

Resampler.backfill(limit=None) [source] Backward fill the values Parameters: limit : integer, optional limit of how many values to fill See also Series.fillna, DataFrame.fillna

Resampler.apply(arg, *args, **kwargs) [source] Apply aggregation function or functions to resampled groups, yielding most likely Series but in some cases DataFrame depending on the output of the aggregation function Parameters: func_or_funcs : function or list / dict of functions List/dict of functions will produce DataFrame with column names determined by the function names themselves (list) or the keys in the dict Returns: Series or DataFrame See also transform Notes agg is an ali

Resampler.asfreq() [source] return the values at the new freq, essentially a reindex with (no filling)

Resampler.aggregate(arg, *args, **kwargs) [source] Apply aggregation function or functions to resampled groups, yielding most likely Series but in some cases DataFrame depending on the output of the aggregation function Parameters: func_or_funcs : function or list / dict of functions List/dict of functions will produce DataFrame with column names determined by the function names themselves (list) or the keys in the dict Returns: Series or DataFrame See also transform Notes agg is an

Panel4D.xs(key, axis=1) [source] Return slice of panel along selected axis Parameters: key : object Label axis : {?items?, ?major?, ?minor}, default 1/?major? Returns: y : ndim(self)-1 Notes xs is only for getting, not setting values. MultiIndex Slicers is a generic way to get/set values on any level or levels and is a superset of xs functionality, see MultiIndex Slicers