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

DataFrame.get(key, default=None) [source] Get item from object for given key (DataFrame column, Panel slice, etc.). Returns default value if not found. Parameters: key : object Returns: value : type of items contained in object

Series.get_ftype_counts() [source] Return the counts of ftypes in this object.

Series.dt.is_year_start Logical indicating if first day of year (defined by frequency)

CategoricalIndex.codes

Panel4D.reindex_axis(labels, axis=0, method=None, level=None, copy=True, limit=None, fill_value=nan) [source] Conform input object to new index with optional filling logic, placing NA/NaN in locations having no value in the previous index. A new object is produced unless the new index is equivalent to the current one and copy=False Parameters: labels : array-like New labels / index to conform to. Preferably an Index object to avoid duplicating data axis : {0, 1, 2, ?items?, ?major_axis?,

Series.dt.normalize(*args, **kwargs) [source] Return DatetimeIndex with times to midnight. Length is unaltered Returns: normalized : DatetimeIndex

TimedeltaIndex.dtype_str = None

Panel4D.iteritems() [source] Iterate over (label, values) on info axis This is index for Series, columns for DataFrame, major_axis for Panel, and so on.

MultiIndex.equal_levels(other) [source] Return True if the levels of both MultiIndex objects are the same