TimedeltaIndex.repeat(repeats, *args, **kwargs) [source] Analogous to ndarray.repeat

Panel4D.rank(axis=0, method='average', numeric_only=None, na_option='keep', ascending=True, pct=False) [source] Compute numerical data ranks (1 through n) along axis. Equal values are assigned a rank that is the average of the ranks of those values Parameters: axis: {0 or ?index?, 1 or ?columns?}, default 0 index to direct ranking method : {?average?, ?min?, ?max?, ?first?, ?dense?} average: average rank of group min: lowest rank in group max: highest rank in group first: ranks assigned

Index.any(*args, **kwargs) [source] Return whether any element is True Parameters: All arguments to numpy.any are accepted. Returns: any : bool or array_like (if axis is specified) A single element array_like may be converted to bool.

Panel.swapaxes(axis1, axis2, copy=True) [source] Interchange axes and swap values axes appropriately Returns: y : same as input

DatetimeIndex.resolution = None

TimedeltaIndex.is_categorical() [source]

Series.base return the base object if the memory of the underlying data is shared

Index.is_floating() [source]

Panel.replace(to_replace=None, value=None, inplace=False, limit=None, regex=False, method='pad', axis=None) [source] Replace values given in ?to_replace? with ?value?. Parameters: to_replace : str, regex, list, dict, Series, numeric, or None str or regex: str: string exactly matching to_replace will be replaced with value regex: regexs matching to_replace will be replaced with value list of str, regex, or numeric: First, if to_replace and value are both lists, they must be the same

Panel.bfill(axis=None, inplace=False, limit=None, downcast=None) [source] Synonym for NDFrame.fillna(method=?bfill?)