DatetimeIndex.duplicated(*args, **kwargs) [source] Return boolean np.ndarray denoting duplicate values Parameters: keep : {?first?, ?last?, False}, default ?first? first : Mark duplicates as True except for the first occurrence. last : Mark duplicates as True except for the last occurrence. False : Mark all duplicates as True. take_last : deprecated Returns: duplicated : np.ndarray

DataFrame.to_pickle(path) [source] Pickle (serialize) object to input file path. Parameters: path : string File path

Panel4D.mask(cond, other=nan, inplace=False, axis=None, level=None, try_cast=False, raise_on_error=True) [source] Return an object of same shape as self and whose corresponding entries are from self where cond is False and otherwise are from other. Parameters: cond : boolean NDFrame, array or callable If cond is callable, it is computed on the NDFrame and should return boolean NDFrame or array. The callable must not change input NDFrame (though pandas doesn?t check it). New in version 0.

DataFrame.abs() [source] Return an object with absolute value taken?only applicable to objects that are all numeric. Returns: abs: type of caller

MultiIndex.is_unique = None

Index.is_monotonic_decreasing return if the index is monotonic decreasing (only equal or decreasing) values.

Panel.at Fast label-based scalar accessor Similarly to loc, at provides label based scalar lookups. You can also set using these indexers.

Panel4D.to_pickle(path) [source] Pickle (serialize) object to input file path. Parameters: path : string File path

Panel.reindex_like(other, method=None, copy=True, limit=None, tolerance=None) [source] Return an object with matching indices to myself. Parameters: other : Object method : string or None copy : boolean, default True limit : int, default None Maximum number of consecutive labels to fill for inexact matches. tolerance : optional Maximum distance between labels of the other object and this object for inexact matches. New in version 0.17.0. Returns: reindexed : same as input Notes Li

DataFrame.irow(i, copy=False) [source] DEPRECATED. Use .iloc[i] instead