Series.align(other, join='outer', axis=None, level=None, copy=True, fill_value=None, method=None, limit=None, fill_axis=0, broadcast_axis=None) [source] Align two object on their axes with the specified join method for each axis Index Parameters: other : DataFrame or Series join : {?outer?, ?inner?, ?left?, ?right?}, default ?outer? axis : allowed axis of the other object, default None Align on index (0), columns (1), or both (None) level : int or level name, default None Broadcast acro

DatetimeIndex.snap(freq='S') [source] Snap time stamps to nearest occurring frequency

TimedeltaIndex.max(axis=None, *args, **kwargs) [source] Return the maximum value of the Index or maximum along an axis. See also numpy.ndarray.max

TimedeltaIndex.round(freq, *args, **kwargs) [source] round the index to the specified freq Parameters: freq : freq string/object Returns: index of same type Raises: ValueError if the freq cannot be converted

DatetimeIndex.sort(*args, **kwargs) [source]

Index.dtype_str = None

Panel4D.toLong(*args, **kwargs) [source]

DataFrame.rolling(window, min_periods=None, freq=None, center=False, win_type=None, on=None, axis=0) [source] Provides rolling window calculcations. New in version 0.18.0. Parameters: window : int, or offset Size of the moving window. This is the number of observations used for calculating the statistic. Each window will be a fixed size. If its an offset then this will be the time period of each window. Each window will be a variable sized based on the observations included in the time-

MultiIndex.format(space=2, sparsify=None, adjoin=True, names=False, na_rep=None, formatter=None) [source]

Series.dt.weekday_name The name of day in a week (ex: Friday) New in version 0.18.1.