Series.unique() [source] Return np.ndarray of unique values in the object. Significantly faster than numpy.unique. Includes NA values. The order of the original is preserved. Returns: uniques : np.ndarray

Panel4D.radd(other, axis=0) [source] Addition of series and other, element-wise (binary operator radd). Equivalent to other + panel. Parameters: other : Panel or Panel4D axis : {labels, items, major_axis, minor_axis} Axis to broadcast over Returns: Panel4D See also Panel4D.add

TimedeltaIndex.is_lexsorted_for_tuple(tup) [source]

class pandas.TimedeltaIndex [source] Immutable ndarray of timedelta64 data, represented internally as int64, and which can be boxed to timedelta objects Parameters: data : array-like (1-dimensional), optional Optional timedelta-like data to construct index with unit: unit of the arg (D,h,m,s,ms,us,ns) denote the unit, optional which is an integer/float number freq: a frequency for the index, optional copy : bool Make a copy of input ndarray start : starting value, timedelta-like, opt

Panel.get_values() [source] same as values (but handles sparseness conversions)

pandas.timedelta_range(start=None, end=None, periods=None, freq='D', name=None, closed=None) [source] Return a fixed frequency timedelta index, with day as the default frequency Parameters: start : string or timedelta-like, default None Left bound for generating dates end : string or datetime-like, default None Right bound for generating dates periods : integer or None, default None If None, must specify start and end freq : string or DateOffset, default ?D? (calendar daily) Frequen

Panel.add_suffix(suffix) [source] Concatenate suffix string with panel items names. Parameters: suffix : string Returns: with_suffix : type of caller

MultiIndex.putmask(mask, value) [source] return a new Index of the values set with the mask See also numpy.ndarray.putmask

MultiIndex.is_(other) [source] More flexible, faster check like is but that works through views Note: this is not the same as Index.identical(), which checks that metadata is also the same. Parameters: other : object other object to compare against. Returns: True if both have same underlying data, False otherwise : bool

Series.resample(rule, how=None, axis=0, fill_method=None, closed=None, label=None, convention='start', kind=None, loffset=None, limit=None, base=0, on=None, level=None) [source] Convenience method for frequency conversion and resampling of time series. Object must have a datetime-like index (DatetimeIndex, PeriodIndex, or TimedeltaIndex), or pass datetime-like values to the on or level keyword. Parameters: rule : string the offset string or object representing target conversion axis : in