Panel4D.filter()

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

Panel4D.abs()

Panel4D.abs() [source] Return an object with absolute value taken?only applicable to objects that are all numeric. Returns: abs: type of caller

DataFrame.mask()

DataFrame.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

DatetimeIndex.format()

DatetimeIndex.format(name=False, formatter=None, **kwargs) [source] Render a string representation of the Index

pandas.cut()

pandas.cut(x, bins, right=True, labels=None, retbins=False, precision=3, include_lowest=False) [source] Return indices of half-open bins to which each value of x belongs. Parameters: x : array-like Input array to be binned. It has to be 1-dimensional. bins : int or sequence of scalars If bins is an int, it defines the number of equal-width bins in the range of x. However, in this case, the range of x is extended by .1% on each side to include the min or max values of x. If bins is a seq

Panel.set_axis()

Panel.set_axis(axis, labels) [source] public verson of axis assignment

DataFrame.__iter__()

DataFrame.__iter__() [source] Iterate over infor axis

GroupBy.__iter__()

GroupBy.__iter__() [source] Groupby iterator Returns: Generator yielding sequence of (name, subsetted object) for each group

Series.keys()

Series.keys() [source] Alias for index

DatetimeIndex.is_mixed()

DatetimeIndex.is_mixed() [source]