Series.view(dtype=None) [source]

Series.dt.dayofyear The ordinal day of the year

Series.str.endswith(pat, na=nan) [source] Return boolean Series indicating whether each string in the Series/Index ends with passed pattern. Equivalent to str.endswith(). Parameters: pat : string Character sequence na : bool, default NaN Returns: endswith : Series/array of boolean values

DataFrame.blocks Internal property, property synonym for as_blocks()

Series.asobject return object Series which contains boxed values this is an internal non-public method

TimedeltaIndex.summary(name=None) [source] return a summarized representation

Panel.as_blocks(copy=True) [source] Convert the frame to a dict of dtype -> Constructor Types that each has a homogeneous dtype. NOTE: the dtypes of the blocks WILL BE PRESERVED HERE (unlike in as_matrix) Parameters: copy : boolean, default True Returns: values : a dict of dtype -> Constructor Types

MultiIndex.get_level_values(level) [source] Return vector of label values for requested level, equal to the length of the index Parameters: level : int or level name Returns: values : ndarray

Panel4D.describe(percentiles=None, include=None, exclude=None) [source] Generate various summary statistics, excluding NaN values. Parameters: percentiles : array-like, optional The percentiles to include in the output. Should all be in the interval [0, 1]. By default percentiles is [.25, .5, .75], returning the 25th, 50th, and 75th percentiles. include, exclude : list-like, ?all?, or None (default) Specify the form of the returned result. Either: None to both (default). The result will

Index.to_series(**kwargs) [source] Create a Series with both index and values equal to the index keys useful with map for returning an indexer based on an index Returns: Series : dtype will be based on the type of the Index values.