MultiIndex.lexsort_depth = None

CategoricalIndex.values return the underlying data, which is a Categorical

TimedeltaIndex.get_values() [source] return the underlying data as an ndarray

Index.summary(name=None) [source]

Panel.ge(other, axis=None) [source] Wrapper for comparison method ge

CategoricalIndex.holds_integer() [source]

Series.bool() [source] Return the bool of a single element PandasObject. This must be a boolean scalar value, either True or False. Raise a ValueError if the PandasObject does not have exactly 1 element, or that element is not boolean

DatetimeIndex.is_year_end Logical indicating if last day of year (defined by frequency)

Panel.ndim Number of axes / array dimensions

pandas provides various facilities for easily combining together Series, DataFrame, and Panel objects with various kinds of set logic for the indexes and relational algebra functionality in the case of join / merge-type operations. Concatenating objects The concat function (in the main pandas namespace) does all of the heavy lifting of performing concatenation operations along an axis while performing optional set logic (union or intersection) of the indexes (if any) on the other axes. Note t