MultiIndex.data return the data pointer of the underlying data

Series.T return the transpose, which is by definition self

Series.dtypes return the dtype object of the underlying data

TimedeltaIndex.nlevels

DatetimeIndex.has_duplicates

Panel4D.at_time(time, asof=False) [source] Select values at particular time of day (e.g. 9:30AM). Parameters: time : datetime.time or string Returns: values_at_time : type of caller

MultiIndex.is_monotonic_increasing return if the index is monotonic increasing (only equal or increasing) values.

Series.transpose(*args, **kwargs) [source] return the transpose, which is by definition self

Series.interpolate(method='linear', axis=0, limit=None, inplace=False, limit_direction='forward', downcast=None, **kwargs) [source] Interpolate values according to different methods. Please note that only method='linear' is supported for DataFrames/Series with a MultiIndex. Parameters: method : {?linear?, ?time?, ?index?, ?values?, ?nearest?, ?zero?, ?slinear?, ?quadratic?, ?cubic?, ?barycentric?, ?krogh?, ?polynomial?, ?spline?, ?piecewise_polynomial?, ?from_derivatives?, ?pchip?, ?akim

CategoricalIndex.to_native_types(slicer=None, **kwargs) [source] slice and dice then format