TimedeltaIndex.asi8

Panel4D.get_ftype_counts() [source] Return the counts of ftypes in this object.

DataFrame.to_panel() [source] Transform long (stacked) format (DataFrame) into wide (3D, Panel) format. Currently the index of the DataFrame must be a 2-level MultiIndex. This may be generalized later Returns: panel : Panel

TimedeltaIndex.is_boolean() [source]

class pandas.Panel4D(data=None, labels=None, items=None, major_axis=None, minor_axis=None, copy=False, dtype=None) [source] Panel4D is a 4-Dimensional named container very much like a Panel, but having 4 named dimensions. It is intended as a test bed for more N-Dimensional named containers. DEPRECATED. Panel4D is deprecated and will be removed in a future version. The recommended way to represent these types of n-dimensional data are with the xarray package. Pandas provides a .to_xarray() m

MultiIndex.itemsize return the size of the dtype of the item of the underlying data

TimedeltaIndex.repeat(repeats, *args, **kwargs) [source] Analogous to ndarray.repeat

Index.any(*args, **kwargs) [source] Return whether any element is True Parameters: All arguments to numpy.any are accepted. Returns: any : bool or array_like (if axis is specified) A single element array_like may be converted to bool.

TimedeltaIndex.inferred_type

MultiIndex.asi8 = None