Index.astype(dtype, copy=True) [source] Create an Index with values cast to dtypes. The class of a new Index is determined by dtype. When conversion is impossible, a ValueError exception is raised. Parameters: dtype : numpy dtype or pandas type copy : bool, default True By default, astype always returns a newly allocated object. If copy is set to False and internal requirements on dtype are satisfied, the original data is used to create a new Index or the original Index is returned. New

Index.base return the base object if the memory of the underlying data is shared

Index.asi8 = None

Index.argsort(*args, **kwargs) [source] Returns the indices that would sort the index and its underlying data. Returns: argsorted : numpy array See also numpy.ndarray.argsort

Index.asof(label) [source] For a sorted index, return the most recent label up to and including the passed label. Return NaN if not found. See also get_loc asof is a thin wrapper around get_loc with method=?pad?

Index.append(other) [source] Append a collection of Index options together Parameters: other : Index or list/tuple of indices Returns: appended : Index

Index.argmax(axis=None) [source] return a ndarray of the maximum argument indexer See also numpy.ndarray.argmax

Index.argmin(axis=None) [source] return a ndarray of the minimum argument indexer See also numpy.ndarray.argmin

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.

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