TimedeltaIndex.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 return

TimedeltaIndex.asof_locs(where, mask) [source] where : array of timestamps mask : array of booleans where data is not NA

TimedeltaIndex.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?

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

TimedeltaIndex.asi8

TimedeltaIndex.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

TimedeltaIndex.argmin(axis=None, *args, **kwargs) [source] Returns the indices of the minimum values along an axis. See numpy.ndarray.argmin for more information on the axis parameter. See also numpy.ndarray.argmin

TimedeltaIndex.argmax(axis=None, *args, **kwargs) [source] Returns the indices of the maximum values along an axis. See numpy.ndarray.argmax for more information on the axis parameter. See also numpy.ndarray.argmax

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

TimedeltaIndex.any(other=None) [source]