xorbits.pandas.Index.values#

property Index.values#

Return an array representing the data in the Index.

Warning

We recommend using Index.array or Index.to_numpy(), depending on whether you need a reference to the underlying data or a NumPy array.

Returns

array

Return type

numpy.ndarray or ExtensionArray

See also

Index.array

Reference to the underlying data.

Index.to_numpy

A NumPy array representing the underlying data.

Examples

For pandas.Index:

>>> idx = pd.Index([1, 2, 3])  
>>> idx  
Index([1, 2, 3], dtype='int64')
>>> idx.values  
array([1, 2, 3])

For pandas.IntervalIndex:

>>> idx = pd.interval_range(start=0, end=5)  
>>> idx.values  
<IntervalArray>
[(0, 1], (1, 2], (2, 3], (3, 4], (4, 5]]
Length: 5, dtype: interval[int64, right]

This docstring was copied from pandas.core.indexes.base.Index.