pandas.Index.repeat¶
-
Index.
repeat
(self, repeats, axis=None)[source]¶ Repeat elements of a Index.
Returns a new Index where each element of the current Index is repeated consecutively a given number of times.
Parameters: - repeats : int or array of ints
The number of repetitions for each element. This should be a non-negative integer. Repeating 0 times will return an empty Index.
- axis : None
Must be
None
. Has no effect but is accepted for compatibility with numpy.
Returns: - repeated_index : Index
Newly created Index with repeated elements.
See also
Series.repeat
- Equivalent function for Series.
numpy.repeat
- Similar method for
numpy.ndarray
.
Examples
>>> idx = pd.Index(['a', 'b', 'c']) >>> idx Index(['a', 'b', 'c'], dtype='object') >>> idx.repeat(2) Index(['a', 'a', 'b', 'b', 'c', 'c'], dtype='object') >>> idx.repeat([1, 2, 3]) Index(['a', 'b', 'b', 'c', 'c', 'c'], dtype='object')