pandas.Index.repeat
- Index. repeat ( 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')
© 2008–2022, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/1.4.0/reference/api/pandas.Index.repeat.html