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:

repeatsint 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.
axisNone: Must be None. Has no effect but is accepted for compatibility with numpy.

Returns:

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')