pandas.IntervalArray.repeat

IntervalArray.repeat(repeats, axis=None)[source]

Repeat elements of a IntervalArray.

Returns a new IntervalArray where each element of the current IntervalArray 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 IntervalArray.

axis : None

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

Returns:
repeated_array : IntervalArray

Newly created IntervalArray with repeated elements.

See also

Series.repeat
Equivalent function for Series.
Index.repeat
Equivalent function for Index.
numpy.repeat
Similar method for numpy.ndarray.
ExtensionArray.take
Take arbitrary positions.

Examples

>>> cat = pd.Categorical(['a', 'b', 'c'])
>>> cat
[a, b, c]
Categories (3, object): [a, b, c]
>>> cat.repeat(2)
[a, a, b, b, c, c]
Categories (3, object): [a, b, c]
>>> cat.repeat([1, 2, 3])
[a, b, b, c, c, c]
Categories (3, object): [a, b, c]
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