pandas.Series.repeat#

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

Repeat elements of a Series.

Returns a new Series where each element of the current Series 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 Series.
axisNone: Must be None. Has no effect but is accepted for compatibility with numpy.

Returns

Series: Newly created Series with repeated elements.

See also

Index.repeat: Equivalent function for Index.
numpy.repeat: Similar method for numpy.ndarray.

Examples

>>> s = pd.Series(['a', 'b', 'c'])
>>> s
0    a
1    b
2    c
dtype: object
>>> s.repeat(2)
0    a
0    a
1    b
1    b
2    c
2    c
dtype: object
>>> s.repeat([1, 2, 3])
0    a
1    b
1    b
2    c
2    c
2    c
dtype: object

pandas.Series.reorder_levels

pandas.Series.replace