Pandas Series: repeat() function

Last update on September 15 2022 12:57:47 (UTC/GMT +8 hours)

Repeat elements of a Pandas series

The repeat() function is used to repeat elements of a Series.

Returns a new Series where each element of the current Series is repeated consecutively a given number of times.

Syntax:

Series.repeat(self, repeats, axis=None)

Name	Description	Type/Default Value	Required / Optional
repeats	The number of repetitions for each element. This should be a non-negative integer. Repeating 0 times will return an empty Series.	int or array of ints	Required
axis	Must be None. Has no effect but is accepted for compatibility with numpy.	Default Value: None	Required

Returns: Series- Newly created Series with repeated elements.

Example:

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series(['p', 'q', 'r'])
s

Output:

0    p
1    q
2    r
dtype: object

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series(['p', 'q', 'r'])
s.repeat(2)

Output:

0    p
0    p
1    q
1    q
2    r
2    r
dtype: object

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series(['p', 'q', 'r'])
s.repeat([2, 3, 4])

Output:

0    p
0    p
1    q
1    q
1    q
2    r
2    r
2    r
2    r
dtype: object

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