pandas.Series.append

Series.append(to_append, ignore_index=False, verify_integrity=False)

Concatenate two or more Series.

Parameters

to_appendSeries or list/tuple of Series

Series to append with self.

ignore_indexbool, default False

If True, the resulting axis will be labeled 0, 1, …, n - 1.

verify_integritybool, default False

If True, raise Exception on creating index with duplicates.

Returns

Series

Concatenated Series.

See also

concat

General function to concatenate DataFrame or Series objects.

Notes

Iteratively appending to a Series can be more computationally intensive than a single concatenate. A better solution is to append values to a list and then concatenate the list with the original Series all at once.

Examples

>>> s1 = pd.Series([1, 2, 3])
>>> s2 = pd.Series([4, 5, 6])
>>> s3 = pd.Series([4, 5, 6], index=[3, 4, 5])
>>> s1.append(s2)
0    1
1    2
2    3
0    4
1    5
2    6
dtype: int64

>>> s1.append(s3)
0    1
1    2
2    3
3    4
4    5
5    6
dtype: int64

With ignore_index set to True:

>>> s1.append(s2, ignore_index=True)
0    1
1    2
2    3
3    4
4    5
5    6
dtype: int64

With verify_integrity set to True:

>>> s1.append(s2, verify_integrity=True)
Traceback (most recent call last):
...
ValueError: Indexes have overlapping values: [0, 1, 2]

pandas.Series.any pandas.Series.apply