xorbits.pandas.Series.append#

Series.append(other, ignore_index=False, verify_integrity=False, sort=False)#

Concatenate two or more Series.

Deprecated since version 1.4.0: Use concat() instead. For further details see whatsnew_140.deprecations.frame_series_append

Parameters

  • to_append (Series or list/tuple of Series (Not supported yet)) – Series to append with self.

  • ignore_index (bool, default False) – If True, the resulting axis will be labeled 0, 1, …, n - 1.

  • verify_integrity (bool, default False) – If True, raise Exception on creating index with duplicates.

Returns

Concatenated Series.

Return type

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]

This docstring was copied from pandas.core.series.Series.