dask.dataframe.Series.append

dask.dataframe.Series.append

Series.append(other, interleave_partitions=False)

Concatenate two or more Series.

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

Some inconsistencies with the Dask version may exist.

Deprecated since version 1.4.0: Use concat() instead. For further details see Deprecated DataFrame.append and Series.append

Parameters
to_appendSeries or list/tuple of Series (Not supported in Dask)

Series to append with self.

ignore_indexbool, default False (Not supported in Dask)

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

verify_integritybool, default False (Not supported in Dask)

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]

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