pandas.Series.append — pandas 0.24.0rc1 documentation (original) (raw)
Series. append(to_append, ignore_index=False, verify_integrity=False)[source]¶
Concatenate two or more Series.
| Parameters: | to_append : Series or list/tuple of Series ignore_index : boolean, default False If True, do not use the index labels. New in version 0.19.0. verify_integrity : boolean, default False If True, raise Exception on creating index with duplicates |
|---|---|
| Returns: | appended : Series |
See also
General function to concatenate DataFrame, Series or Panel 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]