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. verify_integrity : boolean, default False If True, raise Exception on creating index with duplicates |
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Returns: |
appended : Series |
>>> 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) ValueError: Indexes have overlapping values: [0, 1, 2]
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http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.Series.append.html