xorbits.pandas.Series.drop_duplicates#
- Series.drop_duplicates(keep='first', inplace=False, method='auto')#
Return Series with duplicate values removed.
- 参数
keep ({‘first’, ‘last’,
False
}, default ‘first’) –Method to handle dropping duplicates:
’first’ : Drop duplicates except for the first occurrence.
’last’ : Drop duplicates except for the last occurrence.
False
: Drop all duplicates.
inplace (bool, default
False
) – IfTrue
, performs operation inplace and returns None.ignore_index (bool, default
False
(Not supported yet)) –If
True
, the resulting axis will be labeled 0, 1, …, n - 1.2.0.0(pandas) 新版功能.
- 返回
Series with duplicates dropped or None if
inplace=True
.- 返回类型
Series or None
参见
Index.drop_duplicates
Equivalent method on Index.
DataFrame.drop_duplicates
Equivalent method on DataFrame.
Series.duplicated
Related method on Series, indicating duplicate Series values.
Series.unique
Return unique values as an array.
实际案例
Generate a Series with duplicated entries.
>>> s = pd.Series(['llama', 'cow', 'llama', 'beetle', 'llama', 'hippo'], ... name='animal') >>> s 0 llama 1 cow 2 llama 3 beetle 4 llama 5 hippo Name: animal, dtype: object
With the ‘keep’ parameter, the selection behaviour of duplicated values can be changed. The value ‘first’ keeps the first occurrence for each set of duplicated entries. The default value of keep is ‘first’.
>>> s.drop_duplicates() 0 llama 1 cow 3 beetle 5 hippo Name: animal, dtype: object
The value ‘last’ for parameter ‘keep’ keeps the last occurrence for each set of duplicated entries.
>>> s.drop_duplicates(keep='last') 1 cow 3 beetle 4 llama 5 hippo Name: animal, dtype: object
The value
False
for parameter ‘keep’ discards all sets of duplicated entries.>>> s.drop_duplicates(keep=False) 1 cow 3 beetle 5 hippo Name: animal, dtype: object
This docstring was copied from pandas.core.series.Series.