Series.
drop
(
labels=None,
axis=0,
index=None,
columns=None,
level=None,
inplace=False,
errors='raise'
)
[source]
Return new object with labels in requested axis removed.
去除指定轴向的数据。以下参数操作灵活，可以有不同路径完成同一目的
| Parameters: | labels : single label or list-like
axis : int or axis name
index, columns : single label or list-like
level : int or level name, default None
inplace : bool, default False
errors : {‘ignore’, ‘raise’}, default ‘raise’
|
|---|---|
| Returns: | dropped : type of caller |
Notes
Specifying both labels and index or columns will raise a ValueError.
Examples
>>> df = pd.DataFrame(np.arange(12).reshape(3,4),
columns=['A', 'B', 'C', 'D'])
>>> df
A B C D
0 0 1 2 3
1 4 5 6 7
2 8 9 10 11
Drop columns
>>> df.drop(['B', 'C'], axis=1)
A D
0 0 3
1 4 7
2 8 11
>>> df.drop(columns=['B', 'C'])
A D
0 0 3
1 4 7
2 8 11
Drop a row by index
>>> df.drop([0, 1])
A B C D
2 8 9 10 11
