pandas.Series.drop-白红宇

Series.

drop

(

labels=None,

axis=0,

index=None,

columns=None,

level=None,

inplace=False,

errors='raise'

)

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:

Parameters:	labels : single label or list-like Index or column labels to drop. axis : int or axis name Whether to drop labels from the index (0 / ‘index’) or columns (1 / ‘columns’). index, columns : single label or list-like Alternative to specifying axis (`labels, axis=1` is equivalent to `columns=labels`). New in version 0.21.0. level : int or level name, default None For MultiIndex inplace : bool, default False If True, do operation inplace and return None. errors : {‘ignore’, ‘raise’}, default ‘raise’ If ‘ignore’, suppress error and existing labels are dropped.
Returns:	dropped : type of caller

labels : single label or list-like

Index or column labels to drop.

axis : int or axis name

Whether to drop labels from the index (0 / ‘index’) or columns (1 / ‘columns’).

index, columns : single label or list-like

Alternative to specifying axis (labels, axis=1 is equivalent to columns=labels).

New in version 0.21.0.

level : int or level name, default None

For MultiIndex

inplace : bool, default False

If True, do operation inplace and return None.

errors : {‘ignore’, ‘raise’}, default ‘raise’

If ‘ignore’, suppress error and existing labels are dropped.

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   D0  0  1   2   31  4  5   6   72  8  9  10  11

Drop columns

>>> df.drop(['B', 'C'], axis=1)   A   D0  0   31  4   72  8  11

>>> df.drop(columns=['B', 'C'])   A   D0  0   31  4   72  8  11

Drop a row by index

>>> df.drop([0, 1])   A  B   C   D2  8  9  10  11