Series.drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors='raise')[source]

Return Series with specified index labels removed.

Remove elements of a Series based on specifying the index labels. When using a multi-index, labels on different levels can be removed by specifying the level.

labelssingle label or list-like

Index labels to drop.

axis0, default 0

Redundant for application on Series.

indexsingle label or list-like

Redundant for application on Series, but ‘index’ can be used instead of ‘labels’.

columnssingle label or list-like

No change is made to the Series; use ‘index’ or ‘labels’ instead.

levelint or level name, optional

For MultiIndex, level for which the labels will be removed.

inplacebool, default False

If True, do operation inplace and return None.

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

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

Series or None

Series with specified index labels removed or None if inplace=True.


If none of the labels are found in the index.

See also


Return only specified index labels of Series.


Return series without null values.


Return Series with duplicate values removed.


Drop specified labels from rows or columns.


>>> s = pd.Series(data=np.arange(3), index=['A', 'B', 'C'])
>>> s
A  0
B  1
C  2
dtype: int64

Drop labels B en C

>>> s.drop(labels=['B', 'C'])
A  0
dtype: int64

Drop 2nd level label in MultiIndex Series

>>> midx = pd.MultiIndex(levels=[['lama', 'cow', 'falcon'],
...                              ['speed', 'weight', 'length']],
...                      codes=[[0, 0, 0, 1, 1, 1, 2, 2, 2],
...                             [0, 1, 2, 0, 1, 2, 0, 1, 2]])
>>> s = pd.Series([45, 200, 1.2, 30, 250, 1.5, 320, 1, 0.3],
...               index=midx)
>>> s
lama    speed      45.0
        weight    200.0
        length      1.2
cow     speed      30.0
        weight    250.0
        length      1.5
falcon  speed     320.0
        weight      1.0
        length      0.3
dtype: float64
>>> s.drop(labels='weight', level=1)
lama    speed      45.0
        length      1.2
cow     speed      30.0
        length      1.5
falcon  speed     320.0
        length      0.3
dtype: float64