pandas.DataFrame.pop#

DataFrame.pop(item)[source]#

Return item and drop it from DataFrame. Raise KeyError if not found.

Parameters:

itemlabel: Label of column to be popped.

Returns:

Series: Series representing the item that is dropped.

See also

DataFrame.drop: Drop specified labels from rows or columns.
DataFrame.drop_duplicates: Return DataFrame with duplicate rows removed.

Examples

>>> df = pd.DataFrame(
...     [
...         ("falcon", "bird", 389.0),
...         ("parrot", "bird", 24.0),
...         ("lion", "mammal", 80.5),
...         ("monkey", "mammal", np.nan),
...     ],
...     columns=("name", "class", "max_speed"),
... )
>>> df
     name   class  max_speed
0  falcon    bird      389.0
1  parrot    bird       24.0
2    lion  mammal       80.5
3  monkey  mammal        NaN

>>> df.pop("class")
0      bird
1      bird
2    mammal
3    mammal
Name: class, dtype: object

>>> df
     name  max_speed
0  falcon      389.0
1  parrot       24.0
2    lion       80.5
3  monkey        NaN