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Pandas DataFrame | pop method

Pandas
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DataFrame
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Combining DataFrames
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
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Pandas DataFrame.pop(~) method removes a single column of a DataFrame. The removal is done in-place, that is, the original DataFrame will be modified and no new DataFrame will be created.

NOTE

The DataFrame.drop(~) method provides a more flexible API. The drop(~) method can do everything the pop(~) can, but with far more flexibility:

  • you can remove not only columns, but also rows as well.

  • drop(~) allows for multiple rows/columns removal, whereas pop(~) only does this one at a time.

Parameters

1. item | string

The name of the column you want removed.

Return Value

A Series that holds the removed column values.

Examples

Consider the following DataFrame:

df = pd.DataFrame({"A":[1,2], "B":[3,4]})
df
A B
0 1 3
1 2 4

To remove column A:

df.pop("A")
0 1
1 2
Name: A, dtype: int64

Here, the deleted column is returned as a Series.

The removal is performed in-place, that is, the df will be modified directly without the creation of a new DataFrame. To confirm this, we check the state of the df now that we've called pop(~):

df
B
0 3
1 4

Notice how the column A is now gone.

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Published by Isshin Inada
Edited by 0 others
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