How to Use pop in pandas: Remove and Return Columns Easily

In pandas, the pop method removes a column from a DataFrame and returns it as a Series. Use df.pop('column_name') to extract and delete the column in one step.

Syntax

The pop method syntax is simple:

• df.pop(item): Removes the column named item from the DataFrame df and returns it as a Series.

Parameters:

• item: The label of the column to remove.

Returns: The removed column as a pandas Series.

python

df.pop(item)

Example

This example shows how to use pop to remove a column from a DataFrame and get it back as a Series.

python

import pandas as pd

data = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35], 'City': ['NY', 'LA', 'Chicago']}
df = pd.DataFrame(data)

# Remove 'Age' column and get it as a Series
age_series = df.pop('Age')

print('DataFrame after pop:')
print(df)

print('\nPopped column as Series:')
print(age_series)

Output

DataFrame after pop:
      Name     City
0    Alice       NY
1      Bob       LA
2  Charlie  Chicago

Popped column as Series:
0    25
1    30
2    35
Name: Age, dtype: int64

Common Pitfalls

Common mistakes when using pop include:

• Trying to pop a column that does not exist, which raises a KeyError.
• Expecting pop to work on rows; it only works on columns.
• Not realizing that pop modifies the original DataFrame by removing the column.

Always check if the column exists before popping or handle exceptions.

python

import pandas as pd

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

# Wrong: popping a non-existent column
try:
    df.pop('C')
except KeyError as e:
    print(f'Error: {e}')

# Right: check before popping
if 'B' in df.columns:
    col = df.pop('B')
    print('Popped column B:', col)

Output

Error: 'C'
Popped column B: 0    3
1    4
Name: B, dtype: int64

Quick Reference

Method	Description	Returns	Modifies Original DataFrame
pop(item)	Removes and returns the column named item	Series of the removed column	Yes

Key Takeaways

Use df.pop('column_name') to remove and get a column as a Series in one step.

pop modifies the original DataFrame by deleting the specified column.

pop raises KeyError if the column does not exist; check before popping.

pop only works on columns, not rows.

The returned object from pop is a pandas Series of the removed column.