Pandas DataFrame - pop() function
The Pandas DataFrame pop() function returns item and drop from frame. The function raises KeyError exception if the specified item is not found.
Syntax
DataFrame.pop(item)
Parameters
item |
Required. Specify the label of column to be popped. |
Return Value
Returns the popped Series.
Example:
In the example below, a DataFrame df is created. The pop() function is used to drop the specified column from the DataFrame.
import pandas as pd
import numpy as np
df = pd.DataFrame({
"Bonus": [5, 3, 2, 4],
"Last Salary": [58, 60, 63, 57],
"Salary": [60, 62, 65, 59]},
index= ["John", "Marry", "Sam", "Jo"]
)
print("The DataFrame is:")
print(df)
#dropping the Last Salary column
df.pop("Last Salary")
print("\nThe modified DataFrame is:")
print(df)
The output of the above code will be:
The DataFrame is:
Bonus Last Salary Salary
John 5 58 60
Marry 3 60 62
Sam 2 63 65
Jo 4 57 59
The modified DataFrame is:
Bonus Salary
John 5 60
Marry 3 62
Sam 2 65
Jo 4 59
❮ Pandas DataFrame - Functions
