To delete a column from a Pandas DataFrame, you can use the drop() method with the axis parameter set to 1.
Here's an example:

import pandas as pd



# create a sample DataFrame

data = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35], 'Country': ['USA', 'Canada', 'UK']}

df = pd.DataFrame(data)



# drop the 'Country' column

df = df.drop('Country', axis=1)



# print the updated DataFrame

print(df)


This will output:
       Name  Age
0     Alice   25
1       Bob   30
2  Charlie   35

Note that the drop() method returns a new DataFrame with the specified column(s) dropped. To modify the original DataFrame in place, you can set the inplace parameter to True:

df.drop('Country', axis=1, inplace=True)