w3resource

Pandas: Rename all and only some of the column names


23. Column Renaming

Write a Pandas program to rename all and only some of the column names from world alcohol consumption dataset.

Test Data:

   Year       WHO region                Country Beverage Types  Display Value
0  1986  Western Pacific               Viet Nam           Wine           0.00
1  1986         Americas                Uruguay          Other           0.50
2  1985           Africa           Cte d'Ivoire           Wine           1.62
3  1986         Americas               Colombia           Beer           4.27
4  1987         Americas  Saint Kitts and Nevis           Beer           1.98   

Sample Solution:

Python Code :

import pandas as pd
# World alcohol consumption data
w_a_con = pd.read_csv('world_alcohol.csv')
new_w_a_con = pd.read_csv('world_alcohol.csv')
print("World alcohol consumption sample data:")
print(w_a_con.head())
print("\nRename all the column names:")
w_a_con.columns = ['year','who_region','country','beverage_types','display_values']
print(w_a_con.head())
print("\nRenaming only some of the column names:")
new_w_a_con.rename(columns = {"WHO region":"WHO_region","Display Value":"Display_Value" },inplace = True)
print(new_w_a_con.head()) 

Sample Output:

World alcohol consumption sample data:
   Year       WHO region      ...      Beverage Types Display Value
0  1986  Western Pacific      ...                Wine          0.00
1  1986         Americas      ...               Other          0.50
2  1985           Africa      ...                Wine          1.62
3  1986         Americas      ...                Beer          4.27
4  1987         Americas      ...                Beer          1.98

[5 rows x 5 columns]

Rename all the column names:
   year       who_region      ...       beverage_types display_values
0  1986  Western Pacific      ...                 Wine           0.00
1  1986         Americas      ...                Other           0.50
2  1985           Africa      ...                 Wine           1.62
3  1986         Americas      ...                 Beer           4.27
4  1987         Americas      ...                 Beer           1.98

[5 rows x 5 columns]

Renaming only some of the column names:
   Year       WHO_region      ...      Beverage Types Display_Value
0  1986  Western Pacific      ...                Wine          0.00
1  1986         Americas      ...               Other          0.50
2  1985           Africa      ...                Wine          1.62
3  1986         Americas      ...                Beer          4.27
4  1987         Americas      ...                Beer          1.98

[5 rows x 5 columns]

Click to download world_alcohol.csv


For more Practice: Solve these Related Problems:

  • Write a Pandas program to selectively rename columns based on a mapping dictionary and then verify changes using the DataFrame’s columns attribute.
  • Write a Pandas program to rename all column names to uppercase except for one specified column, then display the new column names.
  • Write a Pandas program to add a prefix to only a subset of column names based on a condition, then sort the columns alphabetically.
  • Write a Pandas program to rename specific columns by replacing spaces with underscores and then check for duplicate column names.

Python Code Editor:


Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to select consecutive columns and also select rows with Index label 0 to 9 with some columns from world alcohol consumption dataset.
Next: Write a Pandas program to find which years have all non-zero values and which years have any non-zero values from world alcohol consumption dataset.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.



Follow us on Facebook and Twitter for latest update.