Renaming the Column

In the previous chapter, you dealt with the incorrect values in a column. It is an excellent time to fix any changes. In our case, we can rename the column to pin that it was changed.

To rename a column, use the .rename() method. Look at the example where we will rename the column 'Survived', and then output the column names.


              1234
            
import pandas as pd
data = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/4bf24830-59ba-4418-969b-aaf8117d522e/titanic4.csv', index_col = 0)
data.rename(columns = {'Survived': 'Survived_Passenger'}, inplace = True)
print(data.columns)

Explanation:

python

.rename() - a method that we apply to the dataset to rename columns name;
columns = {'Survived': 'Survived_Passenger'} - in the curly brackets, you specify all columns and their new names. In this case, we renamed just one column, but you can put several of them here separated by commas.

.columns - an attribute that outputs the column names. In our case, we can no longer see the column name 'Survived'.

Task

Swipe to start coding

Your task here is to:

Rename the column 'Fare' to 'Fare_fixed'. Use the inplace = True argument.
Output all column names of the data dataset.

Solution

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 5. Chapter 9

Renaming the Column

In the previous chapter, you dealt with the incorrect values in a column. It is an excellent time to fix any changes. In our case, we can rename the column to pin that it was changed.

To rename a column, use the .rename() method. Look at the example where we will rename the column 'Survived', and then output the column names.


              1234
            
import pandas as pd
data = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/4bf24830-59ba-4418-969b-aaf8117d522e/titanic4.csv', index_col = 0)
data.rename(columns = {'Survived': 'Survived_Passenger'}, inplace = True)
print(data.columns)

Explanation:

python

.rename() - a method that we apply to the dataset to rename columns name;
columns = {'Survived': 'Survived_Passenger'} - in the curly brackets, you specify all columns and their new names. In this case, we renamed just one column, but you can put several of them here separated by commas.

.columns - an attribute that outputs the column names. In our case, we can no longer see the column name 'Survived'.

Task

Swipe to start coding

Your task here is to:

Rename the column 'Fare' to 'Fare_fixed'. Use the inplace = True argument.
Output all column names of the data dataset.

Solution

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 5. Chapter 9

Switch to desktop for real-world practiceContinue from where you are using one of the options below