Learn Inserting a New Column | The Very First Steps

We'll now explore another technique for adding a column to a DataFrame. This approach utilizes the insert() method. A key benefit of the insert() method is that it allows you to specify the position of the new column within the DataFrame.

df.insert(column_index, 'column_name', [value_1, value_2, value_3])

df: the name of the existing DataFrame;
insert(): the method used for adding new columns;
column_index: the position where the new column will be inserted (keep in mind that indexing starts at 0);
column_name: the name for the new column;
[value_1, value_2, value_3]: the values that will populate the new column.

Now we'll turn our attention to the countries DataFrame and demonstrate how to add a new column named 'population', representing the populations of countries, right after the first column ('country').


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import pandas as pd
countries_data = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'],
          'continent' : ['Asia', 'Asia', 'Europe', 'Europe', 'Europe', 'South America', 'Europe'],
          'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']}
countries = pd.DataFrame(countries_data)

countries.insert(1, 'population', [61399000, 75967000, 39244, 380200, 10380491, 5496000, 2424200])
print(countries)

Task

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You are given a list named cars_data.

Given this list, create a DataFrame named audi_cars.
Insert a column named 'price' between the 'year' and 'fueltype' columns and populate this column with the following values: [12500, 16500, 16800, 17300, 13900].

Solution

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Section 1. Chapter 8

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What happens if the list of values for the new column doesn't match the number of rows in the DataFrame?

Can I use the insert() method to add multiple columns at once?

How do I insert a column at the end of the DataFrame using insert()?

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df.insert(column_index, 'column_name', [value_1, value_2, value_3])

df: the name of the existing DataFrame;
insert(): the method used for adding new columns;
column_index: the position where the new column will be inserted (keep in mind that indexing starts at 0);
column_name: the name for the new column;
[value_1, value_2, value_3]: the values that will populate the new column.


              12345678
            
import pandas as pd
countries_data = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'],
          'continent' : ['Asia', 'Asia', 'Europe', 'Europe', 'Europe', 'South America', 'Europe'],
          'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']}
countries = pd.DataFrame(countries_data)

countries.insert(1, 'population', [61399000, 75967000, 39244, 380200, 10380491, 5496000, 2424200])
print(countries)

Task

Swipe to start coding

You are given a list named cars_data.

Given this list, create a DataFrame named audi_cars.
Insert a column named 'price' between the 'year' and 'fueltype' columns and populate this column with the following values: [12500, 16500, 16800, 17300, 13900].

Solution

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Everything was clear?

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Section 1. Chapter 8

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Inserting a New Column

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Inserting a New Column

Solution

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