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Add a New Column 2/2 | The Very First Steps
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Course Content

Pandas First Steps

Add a New Column 2/2Add a New Column 2/2

Let's explore the second technique for adding a column to a DataFrame. This method utilizes the insert() function. Here's the syntax:

  • dataframe: The name of the existing DataFrame.
  • insert(): The function 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 let's turn our attention to the countries DataFrame. We'll demonstrate how to add a new column named population, representing the populations of countries, right after the first column (country).

Note

A key benefit of the insert() method is that it allows you to specify the position of the new column within the DataFrame.

Task

  1. Using the dataset data, create the audi_cars DataFrame.
  2. Insert a column named 'price' between the year and fueltype columns. Use the .insert() method and populate it with the following values: [12500, 16500, 16800, 17300, 13900].

Everything was clear?

Section 1. Chapter 8
toggle bottom row
course content

Course Content

Pandas First Steps

Add a New Column 2/2Add a New Column 2/2

Let's explore the second technique for adding a column to a DataFrame. This method utilizes the insert() function. Here's the syntax:

  • dataframe: The name of the existing DataFrame.
  • insert(): The function 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 let's turn our attention to the countries DataFrame. We'll demonstrate how to add a new column named population, representing the populations of countries, right after the first column (country).

Note

A key benefit of the insert() method is that it allows you to specify the position of the new column within the DataFrame.

Task

  1. Using the dataset data, create the audi_cars DataFrame.
  2. Insert a column named 'price' between the year and fueltype columns. Use the .insert() method and populate it with the following values: [12500, 16500, 16800, 17300, 13900].

Everything was clear?

Section 1. Chapter 8
toggle bottom row
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