python pandas dataframe add column with default value

Опубликовано: 02 Октябрь 2024
на канале: CodeHut

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Pandas is a powerful data manipulation library in Python, and DataFrames are a central data structure in Pandas. In this tutorial, we will explore how to add a new column to a Pandas DataFrame with a default value.
Before proceeding, make sure you have Python and Pandas installed. You can install Pandas using the following command:
Let's start by creating a simple DataFrame to work with.
Now, let's add a new column to the DataFrame with a default value. In this example, we will add a column named 'City' with the default value 'Unknown'.
This will result in a DataFrame with the 'City' column added, and all rows will have the default value 'Unknown' in the 'City' column.
Sometimes, you may want the default value to be derived from another column's values. Let's say we want the default value of the 'Country' column to be based on the value in the 'City' column.
In this example, the 'Country' column is populated with the value from the 'City' column, and if the 'City' value is missing (null), it defaults to 'Unknown'.
You have now learned how to add a new column to a Pandas DataFrame with a default value. This is a common operation when working with data, and Pandas makes it easy to manipulate and modify DataFrames to suit your needs. Feel free to explore other functionalities and customize the default values based on your specific requirements.
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