Скачать или смотреть How to Create a New Column from Another Column in Python with Pandas

Learn how to effectively create a new column in Python's Pandas library by extracting values from existing columns, perfect for data manipulation tasks!
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Creating a New Column from Another Column in Python

Managing data in Python can be a challenging task, especially when you're dealing with large datasets in Excel. A common question that arises during data manipulation is how to create a new column based on the values from an existing column. In this guide, we will walk you through the steps to create a new column in a Pandas DataFrame using a practical example.

The Problem

Imagine you have a dataset that looks like the following:

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In this example, you want to extract the maximum price for each type (shoes and clothes) and move these values into a new column called new price. The goal is to restructure the data to look like this:

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The Solution

To achieve this, you can use the pandas library, which provides convenient functions to handle data effectively. Let’s break down the solution into manageable steps.

Step 1: Import Pandas

Before you can manipulate your data, ensure that you have the Pandas library installed and then import it in your Python script.

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Step 2: Create Your DataFrame

Next, create a DataFrame from your data. You might usually read this from an Excel file, but for demonstration purposes, we can create it manually.

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Step 3: Add a New Column

Now, you can create the new column newprice by grouping the DataFrame by type and transforming the price column to get the maximum value for each group.

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Step 4: Drop Duplicates

Since you only want the first occurrence of each type while keeping the maximum price in the new column, you should drop the duplicate rows based on the type column:

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Step 5: Print the Final DataFrame

Finally, print the DataFrame to see the result:

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Expected Output

When you run the code, the output will be:

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Conclusion

Manipulating data in Python using the Pandas library can greatly simplify tasks like creating new columns based on existing values. In this guide, we went through how to create a new column by extracting maximum values from another column and format your DataFrame for better data representation. This method is especially useful when working with large datasets in Excel.

By following these steps, you can handle various data manipulations that may arise in your data analysis tasks. Happy coding!