Sort two columns based on type Pandas Python смотреть онлайн

In this tutorial, you will learn how to sort a DataFrame in Pandas based on the types of values in two columns. This can be useful when you have a DataFrame with mixed data types in multiple columns and you want to sort the rows based on the values in two specific columns. We will use Python's Pandas library for this purpose.
Before you begin, ensure you have the following prerequisites:
Python installed on your system.
Pandas library installed. You can install it using pip if you haven't already:
First, you need to import the Pandas library into your Python script or Jupyter Notebook.
For this tutorial, we will create a sample DataFrame with mixed data types in two columns: "Age" and "Salary". You can replace this with your own DataFrame or load data from a CSV file or any other source.
To sort the DataFrame based on two columns, we can use the sort_values() method. In this case, we will sort based on the "Age" and "Salary" columns.
Finally, you can display the sorted DataFrame to see the results.
This will print the DataFrame with rows sorted based on the "Age" and "Salary" columns.
Here's the complete code example:
You have learned how to sort a Pandas DataFrame based on the types of values in two columns using the sort_values() method. This can be helpful when dealing with datasets that have mixed data types and you need to order the data based on specific criteria.
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