python pandas sort column by value
Download this code from https://codegive.com
Title: Sorting Columns in Python Pandas by Values: A Step-by-Step Tutorial
Introduction:
Sorting columns in a Pandas DataFrame is a common operation when working with tabular data in Python. The Pandas library provides a straightforward way to sort columns based on their values. In this tutorial, we'll walk through the process of sorting a column in a Pandas DataFrame using real-world examples.
Before we begin, make sure to import the Pandas library in your Python script or Jupyter Notebook.
For demonstration purposes, let's create a simple DataFrame with sample data.
Now, let's sort the DataFrame based on the 'Age' column in ascending order.
To sort in descending order, you can specify the ascending parameter.
You can also sort by multiple columns. In this example, we'll sort first by 'Age' in ascending order and then by 'Salary' in descending order.
By default, the sort_values method returns a new DataFrame. If you want to modify the original DataFrame in-place, you can use the inplace parameter.
Sorting columns in a Pandas DataFrame is a powerful tool for organizing and analyzing data. Whether sorting by a single column or multiple columns, the sort_values method provides a flexible and convenient way to arrange your data according to your specific requirements.
ChatGPT
