Python Use last characters of a column to populate new values to existing columns

Title: Using Python to Populate Existing Columns with Last Characters of Another Column
Introduction:
In this tutorial, we will explore how to use Python to extract the last characters from a column in a DataFrame and use them to populate new values in existing columns. This can be a useful operation when you have data that includes information at the end of a string, such as codes or identifiers. We will be using the pandas library, a powerful data manipulation library in Python, for this task.
Prerequisites:
Step 1: Install Required Libraries
Ensure that you have pandas installed. If not, install it using the following command:
Step 2: Import Libraries
Start by importing the necessary libraries in your Python script or Jupyter Notebook:
Step 3: Create a Sample DataFrame
For this tutorial, let's create a sample DataFrame with a column named 'original_column' that contains strings:
Step 4: Extract Last Characters and Populate New Column
Now, let's create a new column, 'new_column,' and populate it with the last two characters from 'original_column':
Explanation:
Step 5: Customize for Your Data
Modify the code according to your specific requirements. You can change the number of characters to extract or use different columns as needed.
Example with a CSV File:
If you have a CSV file with a similar structure, you can read it into a DataFrame and perform the same operation:
Conclusion:
This tutorial demonstrated how to use Python, specifically the pandas library, to extract the last characters from a column and populate new values in existing columns. This technique can be valuable for data preprocessing and cleaning tasks in various data analysis and machine learning projects. Feel free to adapt the code to suit your specific needs.
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