python pandas split a column into two

Опубликовано: 29 Январь 2025
на канале: CodeTwist

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Certainly! Splitting a column into two in Python using the Pandas library is a common task, and it can be achieved using the str.split() method. In this tutorial, I'll guide you through the process with a step-by-step explanation and provide a code example.
Before we start, make sure you have Pandas installed. If not, you can install it using:
Now, let's import Pandas in your Python script or Jupyter Notebook:
For this tutorial, let's create a simple DataFrame with a column that we want to split into two. Here's an example:
This will create a DataFrame like this:
Now, let's split the 'Full_Name' column into 'First_Name' and 'Last_Name'. We'll use the str.split() method and create two new columns:
In this code, str.split(expand=True) returns a DataFrame with the split values as separate columns. The new DataFrame will look like this:
If your original column contains extra spaces, you might want to strip them before or after splitting:
If there are missing values in your column, you may want to handle them using dropna() or fillna():
That's it! You have successfully split a column into two using Pandas in Python. This technique is versatile and can be adapted for various scenarios where you need to separate data within a column.
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