Скачать или смотреть pandas outer join two dataframes

Download this code from https://codegive.com
Title: Performing Outer Join on Two DataFrames using Pandas - A Step-by-Step Tutorial
Introduction:
Pandas is a powerful data manipulation library in Python that provides various functions for working with structured data. One common operation is joining two DataFrames, and an outer join is particularly useful when you want to include all rows from both DataFrames, filling in missing values with NaN (Not a Number). In this tutorial, we'll guide you through the process of performing an outer join on two DataFrames using Pandas.
Requirements:
Make sure you have Pandas installed. If not, you can install it using the following command:
Step 1: Import Pandas
Step 2: Create Two Sample DataFrames
For the purpose of this tutorial, let's create two simple DataFrames to work with.
Step 3: Perform Outer Join
Now, let's perform an outer join on the 'ID' column to combine the two DataFrames.
Explanation:
Step 4: View the Result
Now, let's display the result to see the effect of the outer join.
Output:
Conclusion:
Performing an outer join using Pandas allows you to combine two DataFrames while retaining all rows from both, filling in missing values with NaN where necessary. This tutorial provides a simple guide and example code to help you understand and implement an outer join in your data analysis tasks.
ChatGPT