python pandas union two dataframes

Pandas is a powerful data manipulation library in Python, and it provides various functions to handle and analyze tabular data efficiently. One common operation is to combine or union two DataFrames. In this tutorial, we'll explore how to union two DataFrames in Python using the pandas library with code examples.
Make sure you have Python and pandas installed. If you haven't installed pandas yet, you can do so using the following command:
Start by importing the pandas library in your Python script or Jupyter Notebook.
Let's create two sample DataFrames to demonstrate the union operation.
The concat function in pandas is used to concatenate DataFrames along a particular axis. To union two DataFrames vertically (i.e., stacking them on top of each other), set the axis parameter to 0.
In this example, the ignore_index=True parameter is used to reset the index of the resulting DataFrame.
The append method is another way to concatenate DataFrames. It appends the rows of one DataFrame to the end of another.
That's it! You've learned how to union two DataFrames in Python using pandas. Whether you choose the concat function or the append method, both approaches achieve the same result.
Feel free to explore additional parameters of these functions to customize the union operation based on your specific requirements. The flexibility of pandas makes it a powerful tool for handling and manipulating tabular data in Python.
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