python pandas dataframe add empty row

Certainly! Adding an empty row to a Pandas DataFrame in Python can be useful in scenarios where you want to insert a new record or create a placeholder row. Below is a tutorial on how to add an empty row to a Pandas DataFrame with code examples.
First, you need to import the Pandas library, assuming it's already installed. If not, you can install it using pip install pandas.
Let's create a sample DataFrame for demonstration purposes.
To add an empty row to the DataFrame, you can use the loc method along with the length of the DataFrame to insert a new row with NaN (Not a Number) values.
This code first determines the number of columns in the original DataFrame, then creates a new DataFrame with the same column names but filled with empty strings. Finally, it appends this empty row to the original DataFrame using the append method.
If you want to add multiple empty rows at once, you can adjust the number of rows in the pd.DataFrame constructor.
This code creates a DataFrame with multiple empty rows and appends them to the original DataFrame.
In this tutorial, you learned how to add an empty row to a Pandas DataFrame in Python. This technique can be handy when you need to insert new records or create placeholders in your data analysis workflow.
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