Скачать или смотреть Python Pandas Skip reading header row but keep it and add it back when writing

In this tutorial, you will learn how to skip reading the header row in a CSV file using Python Pandas, keep the header information, and then add it back when writing the data back to a new CSV file. This can be useful when you want to perform operations on the data without modifying the header row.
We'll go through the following steps:
Let's get started:
We need to import the Pandas library to work with dataframes and CSV files.
In this step, we will read a CSV file while skipping the header row. We'll use the pd.read_csv() method and pass the header parameter as None to indicate that there is no header. We'll also provide the names parameter to assign column names later.
Now that you have the data without the header row, you can perform any data manipulation or analysis you need. For example:
After performing the necessary operations, you can add the header back to the dataframe.
Finally, you can write the modified data, including the header, to a new CSV file using the to_csv() method.
Now, you have successfully read a CSV file without the header row, performed operations on the data, added the header back, and saved the modified data to a new CSV file.
Here's the complete code for your reference:
This tutorial should help you work with CSV files in Pandas, skipping and adding the header row as needed for your data processing tasks.
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