Text files are another common data format, and the pandas library makes it easy to work with them — often more straightforward than using traditional methods. To read text files, you'll often use the same function, pd.read_csv(). However, to ensure the text file is read correctly, it's essential to use an additional parameter called sep, which stands for separator or delimiter in the text. Here's an example:

If your text file doesn't have a header row containing column names, set the header parameter to None. Doing so informs pandas not to treat the first row as column names.

Note

To specify a new line as the separator, use the code: sep='\r' where '\r' represents the carriage return.

Let's put this into practice!