Finally, when you're finished cleaning your data table, you can save it to your computer with the to csv function like you see right here. Start with the dataframe name as it exists in your Jupyter Notebook and then dot to csv to call that to csv function. And then just put the file path exactly as you would as if you were using the read csv function. At the end of the file path, include the new document name and make sure to include the file extension csv. The index equals none argument, prevents the function from adding an index number to each row, which you don't need in this case because it would add an extra column with 0, 1, 2, 3, et cetera. So you can add that if you like. In this case, it's not necessary, so we're gonna include the argument index equals none.