HINT: You can only run this cell once. If you run this cell twice, the second time, it will throw an error because the feature you are trying to drop no longer exist because you already dropped it.

Step 5: To drop multiple columns, you place the columns that you want in a list. This is an example code of how you could drop multiple columns at once.

This is what our dataset will look like after dropping multiple columns. As you can see, “Year, Beer, and Wine” columns are gone

There you have it. That is how to drop or delete a column with pandas and python.