Now the columns are not just a list of strings, but rather an Index, so under the hood the DataFrame will do some work to ensure you do the right thing here.
#Rename column pandas update#
Here’s an easy way, but requires you do update all the columns at once. 5)īut let’s say you do want to really just rename the column in place. While this isn’t very efficient, for ad-hoc data exploration, it’s quite common. You can complete the rename by dropping the old column. Depending on what you’re working on, and how much memory you can spare, and how many columns you want to deal with, adding another column is a good way to work when you’re dealing with ad-hoc exploration, because you can always step back and repeat the steps since you have the intermediate data.
Sometimes your desire to rename a column is associated with a data change, so maybe you just end up adding a column instead. What if we want to rename the columns? There is more than one way to do this, and I’ll start with an indirect answer that’s not really a rename. Let’s say we have a pandas DataFrame with several columns. Let’s look at how you can do this, because there’s more than one way. Or maybe you just changed your mind during an interactive session.
Maybe the columns were supplied by a data source like a CSV file and they need cleanup. A very common need in working with pandas DataFrames is to rename a column.
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