From v0.24+, to rename one (or more) columns at a time, DataFrame.rename()with axis=1or axis='columns'(the axisargument was introduced in v0.21. Same as above example, you can only use this method if you want to rename all columns. 2.2 Rename particular column. Two ways of modifying column titles See also You can rename (change) column / index names (labels) of pandas.DataFrame by using rename (), add_prefix () and add_suffix () or updating the columns / index attributes. The columns can also be renamed by directly assigning a list containing the new names to the columns attribute of the dataframe object for which we want to rename the columns. Drop rows from Pandas dataframe with missing values or NaN in columns, Loop or Iterate over all or certain columns of a dataframe in Python-Pandas, Get the number of rows and number of columns in Pandas Dataframe. Let’s change the “name” header to say “Book Name” and “sold” to say “Copies Sold”: The rename() method renames our columns. Let’s look at how you can do this, because there’s more than one … Continue reading Basic Pandas: Renaming a DataFrame column We walk through two examples to help you get started with these techniques. 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Use the pandas dataframe set_axis () method to change all your column names. So this is the recipe on How we can rename multiple column headers in a Pandas DataFrame. Now you’re ready to rename columns in Pandas like an expert! Example 1: Rename Single Column In [7]: df. 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You can rename a single column or multiple columns of a pandas DataFrame using pandas.DataFrame.rename() method. You rename a single column using the rename() function. And not all the column names need to be changed. Given a Pandas DataFrame, let’s see how to rename column names. In [20]: df = pd. Fortunately this is easy to do using the pandas rename() function, which uses the following syntax:. We can chec… James Gallagher is a self-taught programmer and the technical content manager at Career Karma. The same methods can be used to rename the label (index) of pandas.Series. 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