![]() ![]() Ok, now that I’ve explained what the Pandas rename method does, let’s look at the syntax. ![]() I’ll show you examples of both of these in the examples section.īut first, let’s take a look at the syntax. This technique is most often used to rename the columns of a dataframe (i.e., the variable names).īut again, it can also rename the row labels (i.e., the labels in the dataframe index). The Pandas rename method is fairly straight-forward: it enables you to rename the columns or rename the row labels of a Python dataframe. Let’s start with a quick introduction to the rename method. If you need something specific, you can click on any of the following links. I’ll explain what the technique does, how the syntax works, and I’ll show you clear examples of how to use it. One Afghanistan 1957 9240934 Asia 30.332 820.853030ģ Afghanistan 1967 11537966 Asia 34.020 836.197138Īre you new to Pandas? And getting started with Pandas recently? Check out our new Byte Sized Pandas 101 tutorials.In this tutorial, I’ll explain how to use the Pandas rename method to rename columns in a Python dataframe. >gapminder.rename(columns=,Ĭountry year pop continent life_exp gdpPercap We will also use inplace=True to change column names in place. Here is an example to change many column names using a dictionary. To change column names using rename function in Pandas, one needs to specify a mapper, a dictionary with old name as keys and new name as values. And not all the column names need to be changed. One can change names of specific column easily. Using rename to change column names is a much better way than before. Pandas rename function to Rename ColumnsĪnother way to change column names in pandas is to use rename function. This approach would not work, if we want to change just change the name of one column. We can check the dataframe to see that if it has new column names using head() function.Ĭountry year population continent life_exp gdp_per_capĪ problem with this approach to change column names is that one has to change names of all the columns in the data frame. This will assign the names in the list as column names for the data frame “gapminder”. To change the columns of gapminder dataframe, we can assign the list of new column names to lumns as One way to rename columns in Pandas is to use df.columns from Pandas and assign new names directly.įor example, if you have the names of columns in a list, you can assign the list to column names directly. One can change the column names of a pandas dataframe in at least two ways. We can also use columns function to get the column names. Let us check the names of the columns of the dataframe, the first three rows of the data, using head function.Ĭountry year pop continent lifeExp gdpPercapĠ Afghanistan 1952 8425333 Asia 28.801 779.445314ġ Afghanistan 1957 9240934 Asia 30.332 820.853030Ģ Afghanistan 1962 10267083 Asia 31.997 853.100710 Let us use gapminder data from software carpentry website. How to change row names or row indexes of a pandas dataframe?.How to rename columns of pandas dataframe?.One of the most common operations one might do while cleaning the data or doing exploratory data analysis in doing data science is manipulating/fixing the column names or row names. Change Column Names and Row Indexes in Pandas
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