2/3/2024 0 Comments Pandas renameLambda function opens the whole new possibilities of renaming columns as you want just with a line of code. You can rename those columns with a dictionary where you can use dictionary keys and values to rename columns in a pandas DataFrame. Rather than doing this manually, we have done this with the lambda function as shown below. ![]() In our example, we wish to add the prefix ‘Cmp_’ in front of every column name. Length of names must match number of levels in MultiIndex. This really adds to the flexibility and power that rename() function offers. rename (name, inplace False) source Alter Index or MultiIndex name. If you wish to change rename columns of pandas dataframe programmatically it can be done by rename() by using lambda function. In : df.rename(columns= str.upper, inplace = True)Įxample 7 – Rename Pandas Column Names with Lambda Function Just like the above example, we can also change column names to upper cases with rename() function as shown below. In : df.rename(columns= str.lower, inplace = True)Įxample 6 – Change Column Names to Upper Case in Pandas ![]() It is quite easy to rename all columns of pandas dataframe to lower case with rename() function as shown in the below example. Let us create a sample dataframe in pandas that will be used in all the subsequent examples to change column name in Pandas.ĭata =, inplace = True)Įxample 5 – Rename Column Names to Lower Case in Pandas In specific we will cover three main approaches of columns attribute, set_axis(), and rename() function for pandas rename of columns along with examples. In this tutorial, we will show you various ways how to rename column in Pandas dataframe. 5.5 Example 7 – Rename Pandas Column Names with Lambda Function.5.4 Example 6 – Change Column Names to Upper Case in Pandas.5.3 Example 5 – Rename Column Names to Lower Case in Pandas.5 Rename Column Names in Pandas with rename().4 Change Column Names in Pandas with set_axis().3 Change Column Names in Pandas with Column Attribute.This article intentionally omits legacy approaches that shouldn’t be used anymore. Stick to the column renaming methods mentioned in this post and don’t use the techniques that were popular in earlier versions of Pandas. df.rename(lambda x: x.replace(" ", "_"), axis="columns", inplace=True) You can create a function to rename them: names iter ( 'a', 'b') def renamer (col): return next (names) df.rename (renamer, axis'columns', inplaceTrue) The advantage of this approach is that it is enough that you know the order of the columns to rename and renamer function does not even have to use its parameter. When I need to apply successive steps of data transformation to a DataFrame (i.e. Write a function that’ll replace all the spaces with underscores in the column names. Rename pandas DataFrame columns in method chaining. Simple exampleĬreate a Pandas DataFrame and print the contents. There are multiple different ways to rename columns and you’ll often want to perform this operation, so listen up. Values of the DataFrame are replaced with other values dynamically. ![]() ![]() This article explains how to rename a single or multiple columns in a Pandas DataFrame. DataFrame.replace(toreplaceNone, valueNoDefault.nodefault,, inplaceFalse, limitNone, regexFalse, methodNoDefault.nodefault) source Replace values given in toreplace with value.
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