This article intentionally omits legacy approaches that shouldn’t be used anymore. Renaming a column or multiple columns in a Pandas dataframe is a very common task during that process and is quite straightforward to do using Pandas. Using the Columns Method Using the Rename Method. Stick to the column renaming methods mentioned in this post and don’t use the techniques that were popular in earlier versions of Pandas. Creating a Basic DataFrame Adding Columns and Indices Modifying Column Labels. df.rename(lambda x: x.replace(" ", "_"), axis="columns", inplace=True)
Write a function that’ll replace all the spaces with underscores in the column names. Simple exampleĬreate a Pandas DataFrame and print the contents. But again, it can also rename the row labels (i.e., the labels in the dataframe index). Here the rename() method is used for renaming the columns of the dataframe and the rename operation is applied upon the column values using the axis technique. Or you can use a mapping function: df.rename (columnsstr.upper, inplaceTrue) df. import pandas as pd ufocols 'city', 'color reported', 'shape reported', 'state', 'time' ufo.columns ufocols ufo pd.readcsv ('link to the file you are using', names ufocols, header 0) In this case, all the column names will be replaced with the names you have in your list.
df.columns df. ('').str -1.str.strip () rename returns a copy of the dataframe which is unnecessary since you aren't actually making any transformations on the data. This is the easiest way to rename a single column, but you can rename multiple columns by adding moreThis works even if the separator is not present. This technique is most often used to rename the columns of a dataframe (i.e., the variable names). 1 No need for rename here, you can just split on your separator symbol and retrieve the last split. There are multiple different ways to rename columns and you’ll often want to perform this operation, so listen up. The Pandas rename method is fairly straight-forward: it enables you to rename the columns or rename the row labels of a Python dataframe. Good column names are descriptive, brief, and follow a.
#PANDAS RENAME HOW TO#
For example, if creating the dataframe required querying a snowflake database.This article explains how to rename a single or multiple columns in a Pandas DataFrame. One of the most basic and common operations on a DataFrame is to rename the row or column names. I have often seen people fall into this case if creating the dataframe is an expensive task. Not all the columns have to be renamed: df = df.rename(columns=, inplace=True)Īlternatively, there are cases where you want to preserve the original dataframe. Use the df.rename() function and refer the columns to be renamed.
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