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Use the df.rename() function and refer the columns to be renamed. Not all the columns have to be renamed: df = df.rename(columns={'oldName1': 'newName1', 'oldName2': 'newName2'}) # Or rename the existing DataFrame (rather than creating a copy)
7 Αυγ 2023 · You can rename (change) column and/or index names in a pandas.DataFrame by using the rename(), add_prefix(), add_suffix(), set_axis() methods or by directly updating the columns and/or index attributes. Similarly, you can rename index names of a pandas.Series.
3 Μαρ 2021 · To rename columns in a Pandas DataFrame, you have two options: using the rename () method or the columns attribute. The .rename () method allows you to pass in existing labels and the ones you want to use. The .columns attribute allows you to specify a list of values to use as column labels.
9 Μαρ 2023 · You will learn the following functions available in the pandas to rename columns of a simple DataFrame as well as multi-index DataFrame. Table of contents. The DataFrame.rename () function. Rename a single column. Rename multiple columns. Using rename with axis=’columns’ or axis=1. Rename columns in place. Rename column using a function.
13 Ιαν 2023 · A Pandas Dataframe is a 2-dimensional data structure that displays data in tables with rows and columns. In this article, you'll learn how to rename columns in a Pandas Dataframe by using: The rename () function. A List. The set_axis () function.
5 Μαρ 2024 · One of the most flexible methods to rename columns in a Pandas DataFrame is by using its rename() method, which allows for renaming specific columns via a dictionary argument. The keys are the old column names and the values are the new names.
18 Φεβ 2024 · This article will guide you through different methods to achieve such column renaming. Method 1: Using DataFrame’s rename() Method. The rename() method in Pandas allows you to rename specific columns by passing a dictionary where keys are the current column names and values are the new column names. This method is particularly flexible as it ...
