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Rename Specific Columns. 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) df.rename(columns={'oldName1': 'newName1', 'oldName2': 'newName2'}, inplace=True)
DataFrame. rename (mapper = None, *, index = None, columns = None, axis = None, copy = None, inplace = False, level = None, errors = 'ignore') [source] # Rename columns or index labels. Function / dict values must be unique (1-to-1).
26 Ιουν 2024 · To rename only certain columns in Pandas DataFrame, you can specify the columns you want to rename in the dictionary passed to rename(). import pandas as pd # Example DataFrame df = pd.DataFrame({ 'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9] }) # Rename specific columns df.rename(columns={'A': 'New_A', 'C': 'New_C'}, inplace=True) print(df)
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.
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.
17 Σεπ 2021 · You can use one of the following three methods to rename columns in a pandas DataFrame: Method 1: Rename Specific Columns. df.rename(columns = {'old_col1':'new_col1', 'old_col2':'new_col2'}, inplace = True) Method 2: Rename All Columns.
9 Μαρ 2023 · In Python, renaming columns label is useful when working with a pandas Dataframe with no column names or want to rename a specific column’s names. This article covers all the cases of renaming column labels of the pandas DataFrame.
