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  1. pandas.DataFrame.rename# DataFrame. rename ( mapper = None , * , index = None , columns = None , axis = None , copy = None , inplace = False , level = None , errors = 'ignore' ) [source] # Rename columns or index labels.

  2. 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)

  3. Learn how to change the row indexes and the columns labels of a DataFrame using the rename () method. See the syntax, parameters, return value and examples of this function.

  4. 17 wrz 2018 · Given a Pandas DataFrame, let’s see how to rename columns in Pandas with examples. Here, we will discuss 5 different ways to rename column names in Pandas DataFrame. Pandas Rename Column df.rename(columns={'old_column_name1': 'new_column_name1', 'old_column_name2': 'new_column_name2'}, inplace=True)Pandas Rename ColumnRename Column Pandas ...

  5. pandas.DataFrame.rename ¶. DataFrame.rename(index=None, columns=None, **kwargs) ¶. Alter axes input function or functions. Function / dict values must be unique (1-to-1). Labels not contained in a dict / Series will be left as-is. Alternatively, change Series.name with a scalar value (Series only). See also. pandas.NDFrame.rename_axis. Examples.

  6. 3 mar 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.

  7. pandas.DataFrame.renameDataFrame. rename ( mapper=None , index=None , columns=None , axis=None , copy=True , inplace=False , level=None ) [source] ¶ Alter axes labels.

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