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5 paź 1985 · You must first use Index.rename() to apply the new index level names to the Index and then use DataFrame.reindex() to apply the new index to the DataFrame. Examples: For Pandas version < 0.13. df.index.names = ['Date'] For Pandas version >= 0.13. df = df.reindex(df.index.rename(['Date']))
pandas.Index.rename# Index. rename (name, *, inplace = False) [source] # Alter Index or MultiIndex name. Able to set new names without level. Defaults to returning new index. Length of names must match number of levels in MultiIndex. Parameters: name label or list of labels. Name(s) to set. inplace bool, default False
18 wrz 2021 · In this tutorial, you’ll learn how to use Pandas to rename an index, including how to rename a Pandas dataframe index and a Pandas multi-index dataframe. By renaming a Pandas dataframe index, you’re changing the name of the index column. The Quick Answer: Use df.index.names.
Use df.index.rename('foo', inplace=True) to set the index name. Seems this api is available since pandas 0.13.
9 mar 2019 · df.rename_axis(None, axis=1).rename_axis('id', axis=0) ##if pd.__version__ == 0.24.0. #df.rename_axis([None], axis=1).rename_axis('id') The problem is that 'summary' is your column name. When there is no index name, the column name is placed directly above the index, which can be misleading: import pandas as pd.
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.
The rename() method allows you to change the row indexes, and the columns labels. Syntax dataframe .rename( mapper , index, columns, axis, copy, inplace, level, errors)
