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import pandas as pd data = { "age": [50, 40, 30], "qualified": [True, False, False] } idx = ["Sally", "Mary", "John"] df = pd.DataFrame(data, index=idx) newdf = df.rename({"Sally": "Pete", "Mary": "Patrick", "John": "Paula"}) print(newdf)
age qualified Pete 50 True Patrick 40 False Paula 30 False
