W3School TIY Editor

import pandas as pd data = { "age": [50, 40, 30, 40], "qualified": [True, False, False, False] } idx = ["Sally", "Mary", "John", "Monica"] df = pd.DataFrame(data, index=idx) print("--------BEFORE--------") print(df) newidx = ["Robert", "Cindy", "Chloe", "Pete"] newdf = df.reindex(newidx) print("--------AFTER--------") print(newdf) # 注意：值被设置为 NaN，这是当新索引与旧索引不同时的默认行为。