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。