如何在行级根据某些元素与其他列名的相似度更新pandas列单元格值

import pandas as pd
from difflib import SequenceMatcher

data = {'Name': ['John', 'Alice', 'Bob', 'David'],
        'Age': [25, 30, 35, 40],
        'City': ['New York', 'London', 'Paris', 'Tokyo']}
df = pd.DataFrame(data)

def similarity(a, b):
    return SequenceMatcher(None, a, b).ratio()

def update_cell(row):
    name = row['Name']
    city = row['City']
    similarity_score = similarity(name, city)
    if similarity_score >= 0.5:
        row['City'] = name
    return row

df = df.apply(update_cell, axis=1)