如何根据特定条件用列表值替换Pandas Dataframe中的元素？

import pandas as pd

# 创建一个简单的DataFrame
data = {'A': [1, 2, 3, 4],
        'B': [10, 20, 30, 40],
        'C': [100, 200, 300, 400]}
df = pd.DataFrame(data)

# 设置要替换的条件和值
condition = (df['A'] > 2) & (df['B'] < 40)
replacement_values = ['NewValue1', 'NewValue2']

# 使用.loc[]方法替换元素
df.loc[condition, 'C'] = replacement_values

print(df)

import pandas as pd

# 创建一个简单的DataFrame
data = {'A': [1, 2, 3, 4],
        'B': [10, 20, 30, 40],
        'C': ['foo', 'bar', 'baz', 'qux']}
df = pd.DataFrame(data)

# 设置要替换的条件和值
condition = df['A'] > 2
replacement_dict = {df.loc[condition, 'C'].values[0]: 'NewValue1', df.loc[condition, 'C'].values[1]: 'NewValue2'}

# 使用.replace()方法替换元素
df['C'] = df['C'].replace(replacement_dict)

print(df)