如何使用Python根据当前值填充缺少的值？

def fill_missing_values(data, default_value):
    filled_data = []
    for value in data:
        if value is None:
            filled_data.append(default_value)
        else:
            filled_data.append(value)
    return filled_data

import pandas as pd

data = [1, None, 3, None, 5]
df = pd.DataFrame(data, columns=['Value'])
filled_df = df['Value'].fillna(method='ffill')  # 使用前一个非缺失值填充

import numpy as np

data = [1, None, 3, None, 5]
filled_data = np.nan_to_num(data, nan=0)  # 将缺失值替换为0