在删除nans时提取panda dataframe中每一行的列表

import pandas as pd

# 创建一个示例DataFrame
data = {'A': [1, 2, None, 4],
        'B': [5, None, 7, 8],
        'C': [9, 10, 11, None]}
df = pd.DataFrame(data)

# 提取每一行的列表并删除NaN值
for index, row in df.iterrows():
    row_list = row.tolist()  # 将Series转换为列表
    row_list_without_nan = [x for x in row_list if pd.notnull(x)]  # 删除NaN值
    print(row_list_without_nan)

[1, 5, 9]
[2, 7, 10]
[4, 8, 11]