如何编写跨多个pandas数据帧丢弃NaN值的循环

import pandas as pd

df1 = pd.DataFrame({'A': [1, 2, None, 4], 'B': [5, None, 7, 8]})
df2 = pd.DataFrame({'A': [None, 2, 3, 4], 'B': [5, 6, None, 8]})
df3 = pd.DataFrame({'A': [1, 2, 3, 4], 'B': [None, 6, 7, None]})

data_frames = [df1, df2, df3]

for df in data_frames:
    df.dropna(inplace=True)

import pandas as pd

df1 = pd.DataFrame({'A': [1, 2, None, 4], 'B': [5, None, 7, 8]})
df2 = pd.DataFrame({'A': [None, 2, 3, 4], 'B': [5, 6, None, 8]})
df3 = pd.DataFrame({'A': [1, 2, 3, 4], 'B': [None, 6, 7, None]})

data_frames = [df1, df2, df3]

for df in data_frames:
    df.dropna(inplace=True)