有没有办法遍历Pandas Dataframe？

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})

for index, row in df.iterrows():
    print(index, row['A'], row['B'])

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})

for row in df.itertuples():
    print(row.Index, row.A, row.B)

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})

for column, series in df.iteritems():
    print(column, series.values)

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})

# 对每一行应用自定义函数
def custom_function(row):
    return row['A'] + row['B']

df['C'] = df.apply(custom_function, axis=1)

# 对每一列应用自定义函数
def custom_function(column):
    return column.mean()

df['D'] = df.apply(custom_function, axis=0)

print(df)