如何在pandas数据框列中迭代

import pandas as pd

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

for column in df:
    print(column)

A
B

import pandas as pd

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

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

A
0    1
1    2
2    3
Name: A, dtype: int64
B
0    4
1    5
2    6
Name: B, dtype: int64

import pandas as pd

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

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

1
4
2
5
3
6

import pandas as pd

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

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

1
4
2
5
3
6