如何使用pandas重塑每第n行的数据？

import pandas as pd

data = {'A': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
        'B': ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j']}
df = pd.DataFrame(data)

n = 2  # 每第n行
selected_rows = df.iloc[::n, :]

reshaped_data = selected_rows.values.reshape(-1, 2)

import pandas as pd

data = {'A': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
        'B': ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j']}
df = pd.DataFrame(data)

n = 2  # 每第n行
selected_rows = df.iloc[::n, :]
reshaped_data = selected_rows.values.reshape(-1, 2)

print(reshaped_data)

[[1 'a']
 [3 'c']
 [5 'e']
 [7 'g']
 [9 'i']]