如何在pandas中迭代列标题和行值？

import pandas as pd

# 创建一个示例DataFrame
df = pd.DataFrame({
    'A': [1, 2, 3],
    'B': [4, 5, 6],
    'C': [7, 8, 9]
})

# 迭代列标题
for column in df.columns:
    print(column)

for index, row in df.iterrows():
    print(f"Row index: {index}")
    print(row)

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

def process_row(row):
    # 在这里处理每一行
    print(row)

df.apply(process_row, axis=1)

import pandas as pd

# 创建一个示例DataFrame
df = pd.DataFrame({
    'A': [1, 2, 3],
    'B': [4, 5, 6],
    'C': [7, 8, 9]
})

# 迭代列标题
print("Column titles:")
for column in df.columns:
    print(column)

# 迭代行值
print("\nRow values:")
for index, row in df.iterrows():
    print(f"Row index: {index}, Values: {row.tolist()}")

# 使用itertuples()迭代行值
print("\nRow values using itertuples():")
for row in df.itertuples():
    print(row)

# 使用apply()迭代行值
print("\nRow values using apply():")
def process_row(row):
    print(f"Row index: {row.name}, Values: {row.tolist()}")

df.apply(process_row, axis=1)